Feeds:
Posts
Comments

Archive for the ‘Experimental validation’ Category

Evolution of Myoglobin and Hemoglobin

Author and Curator: Larry H. Bernstein, MD, FCAP 

Nitric oxide dioxygenase function and mechanism of flavohemoglobin, hemoglobin, myoglobin and their associated reductases

Paul R. Gardner
Journal of Inorganic Biochemistry Jan 2005;  99(1): 247–266
http://dx.doi.org:/10.1016/j.jinorgbio.2004.10.003

Microbial flavohemoglobins (flavoHbs) and hemoglobins (Hbs) show large radical dotNO dioxygenation rate constants ranging from 745 to 2900 μM−1 s−1 suggesting a primal radical dotNO dioxygenase (NOD) (EC 1.14.12.17) function for the ancient Hb superfamily. Indeed, modern O2-transporting and storing mammalian red blood cell Hb and related muscle myoglobin (Mb) show vestigial radical dotNO dioxygenation activity with rate constants of 34–89 μM−1 s−1. In support of a NOD function, microbial flavoHbs and Hbs catalyze O2-dependent cellular radical dotNO metabolism, protect cells from radical dotNO poisoning, and are induced by radical dotNO exposures. Red blood cell Hb, myocyte Mb, and flavoHb-like activities metabolize radical dotNO in the vascular lumen, muscle, and other mammalian cells, respectively, decreasing radical dotNO signalling and toxicity. HbFe(III)–OOradical dot, HbFe(III)–OONO and protein-caged [HbFe(III)–Oradical dotradical dotNO2] are proposed intermediates in a reaction mechanism that combines both O-atoms of O2 with radical dotNO to form nitrate and HbFe(III). A conserved Hb heme pocket structure facilitates the dioxygenation reaction and efficient turnover is achieved through the univalent reduction of HbFe(III) by associated reductases. High affinity flavoHb and Hb heme ligands, and other inhibitors, may find application as antibiotics and antitumor agents that enhance the toxicity of immune cell-derived radical dotNO or as vasorelaxants that increase radical dotNO signaling.

http://ars.els-cdn.com/content/image/1-s2.0-S016201340400296X-gr1.sml

NO-NOD-NOR map

http://ars.els-cdn.com/content/image/1-s2.0-S016201340400296X-gr2.sml

http://ars.els-cdn.com/content/image/1-s2.0-S016201340400296X-gr3.sml

The evolution of the globin family genes: Concordance of stochastic and augmented maximum parsimony genetic distances for α hemoglobin, β hemoglobin and myoglobin phylogenies
R Holmquist, TH Jukes, H Moise, M Goodman, GW Moore
Journal of Molecular Biology Jul 1976; 105(1): 39–74
http://dx.doi.org:/10.1016/0022-2836(76)90194-7

We compare the amino acid sequences of 70 globing, representing the following families: (a) α hemoglobin chains; (b) β hemoglobin chains; (c) myoglobins; (d) two lamprey, a mollusc, and two plant globins. The comparisons show a convergence of maximal and minimal estimates of genetic differences as calculated respectively by the stochastic and maximum parsimony procedures, thus demonstrating for the first time the logical consistency and complementarity of the two procedures. Evolutionary rates are non-constant, varying over a range of 1 to 75 nucleotide replacements per 100 codons per 108 years. These rate differentials are resolved into two components (a) due to change in the number of codon sites free to fix mutations during the period of divergence of the species involved; (b) due to change in fixation intensity at each site. These two components also show non-uniformity along different lineages. Positive Darwinian natural selection can bring about an increase in either component, and negative or stabilizing selection in protein evolution can lead to decreases. Accelerated rates of globin evolution were found in lineages of cold-blooded vertebrates, some marsupials, and early placental mammals, while slower rates were found in warm-blooded vertebrates, especially higher primates. One manifestation of negative selection in the globins is that minimal 3-base type amino acid replacements occur less frequently than would be expected if base replacements had occurred and were accepted at random. The selection against these replacements is not due to atypical behavior with respect to the change in electrical charge involved in the replacements. Interestingly, the globins from the lamprey, sea hare and the legumes are as distant from one another as are α-hemoglobin and β-hemoglobin from myoglobin.

Hemoglobin Orthologs
http://www.bio.davidson.edu/Courses/Molbio/MolStudents/spring2005/Heiner/ortholog.html

Orthologs are sequences of genes that evolved from a common ancestor and can be traced evolutionarily through different species. By comparing the ortholog sequences of a specific gene between many species, the amino acid sequences which are conserved can be determined. These highly conserved sequences are important, because they provide information on which amino acids are essential to the protein structure and function.

Evolution of Hemoglobin

Hemoglobin is derived from the myoglobin protein, and ancestral species just had myoglobin for oxygen transport. 500 million years ago the myoglobin gene duplicated and part of the gene became hemoglobin. Lampreys are the most ancestral animal to have hemoglobin, and the ancestral version was composed of dimers instead of tetramers and was only weakly cooperative. 100 million years later, the hemoglobin gene duplicated again forming alpha and beta subunits. This form of derived hemoglobin is found in bony fish, reptiles, and mammals, which all have both alpha and beta subunits to form a tetramer (Mathews et al., 2000).

Conserved Sequences

When the amino acid sequences of myoglobin, the hemoglobin alpha subunit, and the hemoglobin beta subunit are compared, there are several amino acids that remain conserved between all three globins (Mathews et al., 2000). These amino acid sequences are considered truly essential, because they have remained unchanged throughout evolution, and therefore are fundamental to the function of the protein. These essential amino acids can be seen in Figure 1, which compares myoglobin, and the alpha and beta subunits of hemoglobin. The histidines in helix F8 and helix E7 are highly conserved. These histidines are located proximally and distally to the heme molecule and keep the heme molecule in place within the hemoglobin protein as seen in Figure 2 (Mathews et al., 2000). This shows that the position of the heme molecule within the globin protein is essential to its function. Likewise, the amino acids in the FG region are also highly conserved. This region of the protein is essential to the conformational change between the T to R states (Mathews et al., 2000). Additionally, the amino acids at the alpha-beta subunit interfaces are highly conserved, because they also affect the conformational change between the subunits, which regulates oxygen affinity and cooperativity. In general, the most highly conserved sequences are located within the interior of the hemoglobin protein where the subunits contact each other (Gribaldo et al., 2003).

A cartoon drawing of the structure of hemoglobin around heme molecule. The histadines in helix F8 and E7 interact directly with the heme molecule.  figure2

http://www.bio.davidson.edu/Courses/Molbio/MolStudents/spring2005/Heiner/figure2.jpg

Figure 2: A cartoon drawing of the structure of hemoglobin around heme molecule. The histadines in helix F8 and E7 interact directly with the heme molecule. http://www.aw-bc.com/mathews/ch07/fi7p5.htm  (permission pending).

Figure 1: The amino acid sequences of myoglobin, alpha subunit of hemoglobin, and beta subunit of hemoglobin. The amino acid sequences highlighted in tan are conserved between all three globins and the amino acid sequences highlighted in gray are conserved between alpha and beta hemoglobin. http://www.aw-bc.com/mathews/ch07/fi7p11.htm (permission pending).

http://www.bio.davidson.edu/Courses/Molbio/MolStudents/spring2005/Heiner/figure1.jpg

Figure 2: A cartoon drawing of the structure of hemoglobin around heme molecule. The histidines in helix F8 and E7 interact directly with the heme molecule. http://www.aw-bc.com/mathews/ch07/fi7p11.htm (permission pending).

Alpha Subunit of Hemoglobin

The alpha subunit of hemoglobin has several amino acid sequences that are conserved across many species and are essential to its function. The alpha subunit of hemoglobin is encoded by the 2 genes HBA1 and HBA2 both located on chromosome 16 (GeneCard, 2005). Click here to see the gene card for HBA1. To determine which amino acid sequences are conserved, I compared the orthologs of HBA1 in Homo sapiens (humans) to 5 additional species including, Xenopus tropicalis (African clawed frog), Danio rerio (Zebra fish), Gallus gallus (Red jungle fowl), Mus musculus (mouse), and Rattus norvegicus (rat) using the Ensembl program. Figure 3 shows the 6 orthologs aligned and the important conserved regions highlighted. The stars indicate amino acids that are conserved between all of the species. As a general observation, the mouse ortholog of HBA is the most similar to human HBA, because it is the most evolutionarily related. The amino acid sequences that are conserved in all globin proteins (highlighted in blue) can be seen in Figure 3. There are also several conserved amino acids that are specifically important to HBA structure (highlighted in red) including: the phenylalanine (F) at position 44, which is in direct contact with the heme group; tyrosine (Y) at position 142, which stabilizes the hemoglobin molecule by forming hydrogen bonds between two of the helices; and glycine (G) at position 26, which is small and therefore allows two of the helices to approach each other, which is important to the structure of hemoglobin (Natzke, 1998). Additionally, there are several proteins found in the alpha subunit that are involved in the movement of the alpha and beta subunits (also highlighted in red) including: the tyrosine (Y) at position 43, which interacts with the beta subunit during the R state, and the arginine (N) at position 143, which interacts with the beta subunit during the T state (Gribaldo et al., 2003).

Mutations

Looking at the effects mutated portions of a gene is also a good way to determine the function of highly conserved sequences. In hemoglobin, deleterious mutations are most common in the heme pockets of the protein and in the alpha and beta subunit interfaces (Mathews et al., 2000). There are several key mutations in highly conserved portions of HBA (highlighted in yellow) including: the substitution of histidine (H) at position 88 to tyrosine (Y), which disrupts the heme molecule leading to decreased oxygen affinity; the substitution of arginine (N) at position 143 to histidine (H), which eliminates a bond in the T state and therefore favors the R state, resulting in increased oxygen affinity; the substitution of proline (P) at position 97 to arginine (N), which alters the alpha-beta contact region and results in the disassociation of the hemoglobin complex; and the substitution of leucine (L) at position 138 for proline (P), which interrupts the helix formation and also results in the disassociation of the hemoglobin complex (Mathews et al., 2000).

Bar-headed Goose Hemoglobin

As mentioned on the previous page, the bar-headed goose has hemoglobin that is specifically adapted to high altitudes. The bar-headed goose hemoglobin has an increased oxygen affinity which allows it to live in low oxygen pressure environments (Liang et al., 2001). This increased oxygen affinity is the result of a mutation at position 121 in the alpha subunit, which is highly conserved in other species, from proline to alanine, as seen in Figure 4 (Liang et al., 2001). This substitution leaves a two-carbon gap between the alpha-beta dimer, which relaxes the T structure and allows it to bind oxygen more readily under lower pressures (Jessen et al. 1991). Thus, comparing orthologs can also be used to explain differences in the oxygen binding capabilities of hemoglobin in different species.

References

Ensembl. Ensembl Genome Browser. http://www.ensembl.org/. Accessed March 2005.

GeneCard. 2005. GeneCard for HBA1. http://genome-www.stanford.edu/cgi-bin/genecards/carddisp?HBA1&search=HBA&suff=txt. Accessed March 2005.

Gribaldo, Simonetta, Didier Casane, Philippe Lopez and Herve Philippe. 2003. Functional Divergence Prediction from Evolutionary Analysis: A Case Study of Vertebrate Hemoglobin. Molecular Biology and Evolution 20 (11): 1754-1759.

Jessen, Timm H et al. 1991. Adaptation of bird hemoglobins to high altitudes: Demonstration of molecular mechanism by protein engineering. Evolution 88: 6519-6522.

Liang, Yuhe et al. 2001. The Crystal Structure of Bar-headed Goose Hemoglobin in Deoxy Form: The Alloseteric Mechanism of a Hemoglobin Species with High Oxygen Affinity. Journal of Molecular Biology 313: 123-137.

Mathews, Christopher, Kensal Van Holde and Kevin Ahern. 2000. Biochemistry 3 rd edition. http://www.aw-bc.com/mathews/ch07/c07emhp.htm .   Accessed March 2005.

Natzke, Lisa. 1998. Hemoglobin. http://biology.kenyon.edu/BMB/Chime/Lisa/FRAMES/hemetext.htm. Accessed March 2005.

Divergence pattern and selective mode in protein evolution: the example of vertebrate myoglobins and hemoglobin chains.
Otsuka J1, Miyazaki K, Horimoto K.
J Mol Evol. 1993 Feb; 36(2):153-81.

The evolutionary relation of vertebrate myoglobin and the hemoglobin chains including the agnathan hemoglobin chain is investigated on the basis of a new view of amino acid changes that is developed by canonical discriminant analysis of amino acid residues at individual sites. In contrast to the clear discrimination of amino acid residues between myoglobin, hemoglobin alpha chain, and hemoglobin beta chain in warm-blood vertebrates, the three types of globins in the lower class of vertebrates show so much variation that they are not well discriminated. This is seen particularly at the sites that are ascertained in mammals to carry the amino acid residues participating in stabilizing the monomeric structure in myoglobin and the residues forming the subunit contacts in hemoglobin. At these sites, agnathan hemoglobin chains are evaluated to be intermediate between the myoglobin and hemoglobin chains of gnathostomes. The variation in the phylogenetically lower class of globins is also seen in the internal region; there the amino acid residues of myoglobin and hemoglobin chains in the phylogenetically higher class exhibit an example of parallel evolution at the molecular level. New quantities, the distance of sequence property between discriminated groups and the variation within each group, are derived from the values of discriminant functions along the peptide chain, and this set of quantities simply describes an overall feature of globins such that the distinction between the three types of globins has been clearer as the vertebrates have evolved to become jawed, landed, and warm-blooded. This result strongly suggests that the functional constraint on the amino acid sequence of a protein is changed by living conditions and that severe conditions constitute a driving force that creates a distinctive protein from a less-constrained protein.

The globin gene repertoire of lampreys: Convergent evolution of hemoglobin and myoglobin in jawed and jawless vertebrates
K Schwarze, KL Campbell, T Hankeln, JF Storz, FG Hoffmann and T Burmester
Mol Biol Evol (2014).  http://dx.doi.org:/10.1093/molbev/msu216

Agnathans (jawless vertebrates) occupy a key phylogenetic position for illuminating the evolution of vertebrate anatomy and physiology. Evaluation of the agnathan globin gene repertoire can thus aid efforts to reconstruct the origin and evolution of the globin genes of vertebrates, a superfamily that includes the well-known model proteins hemoglobin and myoglobin. Here we report a comprehensive analysis of the genome of the sea lamprey (Petromyzon marinus) which revealed 23 intact globin genes and two hemoglobin pseudogenes. Analyses of the genome of the Arctic lamprey (Lethenteron camtschaticum) identified 18 full length and five partial globin gene sequences. The majority of the globin genes in both lamprey species correspond to the known agnathan hemoglobins. Both genomes harbor two copies of globin X, an ancient globin gene that has a broad phylogenetic distribution in the animal kingdom. Surprisingly, we found no evidence for an ortholog of neuroglobin in the lamprey genomes. Expression and phylogenetic analyses identified an ortholog of cytoglobin in the lampreys; in fact, our results indicate that cytoglobin is the only orthologous vertebrate-specific globin that has been retained in both gnathostomes and agnathans. Notably, we also found two globins that are highly expressed in the heart of P. marinus, thus representing functional myoglobins. Both genes have orthologs in L. camtschaticum. Phylogenetic analyses indicate that these heart-expressed globins are not orthologous to the myoglobins of jawed vertebrates (Gnathostomata), but originated independently within the agnathans. The agnathan myoglobin and hemoglobin proteins form a monophyletic group to the exclusion of functionally analogous myoglobins and hemoglobins of gnathostomes, indicating that specialized respiratory proteins for O2 transport in the blood and O2 storage in the striated muscles evolved independently in both lineages. This dual convergence of O2-transport and O2-storage proteins in agnathans and gnathostomes involved the convergent co-option of different precursor proteins in the ancestral globin repertoire of vertebrates.

Globin evolution
Kent Holsinger
http://darwin.eeb.uconn.edu/eeb348/lecturenotes/molevol-multigene/node2.html

I’ve just pointed out the distinction between myoglobin and hemoglobin. You may also remember that hemoglobin is a multimeric protein consisting of four subunits, 2 α\alpha subunits and 2 β\beta subunits. What you may not know is that in humans there are actually two types of α\alpha hemoglobin and four types of β\beta hemoglobin, each coded by a different genetic locus (see Table 1). The five α\alpha -globin loci (α\alpha_1, α\alpha_2, ς\zeta, and two non-functional pseudogenes) are found in a cluster on chromosome 16. The six β\beta-globin loci (ε\epsilon, ϒ\gamma_G, ϒ\gamma_A, δ\delta, β\beta, and a pseudogene) are found in a cluster on chromosome 11. The myoglobin locus is on chromosome 22.

Table 1: Human hemoglobins arranged in developmental sequence. Adult hemoglobins composed of 2 and 2 subunits typically account for less than 3% of hemoglobins in adults (http://sickle.bwh.harvard.edu/hbsynthesis.html).

Not only do we have all of these different types of globin genes in our bodies, they’re all related to one another. Comparative sequence analysis has shown that vertebrate myoglobin and hemoglobins diverged from one another about 450 million years ago. Figure 1 shows a phylogenetic analysis of globin genes from humans, mice, and a variety of Archaea. Focus your attention on the part of the tree that has human and mouse sequences. You’ll notice two interesting things:

Human and mouse neuroglobins (Ngb) are more closely related to one another than they are to other globins, even those from the same species. The same holds true for cytoglobins (Cyg) and myoglobins (Mb).

Within the hemoglobins, only mouse β\beta-globin (Mouse HbB) is misplaced. All other α\alpha- and β\beta-globins group with the corresponding mouse and human loci.

This pattern is exactly what we expect as a result of duplication and divergence. Up to the time that a gene becomes duplicated, its evolutionary history matches the evolutionary history of the organisms containing it. Once there are duplicate copies, each follows an independent evolutionary history. Each traces the history of speciation and divergence. And over long periods duplicate copies of the same gene share more recent common ancestry with copies of the same gene in a different species than they do with duplicate genes in the same genome.

Figure 1: Evolution of globin genes in Archaea and mammals (from [2]).

http://darwin.eeb.uconn.edu/eeb348/lecturenotes/molevol-multigene/img11.png

Evolution of globin genes in Archaea and mammals

Evolution of globin genes in Archaea and mammals

A history of duplication and divergence in multigene families makes it important to distinguish between two classes of related loci: those that represent the same locus in different species and between which divergence is a result of species divergence are orthologs. Those that represent different loci and between which divergence occurred after duplication of an ancestral gene are paralogs. The β\beta-globin loci of humans and chickens are orthologous. The α\alpha $- and $\beta $-globin loci of any pair of taxa are paralogous.

As multigene families go, the globin family is relatively simple and easy to understand. There are only about a dozen loci involved, one isolated locus (myoglobin) and two clusters of loci ($\alpha- and β\beta-globins). You’ll find a diagram of the β\beta-globin cluster in Figure 2. As you can see the β\beta-globins are not only evolutionarily related to one another they occur relatively close to one another on chromosome 11 in humans.

Figure 2: Structure of the human β\beta-globin gene cluster. % identity refers to similarity to the mouse β\beta-globin sequence. From http://globin.cse.psu.edu/html/pip/betaglobin/iplot.ps  (retrieved 28 Nov 2006).

Other families are far more complex. Class I and class II MHC loci, for example are part of the same multigene family. Moreover, immunoglobulins, T-cell receptors, and, and MHC loci are part of a larger superfamily of genes, i.e., all are ultimately derived from a common ancestral gene by duplication and divergence. Table 2 lists a few examples of multigene families and superfamilies in the human genome and the number of proteins produced.

Table 2: A few gene families from the human genome (adapted from [5,6]).
Distribution and conservation of sequence

Distribution and conservation of sequence

https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcRHcfUpQ09ufj8cleSgnhDfQVUEHsTvnYGNxKaPa5wxMqNFzFU6

Distribution and conservation of sequence motifs throughout mammalian beta-globin gene clusters.A detailed map of the gene cluster is shown on the numbered line

evolutionary history of three hypothetical living species (C, D, and E)

evolutionary history of three hypothetical living species (C, D, and E)

the evolutionary history of three hypothetical living species (C, D, and E), inferred by comparing amino-acid differences in their myoglobin molecules.

http://media-1.web.britannica.com/eb-media/98/52998-004-A8682A5B.jpg

oxyhemoglobin dissociation curve

oxyhemoglobin dissociation curve

much higher affinity for oxygen than haemoglobin.

much higher affinity for oxygen than haemoglobin.

http://i.stack.imgur.com/WQJe9.jpg

myoglobin hs much higher oxygen affinity than Hb

Evolution of Myoglobin / Hemoglobin Proteins

Primitive Globin – Very primitive animals had only a myoglobin-like, single-chain ancestral globin for oxygen storage and were so small that they did not require a transport protein. Roughly 500 million years ago the ancestral myoglobin gene was duplicated. One copy became the ancestor of the myoglobin genes of all higher organisms. The other copy evolved into the gene for an oxygen transport protein and gave rise to the hemoglobins.

Most Primitive Hemoglobin – The most primitive animals to possess hemoglobin are the lampreys. Lamprey hemoglobin can form dimers but not tetramers and is only weakly cooperative. It represents a first step toward allosteric binding. Subsequently a second gene duplication must have occurred, giving rise to the ancestors of the present-day  and  hemoglobin chain families. This must have happened about 400 million years ago, at about the time of divergence of the sharks and bony fish. The evolutionary line of the bony fish led to the reptiles and eventually to the mammals, all carrying genes for both  and  globins and capable of forming tetrameric 22 hemoglobins. Further gene duplications have occurred in the hemoglobin line, leading to the embryonic forms  and , the fetal form, , and the infant form  (Figure 7.22).

Conserved Amino Acid Sequences – During the long evolution of the myoglobin/hemoglobin family of proteins, only a few amino acid residues have remained invariant (Figure 7.11). They include the histidines proximal and distal to the heme iron (F8 and E7- see Figure 7.5b) and Val FG5, which has been implicated in the hemoglobin deoxy/oxy conformation change. These may mark the truly essential positions in the molecule. Other regions highly conserved in hemoglobins are those near the 1 – 2 and 2 – 1 contacts. These parts of the molecule are most directly involved in the allosteric conformational change.

 http://web.squ.edu.om/med-lib/med_cd/e_cds/Electronic%20Study%20Guide%20of%20Biochemistry/ch07/c07emhp.htm

Read Full Post »

More Complexity in Protein Evolution

Author and Curator: Larry H. Bernstein, MD, FCAP 

Lactate dehydrogenase like crystallin: a potentially protective shield for Indian spiny-tailed lizard (Uromastix ltardwickit) lens against environmental stress?
A Atta, A Ilyas, Z Hashim, A Ahmed and S Zarina
The Protein Journal 2014; 33(2), p. 128-34.
http://dx.doi.org/10.1007/s10930-014-9543-4

Taxon specific lens crystallins in ve1iebrates are either similar or identical with various metabolic enzymes. These bifunctional crystallins serve as structural protein in lens along with their catalytic role. In the present study, we have partially purified and characterized lens crystallin from Indian spiny-tailed lizard (Uroma stix hardwickii). We have found lactate dehydrogenase (LDH) activity in lens indicating presence of an enzyme crystallin with dual functions. Taxon specific lens crystallins are product of gene sharing or gene duplication phenomenon where a pre-existing enzyme is recruited as lens crystallin in addition to structural role. In lens, same gene adopts refractive role in lens without modification or loss of pre-existing function during gene sharing phenomenon. Apart from conventional role of structural protein, LDH activity containing crystallin in Uromastix hardwickii lens is likely to have adaptive characteristics to offer protection against toxic effects of oxidative stress and ultraviolet light, hence justifying its recruitment. Taxon specific crystallins may serve as good models to understand structure-function relationship of these proteins.

αB-Crystallin and 27-kd Heat Shock Protein Are Regulated by Stress Conditions in the Central Nervous System and Accumulate in Rosenthal Fibers
T Iwaki, A Iwaki, J Tateishi, Y Sakaki, and JE Goldmant
Ameri J Pathol  1993; 143(2):487-495.

To understand the significance of the accumulation of αB-crystallin in Rosenthal fibers within astrocytes, the expression and metabolism of αB-crystallin in glioma cell lines were examined under the conditions of heat and oxidative stress. αB-crystallin mRNA was increased after both stresses, and αB-crystallin protein moved from a detergent-soluble to a detergent-insoluble form. In addition, Western blotting of Alexander’s  disease brain homogenates revealed that the 27-kd heat shock protein (HSP27), which is related to αB-crystallin, accumulates along with αB-crystallin. The presence of HSP27 in Rosenthal fibers was directly demonstrated by immunohistochemistry. Our results suggest that astrocytes in Alexander’s disease may be involved in an as yet unknown kind of stress reaction that causes the accumulation of αB-ccystallin and HSP27 and results in Rosenthal fiber formation.

α-Crystallin can function as a molecular chaperone
Joseph Horwitz
Proc. Nadl. Acad. Sci. USA Nov 1992; 89: 10449-10453. Biochemistry

The α-crystallins (αA and αB) are major lens structural proteins of the vertebrate eye that are related to the small heat shock protein family. In addition, crystallins (especially αB) are found in many cells organs outside the lens, and aα is overexpressed in several neurological disorders and in cell lines under stress conditions. Here I show that α-crystallin can function as a molecular chaperone. Stoichiometric amounts of αA and αB suppress thermally induced aggregation of various enzymes. In particular, α-crystalln is very efficient in suppressing the thermally induced aggregation of β- and y-crystallins, the two other major mammalian stuctural lens proteins. α-Crystallin was also effective in preventing aggregation and in refolding guanidine hydrochloride-denatured y-crystallin, as judged by circular dichroism spectroscopy. My results thus indicate that α-crystallin refracts light and protects proteins from aggregation in the transparent eye lens and that in nonlens cells α-crystallin may have other functions in addition to its capacity to suppress aggregation of proteins.

Gene sharing by δ-crystallin and argininosuccinate Iyase
J Piatigorsky, WE O’Brient, BL Norman, K Kalumuckt, GJ Wistow, T Borras, et al.
Proc. Natl. Acad. Sci. USA  May 1988; 85: 3479-3483. Evolution.

The lens structural protein δ-crystallin and the metabolic enzyme argininosuccinate lyase (ASL; Largininosuccinate argine-lyase, EC 4.3.2.1) have striking sequence similarity. We have demonstrated that duck δ-crystallin has enormously high ASL activity, while chicken δ-crystallin has lower but significant activity. The lenses of these birds had much greater ASL activity than other tissues, suggesting that ASL is being expressed at unusually high levels as a structural component. In Southern blots of human genomic DNA, chicken δ1-crystallin cDNA hybridized only to the human ASL gene; moreover, the two chicken δ-crystallin genes accounted for all the sequences in the chicken genome able to cross-hybridize with a human ASL cDNA, with preferential hybridization to the δ2 gene. Correlations of enzymatic activity and recent data on mRNA levels in the chicken lens suggest that ASL activity depends on expression of the δ2-crystallin gene. The data indicate that the same gene, at least in ducks, encodes two different functions, an enzyme (ASL) and a structural protein (δ-crystallin), although in chickens specialization and separation of functions may have occurred.

Gecko i-crystallin: How cellular retinol-binding protein became an eye lens ultraviolet filter
PJ L Werten, Beate Roll, DMF van Aalten, and WW de Jong
PNAS Mar 2000; 97(7): 3282–3287 http://pnas.org/cgi/doi/10.1073ypnas.050500597

Eye lenses of various diurnal geckos contain up to 12% i-crystallin. This protein is related to cellular retinol-binding protein type I (CRBP I) but has 3,4-didehydroretinol, rather than retinol, as a ligand. The 3,4-didehydroretinol gives the lens a yellow color, thus protecting the retina by absorbing short-wave radiation. i-Crystallin could be either the gecko’s housekeeping CRBP I, recruited for an additional function in the lens, or the specialized product of a duplicated CRBP I gene. The finding of the same CRBP I-like sequence in lens and liver cDNA of the gecko Lygodactylus picturatus now supports the former option. Comparison with i-crystallin of a distantly related gecko, Gonatodes vittatus, and with mammalian CRBP I, suggests that acquiring the additional lens function is associated with increased amino acid changes. Compared with the rat CRBP I structure, the i-crystallin model shows reduced negative surface charge, which might facilitate the required tight protein packing in the lens. Other changes may provide increased stability, advantageous for a long-living lens protein, without frustrating its role as retinol transporter outside the lens. Despite a number of replacements in the ligand pocket, recombinant i-crystallin binds 3,4-didehydroretinol and retinol with similar and high affinity (1.6 nM). Availability of ligand thus determines whether it binds 3,4-didehydroretinol, as in the lens, or retinol, in other tissues. i-Crystallin presents a striking example of exploiting the potential of an existing gene without prior duplication.

Expression of βA3/A1-crystallin in the developing and adult rat eye
G Parthasarathy, Bo Ma, C Zhang, C Gongora, JS Zigler, MK Duncan, D Sinha
J Molec Histol 2011; 42(1): 59-69. http://dx.doi.org:/10.1007/s10735-010-9307-1

Crystallins are very abundant structural proteins of the lens and are also expressed in other tissues. We have previously reported a spontaneous mutation in the rat βA3/A1-crystallin gene, termed Nuc1, which has a novel, complex, ocular phenotype. The current study was undertaken to compare the expression pattern of this gene during eye development in wild type and Nuc1 rats by in situ hybridization (ISH) and immunohistochemistry (IHC).
βA3/A1-crystallin expression was first detected in the eyes of both wild type and Nuc1 rats at embryonic (E) day 12.5 in the posterior portion of the lens vesicle, and remained limited to the lens fibers throughout fetal life.
After birth, βA3/A1-crystallin expression was also detected in the neural retina (specifically in the astrocytes and ganglion cells) and in the retinal pigmented epithelium (RPE).
This suggested that βA3/A1-crystallin is not only a structural protein of the lens, but has cellular function(s) in other ocular tissues.
In summary, expression of βA3/A1-crystallin is controlled differentially in various eye tissues with lens being the site of greatest expression.
Similar staining patterns, detected by ISH and IHC, in wild type and Nuc1 animals suggest that functional differences in the protein, rather than changes in mRNA/protein level of expression likely account for developmental abnormalities in Nuc1.

βA3/A1Crystallin controls anoikis-mediated cell death in astrocytes by modulating PI3K/AKT/mTOR and ERK survival pathways through the PKD/Bit1-signaling axis
B Ma, T Sen, L Asnaghi, M Valapala, F Yang, S Hose, D S McLeod, Y Lu, et la.
Cell Death and Disease 2011; 2(10). http://dx.doi.org:/10.1038/cddis.2011.100

During eye development, apoptosis is vital to the maturation of highly specialized structures such as the lens and retina. Several forms of apoptosis have been described, including anoikis, a form of apoptosis triggered by inadequate or inappropriate cell–matrix contacts. The anoikis regulators, Bit1 (Bcl-2 inhibitor of transcription-1) and protein kinase-D (PKD), are expressed in developing lens when the organelles are present in lens fibers, but are downregulated as active denucleation is initiated.
We have previously shown that in rats with a spontaneous mutation in the Cryba1 gene, coding for βA3/A1-crystallin, normal denucleation of lens fibers is inhibited. In rats with this mutation (Nuc1), both Bit1 and PKD remain abnormally high in lens fiber cells. To determine whether βA3/A1-crystallin has a role in anoikis, we induced anoikis in vitro and conducted mechanistic studies on astrocytes, cells known to express βA3/A1-crystallin.
The expression pattern of Bit1 in retina correlates temporally with the development of astrocytes. Our data also indicate that loss of βA3/A1-crystallin in astrocytes results in a failure of Bit1 to be trafficked to the Golgi, thereby suppressing anoikis. This loss of βA3/A1-crystallin also induces insulin-like growth factor-II, which increases cell survival and growth by modulating the phosphatidylinositol-3-kinase (PI3K)/AKT/mTOR and extracellular signal-regulated kinase pathways. We propose that βA3/A1-crystallin is a novel regulator of both life and death decisions in ocular astrocytes.

βA3/A1-crystallin in astroglial cells regulates retinal vascular remodeling during development
D Sinha, A Klise, Y Sergeev, S Hose, IA Bhutto, L Hackler Jr., T Malpic-llanos, et al.
Molec Cell Neurosci 2008; 37(1): 85-95.

http://dx.doi.org:/10.1016/j.mcn.2007.08.016

Vascular remodeling is a complex process critical to development of the mature vascular system. Astrocytes are known to be indispensable for initial formation of the retinal vasculature; our studies with the Nuc1 rat provide novel evidence that these cells are also essential in the retinal vascular remodeling process.
Nuc1 is a spontaneous mutation in the Sprague–Dawley rat originally characterized by nuclear cataracts in the heterozygote and microphthalmia in the homozygote. We report here that the Nuc1 allele results from mutation of the βA3/A1-crystallin gene, which in the neural retina is expressed only in astrocytes. We demonstrate striking structural abnormalities in Nuc1 astrocytes with profound effects on the organization of intermediate filaments. While vessels form in the Nuc1 retina, the subsequent remodeling process required to provide a mature vascular network is deficient. Our data implicate βA3/A1-crystallin as an important regulatory factor mediating vascular patterning and remodeling in the retina.

A developmental defect in astrocytes inhibits programmed regression of the hyaloid vasculature in the mammalian eye
C Zhang, L Asnaghi, C Gongora, B Patek, S Hose, Bo Ma, MA Fard, L Brako, et al.
Eur J Cell Biol 2011; 90(5): 440-448.
http://dx.doi.org:/10.1016/j.ejcb.2011.01.003

Previously we reported the novel observation that astrocytes ensheath the persistent hyaloid artery, both in the Nuc1 spontaneous mutant rat, and in human PFV (persistent fetal vasculature) disease (Developmental Dynamics 234:36–47, 2005). We now show that astrocytes isolated from both the optic nerve and retina of Nuc1 rats migrate faster than wild type astrocytes. Aquaporin 4 (AQP4), the major water channel in astrocytes, has been shown to be important in astrocyte migration. We demonstrate that AQP4 expression is elevated in the astrocytes in PFV conditions, and we hypothesize that this causes the cells to migrate abnormally into the vitreous where they ensheath the hyaloid artery. This abnormal association of astrocytes with the hyaloid artery may impede the normal macrophage-mediated remodeling and regression of the hyaloid system.

βA3/A1-crystallin is required for proper astrocyte template formation and vascular remodeling in the retina.
D Sinha; WJ Stark; M Valapala; IA Bhutto; M Cano; S Hose; GA Lutty; et al.  Transgenic research 2012; 21(5):1033-42.

Nuc1 is a spontaneous rat mutant resulting from a mutation in the Cryba1 gene, coding for βA3/A1-crystallin. Our earlier studies with Nuc1 provided novel evidence that astrocytes, which express βA3/A1-crystallin, have a pivotal role in retinal remodeling. The role of astrocytes in the retina is only beginning to be explored. One of the limitations in the field is the lack of appropriate animal models to better investigate the function of astrocytes in retinal health and disease. We have now established transgenic mice that overexpress the Nuc1 mutant form of Cryba1, specifically in astrocytes. Astrocytes in wild type mice show normal compact stellate structure, producing a honeycomb-like network. In contrast, in transgenics over-expressing the mutant (Nuc1) Cryba1 in astrocytes, bundle-like structures with abnormal patterns and morphology were observed. In the nerve fiber layer of the transgenic mice, an additional layer of astrocytes adjacent to the vitreous is evident. This abnormal organization of astrocytes affects both the superficial and deep retinal vascular density and remodeling. Fluorescein angiography showed increased venous dilation and tortuosity of branches in the transgenic retina, as compared to wild type. Moreover, there appear to be fewer interactions between astrocytes and endothelial cells in the transgenic retina than in normal mouse retina. Further, astrocytes overexpressing the mutant βA3/A1-crystallin migrate into the vitreous, and ensheath the hyaloid artery, in a manner similar to that seen in the Nuc1 rat. Together, these data demonstrate that developmental abnormalities of astrocytes can affect the normal remodeling process of both fetal and retinal vessels of the eye and that βA3/A1-crystallin is essential for normal astrocyte function in the retina.

Ontogeny of oxytocin and vasopressin receptor binding in the lateral septum in prairie and montane voles
Z. Wang, L.J. Young
Developmental Brain Research 1997; 104:191–195.

Adult prairie (Microtus ochrogaster). and montane voles (M. montanus). differ in the distribution of oxytocin OT. and vasopressin AVP receptor binding in the brain. The present study examined the ontogenetic pattern of these receptor bindings in the lateral septum in both species to determine whether adult differences in the receptor binding are derived from a common pattern in development. In both species, OT and AVP receptor binding in the lateral septum were detected neonatally, increased during development, and reached the adult level at weaning third week. The progression of OT and AVP receptor differed, as OT receptor binding increased continually until weaning while AVP receptor binding did not change in the first week, increased rapidly in the second week, and was sustained thereafter. For both receptors, the binding increased more rapidly in montane than in prairie voles, resulting in species differences in receptor binding at weaning and in adulthood. Together, these data indicate that OT and AVP could affect the brain during development in a peptide- and species-specific manner in voles.

Evolution of the vasopressin/oxytocin superfamily: Characterization of a cDNA encoding a vasopressin-related precursor, preproconopressin, from the mollusc Lymnaea stagnalis
RE Van Kesteren, AB Smit, RW Dirksi, ND De With, WPM Geraerts, and J Joosse
Proc. Nadl. Acad. Sci. USA May 1992; 89: 4593-4597. Neurobiology

Although the nonapeptide hormones vasopressin, oxytocin, and related peptides from vertebrates and some nonapeptides from invertebrates share similarities in amino acid sequence, their evolutionary relationships are not dear. To investigate this issue, we doned a cDNA encoding a vasopressin-related peptide, Lys-conopressin, produced in the central nervous system of the gastropod mollusc Lymnaea stagnalis. The predicted preproconopressin has the overall architecture of vertebrate preprovasopressins, with a signal peptide, Lys-conopressin, that is flanked at the C terminus by an amidation signal and a pair of basic residues, followed by a neurophysin domain. The Lymnaea neurophysin and the vertebrate neurophysins share high sequence identity, which includes the conservation of all 14 cysteine residues. In addition, the Lymnaea neurophysin possesses unique structural characteristics. It contains a putative N-linked glycosylation site at a position in the vertebrate neurophysins where a strictly conserved tyrosine residue, which plays an essential role in binding of the nonapptide hormones, is found. The C-terminal copeptin homologous extension of the Lymnaea neurophysin has low sequence identity with the vertebrate counterparts and is probably not cleaved from the prohormone, as are the mammalin copeptins. The conopressin gene is expressed in only a few neurons in both pedal ganglia of the central nervous system. The conopressin transcript is present in two sizes, due to alternative use of polyadenylylation signals. The data presented here demonstrate that the typical organization of the prohormones of the vasopressin/oxytocin superfamily must have been present in the common ancestors of vertebrates and invertebrates.

A common allele in the oxytocin receptor gene (OXTR) impacts prosocial temperament and human hypothalamic-limbic structure and function
H Tosta, B Kolachanaa, S Hakimia, H Lemaitrea, BA Verchinskia, et al.
PNAS Aug 3, 2010; 107(31): 13936–13941
http://pnas.org/cgi/doi/10.1073/pnas.1003296107

The evolutionarily highly conserved neuropeptide oxytocin is a key mediator of social and emotional behavior in mammals, including humans. A common variant (rs53576) in the oxytocin receptor gene (OXTR) has been implicated in social-behavioral phenotypes, such as maternal sensitivity and empathy, and with neuropsychiatric disorders associated with social impairment, but the intermediate neural mechanisms are unknown. Here, we used multimodal neuroimaging in a large sample of healthy human subjects to identify structural and functional alterations in OXTR risk allele carriers and their link to temperament. Activation and interregional coupling of the amygdala during the processing of emotionally salient social cues was significantly affected by genotype. In addition, evidence for structural alterations in key oxytocinergic regions emerged, particularly in the hypothalamus. These neural characteristics predicted lower levels of reward dependence, specifically in male risk allele carriers. Our findings identify sex-dependent mechanisms impacting the structure and function of hypothalamic-limbic circuits that are of potential clinical and translational significance.
Test of Association Between 10 SNPs in the Oxytocin Receptor Gene and Conduct Disorder
JT Sakai, TJ Crowley, MC Stallings, M McQueen, JK Hewitt, C Hopfer, et al.
Psychiatr Genet. 2012 Apr; 22(2): 99–102. http://dx.doi.org:/10.1097/YPG.0b013e32834c0cb2

Animal and human studies have implicated oxytocin (OXT) in affiliative and prosocial behaviors. We tested whether genetic variation in the OXT receptor (OXTR) gene is associated with conduct disorder (CD).
Utilizing a family-based sample of adolescent probands recruited from an adolescent substance abuse treatment program, control probands and their families (total sample n=1,750), we conducted three tests of association with CD and 10 SNPs (single nucleotide polymorphisms) in the OXTR gene: (1) family-based comparison utilizing the entire sample; (2) within-Whites, case control comparison of adolescent patients with CD and controls without CD; and (3) within-Whites case-control comparison of parents of patients and parents of controls.
Family-based association tests failed to show significant results (no results p<0.05). While strictly correcting for the number of tests (α=0.002), adolescent patients with CD did not differ significantly from adolescent controls in genotype frequency for the OXTR SNPs tested; similarly, comparison of OXTR genotype frequencies for parents failed to differentiate patient and control family type, except a trend association for rs237889 (p=0.004). In this sample, 10 SNPs in the OXTR gene were not significantly associated with CD.

Leu55Pro transthyretin accelerates subunit exchange and leads to rapid formation of hybrid tetramers
CA Keetch, EHC Bromley, MG McCammon, N Wang, J Christodoulou, CV Robinson
JBC  Oct 11, 2005 M508753200. http://jbc.org/cgi/doi/10.1074/jbc.M508753200

Transthyretin is a tetrameric protein associated with the commonest form of

systemic amyloid disease. Using isotopically labeled proteins and mass spectrometry we compared subunit exchange in wild-type transthyretin with that of the variant associated with the most aggressive form of the disease, Leu55Pro. Wild-type subunit exchange occurs via both monomers and dimers , while exchange via dimers is the dominant mechanism for the Leu55Pro variant. Since patients with the Leu55Pro mutation are heterozygous, expressing both proteins simultaneously, we also analyzed the subunit exchange reaction between wild-type and Leu55Pro tetramers . We found that hybrid tetramers containing two or three Leu55Pro subunits dominate in the early stages of the reaction. Surprisingly we also found that in the presence of Leu55Pro transthyretin, the rate of dissociation of wild-type transthyretin is increased. This implies interactions between the two proteins that accelerate the formation of hybrid tetramers, a result with important implications for transthyretin amyloidos is.

Beyond Genetic Factors in Familial Amyloidotic Polyneuropathy: Protein Glycation and the Loss of Fibrinogen’s Chaperone Activity
G da Costa, RA Gomes, A Guerreiro, E Mateus, E Monteiro, et al.
PLoS ONE 2011; 6(10): e24850. http://dx.doi.org:/10.1371/journal.pone.0024850

Familial amyloidotic polyneuropathy (FAP) is a systemic conformational disease characterized by extracellular amyloid fibril formation from plasma transthyretin (TTR). This is a crippling, fatal disease for which liver transplantation is the only effective therapy. More than 80 TTR point mutations are associated with amyloidotic diseases and the most widely accepted disease model relates TTR tetramer instability with TTR point mutations. However, this model fails to explain two observations. First, native TTR also forms amyloid in systemic senile amyloidosis, a geriatric disease. Second, age at disease onset varies by decades for patients bearing the same mutation and some mutation carrier individuals are asymptomatic throughout their lives. Hence, mutations only accelerate the process and non-genetic factors must play a key role in the molecular mechanisms of disease. One of these factors is protein glycation, previously associated with conformational diseases like Alzheimer’s and Parkinson’s. The glycation hypothesis in FAP is supported by our previous discovery of methylglyoxal-derived glycation of amyloid fibrils in FAP patients. Here we show that plasma proteins are differentially glycated by methylglyoxal in FAP patients and that fibrinogen is the main glycation target. Moreover, we also found that fibrinogen interacts with TTR in plasma. Fibrinogen has chaperone activity which is compromised upon glycation by methylglyoxal. Hence, we propose that methylglyoxal glycation hampers the chaperone activity of fibrinogen, rendering TTR more prone to aggregation, amyloid formation and ultimately, disease.

Aromatic Sulfonyl Fluorides Covalently Kinetically Stabilize Transthyretin to Prevent Amyloidogenesis while Affording a Fluorescent Conjugate
NP Grimster, S Connelly, A Baranczak, J Dong, …, JW Kelly
J Am Chem Soc. 2013 Apr 17; 135(15): 5656–5668. http://dx.doi.org:/10.1021/ja311729d

Molecules that bind selectively to a given protein and then undergo a rapid chemoselective reaction to form a covalent conjugate have utility in drug development. Herein a library of 1,3,4-oxadiazoles substituted at the 2 position with an aryl sulfonyl fluoride and at the 5 position with a substituted aryl known to have high affinity for the inner thyroxine binding subsite of transthyretin (TTR) were conceived of by structure-based design principles and were chemically synthesized. When bound in the thyroxine binding site, most of the aryl sulfonyl fluorides react rapidly and chemoselectively with the pKa-perturbed K15 residue, kinetically stabilizing TTR and thus preventing amyloid fibril formation, known to cause polyneuropathy. Conjugation t50s range from 1 to 4 min, ~ 1400 times faster than the hydrolysis reaction outside the thyroxine binding site. Xray crystallography confirms the anticipated binding orientation and sheds light on the sulfonyl fluoride activation leading to the sulfonamide linkage to TTR. A few of the aryl sulfonyl fluorides efficiently form conjugates with TTR in plasma. A few of the TTR covalent kinetic stabilizers synthesized exhibit fluorescence upon conjugation and therefore could have imaging applications as a consequence of the environment sensitive fluorescence of the chromophore.

Identification of S-sulfonation and S-thiolation of a novel transthyretin Phe33Cys variant from a patient diagnosed with familial transthyretin amyloidosis
A Lim, T Prokaeva, ME Mccomb, LH Connors, M Skinner, and CE Costello
Protein Science 2003; 12:1775–1786.
http://proteinscience.org/cgi/doi/10.1110/ps.0349703.

Familial transthyretin amyloidosis (ATTR) is an autosomal dominant disorder associated with a variant form of the plasma carrier protein transthyretin (TTR). Amyloid fibrils consisting of variant TTR, wild-type TTR, and TTR fragments deposit in tissues and organs. The diagnosis of ATTR relies on the identification of pathologic TTR variants in plasma of symptomatic individuals who have biopsy proven amyloid disease. Previously, we have developed a mass spectrometry-based approach, in combination with direct DNA sequence analysis, to fully identify TTR variants. Our methodology uses immunoprecipitation to isolate TTR from serum, and electrospray ionization and matrix-assisted laser desorption/ionization mass spectrometry (MS) peptide mapping to identify TTR variants and posttranslational modifications. Unambiguous identification of the amino acid substitution is performed using tandem MS (MS/MS) analysis and confirmed by direct DNA sequence analysis. The MS and MS/MS analyses also yield information about posttranslational modifications. Using this approach, we have recently identified a novel pathologic TTR variant. This variant has an amino acid substitution (Phe — Cys) at position 33. In addition, like the Cys10 present in the wild type and in this variant, the Cys33 residue was both S-sulfonated and S-thiolated (conjugated to cysteine, cysteinylglycine, and glutathione). These adducts may play a role in the TTR fibrillogenesis.

Evolutionary relationships of lactate dehydrogenases (LDHs) from mammals, birds, an amphibian, fish, barley, and bacteria: LDH cDNA sequences from Xenopus, pig, and rat
S Tsuji, MA Qureshi, EW Hou, WM Fitch, and S S.-L. Li
Proc. Natl. Acad. Sci. USA Sep 1994; 91: 9392-9396. Evolution

The nucleotide sequences of the cDNAs encoding LDH (EC 1.1.1.27) subunits LDH-A (muscle), LDH-B (liver), and LDH-C (oocyte) from Xenopus laevis, LDH-A (muscle) and LDH-B (heart) from pig, and LDH-B (heart) and LDH-C (testis) from rat were determined. These seven newly deduced amino acid sequences and 22 other published LDH sequences, and three unpublished fish LDH-A sequences kindly provided by G. N. Somero and D. A. Powers, were used to construct the most parsimonious phylogenetic tree of these 32 LDH subunits from mammals, birds, an amphibian, fish, barley, and bacteria. There have been at least six LDH gene duplications among the vertebrates. The Xenopus LDH-A, LDH-B, and LDH-C subunits are most closely related to each other and then are more closely related to vertebrate LDH-B than LDH-A. Three fish LDH-As, as well as a single LDH of lamprey, also seem to be more related to vertebrate LDH-B than to land vertebrate LDH-A. The mammalian LDH-C (testis) subunit appears to have diverged very early, prior to the divergence of vertebrate LDH-A and LDH-B subunits, as reported previously.

Evidence for neutral and selective processes in the recruitment of enzyme-crystallins in avian lenses
Graeme Wistow, Andrea Anderson, and Joram Piatigorsky
Proc. Natl. Acad. Sci. USA Aug 1990; 87: 6277-6280, Evolution

In apparent contrast to most other tissues, the ocular lenses in vertebrates show striking differences in protein composition between taxa, most notably in the recruitment of different enzymes as major structural proteins. This variability appears to be the result of at least partially neutral evolutionary processes, although there is also evidence for selective modification in molecular structure. Here we describe a bird, the chimney swift (Chaetura pelagica), that lacks δ-crystallin/ argininosuccinate lyase, usually the major crystallin of avian lenses. Clearly, δ-crystallin is not specifically required for a functionally effective avian lens. Furthermore the lens composition of the swift is more similar to that of the related hummingbirds than to that of the barn swallow (Hirundo rustica), suggesting that phylogeny is more important than environmental selection in the recruitment of crystallins. However differences in ε-crystallin/lactate dehydrogenase-B sequence between swift and hummingbird and other avian and reptilian species suggest that selective pressures may also be working at the molecular level. These differences also confirm the close relationship between swifts and hummingbirds.

Enzyme/crystallins and extremely high pyridine nucleotide levels in the eye lens.
Zigler, J. S., Jr.; Rao, P. V.
FASEB J. 1991; 3: 223-225.

Taxon-specific crystallins are proteins present in high abundance in the lens of phylogenetically restricted groups of animals. Recently it has been found that these proteins are actually enzymes which the lens has apparently adopted to serve as structural proteins. Most of these proteins have been shown to be identical to, or related to, oxidoreductases. In guinea pig lens, which contains zeta-crystallin, a protein with an NADPH dependent oxidoreductase activity, the levels of both NADPH and NADP* are extremely high and correlate with the concentration of zeta-crystallin. We report here nucleotide assays on lenses from vertebrates containing other enzyme/crystallins. In each case where the enzyme/crystallin is a pyridine nucleotide-binding protein the level of that particular nucleotide is extremely high in the lens. The presence of an enzyme/crystallin does not affect the lenticular concentrations of those nucleotides which are not specifically bound. The possibility that nucleotide binding may be a factor in the selection of some enzymes to serve as enzyme/crystallins is considered.

Comparison of stability properties of lactate dehydrogenase B4/ε-crystallin from different species
CEM Voorter, LTM Wintjes, PWH Heinstra, H Bloemendal and WW De Jong
Eur. J. Biochem. 1993; 211: 643-648

ε-Crystallin occurs as an abundant lens protein in many birds and in crocodiles and has been identified as heart-type lactate dehydrogenase (LDH-B4). Lens proteins have, due to their longevity and environmental conditions, extraordinary requirements for structural stability. To study lens protein stability, we compared various parameters of LDH-B4/ε-crystallin from lens and/or heart of duck, which has abundant amounts of this enzyme in its lenses, and of chicken and pig, which have no λ-crystallin. Measuring the thermostability of LDH-B4 from the different sources, the t50 values (temperature at which 50% of the enzyme activity remains after a 20-min period) for LDH-B4 from duck heart, duck lens and chicken heart were all found to be around 76°C whereas pig heart LDHB4 was less thermostable, having a t50 value of 625°C. A similar tendency was found with urea inactivation studies. Plotting the first-order rate constants obtained from inactivation kinetic plots against urea concentration, it was clear that LDH-B4 from pig heart was less stable in urea than the homologous enzymes from duck heart, chicken heart and duck lens. The duck and chicken enzymes were also much more resistant against proteolysis than the porcine enzyme. Therefore, it is concluded that avian LDH-B4 is structurally more stable than the homologous enzyme in mammals. This greater stability might make it suitable to function as a ε-crystallin, as in duck, but is not necessarily associated with high lens expression, as in chicken.

Duck lens ε-crystallin and lactate dehydrogenase B4 are identical: A single-copy gene product with two distinct functions
W Hendriks, JWM Mulders, MA Bibby, C Slingsby, H Bloemendal, and WW De Jong
Proc. Natl. Acad. Sci. USA Oct 1988; 85: 7114-7118. Biochemistry

To investigate whether or not duck lens ε-crystaliin and duck heart lactate dehydrogenase (LDH) B4 are the product of the same gene, we have isolated and sequenced cDNA clones of duck ε-crystallin. By using these clones we demonstrate that there is a single-copy Ldh-B gene in duck and in chicken. In the duck lens this gene is overexpressed, and its product is subject to posttranslational modification. Reconstruction of the evolutionary history of the LDH protein family reveals that the mammalian Ldh-C gene most probably originated from an ancestral Ldh-A gene and that the amino acid replacement rate in LDH-C is approximately 4 times the rate in LDH-A. Molecular modeling of LDH-B sequences shows that the increased thermostability of the avian tetramer might be explained by mutations that increase the number of ion pairs. Furthermore, the replacement of bulky side chains by glycines on the corners of the duck protein suggests an adaptation to facilitate close packing in the lens.

Lactate Dehydrogenase A as a Highly Abundant Eye Lens Protein in Platypus (Ornithorhynchus anatinus): Upsilon (υ)-Crystallin
T van Rheede,  R Amons, N Stewart, and WW de Jong
Mol. Biol. Evol. 2003; 20(06):994–998. http://dx.doi.org:/10.1093/molbev/msg116

Vertebrate eye lenses mostly contain two abundant types of proteins, the α-crystallins and the β/λ-crystallins. In addition, certain housekeeping enzymes are highly expressed as crystallins in various taxa. We now observed an unusual approximately 41-kd protein that makes up 16% to 18% of the total protein in the platypus eye lens. Its cDNA sequence was determined, which identified the protein as muscle-type lactate dehydrogenase A (LDH-A). It is the first observation of LDH-A as a crystallin, and we designate it upsilon (υ)-crystallin. Interestingly, the related heart-type LDH-B occurs as an abundant lens protein, known as ε-crystallin, in many birds and crocodiles. Thus, two members of the ldh gene family have independently been recruited as crystallins in different higher vertebrate lineages, suggesting that they are particularly suited for this purpose in terms of gene regulatory or protein structural properties. To establish whether platypus LDH-A/υ-crystallin has been under different selective constraints as compared with other vertebrate LDH-A sequences, we reconstructed the vertebrate Ldh-A gene phylogeny. No conspicuous rate deviations or amino acid replacements were observed.

Isozymes, moonlighting proteins and promiscous enzymes
M Nath Gupta, M Kapoor, AB Majumder and V Singh
Current Science Apr 2011; 100(8): 1152-1162.

The structures of isoenzymes differ and yet these catalyse the same type of reaction. These structures evolved to suit the physiological needs and are located in different parts of cells or tissues. Moonlighting proteins represent the same structure performing very different biological functions. Biological promiscuity reveals that the same active sites can catalyse different types of reactions. These three different phenomena, all illustrate similar evolutionary strategies. Viewed together, it emerges that biologists need to take a hard look at the ‘structure–function’ paradigm as well as the notions of biological specificity. Meanwhile, biotechnologists  continue to exploit the opportunities which ‘nonspecificity’ offers.

Read Full Post »

Larry H Bernstein, MD, Reporter

Leaders in Pharmaceutical Intelligence

Lasker~Koshland
Special Achievement Award in Medical Science

Award Description

Mary-Claire King
For bold, imaginative, and diverse contributions to medical science and human rights — she discovered the BRCA1 gene locus that causes hereditary breast cancer and deployed DNA strategies that reunite missing persons or their remains with their families.

The 2014 Lasker~Koshland Award for Special Achievement in Medical Science honors a scientist who has made bold, imaginative, and diverse contributions to medical science and human rights. Mary-Claire King(University of Washington, Seattle) discovered the BRCA1 gene locus that causes hereditary breast cancer and deployed DNA strategies that reunite missing persons or their remains with their families. Her work has touched families around the world.

As a statistics graduate student in the late 1960s, King took the late Curt Stern’s genetics course just for fun. The puzzles she encountered there—problems posed by Stern—enchanted her. She was delighted to learn that people could be paid to solve such problems, and that mathematics holds their key. She decided to study genetics and never looked back.

During her Ph.D. work with the late Allan Wilson (University of California, Berkeley), King discovered that the sequences of human and chimpanzee proteins are, on average, more than 99 percent identical; DNA sequences that do not code for proteins differ only a little more. The two primates therefore are much closer cousins than suggested by fossil studies of the time. The genetic resemblance seemed to contradict obvious distinctions: Human brains outsize those of chimps; their limbs dwarf ours; and modes of communication, food gathering, and other lifestyle features diverge dramatically. King and Wilson proposed that these contrasts arise not from disparities in DNA sequences that encode proteins, but from a small number of differences in DNA sequences that turn the protein-coding genes on and off.

Just as genetic changes drive species in new directions, they also can propel cells toward malignancy. From an evolutionary perspective, the topic of breast cancer began to intrigue King. The illness runs in families and is clearly inherited, yet many affected women have no close relatives with the disease. It is especially deadly for women whose mothers succumbed to it—and risk increases for those who have a mother or sister with breast cancer, particularly if the cancer struck bilaterally or before menopause. Unlike the situation with lung cancer, no environmental exposure distinguishes sisters who get breast cancer from those who remain disease free.

By studying a rare familial cancer, Alfred Knudsen (Lasker Clinical Medical Research Award, 1998) had shown in the early 1970’s how an inherited genetic defect could increase vulnerability to cancer. In the model he advanced, some families harbor a damaged version of a gene that normally encourages proper cellular behavior. Genetic mishaps occur during a person’s lifetime, and a second “hit” in a cell with the first physiological liability nudges the injured cell toward malignancy. A similar story might play out in families with a high incidence of breast cancer, King reasoned. She began to hunt for the theoretical pernicious gene in 1974.

2014_illustration_special
The hunt
Many geneticists doubted that susceptibility to breast cancer would map to a single gene; even if it did, finding the culprit seemed unlikely for numerous reasons. First, most cases are not familial and the disease is common—so common that inherited and non-inherited cases could occur in the same families. Furthermore, the malady might not strike all women who carry a high-risk gene, and different families might carry different high-risk genes. Prevailing views held that the ailment arises from the additive effects of multiple undefined genetic and environmental insults and from complicated interactions among them. No one had previously tacked such complexities, and an attempt to unearth a breast cancer gene seemed woefully naïve.

To test whether she could find evidence that particular genes increase the odds of getting breast cancer, King applied mathematical methods to data from more than 1500 families of women younger than 55 years old with newly diagnosed breast cancer. The analysis, published in 1988, suggested that four percent of the families carry a single gene that predisposes individuals to the illness.

The most convincing way to validate this idea was to track down the gene. Toward this end, King analyzed DNA from 329 participating relatives with 146 cases of invasive breast cancer. In many of the 23 families to which the participants belonged, the scourge struck young women, often in both breasts, and in some families, even men.

In late 1990, King (by then a professor at the University of California, Berkeley) hit her quarry. She had zeroed in on a suspicious section of chromosome 17 that carried particular genetic markers in women with breast cancer in the most severely affected families. Somewhere in that stretch of DNA lay the gene, which she named BRCA1.

This discovery spurred an international race to find the gene. Four years later, scientists at Myriad Genetics, Inc. isolated it. Alterations in either BRCA1 or a second breast-cancer susceptibility gene, BRCA2, found by Michael Stratton and colleagues (Institute of Cancer Research, UK) increase risk of ovarian as well as breast cancer. The proteins encoded by these genes help maintain cellular health by repairing marred DNA. When theBRCA1 or BRCA2 proteins fail to perform their jobs, genetic integrity is compromised, thus setting the stage for cancer.

About 12 percent of women in the general population get breast cancer at some point in their lives. In contrast, 65 percent of women who inherit an abnormal version of BRCA1 and about 45 percent of women who inherit an abnormal version of BRCA2 develop breast cancer by the time they are 70 years old. Individuals with troublesome forms of BRCA1 and BRCA2 can now be identified, monitored, counseled, and treated appropriately.

Harmful versions of other genes also predispose women to breast cancer, ovarian cancer, or both. Several years ago, King devised a scheme to screen for all of these genetic miscreants. This strategy allows genetic testing and risk determination for breast and ovarian cancer; it is already in clinical practice.

Genetic tools, human rights
King has applied her expertise to aid people who suffer from ills perpetrated by humans as well as genes. She helped find the “lost children” of Argentina—those who had been kidnapped as infants or born while their mothers were in prison during the military regime of the late 1970s and early 1980s. Some of these youngsters had been illegally adopted, many by military families. In 1983, King began identifying individuals, first with a technique that was originally designed to match potential organ transplant donors and recipients. She then developed an approach that relies on analysis of DNA from mitochondria—a cellular component that passes specifically from mother to child, and is powerful for connecting people to their female forebears. King helped prove genetic relationships and thus facilitated the reunion of more than 100 of the children with their families.

Later, the Argentinian government asked if she could help identify dead bodies of individuals thought to have been murdered. King harnessed the same method to figure out who had been buried in mass graves. She established that teeth, whose enamel coating protects DNA in the dental pulp from degradation, offer a valuable resource when attempting to trace remains in situations where long periods have elapsed since the time of death.

This and related approaches have been used to identify soldiers who went missing in action, including the remains of an American serviceman who was buried beneath the Tomb of the Unknowns in Arlington National Cemetery for 14 years, as well as victims of natural disasters and man-made tragedies such as 9/11.

Mary-Claire King has employed her intellect, dedication, and ethical sensibilities to generate knowledge that has catalyzed profound changes in health care, and she has applied her expertise to promote justice where nefarious governments have terrorized their citizens.

by Evelyn Strauss

Read Full Post »

Biochemical Insights of Dr. Jose Eduardo de Salles Roselino

Larry H. Bernstein, MD, FCAP, Interviewer, Curator

Leaders in Pharmaceutical Intelligence

Biochemical Insights of Dr. Jose Eduardo de Salles Roselino

http://pharmaceuticalintelligence.com/12/24/2014/larryhbern/Biochemical_
Insights_of_Dr._Jose_Eduardo_de_Salles_Roselino/

Article ID #165: Biochemical Insights of Dr. Jose Eduardo de Salles Roselino. Published on 12/17/2014

WordCloud Image Produced by Adam Tubman

Biochemical Insights of Dr. Jose Eduardo de Salles Roselino

How is it that developments late in the 20th century diverted the attention of
biological processes from a dynamic construct involving interacting chemical
reactions under rapidly changing external conditions effecting tissues and cell
function to a rigid construct that is determined unilaterally by the genome
construct, diverting attention from mechanisms essential for seeing the complete
cellular construct?

Larry, I assume that in case you read the article titled Neo – Darwinism, The
Modern Synthesis and Selfish Genes that bares no relationship with Physiology
with Molecular Biology J. Physiol 2011; 589(5): 1007-11 by Denis Noble, you might
find that it was the key factor required in order to understand the dislodgment
of physiology as a foundation of medical reasoning. In the near unilateral emphasis
of genomic activity as a determinant of cellular activity all of the required general
support for the understanding of my reasoning. The DNA to protein link goes
from triplet sequence to amino acid sequence. That is the realm of genetics.
Further, protein conformation, activity and function requires that environmental
and micro-environmental factors should be considered (Biochemistry). If that
were not the case, we have no way to bridge the gap between the genetic
code and the evolution of cells, tissues, organs, and organisms.

  • Consider this example of hormonal function. I would like to stress in
    the cAMP dependent hormonal response, the transfer of information
    that 
    occurs through conformation changes after protein interactions.
    This mechanism therefore, requires that proteins must not have their
    conformation determined by sequence alone.
    Regulatory protein conformation is determined by its sequence plus
    the interaction it has in its micro-environment. For instance, if your
    scheme takes into account what happens inside the membrane and
    that occurs before cAMP, then production is increased by hormone
    action. A dynamic scheme  will show an effect initially, over hormone
    receptor (hormone binding causing change in its conformation) followed
    by GTPase change in conformation caused by receptor interaction and
    finally, Adenylate cyclase change in conformation and in activity after
    GTPase protein binding in a complex system that is dependent on self-
    assembly and also, on changes in their conformation in response to
    hormonal signals (see R. A Kahn and A. G Gilman 1984 J. Biol. Chem.
    v. 259,n 10 pp6235-6240. In this case, trimeric or dimeric G does not
    matter). Furthermore, after the step of cAMP increased production we
    also can see changes in protein conformation.  The effect of increased
    cAMP levels over (inhibitor protein and protein kinase protein complex)
    also is an effect upon protein conformation. Increased cAMP levels led
    to the separation of inhibitor protein (R ) from cAMP dependent protein
    kinase (C ) causing removal of the inhibitor R and the increase in C activity.
    R stands for regulatory subunit and C for catalytic subunit of the protein
    complex.
  • This cAMP effect over the quaternary structure of the enzyme complex
    (C protein kinase + R the inhibitor) may be better understood as an
    environmental information producing an effect in opposition to
    what may be considered as a tendency  towards a conformation
    “determined” by the genetic code. This “ideal” conformation
    “determined” by the genome  would be only seen in crystalline
    protein.
     In carbohydrate metabolism in the liver the hormonal signal
    causes a biochemical regulatory response that preserves homeostatic
    levels of glucose (one function) and in the muscle, it is a biochemical
    regulatory response that preserves intracellular levels of ATP (another
    function).
  • Therefore, sequence alone does not explain conformation, activity
    and function of regulatory proteins
    .  If this important regulatory
    mechanism was  not ignored, the work of  S. Prusiner (Prion diseases
    and the BSE crisis Stanley B. Prusiner 1997 Science; 278: 245 – 251,
    10  October) would be easily understood.  We would be accustomed
    to reason about changes in protein conformation caused by protein
    interaction with other proteins, lipids, small molecules and even ions.
  • In case this wrong biochemical reasoning is used in microorganisms.
    Still it is wrong but, it will cause a minor error most of the time, since
    we may reduce almost all activity of microorganism´s proteins to a
    single function – The production of another microorganism. However,
    even microorganisms respond differently to their micro-environment
    despite a single genome (See M. Rouxii dimorphic fungus works,
    later). The reason for the reasoning error is, proteins are proteins
    and DNA are DNA quite different in chemical terms. Proteins must
    change their conformation to allow for fast regulatory responses and
    DNA must preserve its sequence to allow for genetic inheritance.

Read Full Post »

The History of Hematology and Related Sciences

Curator: Larry H. Bernstein, MD, FCAP

 

The History of Hematology and Related Sciences: A Historical Review of Hematological Diagnosis from 1880 -1980

 

Blood Description: The Analysis of Blood Elements a Window into Diseases

Diagnosing bacterial infection (BI) remains a challenge for the attending physician. An ex vivo infection model based on human fixed polymorphonuclear neutrophils (PMNs) gives an autofluorescence signal that differs significantly between stimulated and unstimulated cells. We took advantage of this property for use in an in vivo pneumonia mouse model and in patients hospitalized with bacterial pneumonia. A 2-fold decrease was observed in autofluorescence intensity for cytospined PMNs from broncho-alveolar lavage (BAL) in the pneumonia mouse model and a 2.7-fold decrease was observed in patients with pneumonia when compared with control mice or patients without pneumonia, respectively. This optical method provided an autofluorescence mean intensity cut-off, allowing for easy diagnosis of BI. Originally set up on a confocal microscope, the assay was also effective using a standard epifluorescence microscope. Assessing the autofluorescence of PMNs provides a fast, simple, cheap and reliable method optimizing the efficiency and the time needed for early diagnosis of severe infections. Rationalized therapeutic decisions supported by the results from this method can improve the outcome of patients suspected of having an infection.

Monsel A, Le´cart S, Roquilly A, Broquet A, Jacqueline C, et al. (2014) Analysis of Autofluorescence in Polymorphonuclear Neutrophils: A New Tool for Early Infection Diagnosis. PLoS ONE 9(3): e92564.
http://dx.doi.org:/10.1371/journal.pone.0092564

This study was designed to validate or refute the reliability of total lymphocyte count (TLC) and other hematological parameters as a substitute for CD4 cell counts. Participants consisted of two groups, including 416 antiretroviral naive (G1) and 328 antiretroviral experienced (G2) patients. CD4+ T cell counts were performed using a Cyflow machine. Hematological parameters were analyzed using a hematology analyzer. The median ± SEM CD4 count (range) of participants in G1 was 199 ± 10.9 (5–1840 cells/μL) and the median ± SEM TLC (range) was 1. 61 ± 0.05 (0.07–6.63 × 103/μL). The corresponding values among G2 were 421 ± 15.8 (13–1801) and 2.13 ± 0.04 (0.06–5.58), respectively. Using a threshold value of 1.2 × 103/μL for TLC alone, the sensitivity of G1 was 88.4% (specificity (SP) 67.4%, the positive predictive value (PPV) 53.5% and negative predictive value (NPV) of 93.2% for CD4 , 200 cells/μL, the sensitivity for G2 was 83.3%, SP 85.3%, PPV 23.8%, and NPV of 93.2%. Using multiple parameters, including TLC , 1.2 × 103/μL, hemoglobin , 10 g/dL, and platelets , 150 × 103/L, the sensitivity increased to 96.0% (SP, 82.7%; PPV, 80%; NPV, 96.7%) among G1, while no change was observed in the G2 cohort. TLC , 1.2 × 103/μL alone is an insensitive predictor of CD4 count of , 200 cells/μL. Incorporating hemoglobin , 10 g/dL, and platelets , 150 × 103/L enhances the ability of TLC , 1.2 × 103/μL to predict CD4 count , 200 cells/μL among the antiretroviral-naïve cohort. We recommend the use of multiple, inexpensively measured hematological parameters in the form of an algorithm for predicting CD4 count level.

Evaluating Total Lymphocyte Counts and Other Hematological Parameters as a Substitute for CD4 Counts in the Management of HIV Patients in Northeastern Nigeria. BA Denue, AU Abja, IM Kida, AH Gabdo, AA Bukar and CB Akawu.
Retrovirology: Research and Treatment 2013:5 9–16 http://dx.doi.org:/10.4137/RRT.S11562

Sepsis is a syndrome that results in high morbidity and mortality. We investigated the delta neutrophil index (DN) as a predictive marker of early mortality in patients with gram-negative bacteremia. Retrospective study. The DN was measured at onset of bacteremia and 24 hours and 72 hours later. The DN was calculated using an automatic hematology analyzer. Factors associated with 10-day mortality were assessed using logistic regression. A total of 172 patients with gram-negative bacteremia were included in the analysis; of these, 17 patients died within 10 days of bacteremia onset. In multivariate analysis, Sequental organ failure assessment scores (odds ratio [OR]: 2.24, 95% confidence interval [CI]: 1.31 to 3.84; P = 0.003), DN-day 1 ≥ 7.6% (OR: 305.18, 95% CI: 1.73 to 53983.52; P = 0.030) and DN-day 3 ≥ DN day 1 (OR: 77.77, 95% CI: 1.90 to 3188.05; P = 0.022) were independent factors associated with early mortality in gram-negative bacteremia. Of four multivariate models developed and tested using various factors, the model using both DN-day 1 ≥ 7.6% and DN-day 3 ≥ DN-day 1 was most predictive early mortality. DN may be a useful marker of early mortality in patients with gram-negative bacteremia. We found both DN-day 1 and DN trend to be significantly associated with early mortality.

Delta Neutrophil Index as a Prognostic Marker of Early Mortality in Gram Negative Bacteremia. HW Kim, JH Yoon, SJ Jin, SB Kim, NS Ku, SJ Jeong,
et al. Infect Chemother 2014;46(2):94-102. pISSN 2093-2340·eISSN 2092-6448
http://dx.doi.org/10.3947/ic.2014.46.2.94
Various indices derived from red blood cell (RBC) parameters have been described for distinguishing thalassemia and iron deficiency. We studied the microcytic to hypochromic RBC ratio as a discriminant index in microcytic anemia and compared it to traditional indices in a learning set and confirmed our findings in a validation set. The learning set comprised samples from 371 patients with microcytic anemia mean cell volume (MCV < 80 fL), which were measured on a CELL-DYN Sapphire analyzer and various discriminant functions calculated. Optimal cutoff values were established using ROC analysis. These values were used in the validation set of 338 patients. In the learning set, a microcytic to hypochromic RBC ratio >6.4 was strongly indicative of thalassemia (area under the curve 0.948). Green-King and England-Fraser indices showed comparable area under the ROC curve. However, the microcytic to hypochromic ratio had the highest sensitivity (0.964). In the validation set, 91.1% of microcytic patients were correctly classified using the M/H ratio. Overall, the microcytic to hypochromic ratio as measured in CELL-DYN Sapphire performed equally well as the Green-King index in identifying thalassemia carriers, but with higher sensitivity, making it a quick and inexpensive screening tool.
Differential diagnosis of microcytic anemia: the role of microcytic and hypochromic erythrocytes. E. Urrechaga, J.J.M.L. Hoffmann, S. Izquierdo, J.F. Escanero. Intl Jf Lab Hematology Aug 2014. http://dx.doi.org:/10.1111/ijlh.12290

Achievement of complete response (CR) to therapy in chronic lymphocytic leukemia (CLL) has become a feasible goal, directly correlating with prolonged survival. It has been established that the classic definition of CR actually encompasses a variety of disease loads, and more sensitive multiparameter flow cytometry [and polymerase chain reaction methods] can detect the disease burden with a much higher sensitivity. Detection of malignant cells with a sensitivity of 1 tumor cell in 10,000 cells (10–4), using the above-mentioned sophisticated techniques, is the current cutoff for minimal residual disease (MRD). Tumor burdens lower than 10–4 are defined as MRD-negative. Several studies in CLL have determined the achievement of MRD negativity as an independent favorable prognostic factor, leading to prolonged disease-free and overall survival, regardless of the treatment protocol or the presence of other pre-existing prognostic indicators. Minimal residual disease evaluation using flow cytometry is a sensitive and applicable approach which is expected to become an integral part of future prospective trials in CLL designed to assess the role of MRD surveillance in treatment tailoring.

Minimal Residual Disease Surveillance in Chronic Lymphocytic Leukemia by Fluorescence-Activated Cell Sorting. S Ringelstein-Harlev, R Fineman.
Rambam Maimonides Med J. Oct 2014   5 (4)  e0027. http://dx.doi.org:/10.5041/RMMJ.10161

Natural Killer cells (CD3-CD16+CD56+) are a major players in innate immunity, both as direct cytotoxic effectors as well as regulators for other innate immunity cell types. We have shown that, using the FlowCellect™ human NK cell characterization kit, one can achieve accurate phenotyping on a variety of sample types, including whole blood samples. Using the same kit to perform an NK cell cytotoxicity test, we demonstrate that unbound K562 target cells can be clearly distinguished from those that have been engaged by CD56+ NK cells, and each of these populations can be further investigated for viability using the eFluor 660® dye.

Analysis of NK cell subpopulations in whole blood

Analysis of NK cell subpopulations in whole blood

Analysis of NK cell subpopulations in whole blood

A

Proportion of K562 target cells bound to NK cells

Proportion of K562 target cells bound to NK cells

In a 5:1 effector cell:target cell population, 8% of the K562 cells were bound to NK cells (Figure 3B). 84% of the bound K562 cells were viable (Figure 3C) stained with fixable viability dye), while 96% of the unbound K562 cells were viable (Figure 3D). (B,C,D not shown)

Characterization of Natural Killer Cells Using Flow Cytometry.
EMD Millipore is a division of Merck KGaA, Darmstadt, Germany.

Red blood cell distribution width (RDW) is increased in liver disease. Its clinical significance, however, remains largely unknown. The aim of this study was to identify whether RDW was a prognostic index for liver disease. Retrospective: 33 patients with non-cirrhotic HBV chronic hepatitis, 125 patients with liver cirrhosis after HBV infection, 81 newly diagnosed primary epatocellular carcinoma (pHCC) patients, 17 alcoholic liver cirrhosis patients and 42 patients with primary biliary cirrhosis (PBC). Sixty-six healthy individuals represented the control cohort. The relationship between RDW on admission and clinical features: The association between RDW and hospitalization outcome was estimated by receiver operating curve (ROC) analysis and a multivariable logistic regression model. Increased RDW was observed in liver disease patients. RDW was positively correlated with serum bilirubin and creatinine levels, prothrombin time, and negatively correlated with platelet counts and serum albumin concentration. A subgroup analysis, considering the different etiologies, revealed similar findings. Among the patients with liver cirrhosis, RDW increased with worsening of Child-Pugh grade. In patients with PBC, RDW positively correlated with Mayo risk score. Increased RDW was associated with worse hospital outcome, as shown by the AUC [95% confidence interval (CI)] of 0.76 (0.67 – 0.84). RDW above 15.15% was independently associated with poor hospital outcome after adjustment for serum bilirubin, platelet count, prothrombin time, albumin and age, with the odds ratio (95% CI) of 13.29 (1.67 – 105.68). RDW is a potential prognostic index for liver disease.

Red blood cell distribution width is a potential prognostic index for liver disease
Z Hua , Y Suna , Q Wanga , Z Han , Y Huang , X Liu , C Ding, et al.
Clin Chem Lab Med 2013; 51(7):1403–1408.
http://dx.doi.org:/10.1515/cclm-2012-0704

Blood Plasma and Red Blood Cells

Whole blood consists of red and white blood cells, as well as platelets suspended in a liquid referred to as blood plasma. According to the American Red Cross, plasma is 92% water and makes up 55% of blood volume. The permeability of blood plasma is equal to 1.

Red blood cells make up slightly lower blood volume than blood plasma — about 45% of whole blood. As you probably already know, these types of blood cells contain hemoglobin, which in turn consists of iron that helps transport oxygen throughout the body. The permeability of red blood cells is slightly less than 1,
(1 – 3.9e-6). Or to put it in words, red blood cell particles are diamagnetic.

Due to their magnetic properties, red blood cells may be separated from the plasma via a magnetophoretic approach. If the blood were to be in a channel subject to a magnetophoretic force, we could control where the red blood cells and the plasma go within the channels. In other words, because the red blood cells have different permeability, they can be separated from the flow channel. However, such methodology is beyond the year 1980.

Timeline of Major Hematology Landmarks

1877 Paul Ehrlich develops techniques to stain blood cells to improve microscopic visualization.

1897 The Diseases of Infancy and Childhood contains a 20-page chapter on diseases of the blood and is the first American pediatric medical textbook to provide significant hematologic information.

1821–1902 Rudolph Virchow, during a long and illustrious career, demonstrates the importance of fibrin in the blood coagulation process, coins the terms embolism and thrombosis, identifies the disease leukemia, and theorizes that leukocytes are made in response to inflammation.

1901 Karl Landsteiner and colleagues identify blood groups of A, B, AB, and O.

1907 Ludvig Hektoen suggests that the safety of transfusion might be improved by crossmatching blood between donors and patients to exclude incompatible mixtures. Reuben Ottenberg performs the first blood transfusion using blood typing and crossmatching in New York. Ottenberg also observes the Mendelian inheritance of blood groups and recognizes the “universal” utility of group O donors.

1910 The first clinical description of sickle cell published in medical literature.

1914 Sodium citrate is found to prevent blood from clotting, allowing blood to be stored between collection and transfusion.

1924 Pediatrics is the first comprehensive American publication on pediatric hematology.

1925 Alfred P. Hart performs the first exchange transfusion.

1925 Thomas Cooley describes a Mediterranean hematologic syndrome of anemia, erythroblastosis, skeletal disorders, and splenomegaly that is later called Cooley’s anemia and now thalassemia.

1936 Chicago’s Cook County Hospital establishes the first true “blood bank” in the United States.

1938 Dr. Louis Diamond (known as the “father of American pediatric hematology”) along with Dr. Kenneth Blackfan describes the anemia still known as Diamond-Blackfan anemia.

1941 The Atlas of the Blood of Children is published by Blackfan, Diamond, and Leister.

1945 Coombs, Mourant, and Race describe the use of antihuman globulin (later known as the “Coombs Test”) to identify “incomplete” antibodies.

1954 The blood product cryoprecipitate is developed to treat bleeds in people with hemophilia.

1950s The “butterfly” needle and intercath are developed, making IV access easier and safer.

1961 The role of platelet concentrates in reducing mortality from hemorrhage in cancer patients is recognized.

1962 The first antihemophilic factor concentrate to treat coagulation disorders in hemophilia patients is developed through fractionation.

1969 S. Murphy and F. Gardner demonstrate the feasibility of storing platelets at room temperature, revolutionizing platelet transfusion therapy.

1971 Hepatitis B surface antigen testing of blood begins in the United States.

1972 Apheresis is used to extract one cellular component, returning the rest of the blood to the donor.

1974 Hematology of Infancy and Childhood is published by Nathan and Oski.

As I write today my hospital celebrates its 150th anniversary. Great Ormond Street Children’s Hospital was founded on 14 February 1852 by the visionary Dr Charles West followed his belief that hospital care allied to research in children’s diseases would reduce child mortality from above 50% by the age of 15 years. It is foolish to believe that we can progress in medicine without a knowledge of the past and that much of life is based upon experience. When putting together a series of articles on the history of haematology, initially published in BJH, this was the main raison d’être, along with the belief that the practice of medicine has become increasingly serious but should also be fun and interesting and even occasionally uplifting to the spirit.

The central problem of any survey of the history of haematology is usually the question of balance. Achieving a degree of balance among themes and topics that will be satisfactory to practicing haematologists/physicians with an interest in blood diseases is essentially impossible. Our preference has been for themes of general interest rather than those of a purely scientific view into a field that has led the way in understanding the molecular basis of human disease.

  1. M. Hann, London, 2002; O. P. Smith, Dublin, 2002.

Origins of the Discipline `Neonatal Haematology’, 1925-75

In every modern neonatal intensive care unit (NICU), haematological problems are encountered daily. Many of these problems involve varieties of anaemia, neutropenia or thrombocytopenia that are unique to NICU patients. A characteristic aspect of these unique problems is that, if the neonate survives, the haematological problem will remit and will not recur later in life, nor will it evolve into a chronic illness (although the problem might occur in a future newborn sibling). This characteristic comes about because the common haematological problems of NICU patients are not genetic defects but are environmental stresses (such as infection, alloimmunization or a variety of maternal illnesses) that are imposed on a developmentally immature haematopoietic system.

In the USA, and in some parts of Europe, the unique haematological problems that occur among NICU patients are diagnosed and treated by neonatologists, not by paediatric haematologists. Although these haematological conditions were generally first described by haematologists, the conditions occur, obviously, in neonates. Thus, the neonatologist, who is familiar with intensive care management of neonates, has also become familiar with the diagnosis and management of the neonate’s common haematological disorders. A growing number of neonatologists have sought specific additional training in haematology, with the goals of discovering the mechanisms underlying the unique haematological problems of NICU patients and improving the management and outcome of the patients who have these conditions. These physicians have remained as neonatologists and they do not practice paediatric haematology, although their research contributions certainly come under the purview of haematology, or more precisely under the discipline of `neonatal haematology’. In many places in Europe, it is the haematologists rather than the neonatologists who have an academic and clinical interest in neonatal haematology.

The roots of the discipline of neonatal haematology can be traced to the early application of haematological methods to animal and human embryos and fetuses, such as found in the reports of Maximow (1924) and Wintrobe & Schumacker (1936). The clinical underpinnings of this discipline include reports of anaemia (Fikelstein, 1911) and jaundice (Blomfeld, 1901; YlppoÈ, 1913) among neonates.

Before the 1930s, very few studies and very few published clinical case reports originated from premature nurseries. Such nurseries had dubious beginnings, which were criticized by some physicians as more resembling circus exhibitions than medical care wards (Bonar, 1932). These units generally had mortality rates greatly exceeding 50% on the day of admission, with the majority of the first-day survivors having late deaths or serious long-term morbidity.

It was not until publication of the review of premature nursery care at the Children’s Hospital of Michigan, in 1932, that it was clear that some units had instituted systematic attempts to monitor and improve outcomes. A special care nursery had been established at the Children’s Hospital in 1926 and, in 1932, Drs Marsh Poole and Thomas Cooley reported their experience in that unit (Poole & Cooley, 1932). The report included  incubator design with temperature and humidity control, growth curves of patients on various feeding practices, mortality statistics and attempts to determine causes of death.

At the time premature nursery care was beginning to merit academic credentials, reports were published of haematological problems that were unique to the neonate. These papers included the seminal publication on erythroblastosis fetalis by Drs Diamond (Fig 1), Blackfan and Baty (Diamond et al, 1932), and the report of sepsis neonatorum at the Yale New Haven Hospital by Ethyl C. Dunham (Fig 2) (Dunham,

1933).

The first major textbook devoted to clinical haematology, as well as the first textbook of neonatology, contained very little information about what are today’s common NICU haematological problems. For instance, in the first edition of Clinical Hematology by Dr Maxwell M. Wintrobe (Fig 3), of the Johns Hopkins University Hospital (Wintrobe, 1942), several topics related to paediatric haematology were reviewed, but discussions of the haematological problems of neonates were limited to three – erythroblastosis fetalis, haemorrhagic disease of the newborn and the `anaemia of prematurity’. Similarly, Premature Infants: A Manual for

Physicians, the original neonatology textbook, published in 1948 by Dr Ethyl C. Dunham (Fig 2; Dunham, 1948), had only a few pages devoted to haematological problems – the same three discussed by Dr Wintrobe. Also, the classic neonatology text book, `The Physiology of the Newborn Infant’, published in 1945 by Dr Clement A. Smith, contained almost no discussion of haematological problems (Smith, 1945). hrombocytopenia, which is now diagnosed among 25-30% of NICU patients, and neutropenia, now diagnosed in 8-10% of NICU patients, were not mentioned.

The first article published in Paediatrics (1948) dealing with a neonatal haematological problem was in volume two, in which Dr Diamond detailed his technique for performing a replacement transfusion (which later became known as an `exchange’ transfusion) as a treatment for erythroblastosis fetalis (Diamond, 1949). The second paper published by Paediatrics containing aspects of neonatal haematology was 1 year later, when Sliverman & Homan (1949) described leucopenia among neonates with sepsis. Most of the 25 infants they described, who were treated at Babies Hospital in New York over an 11-year period, had `late-onset’ sepsis, beginning after 3 days of life. They reported 14 neonates with Escherichia coli sepsis and four with streptococcal or staphylococcal sepsis, and observed that leucopenia occurred occasionally among these patients but was uncommon. (Indeed, today neutropenia remains uncommon in `late-onset’ sepsis, but common in congenital or `early onset’ sepsis.)

Louis K. Diamond, MD, at Children's Hospital, Boston,

Louis K. Diamond, MD, at Children’s Hospital, Boston,

Louis K. Diamond, MD, at Children’s Hospital, Boston, MA. , date unknown (obtained with the kind assistance of Charles F. Simmons, MD, Harvard University).

Diagnosing neutropenia, anaemia or thrombocytopenia in a neonate obviously requires knowledge of the expected normal range for neutrophil concentration, haematocrit and platelet concentration in the appropriate reference population. Early contributions to neonatal haematology included the publications of these reference ranges. The landmark studies included the range of blood leucocyte and neutrophil concentrations in neonates published in 1935 by Dr Katsuji Kato from the Department of Paediatrics at the University of Chicago (Kato, 1935). He tabulated the leucocyte concentrations and differential counts of 1081 children, ranging from birth to 15 years of age. A striking finding of his report (Fig 4) was the very high neutrophil counts during the first hours and days of life. Blood neutrophil concentrations among neonates with infections were published during the early and mid-1970s by Dr Marietta Xanthou (Fig 5) at the Hammersmith Hospital in London (Xanthou, 1970, 1972), and by Drs Barbara Manroe and Charles Rosenfeld (Fig 6) at the University of Texas Southwestern Medical Center in Dallas, Texas (Manroe et al, 1977).

Normal values for haemoglobin, haematocrit, erythrocyte indices and leucocyte concentrations were refined by DeMarsh et al (1942, 1948), and in a series of publications in the early 1950s in Archives of Diseases of Children by Gairdner et al (1952a, b). These were followed by observations on human fetal haematopoiesis by Thomas and Yoffey in the British Journal of Haematology (Thomas & Yoffey, 1962, 1964), and by the work on blood volume during the 1960s (Usher et al, 1963, Usher & Lind, 1965; Yao et al, 1967, 1968). Normal ranges for blood platelet counts in ill and well preterm and term infants were published in the early 1970s (Sell et al, 1973; Corrigan, 1974).

The first publication addressing the problem of neutropenia accompanying fatal early onset bacterial sepsis was that of Tygstrup et al (1968). This was a report of a near-term male with congenital Listeria sepsis who lived for only 4 h. The platelet count was 80*109/l and the leucocyte count was 13´7*109/l, but no granulocytes were observed on the differential count, which consisted of 84% lymphocytes, 8% monocytes and 8% leucocyte precursors. A sternal marrow aspirate was taken of the infant shortly before death that revealed myeloblasts, promyelocytes and myelocytes, but no band or segmented neutrophils.

An important advance in understanding the blood neutrophil count during neonatal sepsis occurred with the back-to-back papers in Archives of Diseases of Childhood in 1972 by Dr Marietta Xanthou of Hammersmith Hospital, London (Xanthou, 1972), and Drs Gregory and Hey of Babies’ Hospital, Newcastle upon Tyne (Gregory & Hey, 1972). Both papers reported that neonates who had life threatening (or indeed fatal) infections became neutropenic prior to death. Dr Xanthou reported 35 ill preterm and term babies within their first 28 d of life. Twenty-four were ill but not infected, and these had normal blood neutrophil concentrations and morphology. However, among the 11 who were ill with a bacterial infection, neutrophilia was observed in the survivors, but neutropenia, a `left shift’, and toxic granulation were observed in the non-survivors. Consistent with this observation, Gregory and Hey reported three neonates who died with overwhelming bacterial sepsis and noted that all had profound neutropenia. Neutrophilia was common among the survivors and neutropenia, a “left shift’, and specific neutrophil morphological changes were seen among those who subsequently died.

A pivotal publication that launched the search for mechanistic information and successful treatments was that of Dr Barbara Manroe, a fellow in Neonatal Medicine, and her mentor Dr Charles Rosenfeld (Fig 6) from the University of Texas, South-western, Parkland Hospital in Dallas, Texas (Manroe et al, 1977). They evaluated 45 neonates who had culture-proven group B streptococcal infection and found that 39 had abnormal leucocyte counts: 25 neutrophilia and 14 neutropenia, and that 41 had a `left shift’. This paper was the first to quantify the `left shift’ using a method that has since become popular in neonatology – the ratio of immature neutrophils to total neutrophils on the differential cell count.

From these beginning, hundreds of studies using experimental models and clinical observations and trials were published, detailing the kinetic and molecular mechanisms accounting for this common variety of neutropenia. Marked improvements in the survival of neonates with this condition have come about through combined efforts, including early maternal screening for GBS carriage, early anti-microbial administration to ill neonates, non-specific antibody administration and a variety of measures to improve supportive care of neonates with early onset sepsis.

In the early 1930s, Dr Helen Mackay worked as a paediatrician in Mother’s Hospital, a maternity hospital located in the north-east section of London. Acting on the observation of Lichtenstein (1921) that infants of subnormal birth weight regularly became anaemic in the first months of life, she measured and reported serial heel-stick haemoglobin levels on 150 infants during their first 6 months. Thirty-nine of these infants weighed under five pounds at birth (six were under four pounds), 52 weighed five to six pounds, and 59 weighed six pounds and upwards. She showed that babies of the lightest birth weights had the most rapid fall in haemoglobin and that these fell to lower levels than those of babies of heavier birth weight (MacKay et al, 1935). Figure 7 contrasts this fall in babies weighing `3-4 lbs odd at birth’ with those weighing `5 lbs odd at birth’.

Her attempts to prevent the anaemia of prematurity failed,  but her work constituted the first clear definition of the `anaemia of prematurity’ and showed that iron administration did not prevent this condition. In the early 1950s, Douglas Gairdner, John Marks and Janet D. Roscoe, of the Department of Pathology of Cambridge Maternity Hospital, published pioneering studies in blood formation in infancy (Gairdner et al, 1952a, b). Studying 105 blood samples and 102 bone marrow samples, they concluded that `erythropoiesis ceases when the oxygen saturation just after birth increases from about 65% in the umbilical vein to .95% just after birth’. Publications by Dr Irving Schulman, in the mid- to late 1950s, defined three phases of the anaemia of prematurity and provided a mechanistic explanation for the anaemia (Schulman & Smith, 1954; Schulman, 1959). His work illustrated that the early and intermediate phases of this anaemia occur in the face of relative iron excess and are unaffected by prophylactic iron administration.

Haemoglobin levels during the first 25 weeks of life among

Haemoglobin levels during the first 25 weeks of life among

Haemoglobin levels during the first 25 weeks of life among neonates in London [by permission; Archives Diseases of Children, (MacKay, 1935)].

In 1963, Dr Sverre Halvorsen of the Department of Paediatrics at Rikshospatalet in Oslo, Norway (Fig 9), provided an underlying explanation for the observations made by MacKay, Gairdner and Schulman (Halvorson, 1963). He observed that, compared with the blood of healthy adults, umbilical cord blood of healthy neonates had a high erythropoietin concentration, but the concentration was considerably higher in the plasma of severely erythroblastotic, anaemic infants. Among the healthy infants, erythropoietin levels fell to unmeasurably low concentrations after delivery, but levels remained elevated in hypoxic and cyanotic infants. Dr Per Haavardsholm Finne, also of the Children’s Department, Paediatric Research Institute and Department of Obstetrics and Gynaecology at Rikshospitalet in Oslo, observed high oncentrations of erythropoietin in the amniotic fluid and the umbilical cord blood after fetal hypoxia (Finne, 1964, 1967).

In subsequent studies, Dr Halvorsen observed lower plasma erythropoietin concentrations in the cord blood of preterm infants at delivery than in term neonates at delivery (Halvorsen & Finne, 1968). These observations supported the concept of Gairdner et al (1952a, b) that the postnatal fall in erythropoiesis (the `physiologic anaemia’ of neonates) is as a result of an increase in oxygen delivery to tissues following birth and is mediated by a fall in circulating erythropoietin concentration. The observations gave rise to the postulate that the `anaemia of prematurity’ was an exaggeration of this physiological anaemia and involved a limitation of preterm infants to appropriately increase erythropoietin production.

Many landmark reports of haematological findings of neonates that were published between 1925 and 1975 were not detailed in this review because they were outside the restricted topics selected.

Robert D. Christensen, MD, Gainesville, FL
Brit J Haem 2001; 113: 853-860

Towards Molecular Medicine; Reminiscences of the Haemoglobin Field

When historians of medicine in the twentieth century start to piece together the complex web of events that led from a change of emphasis of medical research from studies of patients and their organs to disease at the levels of cells and molecules they will undoubtedly have their attention drawn to the haemoglobin field, particularly the years that followed Linus Pauling’s seminal paper in 1949 which described sickle-cell anaemia as a `molecular disease’. These are personal reminiscences of some of the highlights of those exciting times, and of those who made them happen.

One of my first patients serving the RAMC was a Nepalese Ghurka child who was kept alive from the first few months of life with regular blood transfusion without a diagnosis. Henry Kunkel published a paper which described how, using electrophoresis in slabs of starch, he had found a minor component of human haemoglobin (Hb), Hb A2, the proportion of which was elevated in some carriers of thalassaemia. After several weeks spent knee deep in potato starch, we found that the Ghurka child’s parents had increased Hb A2 levels and, hence, that she was likely to be homozygous for thalassaemia. I was hauled up before the Director General of Medical Services for the Far East Land Forces and told that I could be court marshalled for not getting permission from the War House (Office) to publish information about military personnel. `And, in any case’, he added, `it is bad form to tell the world that one of our pukka regiments has bad genes; don’t do it again’.

Just before the end of my National Service I arranged to go to Johns Hopkins Hospital in Baltimore to train in genetics and haematology. I was told that I was wasting my time working on haemoglobin because there was `nothing left to do’. `Start exploring red cell enzymes’, he suggested. On arriving in Baltimore in 1960 it turned out that human genetics, and the haemoglobin field in particular, were bubbling with excitement and potential. The only lessons for those contemplating careers in medical research from this chapter of academic and military gaffs are that, regardless of the working conditions, when there are sick people there are always interesting research questions to be asked.

The excitement of the haemoglobin field in 1960 reflected the chance amalgamation of several disciplines in the 1950s, particularly X-ray crystallography, protein chemistry, human genetics and haematology.

From the early 1930s the structure of proteins became one of the central problems of biochemistry. At that time, the only way of tackling this problem was by X-ray crystallography. In 1937 Felix Haurowitz suggested to Max Perutz (Fig 1) that an X-ray study of haemoglobin might be a good subject for his doctoral thesis. He was given some large crystals of horse methaemoglobin which gave excellent Xray diffraction patterns.

Max Perutz

Max Perutz

However, there was a major snag; an X-ray diffraction pattern provided only half the information required to solve the structure of a protein, that is the amplitudes of diffracted rays, while the other half, their phases, could not be determined. But in 1953, they discovered that it could be solved in two dimensions by comparison of the diffraction patterns of a crystal of native haemoglobin with that of haemoglobin reacted with mecuribenzoate, which combines with its two reactive sulphydryl groups. In short, to solve the structure in three dimensions required the comparison of the diffraction patterns of at least three crystals, one native and two with heavy atoms combined with different sites on the haemoglobin molecule. In 1959 this approach yielded the first three-dimensional model of haemoglobin, at 5´5 AÊ resolution.

Protein chemistry evolved side-by-side with X-ray crystallography during the 1950s. In 1951 Fred Sanger solved the structure of insulin, a remarkable tour de force which showed that proteins have unique chemical structures and amino acid sequences. Sanger had perfected methods for fractionation and characterization of small peptides by paper chromatography or electrophoresis. In 1956 Vernon Ingram (Fig 2), who, like Max Perutz, was a refugee from Germany, was set the task of studying the structure of haemoglobin from patients with sickle-cell anaemia. Ingram separated the peptides produced after globin had been hydrolysed with the enzyme trypsin, which cuts only at lysine and arginine residues. Although these amino acids accounted for 60 residues per mol of haemoglobin, only 30 tryptic peptides were obtained, indicating that haemoglobin consists of two identical half molecules. Re-examination of the amino-terminal sequences of haemoglobin by groups in the United States and Germany showed 2 mols of valine ± leucine and 2 mols of valine ± histidine ± leucine per mol of globin. These findings, which were in perfect agreement with the X-ray crystallographic results, suggested that haemoglobin is a tetramer composed of two pairs of unlike peptide chains, which were called α and β.

A seminal advance, and one which was to mark the beginning of molecular medicine, was the chance result of an overnight conversation on a train journey between Denver and Chicago. Linus Pauling, the protein chemist, and William Castle (Fig 3), one of the founding fathers of experimental haematology, were returning from a meeting in Denver and Castle mentioned to Pauling that he and his colleagues had noticed that when red cells from patients with sickle-cell anaemia are deoxygenated and sickle they show birefringence in polarized light.

Five generations of Boston haematology. Seated is William Castle. Standing (left to right) are Stuart Orkin, David Nathan and Alan Michelson. The picture on the left is of Dean David Edsall of Harvard Medical School who established the Thorndyke Laboratory at the Boston City Hospital. He was succeeded by Dean Peabody, who recruited both George Minot, who won the Nobel Prize for his work on pernicious anaemia, and William Castle, who should have also received it.

Pauling guessed that this might reflect a structural difference between normal and sickle-cell haemoglobin which could be detected by a change in charge. He gave this problem to one of his postdoctoral students, a young medical graduate called Harvey Itano. At that time they knew that a Swede, Arne Tiselius, had invented a machine for separating proteins according to their charge by electrophoresis. As there was no machine of this kind in Pauling’s laboratory, Itano and his colleagues set to and built one. Eventually they found that the haemoglobin of patients with sickle-cell anaemia behaves differently to that of normal people in an electric field, indicating that it must have a different amino acid composition. Even better, the haemoglobin of sickle-cell carriers was a mixture of both types of haemoglobin. This work was published in Science in 1949, under the title `Sickle-cell anaemia: a molecular disease’.

Perutz and Crick suggested to Ingram that he should apply Sanger’s techniques of peptide analysis to see if he could find any difference between normal and sickle cell haemoglobin. After digesting haemoglobin with trypsin, Ingram separated the peptides by electrophoresis and chromatography in two dimensions to produce what he later called `fingerprints’. He recalls that his first efforts looked like a watercolour that had been left out in the rain. But gradually things improved and he was able to show that the fingerprints of Hbs A and S were identical except for the position of one peptide. Using a method that had been developed a few years earlier by Pehr Edman, which allowed a peptide to be degraded one amino acid at a time in a stepwise fashion, Ingram found that this difference was due to the substitution of valine for glutamic acid at position 6 in the β chain of Hb S.

As well as demonstrating how a crippling disease can result from only a single amino acid difference in the haemoglobin molecule, this beautiful work had broader implications for molecular genetics. Although nothing was known about the nature of the genetic code at the time, the findings were compatible with the notion that the primary product of the β-globin gene is a peptide chain, a further development of the one-gene-one-enzyme concept, suggested earlier by Beadle and Tatum from their studies of Neurospora, and a prelude to the later studies of Yanofsky on Escherichia coli, which were to confirm this principle.

With the advent of simple filter paper electrophoresis, haemoglobin analysis became the province of clinical research laboratories during the 1950s and `new’ abnormal haemoglobins appeared almost by the week. Although many scientists were involved it was Hermann Lehmann (Fig 4) who became the father figure. Like Handel, Hermann was born in Halle and, also like the composer, made his home in Great Britain. He came to England as a refugee and at the beginning of the Second World War had a short period of internment as a `friendly alien’ at Huyton, close to Liverpool, an experience shared with many others, including Max Perutz. He travelled widely during his later war service in the RAMC and developed a wide international network which enabled him to discover 81 haemoglobin variants during his career.

Harvey Itano and Elizabeth Robinson showed that Hb Hopkins 2 is an a chain variant. Hence, it was now clear that there must be at least two unlinked loci involved in regulating haemoglobin production, a and b. The discovery of the λ and δ chains of Hbs F and A2, respectively, meant that there must be at least four loci involved. Subsequent family studies and analyses of unusual variants resulting from the production of δβ or λβ fusion chains led to the ordering of the non-α globin genes.

It had been known for some years that children with severe forms of thalassaemia might have persistent production of HbF and it was found later that some carriers might have elevated levels of Hb A2. The seminal observation in favour of this notion came from the study of patients who had inherited the sickle-cell gene from one parent and thalassaemia from the other. Sickle-cell thalassaemia was first described by Ezio Silvestroni and his wife Ida Bianco in 1946, although at the time they could not have known the full significance of their finding.  Phillip Sturgeon and his colleagues in the USA found that the pattern of haemoglobin production in patients with sickle-cell thalassaemia is quite different to that of heterozygotes for the sickle-cell gene; the effect of the thalassaemia gene is to reduce the amount of Hb A to below that of Hb S, i.e. exactly the  opposite to the ratio observed in sickle-cell carriers. As it was known that the sickle-cell mutation occurs in the β globin gene, it could be inferred that the action of the thalassaemia gene was to reduce the amount of β globin production from the normal allele. Indeed, from the few family studies available in 1960 there was a hint that this form of thalassaemia might be an allele of the β globin gene. Another major observation that was made in the mid-50 s was the association of unusual tetramer haemoglobins, β4 (Hb H) and λ4 (Hb Bart’s), with a thalassaemia phenotype. In 1959 Vernon Ingram and Tony Stretton proposed in a seminal article that there are two major classes, α and β, just as there are two major types of structural haemoglobin variants. They extended the ideas of Linus Pauling and Harvey Itano, who had suggested that defective globin synthesis in thalassaemia might be due to `silent’ mutations of the β globin genes, and postulated that the defects might lie outside the structural gene in the area of DNA in the connecting unit. work on the interactions of thalassaemia and haemoglobin variants in the late 1950s had moved the field to a considerably higher level of understanding than is apparent in the earlier papers of Pauling and Itano. In any case, in their paper Ingram and Stretton generously acknowledged the ideas of other workers, including Lehmann, Gerald, Neel and Ceppellini, that had allowed them to develop their conceptual framework of the general nature of thalassaemia. This interpretation of events, and the input of scientists from many different disciplines into these concepts, is supported by the published discussions of several conferences on haemoglobin held in the late 1950s.

Historical Review. Towards Molecular Medicine; Reminiscences of the Haemoglobin Field. D. J. Weatherall, Weatherall Institute of Molecular Medicine, University of Oxford. Brit J  Haem 115:729-738.

The Emerging Understanding of Sickle Cell Disease

The first indisputable case of sickle cell disease in the literature was described in a dental student studying in Chicago between 1904 and 1907 (Herrick, 1910). Coming from the north of the island of Grenada in the eastern Caribbean, he was first admitted to the Presbyterian Hospital, Chicago, in late December 1904 and a blood test showed the features characteristic of homozygous sickle cell (SS) disease. It was a happy coincidence that he was under the care of Dr James Herrick (Fig 1) and his intern Dr Ernest Irons because both had an interest in laboratory investigation and Herrick had previously presented a paper on the value of blood examination in reaching a diagnosis (Herrick, 1904-05). The resulting blood test report by Dr Irons described and contained drawings of the abnormal red cells (Fig 2) and the photomicrographs, showing irreversibly sickled cells.

People with positive sickle tests were divided into asymptomatic cases, `latent sicklers’, and those with features of the disease, `active sicklers’, and it was Dr Lemuel Diggs of Memphis who first clearly distinguished symptomatic cases called sickle cell anaemia from the latent asymptomatic cases which were termed the sickle cell trait (Diggs et al, 1933).

Prospective data collection in 29 cases of the disease showed sickling in all 42 parents tested (Neel, 1949), providing strong support for the theory of homozygous inheritance. A Colonial Medical Officer working in Northern Rhodesia (Beet, 1949) reached similar conclusions at the same time with a study of one large family (the Kapokoso-Chuni pedigree). The implication that sickle cell anaemia should occur in all communities in which the sickle cell trait was common and that its frequency would be determined by the prevalence of the trait did not appear to fit the observations from Africa. Despite a sickle cell trait prevalence of 27% in Angola, Texeira (1944) noted the active form of the disease to be `extremely rare’ and similar observations were made from East Africa. Lehmann and Raper (1949, 1956) found a positive sickling test in 45% of one community, from which homozygous inheritance would have predicted that nearly 10% of children had SS disease, yet not a single case was found. The discrepancy led to a hypothesis that some factor inherited from non-black ancestors in America might be necessary for expression of the disease (Raper, 1950).

The explanation for this apparent discrepancy gradually emerged. Working with the Jaluo tribe in Kenya, Foy et al (1951) found five cases of sickle cell anaemia among very young children and suggested that cases might be dying at an age before those sampled in surveys. A similar hypothesis was advanced by Jelliffe (1952) and was supported by data from the then Belgian Congo (Lambotte-Legrand Lambotte-Legrand, 1951, Lambotte-Legrand, 1952, Vandepitte, 1952). Although most cases were consistent with the concept of homozygous inheritance, exceptions continued to occur. Patients with a non-sickling parent of Mediterranean ancestry were later recognized to have sickle cell-β thalassaemia (Powell et al, 1950; Silvestroni & Bianco, 1952; Sturgeon et al, 1952; Neel et al, 1953a), a condition also widespread in African and Indian subjects that presents a variable syndrome depending on the molecular basis of the β thalassaemia mutation and the amount of HbA produced.

Phenotypically, there are two major groups in subjects of African origin, sickle cell-β+ thalassaemia manifesting 20-30% HbA and mutations at 229(A,G) or 288(C,T), and sickle cell-β0 thalassaemia with no HbA and mutations at IVS2-849(A,G) or IVS2-1(G,A). In Indian subjects, a more severe β thalassaemia mutation IVS1-5(G,C) results in a sickle cell-β+ thalassaemia condition with 3-5% HbA and a relatively severe clinical course.

Other double heterozygote conditions causing sickle cell disease include sickle cell-haemoglobin C (SC) disease, (Kaplan et al, 1951; Neel et al, 1953b), sickle cellhaemoglobin O Arab (Ramot et al, 1960), sickle cellhaemoglobin Lepore Boston (Stammatoyannopoulos & Fessas, 1963) and sickle cell-haemoglobin D Punjab (Cooke & Mack, 1934). The latter condition was first described in siblings in 1934, who were reinvestigated for confirmation of HbD (Itano, 1951), the clinical features reported (Sturgeon et al, 1955) and who were finally identified as HbD Punjab (Babin et al, 1964), representing a remarkable example of longitudinal observation and investigation in the same family over 30 years.

The maintenance of high frequencies of the sickle cell trait in the presence of almost obligatory losses of homozygotes in Equatorial Africa implied that there was either a very high frequency of HbS arizing by fresh mutations or that the sickle cell trait conveyed a survival advantage in the African environment. There followed a remarkable period in the 1950s when three prominent scientists were each addressing this problem in East Africa, Dr Alan Raper and Dr Hermann Lehmann in Uganda and Dr Anthony Allison in Kenya. It was quickly calculated that mutation rates were far too low to balance the loss of HbS genes from deaths of homozygotes (Allison, 1954a). An increased fertility of heterozygotes was proposed (Foy et al, 1954; Allison, 1956a) but never convincingly demonstrated. Raper (1949) was the first to suggest that the sickle cell trait might have a survival advantage against some adverse condition in the tropics and Mackey & Vivarelli (1952) suggested that this factor might be malaria. The close geographical association between the distribution of malaria and the sickle cell gene supported this concept (Allison, 1954b) and led to an exciting period in the history of research in sickle cell disease.

The first observations on malaria and the sickle cell trait were from Northern Rhodesia where Beet (1946, 1947) noted that malarial parasites were less frequent in blood films from subjects with the sickle cell trait. Allison (1954c) drew attention to this association, concluding that persons with the sickle cell trait developed malaria less frequently and less severely than those without the trait. This communication marked the beginning of a considerable controversy.Two studies failed to document differences in parasite densities between `sicklers’ and `non-sicklers’ (Moore et al, 1954; Archibald & Bruce-Chwatt, 1955) and Beutler et al (1955) were unable to reproduce the inoculation experiments of Allison (1954c). Raper (1955) speculated that some feature of Allison’s observations had accentuated a difference of lesser magnitude and postulated that the sickle cell trait might inhibit the establishment of malaria in non-immune subjects. The conflicting results in these and other studies appear to have occurred because the protective effect of the sickle cell trait was overshadowed by the role of acquired immunity. Examination of young children before the development of acquired immunity confirmed both lower parasite rates and densities in children with the sickle cell trait (Colbourne & Edington, 1956; Edington & Laing, 1957; Gilles et al, 1967) and it is now generally accepted that the sickle cell trait confers some protection against falciparum malaria during a critical period of early childhood between the loss of passively acquired immunity and the development of active immunity (Allison, 1957; Rucknagel & Neel, 1961; Motulsky, 1964). The mechanism of such an effect is still debated, although possible factors include selective sickling of parasitized red cells (Miller et al, 1956; Luzzatto et al, 1970) resulting in their more effective removal by the reticulo-endothelial system, inhibition of parasite growth by the greater potassium loss and low pH of sickled red cells (Friedman et al, 1979), and greater endothelial adherence of parasitized red cells (Kaul et al, 1994).

The occurrence of the sickle cell mutation and the survival advantage conferred by malaria together determine the primary distribution of the sickle cell gene. Equatorial Africa is highly malarial and the sickle cell mutation appears to have arisen independently on at least three and probably four separate occasions in the African continent, and the mutations were subsequently named after the areas where they were first described and designated the Senegal, Benin, Bantu and Cameroon haplotypes of the disease (Kulozik et al, 1986; Chebloune et al, 1988; Lapoumeroulie et al, 1992). The disease seen in North and South America, the Caribbean and the UK is predominantly of African origin and mostly of the Benin haplotype, although the Bantu is proportionately more frequent in Brazil (Zago et al, 1992). It is therefore easy to understand the common misconception held in these areas that the disease is of African origin.

However, the sickle cell gene is widespread around the Mediterranean, occurring in Sicily, southern Italy, northern Greece and the south coast of Turkey, although these are all of the Benin haplotype and so, ultimately, of African origin. In the Eastern province of Saudi Arabia and in central India, there is a separate independent occurrence of the HbS gene, the Asian haplotype. The Shiite population of the Eastern Province traditionally marry first cousins, tending to increase the prevalence of SS disease above that expected from the gene frequency (Al-Awamy et al, 1984). Furthermore, extensive surveys performed by the Anthropological Survey of India estimate an average sickle cell trait frequency of 15% across the states of Orissa, Madhya Pradesh and Masharastra which, with the estimated population of 300 million people, implies that there may be more cases of sickle cell disease born in India than in Africa. The Asian haplotype of sickle cell disease is generally associated with very high frequencies of alpha thalassaemia and high levels of fetal haemoglobin, both factors believed to ameliorate the severity of the disease.

The promotion of sickling by low oxygen tension and acid conditions was first recognized by Hahn & Gillespie (1927) and further investigated by others (Lange et al, 1951; Allison, 1956b; Harris et al, 1956). The morphological and some functional characteristics of irreversibly sickled cells were described (Diggs & Bibb, 1939; Shen et al, 1949), but the essential features of the polymerization of reduced HbS molecules had to await the developments of electron microscopy (Murayama, 1966; Dobler & Bertles, 1968; Bertles & Dobler, 1969; White & Heagan, 1970) and Xray diffraction (Perutz & Mitchison, 1950; Perutz et al, 1951). The early observations on the inducement of sickling by hypoxia led to the first diagnostic tests utilizing sealed chambers in which oxygen was removed by white cells (Emmel, 1917), reducing agents such as sodium metabisulphite (Daland & Castle, 1948) or bacteria such as Escherichia coli (Raper, 1969). These slide sickling tests are very reliable with careful sealing and the use of positive controls, but require a microscope and some expertise in its use. An alternative method of detecting HbS utilizes its relative insolubility in hypermolar phosphate buffers (Huntsman et al, 1970), known as the solubility test. Both the slide sickle test and the solubility test detect the presence of HbS, but fail to make the vital distinction between the sickle cell trait and forms of sickle cell disease. This requires the process of haemoglobin electrophoresis, which detects the abnormal mobility of HbS, HbC and many other abnormal haemoglobins within an electric field.

The contributions of several workers on the determinants of sickling (Daland & Castle, 1948), birefringence of deoxygenated sickled cells (Sherman, 1940) the lesser degree of sickling in very young children which implied that it was a feature of adult haemoglobin (Watson, 1948) led Pauling to perform Tiselius moving boundary electrophoresis on haemoglobin solutions from subjects with sickle cell anaemia and the sickle cell trait. The demonstration of electrophoretic and, hence, implied chemical differences between normal, sickle cell trait and sickle cell disease led to the proposal that it was a molecular disease (Pauling et al, 1949). The chance encounter between Castle and Pauling who shared a train compartment returning from a meeting in Denver in 1945, its background and implications, has passed into the folklore of medical research (Conley, 1980; Feldman & Tauber, 1997).

The nature of this difference was soon elucidated. The haem groups appeared identical, suggesting that the difference resided in the globin, but early chemical analyses revealed no distinctive differences (Schroeder et al, 1950; Huisman et al, 1955). Analyses of terminal amino acids also failed to reveal differences, although an excess of valine in HbS was noted but considered an experimental error (Havinga, 1953). The development of more sensitive methods of fingerprinting combining high voltage electrophoresis and chromatography allowed the identification of the essential difference between HbA and HbS. This method enabled the separation of constituent peptides and demonstrated that a peptide in HbS was more positively charged than in HbA (Ingram, 1956). This peptide was found to contain less glutamic acid and more valine, suggesting that valine had replaced glutamic acid (Ingram, 1957). The sequence of this peptide was shown to be Val-His-Leu-Thr-Pro-Val-Glu-Lys in HbS instead of the Val-His-Leu-Thr-Pro-Glu-Glu-Lys in HbA (Hunt & Ingram, 1958), a sequence which was subsequently identified as the amino-terminus of the b chain (Hunt & Ingram, 1959). This amino acid substitution was consistent with the genetic code and was subsequently found to be attributable to the nucleotide change from GAG to GTG (Marotta et al, 1977).

Haemolysis and anaemia. The presence of anaemia and jaundice in the first four cases suggested accelerated haemolysis, which was supported by elevated reticulocyte counts (Sydenstricker et al, 1923) and expansion of the bone marrow (Sydenstricker et al, 1923; Graham, 1924). The bone changes of medullary expansion and cortical thinning were noted in early radiological reports (Vogt & Diamond, 1930; LeWald, 1932; Grinnan, 1935). Drawing on a comparison of sickle cell disease and hereditary spherocytosis, Sydenstricker (1924) introduced the term `haemolytic crisis’ that has persisted in the literature to this day, despite the lack of evidence for such an entity in sickle cell disease. The increased requirements of folic acid and the consequence of a deficiency leading to megaloblastic change was not noted until much later (Zuelzer & Rutzky, 1953; Jonsson et al, 1959; MacIver & Went, 1960).

The haemoglobin level in SS disease of African origin is typically between 6 and 9 g/dl and is well tolerated, partly because of a marked shift in the oxygen dissociation curve (Scriver & Waugh, 1930; Seakins et al, 1973) so that HbS within the red cell behaves with a low oxygen affinity. This explains why patients at their steady state haemoglobin levels rarely show classic symptoms of anaemia and fail to benefit clinically from blood transfusions intended to improve oxygen delivery.

Graham R. Serjeant
Sickle Cell Trust, Kingston, Jamaica
Brit J Haem 2001; 112: 3-18

The Immune Haemolytic Anaemias

The growth in knowledge of the scientific basis of haemolytic anaemias, which have been a main interest of the author, has been remarkable, as have consequent advances in the practice of medicine since the mid-1930s. At that time, the cause and mechanism of important disorders such as the acquired antibody determined (immune) haemolytic anaemias, haemolytic disease of the newborn, hereditary spherocytosis and paroxysmal nocturnal haemoglobinuria were unknown or but partially understood.

According to Crosby (1952), William Hunter of London, in an article on pernicious anaemia published in 1888, was the first to use the term `haemolytic’ to denote an anaemia caused by excessive blood destruction. By the turn of the century, the term was being widely used in clinical literature. Peyton Rous, in his comprehensive review `Destruction of the red blood corpuscles in health and disease’ (Rous, 1923), concluded that the generally held view in the early 1930s was that about one-fifteenth of the erythrocyte mass was destroyed daily. Rous was aware of the pioneer work of Winifred Ashby (1919), who, by following the survival of serologically distinct but compatible transfused erythrocytes, had found that normal erythrocytes might live for up to 100 d in the recipients’ circulation. Subsequent work using radioactive chromium (51Cr) as an erythrocyte label, showed that Ashby’s data and conclusions were in fact correct, i.e. that normal erythrocytes in health circulate in the peripheral blood for approximately 110 d. Erythrocyte labelling with 51Cr also had a further advantage over the Ashby method in addition to enabling the life-span of the patients’ erythrocytes to be assessed in the circulation by surface counting, to detect and measure the accumulation of radioactivity in the spleen and liver, and thereby assess the organs’ role in haemolysis

In the first decade of the twentieth century Widal et al (1908a) and Le Gendre & Brulea (1909) reported that autohaemoagglutination was a striking finding in some cases of icteare heamolytique acquis, and also Chauffard & Trosier (1908) and Chauffard & Vincent (1909) had described the presence of haemolysins in the serum of patients suffering from intense haemolysis. The conclusion was that abnormal immune processes, i.e. the development of auto-antibodies damaging the patients’ own erythrocytes, might play a part in the genesis of some cases of acquired haemolytic anaemia. This was indeed antedated by the classic observations of Donath & Landsteiner (1904) and Eason (1906) on the mechanism of haemolysis in paroxysmal cold haemoglobinuria.

That blood might auto-agglutinate when chilled had been described by Landsteiner (1903) and that an unusual degree of the phenomenon might complicate some types of respiratory disease was reported by Clough & Richter (1918) and later by Wheeler et al (1939). A few years later Peterson et al (1943) and Horstmann & Tatlock (1943) reported that cold auto-agglutinins at high titres were frequently found in the serum of patients who had suffered from the then so called primary atypical pneumonia.

Stats & Wasserman’s (1943) review on cold haemagglutination was a valuable contribution to contemporary knowledge. They listed in a table as many as 94 references to papers published between 1890 and 1943 in which cold haemagglutination had been described. In 32 of the papers the patients referred to had suffered from increased haemolysis

Recognition that cold auto-antibodies played an important role in the pathogenesis of some cases of haemolytic anaemia led to the concept that auto-immune haemolytic anaemia (AIMA) might usefully be classified into warm antibody or cold-antibody types, according to whether the patient is forming (warm) antibodies which react (perhaps optimally) at body temperature or (cold) antibodies which react strongly at low temperatures (e.g. 48C) but progressively less well as the temperature is raised and are perhaps inactive at 37oC. The clinical syndrome suffered by the patient would depend not only on the amount of antibody produced but also on its temperature requirement. Another important advance in understanding has been the realization that both types of AIHA could develop in association with a wide range of underlying disorders (secondary AIHA) as well as `idiopathically’, i.e. for no obvious cause (primary AIHA). The author’s own experience was summarized in a review (Dacie & Worlledge, 1969): 99 out of 210 cases of warm AIHA were judged to be secondary as were 39 out of 85 cases of cold AIHA. Petz & Garratty (1980), summarized the data from six centres: 55% out of a total of 656 cases had been reported as secondary. They listed the disorders with which warm antibody AIHA had been associated as chronic lymphocytic leukaemia, Hodgkin’s disease, non-Hodgkin’s lymphomas, thymomas, multiple myeloma, Waldenstrom’s macroglobulinaemia, systemic lupus erythematosus, scleroderma, rheumatoid arthritis, infectious disease/ childhood viral disorders, hypogammaglobulinaemia, dysglobulinaemias, other immune deficiency syndromes, and ulcerative colitis.

Conley (1981), in an interesting review of warm-antibody AIHA patients seen at the Johns Hopkins Hospital, emphasized how important it was to carry out a careful enquiry into the patient’s past history and also to undertake a prolonged follow-up. He stated that a retrospective review of 33 patients whose illnesses in the past have been designated `idiopathic” had revealed an associated immunologically related disorder in 19 of them. An additional three patients had developed a lymphoma 2±10 years after they had developed AIHA. As already referred to, warm-antibody AIHA is now known to complicate a wide range of underlying diseases, particularly malignant lymphoproliferative disorders, other auto-immune disorders and immune deficiency syndromes. What proportion of patients suffering from a lymphoproliferative disorder develop AIHA is an interesting question. Duehrsen et al (1987) stated that this had occurred in 12 out of 637 patients. Early data on the incidence of a positive DAT in SLE were provided by Harvey et al (1954) – in six out of 34 patients tested the DAT had been positive. Later, Mongan et al (1967), who had studied a large number of patients suffering from a variety of connective tissue disorders, reported that the DAT had been positive in 15 out of 23 patients with SLE, none of whom, however, had suffered from overt haemolytic anaemia. It has also been realized since the 1960s that warm-antibody AIHA may develop in patients suffering from a variety of immune deficiency syndromes, both congenital and acquired.

It was in the mid-1960s that it was realized that, in a significant proportion of patients thought to have `idiopathic’ warm-antibody AIHA, the development of the causal auto-antibodies had been triggered in some way by a drug the patient was taking. The first drug implicated was the antihypertensive drug a-methyldopa (Aldomet) (Carstairs et al, 1966a,b). Following the finding that treating hypertensive patients with a-methyldopa led to the formation of anti-erythrocyte auto-antibodies in a significant percentage of patients, renewed interest was taken in the possibility that other drugs might have the same effect. Two main hypotheses have been advanced in relation to how certain drugs in some patients appear to have caused the development of anti-erythrocyte auto-antibodies. One hypothesis was that the drug or its metabolites act on the immune system so as to impair immune tolerance; the other was that the drug affects antigens at the erythrocyte surface in such a way that a normally active immune system responds by developing anti-erythrocyte antibodies. Clearly, too, the patient’s individuality must be an important factor, for only a proportion of patients receiving the same dosage of the offending drug for the same period of time develop a positive DAT and only a small percentage develop overt AIHA.

An interesting development in the history of the immune haemolytic anaemias was the realization in the mid-1950s that, rather rarely, haemolysis was brought about by the patient developing antibodies that were directed against a drug the patient had been taking and that the erythrocytes were in some way secondarily involved. The first drug to be implicated was Fuadin (stibophen), which had been used to treat a patient with schistosomiasis (Harris, 1954, 1956). The patient’s serum contained an antibody that agglutinated his own or normal erythrocytes and/or sensitized them to agglutination by antiglobulin sera; however, this occurred only in the presence of the drug.

In the late 1940s, several accounts of patients with AIHA who had persistently low platelet counts were published, e.g. Fisher (1947) and Evans & Duane (1949); and it was suggested that the patients might have been forming autoantibodies directed against platelets. This concept was further developed by Evans et al (1951). Eight out of their 18 patients with AIHA were thrombocytopenic; four had clinically obvious purpura. Evans et al (1951) suggested that there exists `a spectrum-like relationship between acquired haemolytic anaemia and thrombocytopenic purpura’; also that `on the one hand, acquired haemolytic anaemia with sensitization of the red cells is often accompanied with thrombocytopenia, while, on the other hand, primary thrombocytopenic purpura is frequently accompanied with red cell sensitization with or without haemolytic anaemia’. Many further case reports of AIHA accompanied by severe thrombocytopenia have since been published

There are two features in the blood film of a patient with an acquired haemolytic anaemia which indicate that he or she is suffering from AIHA; one is auto-agglutination, the other is erythrophagocytosis. Spherocytosis, although often present to a marked degree, is of course found in other types of haemolytic anaemia.

The pioneer French observations on auto-agglutination already referred to were generally overlooked until the late 1930s, and serological studies seem seldom to have been undertaken until the publication of Dameshek & Schwartz’s (1938b) report in which they described the presence of `haemolysins’ in cases of acute apparently acquired haemolytic anaemia. Dameshek & Schwartz (1940) summarized contemporary knowledge in an extensive review. They concluded that it was not improbable that haemolysins of various types and `dosages’ were in fact responsible for many cases of human haemolytic anaemias, including congenital haemolytic anaemia, which they suggested might be caused by the `more or less continued action of an haemolysin’.

Six years were to pass before the concept that an abnormal immune mechanism played a decisive role in some cases of acquired haemolytic anaemia was clearly demonstrated by Boorman et al (1946), who reported that the erythrocytes of five patients with acquired acholuric jaundice had been agglutinated by an antiglobulin serum, i.e. that the newly described antiglobulin reaction or Coombs test (Coombs et al, 1945) was positive, while the test had been negative in 28 patients suffering from congenital acholuric jaundice. This work aroused great interest and was soon confirmed.

Until the 1950s, the auto-antibodies responsible for AIHA were generally concluded to be `non-specific’. According to Wiener et al (1953), `Red cell auto-antibodies react not only with the individual’s own red cells but also with the erythrocytes of all other human beings. The substances on the red blood cell envelope with which the auto-antibodies combine are agglutinogens like the ABO, MN and RhHr systems, except that, in the former case, the blood factors with which the auto-antibodies react are not type specific but are shared by all human beings.’ They suggested that the auto-antibodies might be directed to the `nucleus of the RhHr substance’. Earlier work had, however, indicated that the sensitivity of normal group-compatible erythrocytes to a patient’s auto-antibody might vary considerably (Denys & van den Broucke, 1947; Kuhns & Wagley, 1949). That auto-antibodies might have a clearly defined Rh specificity, e.g. anti-e, was described by Race & Sanger (1954) in the second edition of their book. Referring to Wiener et al (1953), they wrote: `This beautifully clear investigation made the present authors realize that a curious result obtained by one of them (Ruth Sanger) in 1953 in Australia had after all been true; the serum of a man who had died of a haemolytic anaemia 3000 miles away contained anti-e; his cells were clearly CDe-cde’. A similar finding, i.e. an auto-anti-e, was described by Weiner et al (1953).

A further development in the unravelling of a complicated story was the realization that some of the antibodies which appeared to be specific were reacting with more basic antigens, although showing a preference for specific antigens, i.e. some specific auto-antibodies appeared to be less specific than their allo-antibody counterparts. Moreover, some antibodies, reacting with specific antigens, have been shown to be partially or completely absorbable by antigen negative cells.

Many apparently `non-specific’ antidl antibodies have been shown to be not strictly `nonspecific’ but to react with antigens of very high frequency, e.g. to be anti-Wrb, anti-Ena, anti-LW or anti-U. Issitt et al (1980)) listed six additional very common antigens that had been identified as targets for anti-dl auto-antibodies, i.e. Hr, Hro, Rh34, Rh29, Kpb and K13.

In relation to human acquired haemolytic anaemia, the discovery in the late 1940s and 1950s that many cases were apparently brought about by the development of damaging anti-erythrocyte antibodies led to intense interest and speculation into the why and how of auto-antibody formation. Of seminal importance at the time were the experiments and theoretical arguments of Burnet (Burnet & Fenner, 1949; Burnet, 1957, 1959, 1972) and the studies on transplantation immunity of Medawar (Billingham et al, 1953; Medawar, 1961). Of particular interest, too, was the report by Bielschowsky et al (1959) of the occurrence of AIHA in an inbred strain of mice – the NZB/BL strain. Remarkably, by the time the mice were 9-months-old the DAT was positive in almost every mouse. Burnet (1963) referred to the gift of the mice to the Walter and Eliza Hall Institute of Medical Research, Melbourne as `the finest gift the Institute has ever received’.

Exactly how is it that auto-antibodies reacting with an erythrocyte surface antigen result in the cell’s premature destruction? The possible role of auto-agglutination in bringing about haemolysis was emphasized by Castle and colleagues as the result of a series of studies carried out in the 1940s and 1950s. As summarized by Castle et al (1950), an antibody which appears to be incapable of causing `lysis in vitro might bring about the following sequence of events in vivo. (1) Red cell agglutination in the peripheral blood; (2) red cell sequestration and separation from plasma in tissue capillaries; (3) ischaemic injury of tissue cells with release of substances that increase the osmotic and mechanical fragilities of red cells locally; (4) local osmotic lysis of red cells or subsequent escape of mechanically fragile red cells into the blood stream where the traumatic motion of the circulation causes their destruction’.

We can expect, as the years pass, that more and more will be known as to the intricate mechanisms that bring about self-tolerance and the mechanisms underlying the occurrence of auto-immune disorders in general, including the role of infectious agents, drugs and genetic factors. Patients with immune haemolytic anaemias can be expected to benefit from the new knowledge; for in parallel with a better understanding as to how immune self-tolerance breaks down will hopefully be the development of more effective drugs and therapies aimed at controlling the breakdown.

The Immune Haemolytic Anaemias: A Century of Exciting Progress in Understanding.  Sir John Dacie, Emeritus Professor of Haematology.
Brit J Haem 2001; 114: 770-785.

A History of Pernicious Anaemia

This is a review of the ideas and observations that have led to our current understanding of pernicious anaemia (PA). PA is a megaloblastic anaemia (MA) due to atrophy of the mucosa of the body of the stomach which, in turn, is brought about by autoimmune factors.

A case report by Osler & Gardner (1877) in Montreal could be that of PA. This anaemic patient had numbness of the fingers, hands and forearms; the red blood cells were large; at autopsy the gastric mucosa appeared atrophic and the marrow had large numbers of erythroblasts with finely granular nuclei. The increased marrow cellularity had also been noted by Cohnheim (1876).

Ehrlich (1880) (Fig 1) distinguished between cells he termed megaloblasts present in the blood in PA from normoblasts present in anaemia as a result of blood loss. Not only were large red blood cells noted in PA, but irregular red cells, ? poikilocytes, were reported in wet blood preparations by Quincke (1877). Megaloblasts in the marrow during life were first noted by Zadek (1921). Hypersegmented neutrophils in peripheral blood in PA were described by Naegeli (1923) and came to be widely recognized after Cooke’s study (Cooke, 1927). The giant metamyelocytes in the marrow were described by Tempka & Braun (1932).

Paul Ehrlich

Paul Ehrlich

Fig 1. Paul Ehrlich (Wellcome Institute Library, London).

The association between PA and spinal cord lesions was described by Lichtheim (1887) and a full account was published by Russell et al (1900), who coined the term `subacute combined degeneration of the spinal cord’ (SCDC) although they were not convinced of its relation to PA. Arthur Hurst at Guy’s Hospital, London, confirmed the association of the neuropathy with PA and added, too, the association of loss of hydrochloric acid in the gastric juice (Hurst & Bell, 1922). Cabot (1908) found that numbness and tingling of the extremities were present in almost all of his 1200 patients and 10% had ataxia. William Hunter (1901) noted the prevalence of a sore tongue in PA, which was present in 40% of Cabot’s series.

In 1934, the Nobel Prize in medicine and physiology was awarded to Whipple, Minot and Murphy. Was there ever an award more deserved? They saved the lives of their patients and pointed the way forward for further research. What was there in liver that was lacking in patients with PA? The effect of liver in restoring the anaemia in Whipple’s iron-deficient dogs was by supplying iron which is  abundant in liver.

Liver given by mouth also provides Cbl and folic acid. But patients with PA cannot absorb Cbl, although some 1% of an oral dose can cross the intestinal mucosa by passive diffusion; this, presumably, is what happened when large amounts of liver were eaten. Beef liver contains about 110 mg of Cbl per 100 g and about 140 mg of folate per 100 g. Cbl is stable and generally resistant to heat; folate is labile unless preserved with reducing agents. The daily requirement of Cbl by man is l-2 mg. The liver diet, if consumed, had enough of these haematinics to provide a response in most MAs.

George Richard Minot

George Richard Minot

George Richard Minot (Wellcome Institute Library, London).

The availability of liver extracts brought about interest in the nature of the haematological response. An optimal response required a peak rise of reticulocytes 5±7 d after the injection of liver extract and the height of the peak was greatest in those with severe anaemia; the flood of reticulocytes was as a result of a synchronous maturation of a vast number of megaloblasts into red cells. There is a steady rise in the red cell count to reach 3 x 1012/l in the 3rd week (Minot & Castle, 1935). Many liver extracts did not have enough antianaemic factor to achieve this and some assayed by the author had only 1-2 mg of Cbl.  It took another 22 years for a pure antianaemic factor to be isolated, although, admittedly, the Second World War intervened; in 1948, an American group led by Karl Folkers and an English group led by E. Lester-Smith published, within weeks of each other, the isolation of a red crystalline substance termed vitamin B12 and subsequently renamed cobalamin.

The structure of this red crystalline compound was studied by the nature of its degradation products and by X-ray crystallography. It soon became apparent that there was a cobalt atom at the heart of the structure and this heavy atom was of great aid to the crystallographers, so much so that, with additional information from the chemists, they were the first to come up with the complete structure. To quote Dorothy Hodgkin: `To be able to write down a chemical structure very largely from purely crystallographic evidence on the arrangement of atoms in space – and the chemical structure of a quite formidably large molecule at that – is for any crystallographer, something of a dream-like situation’. As Lester-Smith (1965) pointed out, it also required some 10 million calculations. In 1964, Dorothy Hodgkin was awarded the Nobel Prize for chemistry.

Barker et al (1958) published an account of the metabolism of glutamate by a Clostridium. The glutamate underwent an isomerization and an orange-coloured co-enzyme was involved that turned out to be Cbl with a deoxyadenosyl group attached to the cobalt.

This Cbl co-enzyme, deoxyadenosylCbl, is the major form of Cbl in tissues; it is also extremely sensitive to light, being changed rapidly to hydroxoCbl. DeoxyadenosylCbl is concerned with the metabolism of methylmalonic acid in man (Flavin & Ochoa, 1957). The other functional form of Cbl is methylCbl involved in conversion of homocysteine to methionine (Sakami & Welch, 1950). Both these pathways are impaired in PA in relapse.

Cbl consists of a ring of four pyrrole units very similar to that present in haem. These, however, have the cobalt atom in the centre instead of iron and the ring is called the corrin nucleus. The cobalamins have a further structure, a base, termed benzimidazole, set at right angles to the corrin nucleus and this may have a link to the cobalt atom (base on position).

By the time Cbl had been isolated from liver it was already known that it was also present in fermentation flasks growing bacteria such as streptomyces species. Other organisms gave higher yields so that kilogram quantities of pure Cbl were obtained; these sources have replaced liver in the production of Cbl. By adding radioactive form of cobalt to the fermentation flasks instead of ordinary cobalt, labelled Cbl became available (Chaiet et al, 1950). The importance of labelled Cbl is that it made it possible to carry out Cbl absorption tests in patients, to design isotope dilution assays for serum Cbl, to design ways of assaying intrinsic factor (IF), to detect antibodies to IF and even to measure glomerular filtratration rate, as free Cbl is excreted by the glomerulus without any reabsorption by the renal tubules.

William Castle at the Thorndike Memorial Laboratory, Boston City Hospital, devised experiments to explore the relationship between gastric juice, the anti-anaemic factor that Castle assumed, correctly, was also present in beef, and the response in PA. The question Castle asked was `Was it possible that the stomach of the normal person could derive something from ordinary food that for him was equivalent to eating liver?’.

The experiment in untreated patients with PA consisted of two consecutive periods of 10 d or more during which daily reticulocyte counts were made. During the first period of 10 d, the PA patient received 200 g of lean beef muscle (steak) each day. There was no reticulocyte response. During the second period, the contents of the stomach of a healthy man were recovered 1 h after the ingestion of 300 g of steak; about 100 g could not be recovered. The gastric contents were incubated for a few hours until liquefied and then given to the PA patient through a tube. This was done daily. On day 6 there was a rise in reticulocytes reaching a peak on day 10, followed by a rise in the red cell count. The response was similar to that obtained with large amounts of oral liver.

Thus, Castle concluded that a reaction was taking place between an unknown intrinsic factor (IF) in the gastric juice and an unknown extrinsic factor in beef muscle. Whereas Minot & Murphy (1926) found that 200-300 g of liver daily was needed to get a response in PA, 10 g liver was adequate when incubated with 10-20 ml normal gastric juice (Reiman & Fritsch, 1934). Castle’s extrinsic factor is the same as the anti-anaemic factor that is Cbl, and IF is needed for its absorption. Presumably the gastric juice in PA lacks IF.

The elegant studies of Hoedemaeker et al (1964) in Holland using autoradiography of frozen sections of human stomach incubated with [57Co]-Cbl showed that IF was produced in the gastric parietal cell. The binding of Cbl to

the parietal cell was abolished by first incubating the section with a serum containing antibodies to IF. The parietal cell in man is thus the source of both hydrochloric acid and IF. The parietal cell is the only source of IF in man as a total gastrectomy is invariably followed by a MA due to Cbl deficiency. IF is a glycoprotein with a molecular weight of 45 000.

Assay of protein fractions of serum after electrophoresis showed that endogenous Cbl is in the position of α-1 globulin. Chromatography of serum after addition of [57Co]-Cbl on Sephadex G-200 showed that Cbl was attached to two proteins, one eluting before the albumin termed transcobalamin I (TCI) and the other after the albumin termed transcobalamin II (TCII). Charles Hall showed that, when labelled Cbl given by mouth is absorbed, it first appears in the position of TCII and later in the position of TCI as well (Hall and Finkler, l965). They concluded that TCII is the prime Cbl transport protein carrying Cbl from the gut into the blood and then to the liver from where it is redistributed by both new TCII as well as TCI. Congenital absence of a functional TCII causes a severe MA in the first few months of life owing to an inability to transport Cbl. Most of the Cbl in serum is on TCI because it has a relatively long half-life of 9±10 d, whereas the half-life of TCII is about 1.5 h. Thus, in assaying the serum Cbl level, it is mainly TCI-Cbl that is being assayed.

With the availability of labelled Cbl, Cbl absorption tests began to be widely used in the 1950s. The commonest method was the urinary excretion test described by Schilling (1953). Here, an oral dose of radioactive Cbl is followed by an injection of 1000 mg of cyano-Cbl. The free cyano-Cbl is largely excreted into the urine over the next 24 h and carries with it about one third of the absorbed labelled Cbl.

Parietal cell antibodies (Taylor et al, 1962) are present in serum in 76-93% of different series of PAs and in the serum of 36% of the relatives of PA patients. The antibody is present in sera from 32% of patients with myxoedema, 28% of patients with Graves’ disease, 20% of relatives of thyroid patients and 23% of patients with Addison’s disease. Parietal cell antibodies are found in between 2-16% of controls, the high 16% figure being in elderly women. There is a higher frequency of PA in women, the female to male ratio being 1.7 to 1.0. The parietal cell antibody is probably important in the production of gastric atrophy. Thyroid antibodies are present in sera from 55% of PAs, in sera from 50% of PA relatives, in 87% of sera from myxoedema patients, in 53% of sera in Graves’ disease and in 46% of relatives of patients with thyroid disease.

There is a high frequency of PA among those disorders that have antibodies against the target organ. Thus, among 286 patients with myxoedema, 9.0% also had PA (Chanarin, 1979), as compared with a frequency of PA of about 1 per 1000 (0.01%) in the general population. Of 102 consecutive patients with vitiligo,
eight also had PA.

Patients with acquired hypogammaglobulinaemia are unable to make humoral antibodies; nevertheless, one third have PA as well. This cannot be as a result of action of IF antibodies and must be because of specific cell-mediated immunity. Tai & McGuigan (1969) demonstrated lymphocyte transformation in the presence of IF in six out of 16 PA patients and Chanarin & James (1974) found 10 out of 51 tests were positive.

Twenty-five patients with PA were tested for the presence of humoral IF antibody in serum and gastric juice and for cell-mediated immunity against IF. All but one gave positive results in one or more tests. It was concluded that these findings establish the autoimmune nature of PA and that the immunity is not merely an interesting byproduct.

Patients with PA treated with steroids show a reversal of the abnormal findings characterizing the disease. If they are still megaloblastic, the anaemia will respond in the first instance (Doig et al, 1957), but in the longer term Cbl neuropathy may be precipitated. The absorption of Cbl improves and may become `normal’ (Frost & Goldwein, 1958). There is a return of IF in the gastric juice (Kristensen and Friis, 1960) and a decline in the amount of IF antibody in serum (Taylor, 1959). In some patients there is return of acid in the gastric juice. Gastric biopsy shows a return of parietal and chief cells (Ardeman & Chanarin, 1965b; Jeffries, 1965). All this is as a result of suppression of cell-mediated immunity against the parietal cell and against IF. Withdrawal of steroids leads to a slow return to the status quo.

The author has dipped freely into the two volumes by the late M. M. Wintrobe. These are: Wintrobe, M.M. (1985) Hematology, the Blossoming of a Science. Lea & Febinge

A History of Pernicious Anaemia
I. Chanarin, Richmond, Surrey
Brit J Haem 111: 407-415
History of Folic Acid

1928 Lucy Wills studied macrocytic anaemia in pregnancy in Bombay, India

1932 Janet Vaughn studied macrocytic anemia associated with coeliac disease and idiopathic steatorrhea (1932) showed a response to marmite

1941 Folic acid extracted from spinach and is a growth factor for S. Faecalis

1941 pteroylglutamic acid synthesized at Amer Cyanamide – Pteridine ring, paraminobenzoic acid, glutamine –  PGA differed from natural compound in some respects

1945 PGA resolved the macrocytic anemia, but not the neuropathy

1979 Stokstad and associates at Berkeley obtained the first purified mammalian enzymes involved in synthesis

Folate antagonists inhibit tumor growth (Hitchings and Elion)(Nobel)

  • Misincorporation of uracil instead of thymine into DNA

Sidney Farber introduced Aminopterine and also Methotrexate for treatment of childhood lymphoblastic leukemia

  • MTX inhibits DHFR enzyme (dihydrofolate reductase) necessary for THF

Wellcome introduces trimethoprim (antibacterial), and also pyramethoprime (antimalarial)

Homocysteine isolated by Du Vineaud, but it was not noticed

Finkelstein and Mudd demonstrated the importance of remethylation for tHy and worked out the transsulfuration pathway

  1. Function of methyl THF is remethylation of homocysteine
  2. Synthesized by MTHFR
Metabolism of folate

Metabolism of folate

Metabolism of folate

Allosterically regulated by S-adenosyl methionine (Stokstad)

MTHF also inhibits glycine methyl transferase controlling excess SAM – transmethylation

JD Finkelstein

JD Finkelstein

James D Finkelstein

  • Homocysteinuria – mental retardation, skeletal malformation, thromboembolic disease; deficiency of cystathionine synthase (controls trans-sulfuration)
  • NTDs – pregnancy
  • Hyperhomocysteinemia and VD

AD Hoffbrand and DG Weir
Brit J Haem 2001; 113: 579-589

The History of Haemophilia in the Royal Families of Europe Queen Victoria.

On 17 July 1998 a historic ceremony of mourning and commemoration took place in the ancestral church of the Peter and Paul Fortress in St Petersburg. President Boris Yeltsin, in a dramatic eleventh-hour change of heart, decided to represent his country when the bones of the last emperor, Tsar Nicholas II, and his family were laid to rest 80 years to the day after their assassination in Yekaterinberg (Binyon, 1998). He described it as ‘ironic that the Orthodox Church, for so long the bedrock of the people’s faith, should find it difficult to give this blessing the country had expected’. ‘I have studied the results of DNA testing carried out in England and abroad and am convinced that the remains are those of the Tsar and his family’ (The Times, 1998a). Unfortunately, politicians and the hierarchy of the Russian Orthodox Church had argued about what to do with the bones previously stored in plastic bags in a provincial city mortuary. Politics, ecclesiastical intrigue, secular ambition, and emotions had fuelled the debate. Yeltsin and the Church wanted to honour a man many consider to be a saint, but many of the older generation are opposed to the rehabilitation of a family which symbolizes the old autocracy.

Our story starts, almost inevitably, with Queen Victoria of England who had nine children by Albert, Prince of Saxe-Coburg-Gotha. Victoria was certainly an obligate carrier for haemophilia as over 20 individuals subsequently inherited the condition (Figs 1 and 2). Princess Alice (1843–78) was Victoria’s third child and second daughter. Having married the Duke of Hesse at an early age, Alice went on to have seven children, one of whom, Frederick (‘Frittie’) was a haemophiliac who died at the age of 3 following a fall from a window.

Prince Leopold with Sir William Jenner at Balmoral in 1877

Prince Leopold with Sir William Jenner at Balmoral in 1877

Prince Leopold with Sir William Jenner at Balmoral in 1877. (Hulton Deutsch Collection Ltd.)

Alexandra was the sixth child and was only 6 years old when her mother and youngest sister died. ‘Sunny’, as she became known, was a favourite of Queen Victoria, who as far as possible directed her upbringing from across the channel: Alexandra (Alix) was forced to eat her baked apples and rice pudding with the same regularity as her English cousins. Alix visited her older sister Elizabeth (Ella) on her marriage to Grand Duke Serge and met Tsarevich Nicholas for the first time: she was 12 and not impressed. Five years later they met again and Alix fell in love, but by now she had been confirmed in the Lutheran Church and religion became the solemn core of her life.

Victoria had other aspirations for Alix. She hoped that she would marry her grandson Albert Victor (The Duke of Clarence) and the eldest son of the Prince of Wales (later Edward VII). The Duke was an unimpressive young man who was somewhat deaf and had limited intellectual abilities. If this arrangement had proceeded then Alix’s haemophilia carrier status would have been introduced into the British Royal Family and the possibility of a British monarch with haemophilia might have become a reality; however, the Duke died in 1892.

Nicholas and Alexandra. Alix and Nicholas were married in 1894 one week after the death of Nicholas’s father (Alexander III). In the same way that Victoria, with her personal aspirations of a marriage between Alix and the Duke of Clarence, had not considered the possibility of haemophilia, neither did the St Petersburg hierarchy consider a marriage to Nicholas undesirable. Haemophilia was already well recognized in Victoria’s descendants. Her youngest son, Leopold, had already died, as had Frittie her grandson. The inheritance of haemophilia had been known for some time since its description by John Conrad Otto (Otto, 1803). However, it was as late as 1913 before the first royal marriage was declined because of the risk of haemophilia, when the Queen of Rumania decided against an association between her son, Crown Prince Ferdinand, and Olga, the eldest daughter of Nicholas and Alexandra. The Queen of Rumania was herself a granddaughter of Queen Victoria and therefore a potential haemophilia carrier!

Alix was received into the Russian Orthodox Church, taking the name of Alexandra Fedorova. The first duty of a Tsarina was to maintain the dynasty and produce a male heir, but between 1895 and 1901 Alix produced four princesses, Olga, Tatiana, Maria and Anastasia. Failure to produce a son made Alix increasingly neurotic and she had at least one false pregnancy. However, in early 1904 she was definitely pregnant.

For a month or so all seemed well with little Alexis, but it was then noticed that the Tsarevitch was bleeding excessively from the umbilicus (a relatively uncommon feature of haemophilia). At first the diagnosis was not admitted by the parents, but eventually the truth had to be faced although even then only by the doctors and immediate family. Alix was grief stricken: ‘she hardly knew a day’s happiness after she realized her boy’s fate’. As a newly diagnosed haemophilia carrier she dwelt morbidly on the fact that she had transmitted the disease. These feelings are well known to some haemophiliac mothers but the situation was different in Russia in the early twentieth century. The people regarded any defect as divine intervention. The Tsar, as head of the Church and leader of the people, must be free of any physical defect, so the Tsarevich’s haemophilia was concealed. The family retreated into greater isolation and were increasingly dominated by the young heir’s affliction (Fig 3).

Up to a third of haemophiliac males do not have a family history of the condition. This is usually thought to be the result of a relatively high mutation rate occurring in either affected males or female carriers. None of Queen Victoria’s ancestors, for many generations, showed any evidence of haemophilia. Victoria was therefore either a victim of a mutation, or the Duke of Kent was not her father.The mutation is unlikely to have been in her mother, Victoire, who had a son and daughter by her first marriage, and there is no sign of haemophilia in their numerous descendants.

Victoire was under considerable pressure to produce an heir. The year before Victoria was born, Princess Charlotte, the only close heir to the throne, had died and the Duke of Kent had somewhat reluctantly agreed to marry Victoire with the aim of producing an heir. The postulate that the Queen’s gardener had a limp has not been substantiated!

The Duke of Kent had no evidence of haemophilia (he was 51 when Victoria was born) but did inherit another condition from his father (George III): porphyria. While a young man in Gibralter he suffered bilious attacks which were recognized as being similar to his father’s complaint.

Had Queen Victoria carried the gene for porphyria we might expect that she would have at least as many descendants with this condition as had haemophilia. Until recently only two possible cases of porphyria have been suggested amongst Victoria’s descendants: Kaiser Wilhelm’s sister and niece (MacAlpine & Hunter, 1969), but they could have inherited it from their Hohenzollern ancestor, Frederick the Great. A recent television programme (Secret History, 1998) claims to have identified two more cases in Victoria’s descendants, Princess Victoria, the Queen’s eldest daughter, and Prince William of Gloucester, nephew of George V. If these two cases are correct then they would tend to confirm that Victoria was indeed the daughter of the Duke of Kent, but the apparent lack of more cases in Victoria’s extended family is difficult to understand. The gene for acute intermittent porphyria has been isolated on chromosome 11. There is still plenty of scope for further genetic analysis on the European Royal Families!

We can only speculate as to the impact on European events over the last 150 years if the marriages within the Royal houses had been different. What is evident is the dramatic effect of haemophilia on the Royal Princes and their families.

Empress Alexandra at the Tsarevich’s bedside during a haemophiliac crisis

Empress Alexandra at the Tsarevich’s bedside during a haemophiliac crisis

Empress Alexandra at the Tsarevich’s bedside during a haemophiliac crisis in 1912. (Radio Times Hulton Picture Library.)

Richard F. Stevens
Royal Manchester Children’s Hospital
Brit J Haem 1999, 105, 25–32

`The longer you can look back ± the further you can look forward’: Winston Churchill in an address to The Royal College of Physicians, London 1944. At the time that Churchill was speaking in 1944, leukaemia was a fatal disease that had been identified 100 years before. The disease was described as the dreaded leukaemias, sinister and poorly understood.

Thomas Hodgkin chose a career in medicine and enrolled as a pupil at Guy’s Hospital in London. Being a Quaker, however, he could not enter the English universities of Oxford and Cambridge and decided to follow the medical courses at Edinburgh. At that times, Aristotelian and Hippocratic medicine were greatly influencing British physicians. Hodgkin, still a medical student, wrote a paper `On the Uses of the Spleen’ where he reported his beliefs on the purposes of the spleen: to regulate fluid volume, clean impurities from the body, supply expandability to the portal system. The subject was a presage of the disease that bears his name.

Hodgkin interrupted his studies at Edinburgh to spend a year in Paris where he met many people who had a great influence in his life and future activities. Among them, were Laennec (Hodgkin played an important role in bringing the stethoscope to Great Britain); Baron von Humboldt who introduced Hodgkin to the field of anthropology; Baron Cuvier, a distinguished anatomist and palaeontologist; and Thomas A. Bowditch, whose expeditions to Africa had a great impact on Hodgkin’s future activities.

In 1825, Thomas Hodgkin returned to London to join the staff at Guy’s Hospital, and in 1826 he was made `Inspector of the Dead’ and `Curator of the Museum of Morbid Anatomy’. In developing the museum he had accumulated, by 1829, over 1600 specimens demonstrating the effects of disease. The correlation of clinical disease to pathological material was quite new: from analyses of pathological specimens Hodgkin was able to describe appendicitis with perforation and peritonitis, the local spread of cancer to draining lymph nodes, noting that the tumour had similar characteristics at both sides, and features of other diseases.

In his historic paper `On Some Morbid Appearances of the Absorbent Glands and Spleen’ (Hodgkin, 1832), he briefly described the clinical histories and gross postmortem findings on six patients from the experience at Guy’s Hospital and included another case sent to him in a detailed drawing by his friend Carswell (Fig 2). In the very first paragraph he wrote: `The morbid alterations of structure which I am about to describe are probably familiar to many practical morbid anatomists, since they can scarcely have failed to have fallen under their observation in the course of cadaveric inspection’. Hodgkin’s studies had convinced him that he was dealing with a primary disease of the absorbent (lymphatic) glands. `This enlargement of the glands appeared to be a primitive affection of those bodies, rather than the result of an irritation propagated to them from some ulcerated surface or other inflamed texture – Unless the word inflammation be allowed to have a more indefinite and loose eaning, this affection – can hardly be attributed to that cause’ was stated on pages 85 and 86 of his 1832 paper. Hodgkin also mentioned that the first reference that he could find to this or similar disease was in fact by Malpighi in 1666.

Wilks (1865) described the disease in detail and, made aware by Bright that the first observations were done by Hodgkin, linked his name permanently to this new entity in a paper entitled `Cases of Enlargement of the Lymphatic Glands and Spleen (or Hodgkin’s Disease) with Remarks’ (Fig 3).

In 1837 Thomas Hodgkin was the outstanding candidate for the position of Assistant Physician at Guy’s Hospital in succession to Thomas Addison who had been promoted to Physician. After 10 years spent as Inspector of the Dead, he had published a great deal, including a two-volume work entitled The Morbid Anatomy of Serous and Mucous Membrane.

Hodgkin, acting in his other capacity, had sent Benjamin Harrison a report on the terrible consequences to native Indians of monopoly trading and on the inhuman treatment they received from officials of the Hudson Bay Company, of which Harrison was the financier. when the opportunity to appoint an Assistant Physician occurred, Harrison exercised an autocratic rule over the hospital and presided at the appointment made by the General Court. Thomas Hodgkin did not get the job and the next day he resigned all his appointments at Guy’s Hospital. Social medicine, medical problems associated with poverty, antislavery, concern for underpriviledged groups such as American Indians and Africans, as well as a strong sense of responsibility defined his life after this separation.

Sternberg (1898) and Reed (1902) are generally credited with the first definitive and thorough descriptions of the histopathology of Hodgkin’s disease. Based on the findings observed in her case series, Dorothy Reed concluded `We believe then, from the descriptions in the literature and the findings in 8 cases examined, that Hodgkin’s disease has a peculiar and typical histological picture and could thus rightly be considered a histopathological disease entity’.

During the successive decades, pathologists began to describe a broader spectrum of histological features. However, it was Jackson and Parker who, in scientific papers and in their well-known book Hodgkin’s Disease and Allied Disorders (Jackson & Parker, 1947), presented the first serious effort at a histopathological classification. They assigned the name `Hodgkin’s granuloma’ to the main body of typical cases. A much more malignant variant, usually characterized by a great abundance of pleomorphic and anaplastic Reed-Sternberg cells and seen in a relativelysmall number of cases was named `Hodgkin’s sarcoma’. A third, similarly infrequent, variant characterized by an extremely slow clinical evolution, a relative paucity of Reed-Sternberg cells and a great abundance of lymphocytes was termed `Hodgkin’s paragranuloma’. It was only approximately 20 years later that Lukes & Butler (1966) reported a characteristic subtype of the heterogeneous `granuloma’ category, to which they assigned the name `nodular sclerosis’. They also proposed a new histopathological classification, still in use to date, with an appreciably greater prognostic relevance and usefulness than the

previous Jackson-Parker classification.

The first human bone marrow transfusion was given to a patient with aplastic anemia in 1939.9 This patient received daily blood transfusions, and an attempt to raise her leukocyte and platelet counts was made using intravenous injection of bone marrow. After World War II and the use of the atomic bomb, researchers tried to find ways to restore the bone marrow function in aplasia caused by radiation exposure. In the 1950s, it was proven in a mouse model that marrow aplasia secondary to radiation can be overcome by syngeneic marrow graft.10 In 1956, Barnes and colleagues published their experiment on two groups of mice with acute leukemia: both groups were irradiated as anti-leukemic therapy and both were salvaged from marrow aplasia by bone marrow transplantation.

The topics of leukemias and lymphomas will not be discussed further in  this discussion.

The related references are:

Leukaemia – A Brief Historical Review from Ancient Times to 1950
British Journal of Haematology, 2001, 112, 282-292

The Story of Chronic Myeloid Leukaemia
British Journal of Haematology, 2000, 110, 2-11

Historical Review of Lymphomas
British Journal of Haematology 2000, 109, 466-476

Historical Review of Hodgkin’s Disease
British Journal of Haematology, 2000, 110, 504-511

Multiple Myeloma: an Odyssey of Discovery
British Journal of Haematology, 2000, 111, 1035-1044

The History of Blood Transfusion
British Journal of Haematology, 2000, 110, 758-767

Hematopoietic Stem Cell Transplantation—50 Years of Evolution and Future Perspectives. Henig I, Zuckerman T.
Rambam Maimonides Med J 2014;5 (4):e0028.
http://dx.doi.org/10.5041/RMMJ.10162

Landmarks in the history of blood transfusion.

1666 Richard Lower (Oxford) conducts experiments involving transfusion of blood from one animal to another

1667 Jean Denis (Paris) transfuses blood from animals to humans

1818 James Blundell (London) is credited with being the first person to transfuse blood from one human to another

1901 Karl Landsteiner (Vienna) discovers ABO blood groups. Awarded Nobel Prize for Medicine in 1930

1908 Alexis Carrel (New York) develops a surgical technique for transfusion, involving anastomosis of vein in the recipient with artery in the donor. Awarded Nobel Prize for Medicine in 1912

1915 Richard Lewinsohn (New York) develops 0.2% sodium citrate as anticoagulant

1921 The first blood donor service in the world was established in London by Percy Oliver

1937 Blood bank established in a Chicago hospital by Bernard Fantus

1940 Landsteiner and Wiener (New York) identify Rhesus antigens in man

1940 Edwin Cohn (Boston) develops a method for fractionation of plasma proteins. The following year, albumin produced by this method was used for the first time to treat victims of the Japanese attack on Pearl Harbour

1945 Antiglobulin test devised by Coombs (Cambridge), which also facilitated identification of several other antigenic systems such as Kell (Coombs et al, 1946), Duffy (Cutbush et al, 1950) and Kidd (Cutbush et al, 1950)

1948 National Blood Transfusion Service (NBTS) established in the UK

1951 Edwin Cohn (Boston) and colleagues develop the first blood cell separator

1964 Judith Pool (Palo Alto, California) develops cryoprecipitate for the treatment of haemophilia

1966 Cyril Clarke (Liverpool) reports the use of anti-Rh antibody to prevent haemolytic disease of the newborn

Read Full Post »

Outline of Medical Discoveries between 1880 and 1980

Curator: Larry H Bernstein, MD, FCAP

This is the first of a two part series tracing the developments in medical diagnosis and treatment, and herein, tracing the scientific events of the 19th century that accelerated and created the emergent events that brought together physics, organic and physical chemistry, electronics, computational biology.

Part I. Anatomy and Physiology

The first Nobel Prize in Physiology was awarded to Ivan Pavlov for work on digestion in 1904.  The presentation speech refers to the groundbreaking work of Vesalius and Harvey in his presentation address, citing their passionate pursuit of knowledge.  He credits the work of a young American physician, William Beaumont, who served as the only doctor on Michigan’s Mackinac Island in the French and Indian war in 1822, and who observed the gastric secretion from the gastric fistula of a wounded soldier. (see John Karlawish, Open Wound, University of Michigan Press, 2011). This was the basis for the work by Pavlov on dogs that extends our understanding of the telationship of the central nervous system to the digestive processes.

The Nobel Prize in Physiology or Medicine 1906 was awarded jointly to Camillo Golgi and Santiago Ramón y Cajal “in recognition of their work on the structure of the nervous system”. Golgi first opened the field of neuroanatomy with the silver staining method, and Cajal contributed equally to establishing the foundation for this research of great complexity.

The Nobel Prize in Physiology or Medicine 1909 was awarded to Emil Theodor Kocher for his work on the physiology, pathology, and surgery  of the thyroid gland. It had already been established that the enlargement of the thyroid compresses the trachea, and that complete removal has morbid effects. It was expressed by Kocher in 1883 that removal of the thyroid as a consequence of surgery must leave behind a functioning portion of the gland.

This was later followed by the establishment of a great medical institution Dr. William Worrall Mayo, a frontier doctor, and his two sons, Dr. William J. Mayo and Dr. Charles H. Mayo, Mayo Clinic.

The elder Dr. Mayo emigrated from his native England to the United States in 1846. He became a doctor in 1850. In 1863 he was appointed a surgeon for the enrollment board in southern Minnesota, to examine recruits for the Union Army, and settled in Rochester, Minn. His dedication to medicine became a family tradition when his sons, Drs. William James Mayo and Charles Horace Mayo, joined his practice in 1883 and 1888, respectively.

In 1883, a tornado swept through Rochester leaving in its wake many deaths and injuries. Temporary hospital quarters were set up in offices and hotels. Nuns from the Sisters of St. Francis, a teaching order, were recruited as nurses. The experience inspired Mother Alfred Moes to request that the Drs. Mayo join with the Sisters to build the first general hospital in southeastern Minnesota. The 27-bed Saint Mary’s Hospital opened in 1889 as a result of this partnership.

mayo-brothers

mayo-brothers

As the demand for their services increased, they asked other doctors and basic science researchers to join them in the world’s first private integrated group practice. In 1919, the Mayo brothers dissolved their partnership and turned the clinic’s name and assets, including the bulk of their life savings, to a private, not-for-profit, charitable organization now known as Mayo Foundation. It is worth noting that the Mayo Clinic became a favored place to have thyroid surgery, as its location is in the “goiter belt”.

Patients discovered the advantages to a “pooled resource” of knowledge and skills among doctors. In fact, the group practice concept that the Mayo family originated has influenced the structure and function of medical practice throughout the world.

The Nobel Prize in Physiology or Medicine 1912 was awarded to Alexis Carrel “in recognition of his work on vascular suture and the transplantation of blood vessels and organs”. He demonstrated the technique used to suture together open vessels, and even to transplant whole organs from one animal to another with excellent results.

The Nobel Prize in Physiology or Medicine 1920 was awarded to August Krogh “for his discovery of the capillary motor regulating mechanism”.  Harvey had shown in 1628 that the blood traverses the circulation returning to the heart in one minute. Malpighi showed that blood passes from the artery to the vein by capillaries  in 1661.  Krogh demonstrated by very elegant experiments that the quantity of gas that diffuses across the pulmonary alveoli is the same amount of gas that is released to the alveolar space. The importance of this is that the investigations having the aim to determine the process by which the oxygen requirement of the tissues is satisfied.

The Nobel Prize in Physiology or Medicine 1922 was divided equally between Archibald Vivian Hill “for his discovery relating to the production of heat in the muscle” and Otto Fritz Meyerhof “for his discovery of the fixed relationship between the consumption of oxygen and the metabolism of lactic acid in the muscle”. One need not be a physiologist to recognize that muscular activity is essentially bound up with the development of heat, or even with combustion. AV Hill determined the time relationships of heat production in muscle contraction measured galvanometrically, and Otto Meyerhof determined the oxygen consumption in the production of lactic acid. The muscle is regarded as a machine that converts chemical energy to mechanical energy (tension) with the production of heat. The development of heat entirely fails to appear if the supply of oxygen to the muscle is cut off, while the development of heat during the actual twitch, is independent of the presence of oxygen (consistent with Meyerhof’s glycolysis). The relaxation phase is consistent with oxygen uptake during recovery.

Fletcher and Hopkins had shown earlier that muscle not only forms, but also uses lactic acid in the presence of oxygen. Meyerhof determined by parallel determination of the lactic acid metabolism and the oxygen consumption during the recovery of the muscle, which yielded the result that the oxygen consumption does not account for more than1/3 – 1/4 of the lactic acid formed. When lactic
acid is formed an equivalent amount of glycogen in muscle disappears, and when lactic acid disappears, the quantity of
carbohydrate increases by the difference between lactic acid and quantity used in oxygen consumption.

The Nobel Prize in Physiology or Medicine 1923 was awarded jointly to Frederick Grant Banting and John James Rickard
Macleod “for the discovery of insulin”.  In 1857, Claude Bernard discovered that the liver contains glycogen, which converted to glucose, enters the blood stream (and thereby, the urine). Glycosuria became a starting point for the study of diabetes. It is of interest that he could not produce glycosuria by ligation of the pancreatic duct. But in 1889 Mering and Minkowsky did an operation on dogs that removed the pancreas, resulting in glycosuria, and creating a disease comparable to diabetes in humans. If part of the pancreas was left behind, it failed to produce diabetes. Brown-Sequard had called attention to ductless organs in the 1880s that are glands. These were
endocrine glands secreting hormones. Langerhans had shown in 1869 that the pancreas has glands that have no secretion into the pancreatic ducts, and in the beginning of the 1890s Languese surmised that these glands were involved in diabetes mellitus. Schulze and Ssobolev had shown that ligation of the duct resulted in atrophy of the pancreas sparing the islets. Frederick Banting at this time postulated that trypsin degraded the hormone, and with Best and Collip, under MacLeod’s guidance, Banting pursued his idea, and the effective extract was obtained in 1921, and demonstrated in 1922.

Arch Anat Histol Embryol. 1993-1994;75:151-82.

[History of histology in Strasbourg].

Le Minor JM.

Since the cellular theory was formulated in 1839, the University of Strasbourg has held a pioneer place in histology. This new morphological science has had, since its origin, close relations with physiology, and from 1846 to 1871, an original histophysiological school was organized in Strasbourg. The microscope and the study of tissues were considered as a fundamental approach for the progress of biological and medical knowledge. After the German annexation of Alsace, the scientists from this school participated in the renewal of histology in Nancy, Montpellier, and Paris. In 1872, when the new German university was created, an anatomical institute regrouped all aspects of normal morphology: anatomy, histology, and embryology. This was the case until 1918. In 1919, when the Faculty of Medicine was reorganized after Alsace was restored to France, a specific chair and institute of histology were created. This was the beginning of a school of histophysiology which was internationally renowned in the rise of experimental endocrinology. Great discoveries followed one after another: folliculin in 1924 and demonstration of the duality of ovarian hormones, the prominent place of the anterior part of the hypophysis and the demonstration of prolactin in 1928, thyreostimulin in 1929, then study of the other stimulins. In 1946 a chair and institute of medical biology were created. In 1948, a service of electron microscopy was opened.
P. Bouin (1870-1962), M. Aron (1892-1974), J. Benoit (1896-1982), R. Courrier (1895-1986) et M. Klein (1905-1975), were among the famous scientists who worked in histology in Strasbourg in the
period after the French restoration.
The Nobel Prize in Physiology or Medicine 1947

Bernardo Alberto Houssay

“for his discovery of the part played by the hormone of the anterior pituitary lobe in the metabolism of sugar”

He had already begun studying medicine and, in 1907, before completing his studies, he took up a post in the Department of Physiology. He began here his research on the hypophysis which resulted in his M.D.-thesis (1911), a thesis which earned him a University prize.

In 1919 he became Professor of Physiology in the Medical School at Buenos Aires University. He also organized the Institute of Physiology at the Medical School, making it a center with an international reputation. He remained Professor and Director of the Institute until 1943.  He made a lifelong study of the hypophysis and his most important discovery concerns the role of the anterior lobe of the hypophysis in carbohydrate metabolism and the onset of diabetes.

The Nobel Prize in Physiology or Medicine 1950

Edward Calvin Kendall, Tadeus Reichstein and Philip Showalter Hench

“for their discoveries relating to the hormones of the adrenal cortex, their structure and biological effects”

As late as in 1854 the German anatomist, Kölliker, was able to claim in a review of the subject that although the function of the adrenals was still unknown, yet in certain respects great advances had been made. Two quite different parts were now distinguished, an outer part, a fairly firm cortex, and an inner, softer medulla. Kölliker classified the adrenal cortices as ductless glands, which we now call the endocrine organs.

Thomas Addison, the English doctor, observed a rare disease with a fatal course, which was characterized chiefly by anemia, general weakness and fatigue, disturbances in the digestive apparatus, enfeebled heart activity and a peculiar dark pigmentation of the skin. He published a paper 1n 1855, suggesting that this morbid picture made its appearance in persons the greater part of whose adrenals was destroyed. Subsequent experiments in animals showed that removal of the adrenals led to speedy death, the symptoms recalling those known from Addison’s disease.

In 1894 Oliver and Schäfer proved that the injection of a watery extract from the adrenals had extremely pronounced effects. Within a few years adrenaline had been produced from the extract, its composition had been ascertained, and its artificial production accomplished. The more detailed analysis showed effects of the same kind as those resulting on increased activity of the so-called sympathetic nervous system, which innervates internal organs such as the heart and vessels, the intestinal canal, etc.  Attempts to prevent by means of adrenaline the deficiency symptoms following on the removal of the adrenals failed completely. The explanation of this was given when Biedl and others showed that it is the cortex which is of vital importance, not the medulla.

The isolation of the cortin proved to be a difficult task, calling for the combined efforts of a number of research workers. Particularly important contributions were made in this field by Wintersteiner and Pfiffner, and also by Edward Kendall at the Mayo Clinic in Rochester, and Tadeus Reichstein in Basel, and their co-workers. As early as in 1934, Kendall and his group succeeded in preparing from cortex extract what was at first assumed to be pure cortin in crystalline form. They found that it contained carbon, hydrogen, and oxygen, and indicated its empirical formula. But that was only a beginning. There was no reason to suspect that the cortin was not homogeneous; as further experiments proved. In reality Kendall and his co-workers had produced a mixture of different substances closely related to one another, and their work represents the early steps in the crystallization of a whole series of cortin substances. There is at least one active cortical substance – the best known of them all, first named Compound E and now called cortisone or cortone – which was isolated at four different laboratories, among them Kendall’s and Reichstein’s.

As all the cortin substances are closely related to one another, Reichstein’s finding implies that, like the sex hormones, they belong to the large and important group of steroids. The D vitamins and the bile acids, like our most important heart remedies, the active substances in Digitalis leaves and Strophanthus seeds, are also intimately associated with the steroids

The six definitely active cortical hormones are characterized, inter alia, by a double bond in the steroid skeleton; if this double bond disappears, inactive substances are obtained. They differ very inconsiderably from each other chemically. They are built up of 21 carbon atoms, but the number of oxygen atoms in the molecule is three, four, or five. The position of the additional oxygen atoms in the molecule was first established by Reichstein and Kendall, and thus a way was opened for semisynthetic production e.g. from the more easily obtainable bile acids or material from a certain species of Strophanthus. This is of particular importance, since the yield from the adrenals is very poor, at most about 1:1,000,000.

Thanks to the work of Kendall and his school, it has emerged that the comparatively inconsiderable dissimilarities in the matter of the structure of the cortical hormones are accompanied by material differences in respect of the effect. Thus some act especially strongly on the metabolism of sugar, others on the salt and fluid balances, and there are also several other differences. This was illustrated when Compound E was first tested. Pfiffner and Wintersteiner, like the Reichstein group, found that the substance had no, or extremely inconsiderable, life-prolonging effects on animals deprived of the adrenals. On the other hand, Ingle, Kendall’s coworker, observed that it stimulated the muscular work of such animals very strongly.

In the April of 1949, Hench, Kendall, Slocumb and Polley published their experiences in respect of the dramatic effects of cortisone in cases of chronic rheumatoid arthritis. A rapid improvement set in, pains and tenderness in the joints abated or disappeared, mobility increased, so that patients who had previously been complete invalids could walk about freely, and their general condition was also favourably affected. Similar results were obtained with a preparation from the anterior lobe of the pituitary, the so-called ACTH (Adreno-Cortico-Tropic Hormone), which, as the name indicates, stimulates the adrenal cortex to increased activity.

The value of a discovery lies not only in the immediate practical results, but equally much in the fact that it points out new lines of research. This is strikingly illustrated by the research during the last few decades into the cortical hormones, which has already led to unexpected and important new results within widely different spheres.

Nobel Prize in Physiology or Medicine 1966

Charles Huggins

Endocrine-Induced Regression of Cancers

The net increment of mass of a cancer is a function of the interaction of the tumor and its soil. Self-control of cancers results from a highly advantageous competition of host with his tumor. There are multiple factors which restrain cancer – enzymatic, nutritional, immunologic, the genotype and others.Prominent among them is the endocrine status, both of tumor and host – the subjects of this discourse.

The second quarter of our century found the biological sciences much pre-occupied with two noble topics :

  • chemistry and physiology of steroids and
  • biochemistry of organo-phosphorus compounds.

The key to the puzzle of the steroid hormones in cancer was the isolation of crystalline estrone by Doisy et al.2 from extracts of urine of pregnant women. In the phosphorus field there were magnificent findings of hexose phosphates, nucleotides, coenzymes and high-energy phosphate intermediates. These wonderful discoveries provided the Zeitgeist for our work.

Through the portal of phosphorus metabolism we entered on a series of interconnected observations in steroid endocrinology. A program was not prepared in advance for this basic physiologic study. The work was fascinating and informative so that it provided its own momentum and served as an end in itself.

The prostatic cell does not die in the absence of testosterone, it merely shrivels. But the hormone-dependent cancer cell is entirely different. It grows in the presence of supporting hormones but it dies in their absence and for this reason it cannot participate in growth cycles.

A remarkable effect of testosterone is the promotion of growth of its target cells during complete deprival of food. Androstane derivatives conferred on the prostate of puppies a selective nutritional advantage during starvation of 3 weeks whereby abundant growth of this gland-occurred while there was serious cell breakdown in most of the tissues of the body.

At first it was vexatious to encounter a dog with a prostatic tumor during a metabolic study but before long such dogs were sought. It was soon observed that orchiectomy or the administration of restricted amounts of phenolic estrogens caused a rapid shrinkage of canine prostatic tumors.

The experiments on canine neoplasia proved relevant to human prostate cancer; there had been no earlier reports indicating any relationship of hormones to this malignant growth.

Kutscher and Wolbergs9 discovered that acid phosphatase is rich in concentration in the prostate of adult human males. Gutman and Gutman10 found that many patients with metastatic prostate cancer have significant increases of acid phosphatase in their blood serum. Cancer of the prostate frequently metastasizes to bone.

Human prostate cancer which had metastasized to bone was studied at first. The activities of acid and alkaline phosphatases in the blood were measured concurrently at frequent intervals. The methods are reproducible and not costly in time or materials; both enzymes were measured in duplicate in a small quantity (0.5 ml) of serum. The level of acid phosphatase indicated activity of the disseminated cancer cells in all metastatic loci. The titer of alkaline phosphatase revealed the function of the osteoblasts as influenced by the presence of the prostatic cancer cells that were their near neighbors. By periodic measurement of the two enzymes one obtains a view of overall activity of the cancer and the reaction of non-malignant cells of the host to the presence of that cancer. Thereby the great but opposing influences of, respectively, the administration or deprival of androgenic hormones upon prostate cancer cells were revealed with precision and simplicity. Orchiectomy or the administration of phenolic estrogens resulted in regression of cancer of the human prostate whereas, in untreated cases, testosterone enhanced the rate of growth of the neoplasm.

The first indication that advanced cancer can be induced to regress was the beneficial effect of oöphorectomy on cancer of the breast of two women. This empirical observation17 of Beatson in 1896 was remarkable since it was made before the concept of hormones had been developed. The beneficial action of removal of ovaries was not understood until steroid hormones had been isolated 4 decades later.

But why does breast cancer thrive in folks who do not possess ovarian function – in men, old women, and females who have had oöphorectomy?

Farrow and Adair observed that benefits of great magnitude frequently follow orchiectomy in mammary cancer in the human male. Thereby, they established that testis function can sustain mammary cancer.

A half century after the classic invention of Beatson it was found out that adrenal function can maintain and promote growth of human mammary cancer. The adrenal factor supporting growth of cancer was identified when it was shown that bilateral adrenalectomy (with glucocorticoids as substitution therapy) can result in profound and prolonged regression of mammary carcinoma in men and women who do not possess gonadal function. In developing the idea of adrenalectomy for treatment of advanced cancer in man we were considerably influenced by the discovery of Woolley et al. that adrenals can evoke cancer of the breast in the mouse.

Mammary cancers induced in the male rat by aromatics were not influenced by orchiectomy and hypophysectomy; by definition, these neoplasms are hormone-independent. In contrast to male rat, most mammary cancers of men wither impressively after deprival of supporting hormones.

The hormone-responsiveness of established mammary cancers induced in female rat by aromatics or ionizing radiation is identical; it was a newly recognized property of experimental breast cancers. Prior to this finding, clinical study of patients with mammary cancer was the only material available for investigation of hormonal-restraint of neoplasms of the breast.

In female rat, many but far from all of the induced mammary cancers vanished after removal of ovaries or the pituitary. In our experiments hypophysectomy was the most efficient of all methods to cure rat’s mammary cancer.

Malignant cells which succumb to hormone-deprival, by definition, are hormone-dependent. The quality of hormone-dependence resides in the tumor cells whereas their growth is determined by the host’s endocrine status.

Both man and the animals can have some of their cancer cells which are hormone-dependent while other neoplastic cells in the same organism are not endocrine-responsive.

The cure of a cancer after hormone-deprival results from death of the cancer cells whereas their normal analogues in the same animal shrivel but survive. It is a basic proposition in endocrine-restraint of malignant disease that cancer cells can differ in a crucial way from ancestral normal cells in response to modification of the hormonal milieu intérieur of the body.

Cancer is not necessarily autonomous and intrinsically self-perpetuating. Its growth can be sustained and propagated by hormonal function in the host which is not unusual in kind or exaggerated in rate but which is operating at normal or even subnormal levels.

The control of cancer by endocrine methods can be described in three propositions:

  • Some types of cancer cells differ in a cardinal way from the cells from which they arose in their response to change in their hormonal environment.
  • Certain cancers are hormone-dependent and these cells die when supporting hormones are eliminated.
  • Certain cancers succumb when large amounts of hormones are administered.

The Nobel Prize in Physiology or Medicine 1971

Earl W. Sutherland, Jr.

“for his discoveries concerning the mechanisms of the action of hormones”

Part II. Vitamins

The Nobel Prize in Physiology or Medicine 1929

Christiaan Eijkman “for his discovery of the antineuritic vitamin”

Sir Frederick Gowland Hopkins “for his discovery of the growth-stimulating vitamins”

When the 20th century began, the prevailing thought about nutrition rested on the importance of energy requirements, as elucidated by  Rubner, Benedict and others, in the United States, that entails the quantitative measurement of the food value of carbohydrates, fats, and proteins. But there was a misconception of the process in its detail. The quantitative studies of the energetics and of respiratory exchange were not sufficient to explain problems that arise as a result of deficiencies of micronutrients in food intake.  The complexity of these nutritional needs as we now view them is indeed astonishing.

There is a need for indispensable organic substances specific in nature and function of which the quantitative supply is so small as to contribute little or nothing to the energy factor in nutrition. These substances, following the suggestion of Casimir Funk, we have agreed to call vitamins.

In 1881, Lunin, and associate of Bungel noted that a diet of milk was not sufficient to sustain the life of mice, even if the caloric nutrients were adequate. The main lesson taken from the findings was concerned with inorganic nutrients had not been determined that would answer the question. A decade later, Socin, in Bunge’s group, concluded that the deficiency was in the quality of protein.  In an important paper by Professor Pekelharing in 1905 published an astonishing paper following on the work in Bungel’s lab. He noted that there is a substance in milk in small quantities that he was unable to identify that is essential for life.  It is noteworthy that Pekelharing records prolonged endeavours towards the isolation of a vitamin.

Eikman’s work came in the 1880s. He did not at first visualize beriberi clearly as a deficiency disease. The view that the cortical substance in rice supplied a need rather than neutralized a poison was soon after put forward by Grijns and ultimately accepted by Professor Eijkman himself.  The prevailing thinking about nutritional requirements was preoccupied by the methods of calorimetry at the turn of the century.  The idea of “deficiency diseases” was obscured as a result. There was no concept of an indispensable portion of the food supply other than calories, proteins and minerals until 1911-1912.  Hopkins was convinced that the science of nutrition had to come to terms with an explanation for scurvy and rickets, and he needed to use the new science of biochemistry, which was ongoing at Cambridge.

In 1906-1907, he carried out studies of feeding rats casein, along the lines of Bungel.s experiments, and he found variability in the results with different casein preparations.  He next washed the casein so that any soluble substance was extracted and the rats died, but if he added the extract they grew.  He also used butter, with results more favorable than casein, and lard, with unfavorable results.  At the same time he was studying polyneuritis in birds, which took up much time.  He know that he had to extract the substance, but was unaware of the fat solubility in 1910. He published his work in 1912. Soon after the publication of his work, and duting WWI, much research was done in US, by Osborn and Mendel at Harvard, and by McCollum at Johns Hopkins, and the vitamins were separated into “water soluble” and “fat soluble”.

The Nobel Prize in Physiology or Medicine 1937

Albert von Szent-Györgyi Nagyrápolt

“for his discoveries in connection with the biological combustion processes, with special reference to vitamin C and the catalysis of fumaric acid”

http://pharmaceuticalintelligence.com/2014/08/18/studies-of-respiration-lead-to-acetyl-coa/

Szent Gyorgyi was a biochemist who worked with Otto Warburg and others, and had a special interest in muscle metabolism. He delineated a portion of the Krebs cycle (Krebs was also associated with Warburg), that which involves the conversion of fumaric acid to succinate.  He also purified vitamin C (ascorbic acid) from paprika in his native region of Hungary. He later turned his interest to cancer research, for which he was honored by the MD Anderson Cancer Center.

The Nobel Prize in Physiology or Medicine 1934

George Hoyt Whipple, George Richards Minot and William Parry Murphy

“for their discoveries concerning liver therapy in cases of anaemia”

The Nobel Prize in Physiology or Medicine 1943

Henrik Carl Peter Dam “for his discovery of vitamin K”

Edward Adelbert Doisy “for his discovery of the chemical nature of vitamin K”

To further his studies of the metabolism of sterols, Dam obtained a Rockefeller Fellowship and worked in Rudolph Schoenheimer’s Laboratory in Freiburg, Germany, during 1932-1933, and later worked with P. Karrer, of Zurich, in 1935. He discovered vitamin K while studying the sterol metabolism of chicks in Copenhagen. When he returned to Denmark after WWII in 1946, Dam’s main research subjects were vitamin K, vitamin E, fats, cholesterol.

Part III.  Microbiology and Plague

The Nobel Prize in Physiology or Medicine 1901

Emil Adolf von Behring

“for his work on serum therapy, especially its application against diphtheria, by which he has opened a new road in the domain of medical science and thereby placed in the hands of the physician a victorious weapon against illness and deaths”

The Nobel Prize in Physiology or Medicine 1902

Ronald Ross

“for his work on malaria, by which he has shown how it enters the organism and thereby has laid the foundation for successful research on this disease and methods of combating it”

The Nobel Prize in Physiology or Medicine 1905

Robert Koch

“for his investigations and discoveries in relation to tuberculosis”

The Nobel Prize in Physiology or Medicine 1908

The Nobel Prize in Physiology or Medicine 1928

Charles Jules Henri Nicolle

“for his work on typhus”

The Nobel Prize in Physiology or Medicine 1939

Gerhard Domagk

“for the discovery of the antibacterial effects of prontosil”

The Nobel Prize in Physiology or Medicine 1945

Sir Alexander Fleming, Ernst Boris Chain and Sir Howard Walter Florey

“for the discovery of penicillin and its curative effect in various infectious diseases”

The Nobel Prize in Physiology or Medicine 1951

Max Theiler

“for his discoveries concerning yellow fever and how to combat it”

The Nobel Prize in Physiology or Medicine 1952

Selman Abraham Waksman

“for his discovery of streptomycin, the first antibiotic effective against tuberculosis”

The Nobel Prize in Physiology or Medicine 1954

John Franklin Enders, Thomas Huckle Weller and Frederick Chapman Robbins

“for their discovery of the ability of poliomyelitis viruses to grow in cultures of various types of tissue”

The Nobel Prize in Physiology or Medicine 1976

Baruch S. Blumberg and D. Carleton Gajdusek

“for their discoveries concerning new mechanisms for the origin and dissemination of infectious diseases”

Part IV.

Ilya Ilyich Mechnikov and Paul Ehrlich

“in recognition of their work on immunity”

The Nobel Prize in Physiology or Medicine 1919

Jules Bordet

“for his discoveries relating to immunity”

The Nobel Prize in Physiology or Medicine 1930 was awarded to Karl Landsteiner “for his discovery of human blood groups”.

In 1901, in the course of his serological studies Landsteiner observed that when, under normal physiological conditions, blood serum of a human was added to normal blood of another human the red corpuscles in some cases coalesced into larger or smaller clusters. This observation of Landsteiner was the starting-point of his discovery of the human blood groups. In the following year, i.e. 1901, Landsteiner published his discovery that in man, blood types could be classified into three groups according to their different agglutinating properties. These agglutinating properties were identified more closely by two specific blood-cell structures, which can occur either singly or simultaneously in the same individual.

Landsteiner’s discovery of the blood groups was immediately confirmed but it was a long time before anyone began to realize the great importance of the discovery. The first incentive to pay greater attention to this discovery was provided by von Dungern and Hirszfeld when in 1910 they published their investigations into the hereditary transmission of blood groups. Thereafter the blood groups became the subject of exhaustive studies, on a scale increasing year by year, in more or less all civilized countries. In order to avoid, in the publication of research on this subject, detailed descriptions which would otherwise be necessary – of the four blood groups and their appropriate cell structures, certain short designations for the blood groups and corresponding specific cell structures have been introduced. Thus, one of the two specific cell structures, characterizing the agglutinating properties of human blood is designated by the letter A and another by B, and accordingly we speak of «blood group A» and «blood group B». These two cell structures can also occur simultaneously in the same individual, and this structure as well as the corresponding blood group is described as AB.

The fourth blood-cell structure and the corresponding blood group is known as O, which is intended to indicate that people belonging to this group lack the specific blood characteristics typical of each of the other blood groups. Landsteiner had shown that under normal physiological conditions the blood serum will not agglutinate the erythrocytes of the same individual or those of other individuals with the same structure. Thus, the blood serum of people whose erythrocytes have group structure A will not agglutinate erythrocytes of this structure but it will agglutinate those of group structure B, and where the erythrocytes have group structure B the corresponding serum does not agglutinate these erythrocytes but it does agglutinate those with group structure A. Blood serum of persons whose erythrocytes have structures A as well as B, i.e. who have structure AB, does not agglutinate erythrocytes having structures A, B, or AB. Blood serum of persons belonging to blood group O agglutinates erythrocytes of persons belonging to any of the group.

The group characteristics are handed down in accordance with Mendel’s laws. The characteristics of blood groups A, B, and AB are dominant, and opposing these dominant characteristics are the recessive ones which characterize blood group O. An individual cannot belong to blood group A, B, or AB, unless the specific characteristics of these groups are present in the parents, whereas the recessive characteristics of blood group O can occur if the parents belong to any one of the four groups. If both parents belong to group O, then the children never have the characteristics of A, B, or AB. The children must then likewise belong to blood group O. If one of the parents belongs to group A and the other to group B, then the child may belong to group A or B or it may possess both characteristics and therefore belong to group AB. If one of the parents belongs to group AB and the other to group O, then in accordance with Mendel’s law of segregation the AB characteristic can be segregated and the components can occur as separate characteristics in the children.

Even while he was a student he had begun to do biochemical research and in 1891 he published a paper on the influence of diet on the composition of blood ash. To gain further knowledge of chemistry he spent the next five years in the laboratories of Hantzsch at Zurich, Emil Fischer at Wurzburg, and E. Bamberger at Munich.

In 1896 he became an assistant under Max von Gruber in the Hygiene Institute at Vienna. Even at this time he was interested in the mechanisms of immunity and in the nature of antibodies. From 1898 till 1908 he held the post of assistant in the University Department of Pathological Anatomy in Vienna, the Head of which was Professor A. Weichselbaum, who had discovered the bacterial cause of meningitis, and with Fraenckel had discovered the pneumococcus. Here Landsteiner worked on morbid physiology rather than on morbid anatomy. In this he was encouraged by Weichselbaum, in spite of the criticism of others in this Institute.

Up to the year 1919, after twenty years of work on pathological anatomy, Landsteiner with a number of collaborators had published many papers on his findings in morbid anatomy and on immunology. He discovered new facts about the immunology of syphilis, added to the knowledge of the Wassermann reaction, and discovered the immunological factors which he named haptens (it then became clear that the active substances in the extracts of normal organs used in this reaction were, in fact, haptens). He made fundamental contributions to our knowledge of paroxysmal haemoglobinuria.

He also showed that the cause of poliomyelitis could be transmitted to monkeys by injecting into them material prepared by grinding up the spinal cords of children who had died from this disease, and, lacking in Vienna monkeys for further experiments, he went to the Pasteur Institute in Paris, where monkeys were available. His work there, together with that independently done by Flexner and Lewis, laid the foundations of our knowledge of the cause and immunology of poliomyelitis.

http://www.nobelprize.org/nobel_prizes/medicine/laureates/1930/landsteiner-bio.html

His discovery of the differences and identification of the groups that were alike made it possible for blood transfusions to become a routine procedure.  This paved the way for many other medical procedures that we don’t even think twice about today, such as surgery, blood banks, and transplants.

While in medical school, Landsteiner began experimental work in chemistry, as he was greatly inspired by Ernst Ludwig, one of his professors. After receiving his medical degree, Landsteiner spent the next five years doing advanced research in organic chemistry for Emil Fischer, although medicine remained his chief interest. During 1886-1897, he combined these interests at the Institute of Hygiene at the University of Vienna where he researched immunology and serology. These fields were developing rapidly in the late 1800s as scientists explored numerous physiological changes associated with bacterial infection. Immunology and serology then became Landsteiner’s lifelong focus. Landsteiner was primarily interested in the lack of safety and effectiveness of blood transfusions.

Landsteiner is known as the “melancholy genius” because he was so sad and intense, yet he was so systematic, thorough, and dedicated. He wrote 346 papers during his long career contributing to many areas of scientific knowledge. He is considered the father of Hematology (the study of blood), Immunology (the study of the immune system), Polio research, and Allergy research.

The fundamental contribution of Robert A. Good to the discovery of the crucial role of thymus in mammalian immunity

Domenico Ribatti

Immunology. Nov 2006; 119(3): 291–295.

http://dx.doi.org:/10.1111/j.1365-2567.2006.02484.x

Robert Alan Good was a pioneer in the field of immunodeficiency diseases. He and his colleagues defined the cellular basis and functional consequences of many of the inherited immunodeficiency diseases. His was one of the groups that discovered the pivotal role of the thymus in the immune system development and defined the separate development of the thymus-dependent and bursa-dependent lymphoid cell lineages and their responsibilities in cell-mediated and humoral immunity.

Keywords: bursa of Fabricius, history of medicine, immunology, thymus

Robert A. Good (Fig. 1) began his intellectual and experimental queries related to the thymus in 1952 at the University of Minnesota, initially with paediatric patients. However, his interest in the plasma cell, antibodies and the immune response began in 1944, while still in Medical School at the University of Minnesota in Minneapolis, with his first publication appearing in 1945.

Robert Good

Robert Good

Figure 1

Robert A. Good with two young patients. Source: http://www.robertagoodarchives.com.

Good described a new syndrome that would carry his name: ‘Good syndrome: thymoma with immunodeficiency’.7 The clinical characteristics of Good syndrome are increased susceptibility to bacterial infections by encapsulated organisms and opportunistic viral and fungal infections. Subsequently, Good saw several patients with thymic tumours, which regularly presented with immunodeficiencies, leukopenia, lymphopenia and eosinophylopenia. Plasma cells, however, were not completely absent: the patient was severely hypogammaglobulinaemic rather than agammaglobulinaemic.

The association of thymoma with profound and broadly based immunodeficiency provoked Good’s group to ask what role the thymus plays in immunity.

Good and others found that the patients lacked all of the subsequently described immunoglobulins. These patients were found not to have plasma cells or germinal centres in their haematopoietic and lymphoid tissues. They possessed circulating lymphocytes in normal numbers.

In the mouse and other rodents, immunological depression is profound after thymectomy in neonatal animals, resulting in considerable depression of antibody production, plus deficient transplantation immunity and delayed-type hypersensitivity. Speculation on the reason for immunological failure following neonatal thymectomy has centred on the thymus as a source of cells or humoral factors essential to normal lymphoid development and immunological maturation.

Three independent groups of experiments showed that neonatal thymectomy has a significant effect on immunological reactivity: (i) the studies of Fichtelius et al. in young guinea-pigs showed that the depression of antibody response is slight, but significant; (ii) the experiments of Archer, Good and co-workers in rabbits and mice; and (iii) the studies by Miller at the Chester Beatty Research Institute in London.

Stutman, in Good’s laboratory, demonstrated that non-lymphoid thymomas induced the restoration of immunological functions in neonatally thymectomized mice and that when thymomas were grafted into allogenic hosts, immunological restoration was mediated by lymphoid cells of host type. Comparable results were obtained with free thymus grafts.

Cooper et al. postulated that a lymphoid stem cell population exists that is induced to differentiate along two distinct and separate cell lines related to two central lymphoid organs. In birds this developmental influence is exercised by the thymus and the bursa of Fabricius. Removal of one or both in the early post-hatching period has strikingly different influences on immunological function in the maturing animals. The thymus in the chicken functions exactly as does the thymus of the mouse. It represents the site of differentiation of a population of lymphocytes that subserve largely the functions of cell-mediated immunity.

The athymic children described by Di George, who lacked lymphoid cells in the deep cortical areas of the nodes but not at the peripheral areas, seemed the equivalent of the neonatally thymectomized mice and chickens. These patients had severe deficiencies of small T lymhocytes and profound deficiencies of all cell-mediated immunities, including delayed allergies, deficient allograft immunities and deficiencies in resistance to viruses, fungi and opportunistic infections.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1819567/

The Nobel Prize in Physiology or Medicine 1960

Sir Frank Macfarlane Burnet and Peter Brian Medawar

“for discovery of acquired immunological tolerance”

The Nobel Prize in Physiology or Medicine 1980

Baruj Benacerraf, Jean Dausset and George D. Snell

“for their discoveries concerning genetically determined structures on the cell surface that regulate immunological reactions”

Part V.

Biochemistry and Molecular Biology

The Nobel Prize in Physiology or Medicine 1922

Archibald Vivian Hill

“for his discovery relating to the production of heat in the muscle”

Otto Fritz Meyerhof

“for his discovery of the fixed relationship between the consumption of oxygen and the metabolism of lactic acid in the muscle”

The Nobel Prize in Physiology or Medicine 1931

Otto Heinrich Warburg

“for his discovery of the nature and mode of action of the respiratory enzyme”

http://pharmaceuticalintelligence.com/2012/11/02/otto-warburg-a-giant-of-modern-cellular-biology/

http://pharmaceuticalintelligence.com/2013/11/28/warburg-effect-revisited/

http://pharmaceuticalintelligence.com/2013/03/12/ampk-is-a-negative-regulator-of-the-warburg-effect-and-suppresses-tumor-growth-in-vivo/

http://pharmaceuticalintelligence.com/2012/10/17/is-the-warburg-effect-the-cause-or-the-effect-of-cancer-a-21st-century-view/

The Nobel Prize in Physiology or Medicine 1933

Thomas Hunt Morgan

“for his discoveries concerning the role played by the chromosome in heredity”

The Nobel Prize in Physiology or Medicine 1947

Carl Ferdinand Cori and Gerty Theresa Cori, née Radnitz

“for their discovery of the course of the catalytic conversion of glycogen”

The Nobel Prize in Physiology or Medicine 1953

Hans Adolf Krebs

“for his discovery of the citric acid cycle”

http://pharmaceuticalintelligence.com/2014/10/22/introduction-to-metabolic-pathways/

Fritz Albert Lipmann

“for his discovery of co-enzyme A and its importance for intermediary metabolism”

http://pharmaceuticalintelligence.com/2014/10/22/introduction-to-metabolic-pathways/

http://pharmaceuticalintelligence.com/2014/11/07/summary-of-cell-structure-anatomic-correlates-of-metabolic-function-2/

http://pharmaceuticalintelligence.com/2014/08/18/studies-of-respiration-lead-to-acetyl-coa/

http://pharmaceuticalintelligence.com/2013/01/26/portrait-of-a-great-scientist-and-mentor-nathan-oram-kaplan/

The Nobel Prize in Physiology or Medicine 1955

Axel Hugo Theodor Theorell

“for his discoveries concerning the nature and mode of action of oxidation enzymes”

http://pharmaceuticalintelligence.com/2014/08/18/studies-of-respiration-lead-to-acetyl-coa/

The Nobel Prize in Physiology or Medicine 1958

George Wells Beadle and Edward Lawrie Tatum

“for their discovery that genes act by regulating definite chemical events”

The Nobel Prize in Physiology or Medicine 1959

Severo Ochoa and Arthur Kornberg

“for their discovery of the mechanisms in the biological synthesis of ribonucleic acid and deoxyribonucleic acid”

Joshua Lederberg

“for his discoveries concerning genetic recombination and the organization of the genetic material of bacteria”

The Nobel Prize in Physiology or Medicine 1962

Francis Harry Compton Crick, James Dewey Watson and Maurice Hugh Frederick Wilkins

“for their discoveries concerning the molecular structure of nucleic acids and its significance for information transfer in living material”

The Nobel Prize in Physiology or Medicine 1963

Sir John Carew Eccles, Alan Lloyd Hodgkin and Andrew Fielding Huxley

“for their discoveries concerning the ionic mechanisms involved in excitation and inhibition in the peripheral and central portions of the nerve cell membrane”

The Nobel Prize in Physiology or Medicine 1964

Konrad Bloch and Feodor Lynen

“for their discoveries concerning the mechanism and regulation of the cholesterol and fatty acid metabolism”
http://pharmaceuticalintelligence.com/2014/10/25/oxidation-and-synthesis-of-fatty-acids/

The Nobel Prize in Physiology or Medicine 1965

François Jacob, André Lwoff and Jacques Monod

“for their discoveries concerning genetic control of enzyme and virus synthesis”

http://pharmaceuticalintelligence.com/2014/10/06/isoenzymes-in-cell-metabolic-pathways/

The Nobel Prize in Physiology or Medicine 1967

Ragnar Granit, Haldan Keffer Hartline and George Wald

“for their discoveries concerning the primary physiological and chemical visual processes in the eye”

The Nobel Prize in Physiology or Medicine 1968

Robert W. Holley, Har Gobind Khorana and Marshall W. Nirenberg

“for their interpretation of the genetic code and its function in protein synthesis”

The Nobel Prize in Physiology or Medicine 1969

Max Delbrück, Alfred D. Hershey and Salvador E. Luria

“for their discoveries concerning the replication mechanism and the genetic structure of viruses”

The Nobel Prize in Physiology or Medicine 1970

Sir Bernard Katz, Ulf von Euler and Julius Axelrod

“for their discoveries concerning the humoral transmittors in the nerve terminals and the mechanism for their storage, release and inactivation”

The Nobel Prize in Physiology or Medicine 1972

Gerald M. Edelman and Rodney R. Porter

“for their discoveries concerning the chemical structure of antibodies”

The Nobel Prize in Physiology or Medicine 1974

Albert Claude, Christian de Duve and George E. Palade

“for their discoveries concerning the structural and functional organization of the cell”

The Nobel Prize in Physiology or Medicine 1975

David Baltimore, Renato Dulbecco and Howard Martin Temin

“for their discoveries concerning the interaction between tumour viruses and the genetic material of the cell”
The Nobel Prize in Physiology or Medicine 1977

Rosalyn Yalow

“for the development of radioimmunoassays of peptide hormones”

The Nobel Prize in Physiology or Medicine 1978

Werner Arber, Daniel Nathans and Hamilton O. Smith

“for the discovery of restriction enzymes and their application to problems of molecular genetics”

Read Full Post »

Summary and Perspectives: Impairments in Pathological States: Endocrine Disorders, Stress Hypermetabolism and Cancer

Summary and Perspectives: Impairments in Pathological States: Endocrine Disorders, Stress Hypermetabolism and Cancer

Author and Curator: Larry H. Bernstein, MD, FCAP

Article ID #160: Summary and Perspectives: Impairments in Pathological States: Endocrine Disorders, Stress Hypermetabolism and Cancer. Published on 11/9/2014

WordCloud Image Produced by Adam Tubman

This summary is the last of a series on the impact of transcriptomics, proteomics, and metabolomics on disease investigation, and the sorting and integration of genomic signatures and metabolic signatures to explain phenotypic relationships in variability and individuality of response to disease expression and how this leads to  pharmaceutical discovery and personalized medicine.  We have unquestionably better tools at our disposal than has ever existed in the history of mankind, and an enormous knowledge-base that has to be accessed.  I shall conclude here these discussions with the powerful contribution to and current knowledge pertaining to biochemistry, metabolism, protein-interactions, signaling, and the application of the -OMICS to diseases and drug discovery at this time.

The Ever-Transcendent Cell

Deriving physiologic first principles By John S. Torday | The Scientist Nov 1, 2014
http://www.the-scientist.com/?articles.view/articleNo/41282/title/The-Ever-Transcendent-Cell/

Both the developmental and phylogenetic histories of an organism describe the evolution of physiology—the complex of metabolic pathways that govern the function of an organism as a whole. The necessity of establishing and maintaining homeostatic mechanisms began at the cellular level, with the very first cells, and homeostasis provides the underlying selection pressure fueling evolution.

While the events leading to the formation of the first functioning cell are debatable, a critical one was certainly the formation of simple lipid-enclosed vesicles, which provided a protected space for the evolution of metabolic pathways. Protocells evolved from a common ancestor that experienced environmental stresses early in the history of cellular development, such as acidic ocean conditions and low atmospheric oxygen levels, which shaped the evolution of metabolism.

The reduction of evolution to cell biology may answer the perennially unresolved question of why organisms return to their unicellular origins during the life cycle.

As primitive protocells evolved to form prokaryotes and, much later, eukaryotes, changes to the cell membrane occurred that were critical to the maintenance of chemiosmosis, the generation of bioenergy through the partitioning of ions. The incorporation of cholesterol into the plasma membrane surrounding primitive eukaryotic cells marked the beginning of their differentiation from prokaryotes. Cholesterol imparted more fluidity to eukaryotic cell membranes, enhancing functionality by increasing motility and endocytosis. Membrane deformability also allowed for increased gas exchange.

Acidification of the oceans by atmospheric carbon dioxide generated high intracellular calcium ion concentrations in primitive aquatic eukaryotes, which had to be lowered to prevent toxic effects, namely the aggregation of nucleotides, proteins, and lipids. The early cells achieved this by the evolution of calcium channels composed of cholesterol embedded within the cell’s plasma membrane, and of internal membranes, such as that of the endoplasmic reticulum, peroxisomes, and other cytoplasmic organelles, which hosted intracellular chemiosmosis and helped regulate calcium.

As eukaryotes thrived, they experienced increasingly competitive pressure for metabolic efficiency. Engulfed bacteria, assimilated as mitochondria, provided more bioenergy. As the evolution of eukaryotic organisms progressed, metabolic cooperation evolved, perhaps to enable competition with biofilm-forming, quorum-sensing prokaryotes. The subsequent appearance of multicellular eukaryotes expressing cellular growth factors and their respective receptors facilitated cell-cell signaling, forming the basis for an explosion of multicellular eukaryote evolution, culminating in the metazoans.

Casting a cellular perspective on evolution highlights the integration of genotype and phenotype. Starting from the protocell membrane, the functional homolog for all complex metazoan organs, it offers a way of experimentally determining the role of genes that fostered evolution based on the ontogeny and phylogeny of cellular processes that can be traced back, in some cases, to our last universal common ancestor.  ….

As eukaryotes thrived, they experienced increasingly competitive pressure for metabolic efficiency. Engulfed bacteria, assimilated as mitochondria, provided more bioenergy. As the evolution of eukaryotic organisms progressed, metabolic cooperation evolved, perhaps to enable competition with biofilm-forming, quorum-sensing prokaryotes. The subsequent appearance of multicellular eukaryotes expressing cellular growth factors and their respective receptors facilitated cell-cell signaling, forming the basis for an explosion of multicellular eukaryote evolution, culminating in the metazoans.

Casting a cellular perspective on evolution highlights the integration of genotype and phenotype. Starting from the protocell membrane, the functional homolog for all complex metazoan organs, it offers a way of experimentally determining the role of genes that fostered evolution based on the ontogeny and phylogeny of cellular processes that can be traced back, in some cases, to our last universal common ancestor.

Given that the unicellular toolkit is complete with all the traits necessary for forming multicellular organisms (Science, 301:361-63, 2003), it is distinctly possible that metazoans are merely permutations of the unicellular body plan. That scenario would clarify a lot of puzzling biology: molecular commonalities between the skin, lung, gut, and brain that affect physiology and pathophysiology exist because the cell membranes of unicellular organisms perform the equivalents of these tissue functions, and the existence of pleiotropy—one gene affecting many phenotypes—may be a consequence of the common unicellular source for all complex biologic traits.  …

The cell-molecular homeostatic model for evolution and stability addresses how the external environment generates homeostasis developmentally at the cellular level. It also determines homeostatic set points in adaptation to the environment through specific effectors, such as growth factors and their receptors, second messengers, inflammatory mediators, crossover mutations, and gene duplications. This is a highly mechanistic, heritable, plastic process that lends itself to understanding evolution at the cellular, tissue, organ, system, and population levels, mediated by physiologically linked mechanisms throughout, without having to invoke random, chance mechanisms to bridge different scales of evolutionary change. In other words, it is an integrated mechanism that can often be traced all the way back to its unicellular origins.

The switch from swim bladder to lung as vertebrates moved from water to land is proof of principle that stress-induced evolution in metazoans can be understood from changes at the cellular level.

http://www.the-scientist.com/Nov2014/TE_21.jpg

A MECHANISTIC BASIS FOR LUNG DEVELOPMENT: Stress from periodic atmospheric hypoxia (1) during vertebrate adaptation to land enhances positive selection of the stretch-regulated parathyroid hormone-related protein (PTHrP) in the pituitary and adrenal glands. In the pituitary (2), PTHrP signaling upregulates the release of adrenocorticotropic hormone (ACTH) (3), which stimulates the release of glucocorticoids (GC) by the adrenal gland (4). In the adrenal gland, PTHrP signaling also stimulates glucocorticoid production of adrenaline (5), which in turn affects the secretion of lung surfactant, the distension of alveoli, and the perfusion of alveolar capillaries (6). PTHrP signaling integrates the inflation and deflation of the alveoli with surfactant production and capillary perfusion.  THE SCIENTIST STAFF

From a cell-cell signaling perspective, two critical duplications in genes coding for cell-surface receptors occurred during this period of water-to-land transition—in the stretch-regulated parathyroid hormone-related protein (PTHrP) receptor gene and the β adrenergic (βA) receptor gene. These gene duplications can be disassembled by following their effects on vertebrate physiology backwards over phylogeny. PTHrP signaling is necessary for traits specifically relevant to land adaptation: calcification of bone, skin barrier formation, and the inflation and distention of lung alveoli. Microvascular shear stress in PTHrP-expressing organs such as bone, skin, kidney, and lung would have favored duplication of the PTHrP receptor, since sheer stress generates radical oxygen species (ROS) known to have this effect and PTHrP is a potent vasodilator, acting as an epistatic balancing selection for this constraint.

Positive selection for PTHrP signaling also evolved in the pituitary and adrenal cortex (see figure on this page), stimulating the secretion of ACTH and corticoids, respectively, in response to the stress of land adaptation. This cascade amplified adrenaline production by the adrenal medulla, since corticoids passing through it enzymatically stimulate adrenaline synthesis. Positive selection for this functional trait may have resulted from hypoxic stress that arose during global episodes of atmospheric hypoxia over geologic time. Since hypoxia is the most potent physiologic stressor, such transient oxygen deficiencies would have been acutely alleviated by increasing adrenaline levels, which would have stimulated alveolar surfactant production, increasing gas exchange by facilitating the distension of the alveoli. Over time, increased alveolar distension would have generated more alveoli by stimulating PTHrP secretion, impelling evolution of the alveolar bed of the lung.

This scenario similarly explains βA receptor gene duplication, since increased density of the βA receptor within the alveolar walls was necessary for relieving another constraint during the evolution of the lung in adaptation to land: the bottleneck created by the existence of a common mechanism for blood pressure control in both the lung alveoli and the systemic blood pressure. The pulmonary vasculature was constrained by its ability to withstand the swings in pressure caused by the systemic perfusion necessary to sustain all the other vital organs. PTHrP is a potent vasodilator, subserving the blood pressure constraint, but eventually the βA receptors evolved to coordinate blood pressure in both the lung and the periphery.

Gut Microbiome Heritability

Analyzing data from a large twin study, researchers have homed in on how host genetics can shape the gut microbiome.
By Tracy Vence | The Scientist Nov 6, 2014

Previous research suggested host genetic variation can influence microbial phenotype, but an analysis of data from a large twin study published in Cell today (November 6) solidifies the connection between human genotype and the composition of the gut microbiome. Studying more than 1,000 fecal samples from 416 monozygotic and dizygotic twin pairs, Cornell University’s Ruth Ley and her colleagues have homed in on one bacterial taxon, the family Christensenellaceae, as the most highly heritable group of microbes in the human gut. The researchers also found that Christensenellaceae—which was first described just two years ago—is central to a network of co-occurring heritable microbes that is associated with lean body mass index (BMI).  …

Of particular interest was the family Christensenellaceae, which was the most heritable taxon among those identified in the team’s analysis of fecal samples obtained from the TwinsUK study population.

While microbiologists had previously detected 16S rRNA sequences belonging to Christensenellaceae in the human microbiome, the family wasn’t named until 2012. “People hadn’t looked into it, partly because it didn’t have a name . . . it sort of flew under the radar,” said Ley.

Ley and her colleagues discovered that Christensenellaceae appears to be the hub in a network of co-occurring heritable taxa, which—among TwinsUK participants—was associated with low BMI. The researchers also found that Christensenellaceae had been found at greater abundance in low-BMI twins in older studies.

To interrogate the effects of Christensenellaceae on host metabolic phenotype, the Ley’s team introduced lean and obese human fecal samples into germ-free mice. They found animals that received lean fecal samples containing more Christensenellaceae showed reduced weight gain compared with their counterparts. And treatment of mice that had obesity-associated microbiomes with one member of the Christensenellaceae family, Christensenella minuta, led to reduced weight gain.   …

Ley and her colleagues are now focusing on the host alleles underlying the heritability of the gut microbiome. “We’re running a genome-wide association analysis to try to find genes—particular variants of genes—that might associate with higher levels of these highly heritable microbiota.  . . . Hopefully that will point us to possible reasons they’re heritable,” she said. “The genes will guide us toward understanding how these relationships are maintained between host genotype and microbiome composition.”

J.K. Goodrich et al., “Human genetics shape the gut microbiome,” Cell,  http://dx.doi.org:/10.1016/j.cell.2014.09.053, 2014.

Light-Operated Drugs

Scientists create a photosensitive pharmaceutical to target a glutamate receptor.
By Ruth Williams | The Scentist Nov 1, 2014
http://www.the-scientist.com/?articles.view/articleNo/41279/title/Light-Operated-Drugs/

light operated drugs MO1

light operated drugs MO1

http://www.the-scientist.com/Nov2014/MO1.jpg

The desire for temporal and spatial control of medications to minimize side effects and maximize benefits has inspired the development of light-controllable drugs, or optopharmacology. Early versions of such drugs have manipulated ion channels or protein-protein interactions, “but never, to my knowledge, G protein–coupled receptors [GPCRs], which are one of the most important pharmacological targets,” says Pau Gorostiza of the Institute for Bioengineering of Catalonia, in Barcelona.

Gorostiza has taken the first step toward filling that gap, creating a photosensitive inhibitor of the metabotropic glutamate 5 (mGlu5) receptor—a GPCR expressed in neurons and implicated in a number of neurological and psychiatric disorders. The new mGlu5 inhibitor—called alloswitch-1—is based on a known mGlu receptor inhibitor, but the simple addition of a light-responsive appendage, as had been done for other photosensitive drugs, wasn’t an option. The binding site on mGlu5 is “extremely tight,” explains Gorostiza, and would not accommodate a differently shaped molecule. Instead, alloswitch-1 has an intrinsic light-responsive element.

In a human cell line, the drug was active under dim light conditions, switched off by exposure to violet light, and switched back on by green light. When Gorostiza’s team administered alloswitch-1 to tadpoles, switching between violet and green light made the animals stop and start swimming, respectively.

The fact that alloswitch-1 is constitutively active and switched off by light is not ideal, says Gorostiza. “If you are thinking of therapy, then in principle you would prefer the opposite,” an “on” switch. Indeed, tweaks are required before alloswitch-1 could be a useful drug or research tool, says Stefan Herlitze, who studies ion channels at Ruhr-Universität Bochum in Germany. But, he adds, “as a proof of principle it is great.” (Nat Chem Biol, http://dx.doi.org:/10.1038/nchembio.1612, 2014)

Enhanced Enhancers

The recent discovery of super-enhancers may offer new drug targets for a range of diseases.
By Eric Olson | The Scientist Nov 1, 2014
http://www.the-scientist.com/?articles.view/articleNo/41281/title/Enhanced-Enhancers/

To understand disease processes, scientists often focus on unraveling how gene expression in disease-associated cells is altered. Increases or decreases in transcription—as dictated by a regulatory stretch of DNA called an enhancer, which serves as a binding site for transcription factors and associated proteins—can produce an aberrant composition of proteins, metabolites, and signaling molecules that drives pathologic states. Identifying the root causes of these changes may lead to new therapeutic approaches for many different diseases.

Although few therapies for human diseases aim to alter gene expression, the outstanding examples—including antiestrogens for hormone-positive breast cancer, antiandrogens for prostate cancer, and PPAR-γ agonists for type 2 diabetes—demonstrate the benefits that can be achieved through targeting gene-control mechanisms.  Now, thanks to recent papers from laboratories at MIT, Harvard, and the National Institutes of Health, researchers have a new, much bigger transcriptional target: large DNA regions known as super-enhancers or stretch-enhancers. Already, work on super-enhancers is providing insights into how gene-expression programs are established and maintained, and how they may go awry in disease.  Such research promises to open new avenues for discovering medicines for diseases where novel approaches are sorely needed.

Super-enhancers cover stretches of DNA that are 10- to 100-fold longer and about 10-fold less abundant in the genome than typical enhancer regions (Cell, 153:307-19, 2013). They also appear to bind a large percentage of the transcriptional machinery compared to typical enhancers, allowing them to better establish and enforce cell-type specific transcriptional programs (Cell, 153:320-34, 2013).

Super-enhancers are closely associated with genes that dictate cell identity, including those for cell-type–specific master regulatory transcription factors. This observation led to the intriguing hypothesis that cells with a pathologic identity, such as cancer cells, have an altered gene expression program driven by the loss, gain, or altered function of super-enhancers.

Sure enough, by mapping the genome-wide location of super-enhancers in several cancer cell lines and from patients’ tumor cells, we and others have demonstrated that genes located near super-enhancers are involved in processes that underlie tumorigenesis, such as cell proliferation, signaling, and apoptosis.

Super-enhancers cover stretches of DNA that are 10- to 100-fold longer and about 10-fold less abundant in the genome than typical enhancer regions.

Genome-wide association studies (GWAS) have found that disease- and trait-associated genetic variants often occur in greater numbers in super-enhancers (compared to typical enhancers) in cell types involved in the disease or trait of interest (Cell, 155:934-47, 2013). For example, an enrichment of fasting glucose–associated single nucleotide polymorphisms (SNPs) was found in the stretch-enhancers of pancreatic islet cells (PNAS, 110:17921-26, 2013). Given that some 90 percent of reported disease-associated SNPs are located in noncoding regions, super-enhancer maps may be extremely valuable in assigning functional significance to GWAS variants and identifying target pathways.

Because only 1 to 2 percent of active genes are physically linked to a super-enhancer, mapping the locations of super-enhancers can be used to pinpoint the small number of genes that may drive the biology of that cell. Differential super-enhancer maps that compare normal cells to diseased cells can be used to unravel the gene-control circuitry and identify new molecular targets, in much the same way that somatic mutations in tumor cells can point to oncogenic drivers in cancer. This approach is especially attractive in diseases for which an incomplete understanding of the pathogenic mechanisms has been a barrier to discovering effective new therapies.

Another therapeutic approach could be to disrupt the formation or function of super-enhancers by interfering with their associated protein components. This strategy could make it possible to downregulate multiple disease-associated genes through a single molecular intervention. A group of Boston-area researchers recently published support for this concept when they described inhibited expression of cancer-specific genes, leading to a decrease in cancer cell growth, by using a small molecule inhibitor to knock down a super-enhancer component called BRD4 (Cancer Cell, 24:777-90, 2013).  More recently, another group showed that expression of the RUNX1 transcription factor, involved in a form of T-cell leukemia, can be diminished by treating cells with an inhibitor of a transcriptional kinase that is present at the RUNX1 super-enhancer (Nature, 511:616-20, 2014).

Fungal effector Ecp6 outcompetes host immune receptor for chitin binding through intrachain LysM dimerization 
Andrea Sánchez-Vallet, et al.   eLife 2013;2:e00790 http://elifesciences.org/content/2/e00790#sthash.LnqVMJ9p.dpuf

LysM effector

LysM effector

http://img.scoop.it/ZniCRKQSvJOG18fHbb4p0Tl72eJkfbmt4t8yenImKBVvK0kTmF0xjctABnaLJIm9

While host immune receptors

  • detect pathogen-associated molecular patterns to activate immunity,
  • pathogens attempt to deregulate host immunity through secreted effectors.

Fungi employ LysM effectors to prevent

  • recognition of cell wall-derived chitin by host immune receptors

Structural analysis of the LysM effector Ecp6 of

  • the fungal tomato pathogen Cladosporium fulvum reveals
  • a novel mechanism for chitin binding,
  • mediated by intrachain LysM dimerization,

leading to a chitin-binding groove that is deeply buried in the effector protein.

This composite binding site involves

  • two of the three LysMs of Ecp6 and
  • mediates chitin binding with ultra-high (pM) affinity.

The remaining singular LysM domain of Ecp6 binds chitin with

  • low micromolar affinity but can nevertheless still perturb chitin-triggered immunity.

Conceivably, the perturbation by this LysM domain is not established through chitin sequestration but possibly through interference with the host immune receptor complex.

Mutated Genes in Schizophrenia Map to Brain Networks
From www.nih.gov –  Sep 3, 2013

Previous studies have shown that many people with schizophrenia have de novo, or new, genetic mutations. These misspellings in a gene’s DNA sequence

  • occur spontaneously and so aren’t shared by their close relatives.

Dr. Mary-Claire King of the University of Washington in Seattle and colleagues set out to

  • identify spontaneous genetic mutations in people with schizophrenia and
  • to assess where and when in the brain these misspelled genes are turned on, or expressed.

The study was funded in part by NIH’s National Institute of Mental Health (NIMH). The results were published in the August 1, 2013, issue of Cell.

The researchers sequenced the exomes (protein-coding DNA regions) of 399 people—105 with schizophrenia plus their unaffected parents and siblings. Gene variations
that were found in a person with schizophrenia but not in either parent were considered spontaneous.

The likelihood of having a spontaneous mutation was associated with

  • the age of the father in both affected and unaffected siblings.

Significantly more mutations were found in people

  • whose fathers were 33-45 years at the time of conception compared to 19-28 years.

Among people with schizophrenia, the scientists identified

  • 54 genes with spontaneous mutations
  • predicted to cause damage to the function of the protein they encode.

The researchers used newly available database resources that show

  • where in the brain and when during development genes are expressed.

The genes form an interconnected expression network with many more connections than

  • that of the genes with spontaneous damaging mutations in unaffected siblings.

The spontaneously mutated genes in people with schizophrenia

  • were expressed in the prefrontal cortex, a region in the front of the brain.

The genes are known to be involved in important pathways in brain development. Fifty of these genes were active

  • mainly during the period of fetal development.

“Processes critical for the brain’s development can be revealed by the mutations that disrupt them,” King says. “Mutations can lead to loss of integrity of a whole pathway,
not just of a single gene.”

These findings support the concept that schizophrenia may result, in part, from

  • disruptions in development in the prefrontal cortex during fetal development.

James E. Darnell’s “Reflections”

A brief history of the discovery of RNA and its role in transcription — peppered with career advice
By Joseph P. Tiano

James Darnell begins his Journal of Biological Chemistry “Reflections” article by saying, “graduate students these days

  • have to swim in a sea virtually turgid with the daily avalanche of new information and
  • may be momentarily too overwhelmed to listen to the aging.

I firmly believe how we learned what we know can provide useful guidance for how and what a newcomer will learn.” Considering his remarkable discoveries in

  • RNA processing and eukaryotic transcriptional regulation

spanning 60 years of research, Darnell’s advice should be cherished. In his second year at medical school at Washington University School of Medicine in St. Louis, while
studying streptococcal disease in Robert J. Glaser’s laboratory, Darnell realized he “loved doing the experiments” and had his first “career advancement event.”
He and technician Barbara Pesch discovered that in vivo penicillin treatment killed streptococci only in the exponential growth phase and not in the stationary phase. These
results were published in the Journal of Clinical Investigation and earned Darnell an interview with Harry Eagle at the National Institutes of Health.

Darnell arrived at the NIH in 1956, shortly after Eagle  shifted his research interest to developing his minimal essential cell culture medium, still used. Eagle, then studying cell metabolism, suggested that Darnell take up a side project on poliovirus replication in mammalian cells in collaboration with Robert I. DeMars. DeMars’ Ph.D.
adviser was also James  Watson’s mentor, so Darnell met Watson, who invited him to give a talk at Harvard University, which led to an assistant professor position
at the MIT under Salvador Luria. A take-home message is to embrace side projects, because you never know where they may lead: this project helped to shape
his career.

Darnell arrived in Boston in 1961. Following the discovery of DNA’s structure in 1953, the world of molecular biology was turning to RNA in an effort to understand how
proteins are made. Darnell’s background in virology (it was discovered in 1960 that viruses used RNA to replicate) was ideal for the aim of his first independent lab:
exploring mRNA in animal cells grown in culture. While at MIT, he developed a new technique for purifying RNA along with making other observations

  • suggesting that nonribosomal cytoplasmic RNA may be involved in protein synthesis.

When Darnell moved to Albert Einstein College of Medicine for full professorship in 1964,  it was hypothesized that heterogenous nuclear RNA was a precursor to mRNA.
At Einstein, Darnell discovered RNA processing of pre-tRNAs and demonstrated for the first time

  • that a specific nuclear RNA could represent a possible specific mRNA precursor.

In 1967 Darnell took a position at Columbia University, and it was there that he discovered (simultaneously with two other labs) that

  • mRNA contained a polyadenosine tail.

The three groups all published their results together in the Proceedings of the National Academy of Sciences in 1971. Shortly afterward, Darnell made his final career move
four short miles down the street to Rockefeller University in 1974.

Over the next 35-plus years at Rockefeller, Darnell never strayed from his original research question: How do mammalian cells make and control the making of different
mRNAs? His work was instrumental in the collaborative discovery of

  • splicing in the late 1970s and
  • in identifying and cloning many transcriptional activators.

Perhaps his greatest contribution during this time, with the help of Ernest Knight, was

  • the discovery and cloning of the signal transducers and activators of transcription (STAT) proteins.

And with George Stark, Andy Wilks and John Krowlewski, he described

  • cytokine signaling via the JAK-STAT pathway.

Darnell closes his “Reflections” with perhaps his best advice: Do not get too wrapped up in your own work, because “we are all needed and we are all in this together.”

Darnell Reflections - James_Darnell

Darnell Reflections – James_Darnell

http://www.asbmb.org/assets/0/366/418/428/85528/85529/85530/8758cb87-84ff-42d6-8aea-96fda4031a1b.jpg

Recent findings on presenilins and signal peptide peptidase

By Dinu-Valantin Bălănescu

γ-secretase and SPP

γ-secretase and SPP

Fig. 1 from the minireview shows a schematic depiction of γ-secretase and SPP

http://www.asbmb.org/assets/0/366/418/428/85528/85529/85530/c2de032a-daad-41e5-ba19-87a17bd26362.png

GxGD proteases are a family of intramembranous enzymes capable of hydrolyzing

  • the transmembrane domain of some integral membrane proteins.

The GxGD family is one of the three families of

  • intramembrane-cleaving proteases discovered so far (along with the rhomboid and site-2 protease) and
  • includes the γ-secretase and the signal peptide peptidase.

Although only recently discovered, a number of functions in human pathology and in numerous other biological processes

  • have been attributed to γ-secretase and SPP.

Taisuke Tomita and Takeshi Iwatsubo of the University of Tokyo highlighted the latest findings on the structure and function of γ-secretase and SPP
in a recent minireview in The Journal of Biological Chemistry.

  • γ-secretase is involved in cleaving the amyloid-β precursor protein, thus producing amyloid-β peptide,

the main component of senile plaques in Alzheimer’s disease patients’ brains. The complete structure of mammalian γ-secretase is not yet known; however,
Tomita and Iwatsubo note that biochemical analyses have revealed it to be a multisubunit protein complex.

  • Its catalytic subunit is presenilin, an aspartyl protease.

In vitro and in vivo functional and chemical biology analyses have revealed that

  • presenilin is a modulator and mandatory component of the γ-secretase–mediated cleavage of APP.

Genetic studies have identified three other components required for γ-secretase activity:

  1. nicastrin,
  2. anterior pharynx defective 1 and
  3. presenilin enhancer 2.

By coexpression of presenilin with the other three components, the authors managed to

  • reconstitute γ-secretase activity.

Tomita and Iwatsubo determined using the substituted cysteine accessibility method and by topological analyses, that

  • the catalytic aspartates are located at the center of the nine transmembrane domains of presenilin,
  • by revealing the exact location of the enzyme’s catalytic site.

The minireview also describes in detail the formerly enigmatic mechanism of γ-secretase mediated cleavage.

SPP, an enzyme that cleaves remnant signal peptides in the membrane

  • during the biogenesis of membrane proteins and
  • signal peptides from major histocompatibility complex type I,
  • also is involved in the maturation of proteins of the hepatitis C virus and GB virus B.

Bioinformatics methods have revealed in fruit flies and mammals four SPP-like proteins,

  • two of which are involved in immunological processes.

By using γ-secretase inhibitors and modulators, it has been confirmed

  • that SPP shares a similar GxGD active site and proteolytic activity with γ-secretase.

Upon purification of the human SPP protein with the baculovirus/Sf9 cell system,

  • single-particle analysis revealed further structural and functional details.

HLA targeting efficiency correlates with human T-cell response magnitude and with mortality from influenza A infection

From www.pnas.org –  Sep 3, 2013 4:24 PM

Experimental and computational evidence suggests that

  • HLAs preferentially bind conserved regions of viral proteins, a concept we term “targeting efficiency,” and that
  • this preference may provide improved clearance of infection in several viral systems.

To test this hypothesis, T-cell responses to A/H1N1 (2009) were measured from peripheral blood mononuclear cells obtained from a household cohort study
performed during the 2009–2010 influenza season. We found that HLA targeting efficiency scores significantly correlated with

  • IFN-γ enzyme-linked immunosorbent spot responses (P = 0.042, multiple regression).

A further population-based analysis found that the carriage frequencies of the alleles with the lowest targeting efficiencies, A*24,

  • were associated with pH1N1 mortality (r = 0.37, P = 0.031) and
  • are common in certain indigenous populations in which increased pH1N1 morbidity has been reported.

HLA efficiency scores and HLA use are associated with CD8 T-cell magnitude in humans after influenza infection.
The computational tools used in this study may be useful predictors of potential morbidity and

  • identify immunologic differences of new variant influenza strains
  • more accurately than evolutionary sequence comparisons.

Population-based studies of the relative frequency of these alleles in severe vs. mild influenza cases

  • might advance clinical practices for severe H1N1 infections among genetically susceptible populations.

Metabolomics in drug target discovery

J D Rabinowitz et al.

Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ.
Cold Spring Harbor Symposia on Quantitative Biology 11/2011; 76:235-46.
http://dx.doi.org:/10.1101/sqb.2011.76.010694 

Most diseases result in metabolic changes. In many cases, these changes play a causative role in disease progression. By identifying pathological metabolic changes,

  • metabolomics can point to potential new sites for therapeutic intervention.

Particularly promising enzymatic targets are those that

  • carry increased flux in the disease state.

Definitive assessment of flux requires the use of isotope tracers. Here we present techniques for

  • finding new drug targets using metabolomics and isotope tracers.

The utility of these methods is exemplified in the study of three different viral pathogens. For influenza A and herpes simplex virus,

  • metabolomic analysis of infected versus mock-infected cells revealed
  • dramatic concentration changes around the current antiviral target enzymes.

Similar analysis of human-cytomegalovirus-infected cells, however, found the greatest changes

  • in a region of metabolism unrelated to the current antiviral target.

Instead, it pointed to the tricarboxylic acid (TCA) cycle and

  • its efflux to feed fatty acid biosynthesis as a potential preferred target.

Isotope tracer studies revealed that cytomegalovirus greatly increases flux through

  • the key fatty acid metabolic enzyme acetyl-coenzyme A carboxylase.
  • Inhibition of this enzyme blocks human cytomegalovirus replication.

Examples where metabolomics has contributed to identification of anticancer drug targets are also discussed. Eventual proof of the value of

  • metabolomics as a drug target discovery strategy will be
  • successful clinical development of therapeutics hitting these new targets.

 Related References

Use of metabolic pathway flux information in targeted cancer drug design. Drug Discovery Today: Therapeutic Strategies 1:435-443, 2004.

Detection of resistance to imatinib by metabolic profiling: clinical and drug development implications. Am J Pharmacogenomics. 2005;5(5):293-302. Review. PMID: 16196499

Medicinal chemistry, metabolic profiling and drug target discovery: a role for metabolic profiling in reverse pharmacology and chemical genetics.
Mini Rev Med Chem.  2005 Jan;5(1):13-20. Review. PMID: 15638788 [PubMed – indexed for MEDLINE] Related citations

Development of Tracer-Based Metabolomics and its Implications for the Pharmaceutical Industry. Int J Pharm Med 2007; 21 (3): 217-224.

Use of metabolic pathway flux information in anticancer drug design. Ernst Schering Found Symp Proc. 2007;(4):189-203. Review. PMID: 18811058

Pharmacological targeting of glucagon and glucagon-like peptide 1 receptors has different effects on energy state and glucose homeostasis in diet-induced obese mice. J Pharmacol Exp Ther. 2011 Jul;338(1):70-81. http://dx.doi.org:/10.1124/jpet.111.179986. PMID: 21471191

Single valproic acid treatment inhibits glycogen and RNA ribose turnover while disrupting glucose-derived cholesterol synthesis in liver as revealed by the
[U-C(6)]-d-glucose tracer in mice. Metabolomics. 2009 Sep;5(3):336-345. PMID: 19718458

Metabolic Pathways as Targets for Drug Screening, Metabolomics, Dr Ute Roessner (Ed.), ISBN: 978-953-51-0046-1, InTech, Available from: http://www.intechopen.com/books/metabolomics/metabolic-pathways-as-targets-for-drug-screening

Iron regulates glucose homeostasis in liver and muscle via AMP-activated protein kinase in mice. FASEB J. 2013 Jul;27(7):2845-54.
http://dx.doi.org:/10.1096/fj.12-216929. PMID: 23515442

Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery

Drug Discov. Today 19 (2014), 171–182     http://dx.doi.org:/10.1016/j.drudis.2013.07.014

Highlights

  • We now have metabolic network models; the metabolome is represented by their nodes.
  • Metabolite levels are sensitive to changes in enzyme activities.
  • Drugs hitchhike on metabolite transporters to get into and out of cells.
  • The consensus network Recon2 represents the present state of the art, and has predictive power.
  • Constraint-based modelling relates network structure to metabolic fluxes.

Metabolism represents the ‘sharp end’ of systems biology, because changes in metabolite concentrations are

  • necessarily amplified relative to changes in the transcriptome, proteome and enzyme activities, which can be modulated by drugs.

To understand such behaviour, we therefore need (and increasingly have) reliable consensus (community) models of

  • the human metabolic network that include the important transporters.

Small molecule ‘drug’ transporters are in fact metabolite transporters, because

  • drugs bear structural similarities to metabolites known from the network reconstructions and
  • from measurements of the metabolome.

Recon2 represents the present state-of-the-art human metabolic network reconstruction; it can predict inter alia:

(i) the effects of inborn errors of metabolism;

(ii) which metabolites are exometabolites, and

(iii) how metabolism varies between tissues and cellular compartments.

However, even these qualitative network models are not yet complete. As our understanding improves

  • so do we recognise more clearly the need for a systems (poly)pharmacology.

Introduction – a systems biology approach to drug discovery

It is clearly not news that the productivity of the pharmaceutical industry has declined significantly during recent years

  • following an ‘inverse Moore’s Law’, Eroom’s Law, or
  • that many commentators, consider that the main cause of this is
  • because of an excessive focus on individual molecular target discovery rather than a more sensible strategy
  • based on a systems-level approach (Fig. 1).
drug discovery science

drug discovery science

Figure 1.

The change in drug discovery strategy from ‘classical’ function-first approaches (in which the assay of drug function was at the tissue or organism level),
with mechanistic studies potentially coming later, to more-recent target-based approaches where initial assays usually involve assessing the interactions
of drugs with specified (and often cloned, recombinant) proteins in vitro. In the latter cases, effects in vivo are assessed later, with concomitantly high levels of attrition.

Arguably the two chief hallmarks of the systems biology approach are:

(i) that we seek to make mathematical models of our systems iteratively or in parallel with well-designed ‘wet’ experiments, and
(ii) that we do not necessarily start with a hypothesis but measure as many things as possible (the ’omes) and

  • let the data tell us the hypothesis that best fits and describes them.

Although metabolism was once seen as something of a Cinderella subject,

  • there are fundamental reasons to do with the organisation of biochemical networks as
  • to why the metabol(om)ic level – now in fact seen as the ‘apogee’ of the ’omics trilogy –
  •  is indeed likely to be far more discriminating than are
  • changes in the transcriptome or proteome.

The next two subsections deal with these points and Fig. 2 summarises the paper in the form of a Mind Map.

metabolomics and systems pharmacology

metabolomics and systems pharmacology

http://ars.els-cdn.com/content/image/1-s2.0-S1359644613002481-gr2.jpg

Metabolic Disease Drug Discovery— “Hitting the Target” Is Easier Said Than Done

David E. Moller, et al.   http://dx.doi.org:/10.1016/j.cmet.2011.10.012

Despite the advent of new drug classes, the global epidemic of cardiometabolic disease has not abated. Continuing

  • unmet medical needs remain a major driver for new research.

Drug discovery approaches in this field have mirrored industry trends, leading to a recent

  • increase in the number of molecules entering development.

However, worrisome trends and newer hurdles are also apparent. The history of two newer drug classes—

  1. glucagon-like peptide-1 receptor agonists and
  2. dipeptidyl peptidase-4 inhibitors—

illustrates both progress and challenges. Future success requires that researchers learn from these experiences and

  • continue to explore and apply new technology platforms and research paradigms.

The global epidemic of obesity and diabetes continues to progress relentlessly. The International Diabetes Federation predicts an even greater diabetes burden (>430 million people afflicted) by 2030, which will disproportionately affect developing nations (International Diabetes Federation, 2011). Yet

  • existing drug classes for diabetes, obesity, and comorbid cardiovascular (CV) conditions have substantial limitations.

Currently available prescription drugs for treatment of hyperglycemia in patients with type 2 diabetes (Table 1) have notable shortcomings. In general,

Therefore, clinicians must often use combination therapy, adding additional agents over time. Ultimately many patients will need to use insulin—a therapeutic class first introduced in 1922. Most existing agents also have

  • issues around safety and tolerability as well as dosing convenience (which can impact patient compliance).

Pharmacometabolomics, also known as pharmacometabonomics, is a field which stems from metabolomics,

  • the quantification and analysis of metabolites produced by the body.

It refers to the direct measurement of metabolites in an individual’s bodily fluids, in order to

  • predict or evaluate the metabolism of pharmaceutical compounds, and
  • to better understand the pharmacokinetic profile of a drug.

Alternatively, pharmacometabolomics can be applied to measure metabolite levels

  • following the administration of a pharmaceutical compound, in order to
  • monitor the effects of the compound on certain metabolic pathways(pharmacodynamics).

This provides detailed mapping of drug effects on metabolism and

  • the pathways that are implicated in mechanism of variation of response to treatment.

In addition, the metabolic profile of an individual at baseline (metabotype) provides information about

  • how individuals respond to treatment and highlights heterogeneity within a disease state.

All three approaches require the quantification of metabolites found

relationship between -OMICS

relationship between -OMICS

http://upload.wikimedia.org/wikipedia/commons/thumb/e/eb/OMICS.png/350px-OMICS.png

Pharmacometabolomics is thought to provide information that

Looking at the characteristics of an individual down through these different levels of detail, there is an

  • increasingly more accurate prediction of a person’s ability to respond to a pharmaceutical compound.
  1. the genome, made up of 25 000 genes, can indicate possible errors in drug metabolism;
  2. the transcriptome, made up of 85,000 transcripts, can provide information about which genes important in metabolism are being actively transcribed;
  3. and the proteome, >10,000,000 members, depicts which proteins are active in the body to carry out these functions.

Pharmacometabolomics complements the omics with

  • direct measurement of the products of all of these reactions, but with perhaps a relatively
  • smaller number of members: that was initially projected to be approximately 2200 metabolites,

but could be a larger number when gut derived metabolites and xenobiotics are added to the list. Overall, the goal of pharmacometabolomics is

  • to more closely predict or assess the response of an individual to a pharmaceutical compound,
  • permitting continued treatment with the right drug or dosage
  • depending on the variations in their metabolism and ability to respond to treatment.

Pharmacometabolomic analyses, through the use of a metabolomics approach,

  • can provide a comprehensive and detailed metabolic profile or “metabolic fingerprint” for an individual patient.

Such metabolic profiles can provide a complete overview of individual metabolite or pathway alterations,

This approach can then be applied to the prediction of response to a pharmaceutical compound

  • by patients with a particular metabolic profile.

Pharmacometabolomic analyses of drug response are

Pharmacogenetics focuses on the identification of genetic variations (e.g. single-nucleotide polymorphisms)

  • within patients that may contribute to altered drug responses and overall outcome of a certain treatment.

The results of pharmacometabolomics analyses can act to “inform” or “direct”

  • pharmacogenetic analyses by correlating aberrant metabolite concentrations or metabolic pathways to potential alterations at the genetic level.

This concept has been established with two seminal publications from studies of antidepressants serotonin reuptake inhibitors

  • where metabolic signatures were able to define a pathway implicated in response to the antidepressant and
  • that lead to identification of genetic variants within a key gene
  • within the highlighted pathway as being implicated in variation in response.

These genetic variants were not identified through genetic analysis alone and hence

  • illustrated how metabolomics can guide and inform genetic data.

en.wikipedia.org/wiki/Pharmacometabolomics

Benznidazole Biotransformation and Multiple Targets in Trypanosoma cruzi Revealed by Metabolomics

Andrea Trochine, Darren J. Creek, Paula Faral-Tello, Michael P. Barrett, Carlos Robello
Published: May 22, 2014   http://dx.doi.org:/10.1371/journal.pntd.0002844

The first line treatment for Chagas disease, a neglected tropical disease caused by the protozoan parasite Trypanosoma cruzi,

  • involves administration of benznidazole (Bzn).

Bzn is a 2-nitroimidazole pro-drug which requires nitroreduction to become active. We used a

  • non-targeted MS-based metabolomics approach to study the metabolic response of T. cruzi to Bzn.

Parasites treated with Bzn were minimally altered compared to untreated trypanosomes, although the redox active thiols

  1. trypanothione,
  2. homotrypanothione and
  3. cysteine

were significantly diminished in abundance post-treatment. In addition, multiple Bzn-derived metabolites were detected after treatment.

These metabolites included reduction products, fragments and covalent adducts of reduced Bzn

  • linked to each of the major low molecular weight thiols:
  1. trypanothione,
  2. glutathione,
  3. g-glutamylcysteine,
  4. glutathionylspermidine,
  5. cysteine and
  6. ovothiol A.

Bzn products known to be generated in vitro by the unusual trypanosomal nitroreductase, TcNTRI,

  • were found within the parasites,
  • but low molecular weight adducts of glyoxal, a proposed toxic end-product of NTRI Bzn metabolism, were not detected.

Our data is indicative of a major role of the

  • thiol binding capacity of Bzn reduction products
  • in the mechanism of Bzn toxicity against T. cruzi.

 

 

Read Full Post »

Summary to Metabolomics

Summary to Metabolomics

Author and Curator: Larry H. Bernstein, MD, FCAP 

This concludes a long step-by-step journey into rediscovering biological processes from the genome as a framework to the remodeled and reconstituted cell through a number of posttranscription and posttranslation processes that modify the proteome and determine the metabolome.  The remodeling process continues over a lifetime. The process requires a balance between nutrient intake, energy utilization for work in the lean body mass, energy reserves, endocrine, paracrine and autocrine mechanisms, and autophagy.  It is true when we look at this in its full scope – What a creature is man?

http://masspec.scripps.edu/metabo_science/recommended_readings.php
 Recommended Readings and Historical Perspectives

Metabolomics is the scientific study of chemical processes involving metabolites. Specifically, metabolomics is the “systematic study of the unique chemical fingerprints that specific cellular processes leave behind”, the study of their small-molecule metabolite profiles.[1] The metabolome represents the collection of all metabolites in a biological cell, tissue, organ or organism, which are the end products of cellular processes.[2] mRNA gene expression data and proteomic analyses reveal the set of gene products being produced in the cell, data that represents one aspect of cellular function. Conversely, metabolic profiling can give an instantaneous snapshot of the physiology of that cell. One of the challenges of systems biology and functional genomics is to integrate proteomic, transcriptomic, and metabolomic information to provide a better understanding of cellular biology.

The term “metabolic profile” was introduced by Horning, et al. in 1971 after they demonstrated that gas chromatography-mass spectrometry (GC-MS) could be used to measure compounds present in human urine and tissue extracts. The Horning group, along with that of Linus Pauling and Arthur B. Robinson led the development of GC-MS methods to monitor the metabolites present in urine through the 1970s.

Concurrently, NMR spectroscopy, which was discovered in the 1940s, was also undergoing rapid advances. In 1974, Seeley et al. demonstrated the utility of using NMR to detect metabolites in unmodified biological samples.This first study on muscle highlighted the value of NMR in that it was determined that 90% of cellular ATP is complexed with magnesium. As sensitivity has improved with the evolution of higher magnetic field strengths and magic angle spinning, NMR continues to be a leading analytical tool to investigate metabolism. Efforts to utilize NMR for metabolomics have been influenced by the laboratory of Dr. Jeremy Nicholson at Birkbeck College, University of London and later at Imperial College London. In 1984, Nicholson showed 1H NMR spectroscopy could potentially be used to diagnose diabetes mellitus, and later pioneered the application of pattern recognition methods to NMR spectroscopic data.

In 2005, the first metabolomics web database, METLIN, for characterizing human metabolites was developed in the Siuzdak laboratory at The Scripps Research Institute and contained over 10,000 metabolites and tandem mass spectral data. As of September 2012, METLIN contains over 60,000 metabolites as well as the largest repository of tandem mass spectrometry data in metabolomics.

On 23 January 2007, the Human Metabolome Project, led by Dr. David Wishart of the University of Alberta, Canada, completed the first draft of the human metabolome, consisting of a database of approximately 2500 metabolites, 1200 drugs and 3500 food components. Similar projects have been underway in several plant species, most notably Medicago truncatula and Arabidopsis thaliana for several years.

As late as mid-2010, metabolomics was still considered an “emerging field”. Further, it was noted that further progress in the field depended in large part, through addressing otherwise “irresolvable technical challenges”, by technical evolution of mass spectrometry instrumentation.

Metabolome refers to the complete set of small-molecule metabolites (such as metabolic intermediates, hormones and other signaling molecules, and secondary metabolites) to be found within a biological sample, such as a single organism. The word was coined in analogy with transcriptomics and proteomics; like the transcriptome and the proteome, the metabolome is dynamic, changing from second to second. Although the metabolome can be defined readily enough, it is not currently possible to analyse the entire range of metabolites by a single analytical method. The first metabolite database(called METLIN) for searching m/z values from mass spectrometry data was developed by scientists at The Scripps Research Institute in 2005. In January 2007, scientists at the University of Alberta and the University of Calgary completed the first draft of the human metabolome. They catalogued approximately 2500 metabolites, 1200 drugs and 3500 food components that can be found in the human body, as reported in the literature. This information, available at the Human Metabolome Database (www.hmdb.ca) and based on analysis of information available in the current scientific literature, is far from complete.

Each type of cell and tissue has a unique metabolic ‘fingerprint’ that can elucidate organ or tissue-specific information, while the study of biofluids can give more generalized though less specialized information. Commonly used biofluids are urine and plasma, as they can be obtained non-invasively or relatively non-invasively, respectively. The ease of collection facilitates high temporal resolution, and because they are always at dynamic equilibrium with the body, they can describe the host as a whole.

Metabolites are the intermediates and products of metabolism. Within the context of metabolomics, a metabolite is usually defined as any molecule less than 1 kDa in size.
A primary metabolite is directly involved in the normal growth, development, and reproduction. A secondary metabolite is not directly involved in those processes.  By contrast, in human-based metabolomics, it is more common to describe metabolites as being either endogenous (produced by the host organism) or exogenous. Metabolites of foreign substances such as drugs are termed xenometabolites. The metabolome forms a large network of metabolic reactions, where outputs from one enzymatic chemical reaction are inputs to other chemical reactions.

Metabonomics is defined as “the quantitative measurement of the dynamic multiparametric metabolic response of living systems to pathophysiological stimuli or genetic modification”. The word origin is from the Greek μεταβολή meaning change and nomos meaning a rule set or set of laws. This approach was pioneered by Jeremy Nicholson at Imperial College London and has been used in toxicology, disease diagnosis and a number of other fields. Historically, the metabonomics approach was one of the first methods to apply the scope of systems biology to studies of metabolism.

There is a growing consensus that ‘metabolomics’ places a greater emphasis on metabolic profiling at a cellular or organ level and is primarily concerned with normal endogenous metabolism. ‘Metabonomics’ extends metabolic profiling to include information about perturbations of metabolism caused by environmental factors (including diet and toxins), disease processes, and the involvement of extragenomic influences, such as gut microflora. This is not a trivial difference; metabolomic studies should, by definition, exclude metabolic contributions from extragenomic sources, because these are external to the system being studied.

Toxicity assessment/toxicology. Metabolic profiling (especially of urine or blood plasma samples) detects the physiological changes caused by toxic insult of a chemical (or mixture of chemicals).

Functional genomics. Metabolomics can be an excellent tool for determining the phenotype caused by a genetic manipulation, such as gene deletion or insertion. Sometimes this can be a sufficient goal in itself—for instance, to detect any phenotypic changes in a genetically-modified plant intended for human or animal consumption. More exciting is the prospect of predicting the function of unknown genes by comparison with the metabolic perturbations caused by deletion/insertion of known genes.

Nutrigenomics is a generalised term which links genomics, transcriptomics, proteomics and metabolomics to human nutrition. In general a metabolome in a given body fluid is influenced by endogenous factors such as age, sex, body composition and genetics as well as underlying pathologies. The large bowel microflora are also a very significant potential confounder of metabolic profiles and could be classified as either an endogenous or exogenous factor. The main exogenous factors are diet and drugs. Diet can then be broken down to nutrients and non- nutrients.

http://en.wikipedia.org/wiki/Metabolomics

Jose Eduardo des Salles Roselino

The problem with genomics was it was set as explanation for everything. In fact, when something is genetic in nature the genomic reasoning works fine. However, this means whenever an inborn error is found and only in this case the genomic knowledge afterwards may indicate what is wrong and not the completely way to put biology upside down by reading everything in the DNA genetic as well as non-genetic problems.

Coordination of the transcriptome and metabolome by the circadian clock PNAS 2012

Coordination of the transcriptome and metabolome by the circadian clock PNAS 2012

analysis of metabolomic data and differential metabolic regulation for fetal lungs, and maternal blood plasma

conformational changes leading to substrate efflux.img

conformational changes leading to substrate efflux.img

The cellular response is defined by a network of chemogenomic response signatures.

The cellular response is defined by a network of chemogenomic response signatures.

Dynamic Construct of the –Omics

Dynamic Construct of the –Omics

 genome cartoon

genome cartoon

central dogma phenotype

central dogma phenotype

Read Full Post »

Summary of Cell Structure, Anatomic Correlates of Metabolic Function

Author and Curator: Larry H. Bernstein, MD, FCAP  

 

This chapter has been concerned with the subcellular ultrastructure of organelles, and importantly, their function.  There is no waste in the cell structure. The nucleus has the instructions necessary to carry out the cell’s functions.  In the Eukaryotic cell there is significant differentiation so that the cells are regulated for the needs that they uniquely carry out.  When there is disregulation, it leads to remodeling or to cell death.

Here I shall note some highlights of this chapter.

  1. In every aspect of cell function, proteins are involved embedded in the structure, for most efficient functioning.
  2. Metabolic regulation is dependent on pathways that are also linkages of proteins.
  3. Energy utilization is dependent on enzymatic reactions, often involving essential metal ions of high valence numbers, which facilitates covalent and anion binding, and has an essential role in allostericity.

Mitochondria

Mitochondria,_mammalian_lung

Mitochondria,_mammalian_lung

http://en.wikipedia.org/wiki/File:Mitochondria,_mammalian_lung_-_TEM.jpg

Mitochondria range from 0.5 to 1.0 micrometer (μm) in diameter. These structures are sometimes described as “cellular power plants” because they generate most of the cell’s supply of adenosine triphosphate (ATP), used as a source of chemical energy. In addition to supplying cellular energy, mitochondria are involved in other tasks such as signaling, cellular differentiation, cell death, as well as the control of the cell cycle and cell growth. Mitochondria have been implicated in several human diseases, including mitochondrial disorders and cardiac dysfunction.

The number of mitochondria in a cell can vary widely by organism, tissue, and cell type. For instance, red blood cells have no mitochondria, whereas liver cells can have more than 2000. The organelle is composed of compartments that carry out specialized functions. These compartments or regions include the outer membrane, the intermembrane space, the inner membrane, and the cristae and matrix. Mitochondrial proteins vary depending on the tissue and the species. The mitochondrial proteome is thought to be dynamically regulated. Although most of a cell’s DNA is contained in the cell nucleus, the mitochondrion has its own independent genome. Further, its DNA shows substantial similarity to bacterial genomes.

In 1913 particles from extracts of guinea-pig liver were linked to respiration by Otto Heinrich Warburg, which he called “grana”. Warburg and Heinrich Otto Wieland, who had also postulated a similar particle mechanism, disagreed on the chemical nature of the respiration. It was not until 1925 when David Keilin discovered cytochromes that the respiratory chain was described.  In 1939, experiments using minced muscle cells demonstrated that one oxygen atom can form two adenosine triphosphate molecules, and, in 1941, the concept of phosphate bonds being a form of energy in cellular metabolism was developed by Fritz Albert Lipmann. In the following years, the mechanism behind cellular respiration was further elaborated, although its link to the mitochondria was not known. The introduction of tissue fractionation by Albert Claude allowed mitochondria to be isolated from other cell fractions and biochemical analysis to be conducted on them alone. In 1946, he concluded that cytochrome oxidase and other enzymes responsible for the respiratory chain were isolated to the mitchondria.

The first high-resolution micrographs appeared in 1952, replacing the Janus Green stains as the preferred way of visualising the mitochondria. This led to a more detailed analysis of the structure of the mitochondria, including confirmation that they were surrounded by a membrane. It also showed a second membrane inside the mitochondria that folded up in ridges dividing up the inner chamber and that the size and shape of the mitochondria varied from cell to cell.  In 1967, it was discovered that mitochondria contained ribosomes. In 1968, methods were developed for mapping the mitochondrial genes, with the genetic and physical map of yeast mitochondria being completed in 1976.

A mitochondrion contains outer and inner membranes composed of phospholipid bilayers and proteins. The two membranes have different properties. Because of this double-membraned organization, there are five distinct parts to a mitochondrion. They are:

  1. the outer mitochondrial membrane,
  2. the intermembrane space (the space between the outer and inner membranes),
  3. the inner mitochondrial membrane,
  4. the cristae space (formed by infoldings of the inner membrane), and
  5. the matrix (space within the inner membrane).

Mitochondria stripped of their outer membrane are called mitoplasts.

Mitochondrion_structure_drawing

Mitochondrion_structure_drawing

http://upload.wikimedia.org/wikipedia/commons/thumb/9/9e/Mitochondrion_structure_drawing.svg/500px-Mitochondrion_structure_drawing.svg.png

Mitochondrion ultrastructure (interactive diagram) A mitochondrion has a double membrane; the inner one contains its chemiosmotic apparatus and has deep grooves which increase its surface area. While commonly depicted as an “orange sausage with a blob inside of it” (like it is here), mitochondria can take many shapes and their intermembrane space is quite thin.

The intermembrane space is the space between the outer membrane and the inner membrane. It is also known as perimitochondrial space. Because the outer membrane is freely permeable to small molecules, the concentrations of small molecules such as ions and sugars in the intermembrane space is the same as the cytosol. However, large proteins must have a specific signaling sequence to be transported across the outer membrane, so the protein composition of this space is different from the protein composition of the cytosol. One protein that is localized to the intermembrane space in this way is cytochrome c.

The inner mitochondrial membrane contains proteins with five types of functions:

  1. Those that perform the redox reactions of oxidative phosphorylation
  2. ATP synthase, which generates ATP in the matrix
  3. Specific transport proteins that regulate metabolite passage into and out of the matrix
  4. Protein import machinery.
  5. Mitochondria fusion and fission protein.

It contains more than 151 different polypeptides, and has a very high protein-to-phospholipid ratio (more than 3:1 by weight, which is about 1 protein for 15 phospholipids). The inner membrane is home to around 1/5 of the total protein in a mitochondrion. In addition, the inner membrane is rich in an unusual phospholipid, cardiolipin. This phospholipid was originally discovered in cow hearts in 1942, and is usually characteristic of mitochondrial and bacterial plasma membranes. Cardiolipin contains four fatty acids rather than two, and may help to make the inner membrane impermeable. Unlike the outer membrane, the inner membrane doesn’t contain porins, and is highly impermeable to all molecules. Almost all ions and molecules require special membrane transporters to enter or exit the matrix. Proteins are ferried into the matrix via the translocase of the inner membrane (TIM) complex or via Oxa1. In addition, there is a membrane potential across the inner membrane, formed by the action of the enzymes of the electron transport chain.

The inner mitochondrial membrane is compartmentalized into numerous cristae, which expand the surface area of the inner mitochondrial membrane, enhancing its ability to produce ATP. For typical liver mitochondria, the area of the inner membrane is about five times as large as the outer membrane. This ratio is variable and mitochondria from cells that have a greater demand for ATP, such as muscle cells, contain even more cristae. These folds are studded with small round bodies known as F1 particles or oxysomes. These are not simple random folds but rather invaginations of the inner membrane, which can affect overall chemiosmotic function. One recent mathematical modeling study has suggested that the optical properties of the cristae in filamentous mitochondria may affect the generation and propagation of light within the tissue.

Mitochondrion

Mitochondrion

http://upload.wikimedia.org/wikipedia/commons/thumb/d/d8/MitochondrionCAM.jpg/250px-MitochondrionCAM.jpg

The matrix is the space enclosed by the inner membrane. It contains about 2/3 of the total protein in a mitochondrion. The matrix is important in thThe MAM is enriched in enzymes involved in lipid biosynthesis, such as phosphatidylserine synthase on the ER face and phosphatidylserine decarboxylase on the mitochondrial face.[28][29] Because mitochondria are dynamic organelles constantly undergoing fission and fusion events, they require a constant and well-regulated supply of phospholipids for membrane integrity.[30][31] But mitochondria are not only a destination for the phospholipids they finish synthesis of; rather, this organelle also plays a role in inter-organelle trafficking of the intermediates and products of phospholipid biosynthetic pathways, ceramide and cholesterol metabolism, and glycosphingolipid anabolisme production of ATP with the aid of the ATP synthase contained in the inner membrane. The matrix contains a highly concentrated mixture of hundreds of enzymes, special mitochondrial ribosomes, tRNA, and several copies of the mitochondrial DNA genome. Of the enzymes, the major functions include oxidation of pyruvate and fatty acids, and the citric acid cycle.

Purified MAM from subcellular fractionation has shown to be enriched in enzymes involved in phospholipid exchange, in addition to channels associated with Ca2+ signaling. The mitochondria-associated ER membrane (MAM) is another structural element that is increasingly recognized for its critical role in cellular physiology and homeostasis. Once considered a technical snag in cell fractionation techniques, the alleged ER vesicle contaminants that invariably appeared in the mitochondrial fraction have been re-identified as membranous structures derived from the MAM—the interface between mitochondria and the ER. Physical coupling between these two organelles had previously been observed in electron micrographs and has more recently been probed with fluorescence microscopy. Such studies estimate that at the MAM, which may comprise up to 20% of the mitochondrial outer membrane, the ER and mitochondria are separated by a mere 10–25 nm and held together by protein tethering complexes.

Such trafficking capacity depends on the MAM, which has been shown to facilitate transfer of lipid intermediates between organelles. In contrast to the standard vesicular mechanism of lipid transfer, evidence indicates that the physical proximity of the ER and mitochondrial membranes at the MAM allows for lipid flipping between opposed bilayers. Despite this unusual and seemingly energetically unfavorable mechanism, such transport does not require ATP. Instead, in yeast, it has been shown to be dependent on a multiprotein tethering structure termed the ER-mitochondria encounter structure, or ERMES, although it remains unclear whether this structure directly mediates lipid transfer or is required to keep the membranes in sufficiently close proximity to lower the energy barrier for lipid flipping.

A critical role for the ER in calcium signaling was acknowledged before such a role for the mitochondria was widely accepted, in part because the low affinity of Ca2+ channels localized to the outer mitochondrial membrane seemed to fly in the face of this organelle’s purported responsiveness to changes in intracellular Ca2+ flux. But the presence of the MAM resolves this apparent contradiction: the close physical association between the two organelles results in Ca2+ microdomains at contact points that facilitate efficient Ca2+ transmission from the ER to the mitochondria. Transmission occurs in response to so-called “Ca2+ puffs” generated by spontaneous clustering and activation of IP3R, a canonical ER membrane Ca2+ channel.

The properties of the Ca2+ pump SERCA and the channel IP3R present on the ER membrane facilitate feedback regulation coordinated by MAM function. In particular, clearance of Ca2+ by the MAM allows for spatio-temporal patterning of Ca2+ signaling because Ca2+ alters IP3R activity in a biphasic manner. SERCA is likewise affected by mitochondrial feedback: uptake of Ca2+ by the MAM stimulates ATP production, thus providing energy that enables SERCA to reload the ER with Ca2+ for continued Ca2+ efflux at the MAM. Thus, the MAM is not a passive buffer for Ca2+ puffs; rather it helps modulate further Ca2+ signaling through feedback loops that affect ER dynamics.

Regulating ER release of Ca2+ at the MAM is especially critical because only a certain window of Ca2+ uptake sustains the mitochondria, and consequently the cell, at homeostasis. Sufficient intraorganelle Ca2+ signaling is required to stimulate metabolism by activating dehydrogenase enzymes critical to flux through the citric acid cycle. However, once Ca2+ signaling in the mitochondria passes a certain threshold, it stimulates the intrinsic pathway of apoptosis in part by collapsing the mitochondrial membrane potential required for metabolism.  Studies examining the role of pro- and anti-apoptotic factors support this model; for example, the anti-apoptotic factor Bcl-2 has been shown to interact with IP3Rs to reduce Ca2+ filling of the ER, leading to reduced efflux at the MAM and preventing collapse of the mitochondrial membrane potential post-apoptotic stimuli. Given the need for such fine regulation of Ca2+ signaling, it is perhaps unsurprising that dysregulated mitochondrial Ca2+ has been implicated in several neurodegenerative diseases, while the catalogue of tumor suppressors includes a few that are enriched at the MAM.

…more

http://en.wikipedia.org/wiki/Mitochondrion

Lysosome and Apoptosis

Role of autophagy in cancer

R Mathew, V Karantza-Wadsworth & E White

Nature Reviews Cancer 7, 961-967 (Dec 2007) |  http://dx.doi.org:/10.1038/nrc2254

Autophagy is a cellular degradation pathway for the clearance of damaged or superfluous proteins and organelles. The recycling of these intracellular constituents also serves as an alternative energy source during periods of metabolic stress to maintain homeostasis and viability. In tumour cells with defects in apoptosis, autophagy allows prolonged survival. Paradoxically, autophagy defects are associated with increased tumorigenesis, but the mechanism behind this has not been determined. Recent evidence suggests that autophagy provides a protective function to limit tumour necrosis and inflammation, and to mitigate genome damage in tumour cells in response to metabolic stress.

Sustained Activation of mTORC1 in Skeletal Muscle Inhibits Constitutive and Starvation-Induced Autophagy and Causes a Severe, Late-Onset Myopathy

P Castets, S Lin, N Rion, S Di Fulvio, et al.
cell-metabolism 7 May, 2013; 17(5): p731–744   http://dx.doi.org/10.1016/j.cmet.2013.03.015

  • mTORC1 inhibition is required for constitutive and starvation-induced autophagy
  • Sustained activation of mTORC1 causes a severe myopathy due to autophagy impairment
  • TSC1 depletion is sufficient to activate mTORC1 irrespective of other stimuli
  • mTORC1 inactivation is sufficient to trigger LC3 lipidation

Autophagy is a catabolic process that ensures homeostatic cell clearance and is deregulated in a growing number of myopathological conditions. Although FoxO3 was shown to promote the expression of autophagy-related genes in skeletal muscle, the mechanisms triggering autophagy are unclear. We show that TSC1-deficient mice (TSCmKO), characterized by sustained activation of mTORC1, develop a late-onset myopathy related to impaired autophagy. In young TSCmKO mice,

  • constitutive and starvation-induced autophagy is blocked at the induction steps via
  • mTORC1-mediated inhibition of Ulk1, despite FoxO3 activation.

Rapamycin is sufficient to restore autophagy in TSCmKO mice and

  • improves the muscle phenotype of old mutant mice.

Inversely, abrogation of mTORC1 signaling by

  • depletion of raptor induces autophagy regardless of FoxO inhibition.

Thus, mTORC1 is the dominant regulator of autophagy induction in skeletal muscle and

  • ensures a tight coordination of metabolic pathways.

These findings may open interesting avenues for therapeutic strategies directed toward autophagy-related muscle diseases.

Histone deacetylases 1 and 2 regulate autophagy flux and skeletal muscle homeostasis in mice

Viviana Moresi, et al.   PNAS Jan 31, 2012; 109(5): 1649-1654
http://dx.doi.org:/10.1073/pnas.1121159109
http://www.pnas.org/content/109/5/1649/F6.medium.gif

HDAC1 activates FoxO and is both sufficient and required for skeletal muscle atrophy

Beharry, PB. Sandesara, BM. Roberts, et al.
J. Cell Sci. Apr 2014 127 (7) 1441-1453   http://dx.doi.org:/10.1242/​jcs.136390

The Forkhead box O (FoxO) transcription factors are activated, and necessary for the muscle atrophy, in several pathophysiological conditions, including muscle disuse and cancer cachexia. However, the mechanisms that lead to FoxO activation are not well defined. Recent data from our laboratory and others indicate that

  • the activity of FoxO is repressed under basal conditions via reversible lysine acetylation,
  • which becomes compromised during catabolic conditions.

Therefore, we aimed to determine how histone deacetylase (HDAC) proteins contribute to

  • activation of FoxO and induction of the muscle atrophy program.

Through the use of various pharmacological inhibitors to block HDAC activity, we demonstrate that

  • class I HDACs are key regulators of FoxO and the muscle-atrophy program
  • during both nutrient deprivation and skeletal muscle disuse.

Furthermore, we demonstrate, through the use of wild-type and dominant-negative HDAC1 expression plasmids,

  • that HDAC1 is sufficient to activate FoxO and induce muscle fiber atrophy in vivo and
  • is necessary for the atrophy of muscle fibers that is associated with muscle disuse.

The ability of HDAC1 to cause muscle atrophy required its deacetylase activity and

  • was linked to the induction of several atrophy genes by HDAC1,
  • including atrogin-1, which required deacetylation of FoxO3a.

Moreover, pharmacological inhibition of class I HDACs during muscle disuse, using MS-275,

  • significantly attenuated both disuse muscle fiber atrophy and contractile dysfunction.

Together, these data solidify the importance of class I HDACs in the muscle atrophy program and

  • indicate that class I HDAC inhibitors are feasible countermeasures to impede muscle atrophy and weakness.

Autophagy and thyroid carcinogenesis: genetic and epigenetic links
F Morani, R Titone, L Pagano, et al.  Endocr Relat Cancer Feb 1, 2014 21 R13-R29
http://dx.doi.org:/10.1530/ERC-13-0271

Autophagy is a vesicular process for the lysosomal degradation of protein aggregates and

  • of damaged or redundant organelles.

Autophagy plays an important role in cell homeostasis, and there is evidence that

  • this process is dysregulated in cancer cells.

Recent in vitro preclinical studies have indicated that autophagy is

  • involved in the cytotoxic response to chemotherapeutics in thyroid cancer cells.

Indeed, several oncogenes and oncosuppressor genes implicated in thyroid carcinogenesis

  • also play a role in the regulation of autophagy.

In addition, some epigenetic modulators involved in thyroid carcinogenesis also influence autophagy. In this review, we highlight the genetic and epigenetic factors that

  • mechanistically link thyroid carcinogenesis and autophagy, thus substantiating the rationale for
  • an autophagy-targeted therapy of aggressive and radio-chemo-resistant thyroid cancers.

Read Full Post »

Transcription Modulation

Author and Curator: Larry H. Bernstein, MD, FCAP 

 

This portion of the transcription series deals with transcription factors and the effects of their binding on metabolism. This also has implications for pharmaceutical target identification.

The Functional Consequences of Variation in Transcription Factor Binding
DA. Cusanovich, B Pavlovic, JK. Pritchard*, Y Gilad*
1 Department of Human Genetics, 2 Howard Hughes Medical Institute, University of Chicago, Chicago, IL 3 Departments of Genetics and Biology and Howard Hughes Medical Institute, Stanford University, Stanford, CA.
PLoS Genet 2014;10(3):e1004226.  http://dx.doi.org:/10.1371/journal.pgen.1004226

One goal of human genetics is to understand how the information for precise and dynamic gene expression programs is encoded in the genome. The interactions of transcription factors (TFs) with DNA regulatory elements clearly

  • play an important role in determining gene expression outputs, yet
  • the regulatory logic underlying functional transcription factor binding is poorly understood.

An important question in genomics is to understand how a class of proteins called ‘‘transcription factors’’ controls the expression level of other genes in the genome in a cell type-specific manner – a process that is essential to human development. One major approach to this problem is to study where these transcription factors bind in the genome, but this does not tell us about the effect of that binding on gene expression levels and

  • it is generally accepted that much of the binding does not strongly influence gene expression.

To address this issue, we artificially reduced the concentration of 59 different transcription factors in the cell and then

  • examined which genes were impacted by the reduced transcription factor level.

Our results implicate some attributes

  • that might influence what binding is functional, but they also suggest that
  • a simple model of functional vs. non-functional binding may not suffice.

Many studies have focused on characterizing the genomic locations of TF binding, but

  • it is unclear whether TF binding at any specific locus has
  • functional consequences with respect to gene expression output.

We knocked down 59 TFs and chromatin modifiers in one HapMap lymphoblastoid cell line

  • to evaluate the context of functional TF binding.

We then identified genes whose expression was affected by the knockdowns

  • by intersecting the gene expression data with transcription factor binding data
    (based on ChIP-seq and DNase-seq)
  • within 10 kb of the transcription start sites of expressed genes.

This combination of data allowed us to infer functional TF binding.
Only a small subset of genes bound by a factor were

  • differentially expressed following the knockdown of that factor,
  • suggesting that most interactions between TF and chromatin
  • do not result in measurable changes in gene expression levels
  • of putative target genes.

We found that functional TF binding is enriched

  • in regulatory elements that harbor a large number of TF binding sites,
  • at sites with predicted higher binding affinity, and
  • at sites that are enriched in genomic regions annotated as ‘‘active enhancers.’’

We aim to be able to predict the expression pattern of a gene based on its regulatory
sequence alone. However, the regulatory code of the human genome is much more complicated than

  • the triplet code of protein coding sequences, and is highly context-specific,
  • depending on cell-type and other factors.

Moreover, regulatory regions are not necessarily organized into

  • discrete, easily identifiable regions of the genome and
  • may exert their influence on genes over large genomic distances

Genomic studies addressing questions of the regulatory logic of the human genome have largely taken one of two approaches.

  1. collecting transcription factor binding maps using techniques such as ChIPseq
    and DNase-seq
  2. mapping various quantitative trait loci (QTL), such as gene expression levels
    (eQTLs) [7], DNA methylation (meQTLs) [8] and chromatin accessibility (dsQTLs)

Cumulatively, binding map studies and QTL map studies have

  • led to many insights into the principles and mechanisms of gene regulation.

However, there are questions that neither mapping approach on its own is well equipped to address. One outstanding issue is

  • the fraction of factor binding in the genome that is ‘‘functional’’,
    which we define here to mean that
  • disturbing the protein-DNA interaction leads to a measurable
  • downstream effect on gene regulation.

Transcription factor knockdown could be used to address this problem, whereby

  • the RNA interference pathway is employed to greatly reduce
  • the expression level of a specific target gene by using small interfering RNAs (siRNAs).

The response to the knockdown can then be measured by collecting RNA after the knockdown and

  • measuring global changes in gene expression patterns
  • after specifically attenuating the expression level of a given factor.

Combining a TF knockdown approach with TF binding data can help us to

  • distinguish functional binding from non-functional binding

This approach has previously been applied to the study of human TFs, although for the most part studies have only focused on

  • the regulatory relationship of a single factor with its downstream targets.

The FANTOM consortium knocked down 52 different transcription factors in

  • the THP-1 cell line, an acute monocytic leukemia-derived cell line, and
  • used a subset of these to validate certain regulatory predictions based on binding motif enrichments.

We and others previously studied the regulatory architecture of gene expression in

  • the model system of HapMap lymphoblastoid cell lines (LCLs) using both
  • binding map strategies and QTL mapping strategies.

We now sought to use knockdown experiments targeting transcription factors in a HapMap LCL

  • to refine our understanding of the gene regulatory circuitry of the human genome.

Therefore, We integrated the results of the knockdown experiments with previous data on TF binding to

  • better characterize the regulatory targets of 59 different factors and
  • to learn when a disruption in transcription factor binding
  • is most likely to be associated with variation in the expression level of a nearby gene.

Gene expression levels following the knockdown were compared to

  • expression data collected from six samples that were transfected with negative control siRNA.

The expression data from all samples were normalized together using

  • quantile  normalization followed by batch correction using the RUV-2 method.

We then performed several quality control analyses to confirm

  1. that the quality of the data was high,
  2. that there were no outlier samples, and
  3. that the normalization methods reduced the influence of confounders

In order to identify genes that were expressed at a significantly different level

  • in the knockdown samples compared to the negative controls,
  • we used likelihood-ratio tests within the framework of a fixed effect linear model.

Following normalization and quality control of the arrays,

  • we identified genes that were differentially expressed between
  • the three knockdown replicates of each factor and the six controls.

Depending on the factor targeted, the knockdowns resulted in

  • between 39 and 3,892 differentially expressed genes at an FDR of 5%
    (Figure 1B; see Table S3 for a summary of the results).

The knockdown efficiency for the 59 factors ranged

  • from 50% to 90% (based on qPCR; Table S1).

The qPCR measurements of the knockdown level were significantly

  • correlated with estimates of the TF expression levels
  • based on the microarray data (P =0.001; Figure 1C).

Reassuringly, we did not observe a significant correlation between

  • the knockdown efficiency of a given factor and
  • the number of genes classified as differentially expressed foci.

Because we knocked down 59 different factors in this experiment

  • we were able to assess general patterns associated with the perturbation of transcription factors
  • beyond merely the number of affected target genes.

Globally, despite the range in the number of genes we identified as

  • differentially expressed in each knockdown,
  • the effect sizes of the differences in expression were relatively modest and
  • consistent in magnitude across all knockdowns.

The median effect size following the knockdown experiment for genes classified as

  • differentially expressed at an FDR of 5% in any knockdown was
  • a 9.2% difference in expression level between the controls and the knockdown (Figure 2),
  • while the median effect size for any individual knockdown experiment ranged between 8.1% and 11.0%.
    (this was true whether we estimated the knockdown effect based on qPCR (P = 0.10; Figure 1D) or microarray (P = 0.99; not shown) data.

Nor did we observe a correlation between

  • variance in qPCR-estimated knockdown efficiency (between replicates) and
  • the number of genes differentially expressed (P = 0.94; Figure 1E).

We noticed that the large variation in the number of differentially expressed genes

  • extended even to knockdowns of factors from the same gene family.

Figure 1. Differential expression analysis.
(a) Examples of differential expression analysis results for the genes HCST and IRF4. The top two panels are ‘MA plots’ of the mean Log2(expression level) between the knockdown arrays and the controls for each gene (x-axis) to the Log2(Fold-Change) between the knockdowns and controls (y-axis). Differentially expressed genes at an FDR of 5% are plotted in yellow (points 50% larger). The gene targeted by the siRNA is highlighted in red. The bottom two panels are ‘volcano plots’ of the Log2(Fold-Change) between the knockdowns and controls (x-axis) to the P-value for differential expression (y-axis). The dashed line marks the 5% FDR threshold. Differentially expressed genes at an FDR of 5% are plotted in yellow (points 50% larger). The red dot marks the gene targeted by the siRNA.
(b) Barplot of number of differentially expressed genes in each knockdown experiment.
(c) Comparison of the knockdown level measured by qPCR (RNA sample collected 48 hours posttransfection) and the knockdown level measured by microarray.
(d) Comparison of the level of knockdown of the transcription factor at 48 hrs (evaluated by qPCR; x-axis) and the number of genes differentially expressed in the knockdown experiment (y-axis).
(e) Comparison of the variance in knockdown efficiency between replicates for each transcription factor (evaluated by qPCR; x-axis) and the number of differentially expressed genes in the knockdown experiment (y-axis).

Differential expression analysis

Differential expression analysis

http://dx.doi.org:/10.1371/journal.pgen.1004226.g001

Figure 2. Effect sizes for differentially expressed genes.
Boxplots of absolute Log2(fold-change) between knockdown arrays and control arrays for all genes identified as differentially expressed in each experiment. Outliers are not plotted. The gray bar indicates the interquartile range across all genes differentially expressed in all knockdowns. Boxplots are ordered by the number of genes differentially expressed in each experiment. Outliers were not plotted.

Effect sizes for differentially expressed genes

Effect sizes for differentially expressed genes

http://dx.doi.org:/10.1371/journal.pgen.1004226.g002

Knocking down SREBF2 (1,286 genes differentially expressed), a key regulator of cholesterol homeostasis,

  • results in changes in the expression of genes that are
  • significantly enriched for cholesterol and sterol biosynthesis annotations.

While not all factors exhibited striking enrichments for relevant functional categories and pathways,

  • the overall picture is that perturbations of many of the factors
  • primarily affected pathways consistent with their known biology.

In order to assess functional TF binding, we next incorporated

  • binding maps together with the knockdown expression data.

We combined binding data based on DNase-seq footprints in 70 HapMap LCLs, reported by Degner et al. (Table S5)

  • and from ChIP-seq experiments in LCL GM12878, published by ENCODE.

We were thus able to obtain genome wide binding maps for a total of 131 factors that were either

  • directly targeted by an siRNA in our experiment (29 factors) or were
  • differentially expressed in one of the knockdown experiments.

We classified a gene as a bound target of a particular factor when

  • binding of that factor was inferred within 10kb of the transcription start site (TSS) of the target gene.

Using this approach, we found that the 131 TFs were bound

  • in proximity to a median of 1,922 genes per factor (range 11 to 7,053 target genes).

We considered binding of a factor to be functional if the target gene

  • was differentially expressed after perturbing the expression level the bound transcription factor.

We then asked about the concordance between

  • the transcription factor binding data and the knockdown expression data.
  •  the extent to which differences in gene expression levels following the knockdowns
  • might be predicted by binding of the transcription factors
  • within the putative regulatory regions of the responsive genes. and also
  • what proportion of putative target (bound) genes of a given TF were
  • differentially expressed following the knockdown of the factor.

Focusing only on the binding sites classified using the DNase-seq data
(which were assigned to a specific instance of the binding motif, unlike the ChIP data),

  • we examined sequence features that might distinguish functional binding.

In particular, whether binding at conserved sites was more likely to be functional  and

  • whether binding sites that better matched the known PWM for the factor were more likely to be functional.

We did not observe a significant shift in the conservation of functional binding sites (Wilcoxon rank sum P = 0.34),

  • but we did observe that binding around differentially expressed genes occurred at sites
  • that were significantly better matches to the canonical binding motif.

Figure 3. Intersecting binding data and expression data for each knockdown.
(a) Example Venn diagrams showing the overlap of binding and differential expression for the knockdowns of HCST and IRF4 (the same genes as in Figure 1).
(b) Boxplot summarizing the distribution of the fraction of all expressed genes that are bound by the targeted gene or downstream factors.
(c) Boxplot summarizing the distribution of the fraction of bound genes that are classified as differentially expressed, using an FDR of either 5% or 20%.

Intersecting binding data and expression data for each knockdown

Intersecting binding data and expression data for each knockdown

http://dx.doi.org:/10.1371/journal.pgen.1004226.g003

Considering bound targets determined from either the ChIP-seq or DNase-seq data, we observed that

  • differentially expressed genes were associated with both
  • a higher number of binding events for the relevant factors within 10 kb of the TSS (P,10216; Figure 4A)
  • as well as with a larger number of different binding factors
    (considering the siRNA-targeted factor and any TFs that were DE in the knockdown; P,10216; Figure 4B).

Figure 4. Degree of binding correlated with function. Boxplots comparing
(a) the number of sites bound, and
(b) the number of differentially expressed transcription factors binding events near functionally or non-functionally bound genes. We considered binding for siRNA-targeted factor and any factor differentially expressed in the knockdown.
(c) Focusing only on genes differentially expressed in common between each pairwise set of knockdowns we tested for enrichments of functional binding (y-axis). Pairwise comparisons between knockdown experiments were binned by the fraction of differentially expressed transcription factors in common between the two experiments. For these boxplots, outliers were not plotted.

Degree of binding correlated with function

Degree of binding correlated with function

http://dx.doi.org:/10.1371/journal.pgen.1004226.g004

We examined the distribution of binding about the TSS. Most factor binding was concentrated

  • near the TSS whether or not the genes were classified as differentially expressed (Figure 5A).
  • the distance from the TSS to the binding sites was significantly longer for differentially expressed genes (P,10216; Fig. 5B).

Figure 5. Distribution of functional binding about the TSS.
(a) A density plot of the distribution of bound sites within 10 kb of the TSS for both functional and non-functional genes. Inset is a zoom-in of the region +/21 kb from the TSS (b) Boxplots comparing the distances from the TSS to the binding sites for functionally bound genes and non-functionally bound genes. For the boxplots, 0.001 was added before log10 transforming the distances and outliers were not plotted.

Distribution of functional binding about the TSS

Distribution of functional binding about the TSS

http://dx.doi.doi:/10.1371/journal.pgen.1004226.g005

We investigated the distribution of factor binding across various chromatin states, as defined by Ernst et al. This dataset lists

  • regions of the genome that have been assigned to different activity states
  • based on ChIP-seq data for various histone modifications and CTCF binding.

For each knockdown, we separated binding events

  • by the genomic state in which they occurred and then
  • tested whether binding in that state was enriched around differentially expressed genes.

After correcting for multiple testing of genes that were differentially expressed.

  • 19 knockdowns showed significant enrichment for binding in ‘‘strong enhancers’’
  • four knockdowns had significant enrichments for ‘‘weak enhancers’’,
  • eight knockdowns showed significant depletion of binding in ‘‘active promoters’’ ,
  • six knockdowns had significant depletions for ‘‘transcription elongation’’,

Did the factors tended to have a consistent effect (either up- or down-regulation)

  • on the expression levels of genes they purportedly regulated?

All factors we tested are associated with both up- and down-regulation of downstream targets (Figure 6).

A slight majority of downstream target genes were expressed at higher levels

  • following the knockdown for 15 of the 29 factors for which we had binding information (Figure 6B).

The factor that is associated with the largest fraction (68.8%) of up-regulated target genes following the knockdown is EZH2,

  • the enzymatic component of the Polycomb group complex.

On the other end of the spectrum was JUND, a member of the AP-1 complex, for which

  • 66.7% of differentially expressed targets were down-regulated following the knockdown.

Figure 6. Magnitude and direction of differential expression after knockdown.
(a) Density plot of all Log2(fold-changes) between the knockdown arrays and controls for genes that are differentially expressed at 5% FDR in one of the knockdown experiments as well as bound by the targeted transcription factor.
(b) Plot of the fraction of differentially expressed putative direct targets that were up-regulated in each of the knockdown experiments.

Magnitude and direction of differential expression after knockdown

Magnitude and direction of differential expression after knockdown

http://dx.doi.org:/10.1371/journal.pgen.1004226.g006

We found no correlation between the number of paralogs and the fraction of bound targets that were differentially expressed. We also did not observe a significant correlation when we considered whether

  • the percent identity of the closest paralog might be predicative of
  • the fraction of bound genes that were differentially expressed following the knockdown (Figure S8).

While there is compelling evidence for our inferences, the current chromatin functional annotations

  • do not fully explain the regulatory effects of the knockdown experiments.

For example, the enrichments for binding in ‘‘strong enhancer’’ regions of the genome range from 7.2% to 50.1% (median = 19.2%),

  • much beyond what is expected by chance alone, but far from accounting for all functional binding.

In addition to considering

  • the distinguishing characteristics of functional binding, we also examined
  • the direction of effect that perturbing a transcription factor had on the expression level of its direct targets.

We specifically addressed whether

  • knocking down a particular factor tended to drive expression of its putatively direct (namely, bound) targets up or down,
  • which can be used to infer that the factor represses or activates the target, respectively.

Transcription factors have traditionally been thought of primarily as activators, and previous work from our group is consistent with that notion. Surprisingly, the most straightforward inference from the present study is that

  • many of the factors function as repressors at least as often as they function as activators.
  1. EZH2 had a negative regulatory relationship with the largest fraction of direct targets (68.8%),
    consistent with – the known role of EZH2 as the active member of the Polycomb group complex PC2
  2. while JUND seemed to have a positive regulatory relationship with the largest fraction of direct targets (66.7%),
    and with – the biochemical characterization of the AP-1 complex (of which JUND is a component) as a transactivator.

More generally, however, our results, combined with the previous work from our group and others make for a complicated view

  • of the role of transcription factors in gene regulation as
  • it seems difficult to reconcile the inference from previous work that
  • many transcription factors should primarily act as activators with the results presented here.

One somewhat complicated hypothesis, which nevertheless can resolve the apparent discrepancy, is that

  • the ‘‘repressive’’ effects we observe for known activators may be
  • at sites in which the activator is acting as a weak enhancer of transcription and
  • that reducing the cellular concentration of the factor
  • releases the regulatory region to binding by an alternative, stronger activator.

To more explicitly address the effect that our proximity-based definition of target genes might have on our analyses, we reanalyzed

  • the overlap between factor binding and differential expression following the knockdowns
  • using an independent, empirically determined set of target genes.

Thurman et al. used correlations in DNase hypersensitivity between

  • intergenic hypersensitive sites and promoter hypersensitive sites across diverse tissues
  • to assign intergenic regulatory regions to specific genes,
  • independently of proximity to a particular promoter.

We performed this alternative analysis in which we

  • assigned binding events to genes based on the classification of Thurman et al.

We then considered the overlap between binding and differential expression in this new data set. The results were largely

  • consistent with our proximity-based observations.

A median of 9.5% of genes that were bound by a factor were

  • also differentially expressed following the knockdown of that factor
    (compared to 11.1% when the assignment of binding sites to genes is based on proximity).

From the opposite perspective, a median of 28.0% of differentially expressed genes were bound by that factor
(compared to 32.3% for the proximity based definition). The results of this analysis are summarized in Table S7.

Our results should not be considered a comprehensive census of regulatory events in the human genome. Instead, we adopted a gene-centric approach,

  • focusing only on binding events near the genes for which we could measure expression
  • to learn some of the principles of functional transcription factor binding.

In light of our observations a reassessment of our estimates of binding may be warranted. In particular, because functional binding is skewed away from promoters (our system is apparently not well-suited to observe functional promoter binding, perhaps because of protection by large protein complexes),

  • a more conservative estimate of the fraction of binding that is indeed functional would not consider data within the promoter.

Importantly, excluding the putative promoter region from our analysis (i.e. only considering a window .1 kb from the TSS and ,10 kb from the TSS)

  • does not change our conclusions.

Considering this smaller window,

  • a median of 67.0% of expressed genes are still classified as bound by
  1. either the knocked down transcription factor or
  2. a downstream factors that is differentially expressed in each experiment,

yet a median of only 8.1% of the bound genes are

  • also differentially expressed after the knockdowns.

Much of what distinguishes functional binding (as we define it) has yet to be explained. We are unable to explain much of the differential expression observed in our experiments by the presence of least one relevant binding event. This may not be altogether surprising, as

  • we are only considering binding in a limited window around the transcription start site.

To address these issues, more factors should be perturbed to further evaluate the robustness of our results and to add insight. Together, such studies will help us develop a more sophisticated understanding of functional transcription factor binding in particular, the gene regulatory logic more generally.

Assessing quality and completeness of human transcriptional regulatory pathways on a genome-wide scale

E Shmelkov, Z Tang, I Aifantis, A Statnikov*
Biology Direct 2011; 6(15).  http://www.biology-direct.com/content/6/1/15

Recently the biological pathways have become a common and probably the most popular form of representing biochemical information for hypothesis generation and validation. These maps store wide knowledge of complex molecular interactions and regulations occurring in the living organism in a simple and obvious way, often using intuitive graphical notation. Two major types of biological pathways could be distinguished.

  1. Metabolic pathways incorporate complex networks of protein-based interactions and modifications, while
  2. signal transduction and transcriptional regulatory pathways are usually considered to provide information on mechanisms of transcription

While there are a lot of data collected on human metabolic processes,

  • the content of signal transduction and transcriptional regulatory pathways varies greatly in quality and completeness.

An indicative comparison of MYC transcriptional targets reported in ten different pathway databases reveals that these databases differ greatly from each other (Figure 1). Given that MYC is involved

  • in the transcriptional regulation of approximately 15% of all genes,

one cannot argue that the majority of pathway databases that contain

  • less than thirty putative transcriptional targets of MYC are even close to complete.

More importantly, to date there have been no prior genome-wide evaluation studies (that are based on genome-wide binding and gene expression assays) assessing pathway databases

Background: While pathway databases are becoming increasingly important in most types of biological and translational research, little is known about the quality and completeness of pathways stored in these databases. The present study conducts a comprehensive assessment of transcriptional regulatory pathways in humans for seven well-studied transcription factors:

  1. MYC,
  2. NOTCH1,
  3. BCL6,
  4. TP53,
  5. AR,
  6. STAT1,
  7. RELA.

The employed benchmarking methodology first involves integrating

  • genome-wide binding with functional gene expression data
  • to derive direct targets of transcription factors.

Then the lists of experimentally obtained direct targets

  • are compared with relevant lists of transcriptional targets from 10 commonly used pathway databases.

Results: The results of this study show that for the majority of pathway databases,

  • the overlap between experimentally obtained target genes and
  • targets reported in transcriptional regulatory pathway databases is
  • surprisingly small and often is not statistically significant.

The only exception is MetaCore pathway database which

  • yields statistically significant intersection with experimental results in 84% cases.

The lists of experimentally derived direct targets obtained in this study can be used

  • to reveal new biological insight in transcriptional regulation,  and we
  • suggest novel putative therapeutic targets in cancer.

Conclusions: Our study opens a debate on validity of using many popular pathway databases to obtain transcriptional regulatory targets. We conclude that the choice of pathway databases should be informed by

  • solid scientific evidence and rigorous empirical evaluation.

In the current study we perform

(1) an evaluation of ten commonly used pathway databases,

  • assessing the transcriptional regulatory pathways, considered in the current study as
  • the interactions of the type ‘transcription factor-transcriptional targets’.

This involves integration of human genome wide functional microarray or RNA-seq gene expression data with

  • protein-DNA binding data from ChIP-chip, ChIP-seq, or ChIP-PET platforms
  • to find direct transcriptional targets of the seven well known transcription factors:
  • MYC, NOTCH1, BCL6, TP53, AR, STAT1, and RELA.

The choice of transcription factors is based on their important role in oncogenesis and availability of binding and expression data in the public domain.

(2) the lists of experimentally derived direct targets are used to assess the quality and completeness of 84 transcriptional regulatory pathways from four publicly available (BioCarta, KEGG, WikiPathways and Cell Signaling Technology) and six commercial (MetaCore, Ingenuity Pathway Analysis, BKL TRANSPATH, BKL TRANSFAC, Pathway Studio and GeneSpring Pathways) pathway databases.

(3) We measure the overlap between pathways and experimentally obtained target genes and assess statistical significance of this overlap, and we demonstrate that experimentally derived lists of direct transcriptional targets

  • can be used to reveal new biological insight on transcriptional regulation.

We show this by analyzing common direct transcriptional targets of

  • MYC, NOTCH1 and RELA
  • that act in interconnected molecular pathways.

Detection of such genes is important as it could reveal novel targets of cancer therapy.

Figure 1 Number of genes in common between MYC transcriptional targets derived from ten different pathway databases. Cells are colored according to their values from white (low values) to red (high values). (not shown)

statistical methodology for comparison

statistical methodology for comparison

Figure 2 Illustration of statistical methodology for comparison between a gold-standard and a pathway database

Since we are seeking to compare gene sets from different studies/databases, it is essential to transform genes to standard identifiers. That is why we transformed all
gene sets to the HUGO Gene Nomenclature Committee approved gene symbols and names. In order to assess statistical significance of the overlap between the resulting gene sets, we used the hypergeometric test at 5% a-level with false discovery rate correction for multiple comparisons by the method of Benjamini and Yekutieli. The alternative hypothesis of this test is that two sets of genes (set A from pathway
database and set B from experiments) have greater number of genes in common than two randomly selected gene sets with the same number of genes as in sets A and B. For example, consider that for some transcription factor there are 300 direct targets in the pathway database #1 and 700 in the experimentally derived list (gold-standard), and their intersection is 16 genes (Figure 2a). If we select on random from a total of
20,000 genes two sets with 300 and 700 genes each, their overlap would be greater or equal to 16 genes in 6.34% times. Thus, this overlap will not be statistically significant at 5% a-level (p = 0.0634). On the other hand, consider that for the pathway database #2, there are 30 direct targets of that transcription factor, and their intersection with the 700-gene gold-standard is only 6 genes. Even though the size of this intersection is rather small, it is unlikely to randomly select 30 genes (out of 20,000) with an overlap greater or equal to 6 genes with a 700-gene gold-standard (p = 0.0005, see Figure 2a). This overlap is statistically significant at 5% a-level.

We also calculate an enrichment fold change ratio (EFC) for every intersection between a gold-standard and a pathway database. For a given pair of a gold-standard and a pathway database, EFC is equal to the observed number of genes in their intersection, divided by the expected size of intersection under the null hypothesis (plus machine epsilon, to avoid division by zero). Notice however that larger values of EFC may correspond to databases that are highly incomplete and contain only a few relations. For example, consider that for some transcription factor there are 300 direct targets in the pathway database #1 and 50 in the experimentally derived list (gold-standard), and their intersection is 30 genes (Figure 2b). If we select on random from a total of 20,000 genes two sets with 300 and 50 genes each, their expected overlap under the null hypothesis will be equal to 0.75. Thus, the EFC ratio will be equal to 40 (= 30/0.75). On the other hand, consider that for the pathway database #2, there are 2 direct
targets of that transcription factor, and their intersection with the 50-gene gold-standard is only 1 gene. Even though the expected overlap under the null hypothesis will be equal to 0.005 and EFC equal to 200 (5 times bigger than for the database #1), the size of this intersection with the gold-standard is 30 times less than for database #1 (Figure 2b).

Figure 3 Comparison between different pathway databases and experimentally derived gold-standards for all considered transcription factors. Value in a given cell is a number of overlapping genes between a gold-standard and a pathway-derived gene set. Cells
are colored according to their values from white (low values) to red (high values). Underlined values in red represent statistically significant intersections. (not shown)

Figure 4 Summary of the pathway databases assessment. Green cells represent statistically significant intersections between experimentally derived gold-standards and transcriptional regulatory pathways. White cells denote results that are not statistically significant. Numbers are the enrichment fold change ratios (EFC) calculated for each intersection. (not shown)

At the core of this study was creation of gold-standards of transcriptional regulation in humans that can be compared with target genes reported in transcriptional regulatory pathways. We focused on seven well known transcription factors and obtained gold-standards

  • by integrating genome-wide transcription factor-DNA binding data (from ChIP-chip, ChIP-seq, or ChIP-PET platforms)
  • with functional gene expression microarray and RNA-seq data.

The latter data allows to survey changes in the transcriptomes on a genome-wide scale

  • after the inhibition or over-expression of the transcription factor in question.

However, change in the expression of a particular gene could be caused either by the direct effect of the removal or introduction of a given transcription factor, as well as by an indirect effect, through the change in expression level of some other gene(s). It is essential

  • to integrate data from these two sources to
  • obtain an accurate list of gene targets that are directly regulated by a transcription factor.

It is worth noting that tested pathway databases typically do not give distinction between cell-lines, experimental conditions, and other details relevant to experimental systems in which data were obtained. These databases in a sense propose a ‘universal’ list of transcriptional targets. However, it is known that

  • transcriptional regulation in a cell is dynamic and works differently for different systems and stimuli.

This accentuates the major limitation of pathway databases and emphasizes

  • importance of deriving a specific list of transcriptional targets for the current experimental system.

In this study we followed the latter approach by developing gold-standards for specific cell characterized biological systems and experimental conditions.

The approach used here  for building gold-standards of direct mechanistic knowledge has several limitations. (see article).  Nevertheless, our results suggest that multiple transcription factors can co-operate and control both physiological differentiation and malignant transformation, as demonstrated utilizing combinatorial gene-profiling for

  • NOTCH1, MYC and RELA targets.

These studies might lead us to multi-pathway gene expression “signatures”

  • essential for the prediction of genes that could be targeted in cancer treatments.

In agreement with this hypothesis, several of the genes identified in our analysis have been suggested to be putative therapeutic targets in leukemia, with either preclinical or clinical trials underway (CDK4, CDK6, GSK3b, MYC, LCK, NFkB2, BCL2L1, NOTCH1).

Single-molecule tracking in live cells reveals distinct target-search strategies of transcription factors in the nucleus

I Izeddin†, V Récamier†‡, L Bosanac, II Cissé, L Boudarene, et al.
1Functional Imaging of Transcription, Institut de Biologie de l’Ecole Normale Supérieure (IBENS), Inserm, and CNRS UMR; 2Laboratoire Kastler Brossel, CNRS UMR, Departement de Physique et Institut de Biologie
de l’Ecole Normale Supérieure (IBENS), Paris, Fr; 3Transcription Imaging Consortium, Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, US; + more.
Biophysics and structural biology | Cell biology eLife 2014;3:e02230. http://dx.doi.org:/10.7554/eLife.02230

Transcription factors are

  • proteins that control the expression of genes in the nucleus, and
  • they do this by binding to other proteins or DNA.

First, however, these regulatory proteins need to overcome the challenge of

  • finding their targets in the nucleus, which is crowded with other proteins and DNA.

Much research to date has focused on measuring how fast proteins can diffuse and spread out throughout the nucleus. However these measurements only make sense if these proteins have access to the same space within the nucleus.

Now, Izeddin, Récamier et al. have developed a new technique to track

  • single protein molecules in the nucleus of mammalian cells.

A transcription factor called c-Myc and another protein called P-TEFb

  • were tracked and while they diffused at similar rates,
  • they ‘explored’ the space inside the nucleus in very different ways.

Izeddin, Récamier et al. found that c-Myc explores the nucleus in a so-called ‘non-compact’ manner: this means that it

  • can move almost everywhere inside the nucleus, and has an equal chance
  • of reaching any target regardless of its position in this space.

P-TEFb, on the other hand, searches

  • the nucleus in a ‘compact’ way.

This means that it is constrained to follow a specific path

  • through the nucleus and is therefore guided to its potential targets.

Izeddin, Récamier et al. explain that

  • the different ‘search strategies’ used by these two proteins
  • influence how long it takes them to find their targets and
  • how far they can travel in a given time.

These findings, together with information about

  • where and when different proteins interact in the nucleus,

will be essential to understand how the organization of the genome within the nucleus

  • can control the expression of genes.

The next challenge will now be to

  • uncover what determines a
  • protein’s search strategy in the nucleus, as well as
  • the potential ways that this strategy might be regulated.

Mueller et al., 2010; Normanno et al., 2012). These transient interactions are essential to ensure a fine regulation of binding site occupancy—by competition or by altering the TF concentration—but must also be persistent enough to enable the assembly of multicomponent complexes (Dundr, 2002; Darzacq and Singer, 2008; Gorski et al., 2008; Cisse et al., 2013).
In parallel to the experimental evidence of the fast diffusive motion of nuclear factors, our understanding of the intranuclear space has evolved from a homogeneous environment to an organelle where spatial arrangement among genes and regulatory sequences play an important role in transcriptional control (Heard and Bickmore, 2007). The nucleus of eukaryotes displays a hierarchy of organized structures (Gibcus and Dekker, 2013) and is often referred to as a
crowded environment.
How crowding influences transport properties of macromolecules and organelles in the cell is a fundamental question in quantitative molecular biology. While a restriction of the available space for diffusion can slow down transport processes, it can also channel molecules towards their targets increasing their chance to meet interacting partners. A widespread observation in quantitative cell biology is that the diffusion of molecules is anomalous, often attributed to crowding in the nucleoplasm, cytoplasm, or in the membranes of the cell (Höfling and Franosch, 2013). An open debate remains on how to determine whether diffusion is anomalous or normal (Malchus and Weiss, 2009; Saxton, 2012), and the mechanisms behind anomalous diffusion (Saxton, 2007). The answer to these questions bears important consequences for the understanding of the biochemical reactions of the cell.
The problem of diffusing molecules in non-homogenous media has been investigated in different fields. Following the seminal work of de Gennes (1982a), (1982b) in polymer physics, the study of diffusivity of particles and their reactivity has been generalized to random or disordered media (Kopelman, 1986; Lindenberg et al., 1991). These works have set a framework to interpret the mobility of macromolecular complexes in the cell, and recently in terms of kinetics of biochemical reactions (Condamin et al., 2007). Experimental evidence has also been found, showing the influence
of the glass-like properties of the bacterial cytoplasm in the molecular dynamics of intracellular processes (Parry et al., 2014). These studies demonstrate that the geometry of the medium in which diffusion takes place has important repercussions for the search kinetics of molecules. The notion of compact and non-compact exploration was introduced by de Gennes (1982a) in the context of dense polymers and describes two fundamental types of diffusive behavior. While a non-compact explorer leaves a significant number of available sites unvisited, a compact explorer performs a redundant
exploration of the space. In chemistry, the influence of compactness is well established to describe dimensional effects on reaction rates (Kopelman, 1986).
In this study, we aim to elucidate the existence of different types of mobility of TFs in the eukaryotic nucleus, as well as the principles governing nuclear exploration of factors relevant to transcriptional control. To this end, we used single-molecule (SM) imaging to address the relationship between the nuclear geometry and the search dynamics of two nuclear factors having distinct functional roles: the proto-oncogene c-Myc and the positive transcription elongation factor (P-TEFb). c-Myc is a basic helix-loop-helix DNA-binding transcription factor that binds to E-Boxes; 18,000 E-boxes are found in the genome, and c-Myc affects the transcription of numerous genes (Gallant and Steiger, 2009).
Recently, c-Myc has been demonstrated to be a general transcriptional activator upregulating transcription of nearly all genes (Lin et al., 2012; Nie et al., 2012). P-TEFb is an essential actor in the transcription regulation driven by RNA Polymerase II. P-TEFb is a cyclin-dependent kinase, comprising a CDK9 and a Cyclin T subunit. It phosphorylates the elongation control factors SPT5 and NELF to allow productive elongation of class II gene transcription (Wada et al., 1998). The carboxy-terminal domain (CTD) of the catalytic subunit RPB1 of polymerase II is also a major target of P-TEFb (Zhou et al., 2012). c-Myc and P-TEFb are therefore two good examples of transcriptional regulators binding to numerous sites in the nucleus; the latter binds to the transcription machinery itself and the former directly to DNA.

Single particle tracking (SPT) constitutes a powerful method to probe the mobility of molecules in living cells (Lord et al., 2010). In the nucleus, SPT has been first employed to investigate the dynamics of mRNAs (Fusco et al., 2003; Shav-Tal et al., 2004) or for rheological measurements of the nucleoplasm using inert probes (Bancaud et al., 2009). Recently, the tracking of single nuclear factors has been facilitated by the advent of efficient in situ tagging methods such as Halo
tags (Mazza et al., 2012). An alternative approach takes advantage of photoconvertible tags (Lippincott-Schwartz and Patterson, 2009) and photoactivated localization microscopy (PALM) (Betzig et al., 2006; Hess et al., 2006). Single particle tracking PALM (sptPALM) was first used to achieve high-density diffusion maps of membrane proteins (Manley et al., 2008). However, spt-PALM experiments have typically been limited to proteins with slow mobility (Manley et al., 2008) or those that undergo restricted motions (Frost et al., 2010; English et al., 2011).

Recently, by inclusion of light-sheet illumination, it has been used to determine the binding characteristics of TFs to DNA (Gebhardt et al., 2013). In this study, we developed a new sptPALM procedure adapted for the recording of individual proteins rapidly diffusing in the nucleus of mammalian cells. We used the photoconvertible fluorophore Dendra2 (Gurskaya et al., 2006) and took advantage of tilted illumination (Tokunaga et al., 2008). A careful control of the photoconversion rate minimized the background signal due to out-of-focus activated molecules, and we could thus follow the motion of individual proteins freely diffusing within the nuclear volume. With this sptPALM technique, we recorded large data sets (on the order of 104 single translocations in a single imaging session), which were essential for a proper statistical analysis of the search dynamics.
We applied our technique to several nuclear proteins and found that diffusing factors do not sense a unique nucleoplasmic architecture: c-Myc and P-TEFb adopt different nuclear space-exploration strategies, which drastically change the way they reach their specific targets. The differences observed between the two factors were not due to their diffusive kinetic parameters but to the geometry of their exploration path. c-Myc and our control protein, ‘free’ Dendra2, showed free diffusion in a three-dimensional nuclear space. In contrast, P-TEFb explored the nuclear volume by sampling a space of reduced dimensionality, displaying characteristics of exploration constrained in fractal structures.
The role of the space-sampling mode in the search strategy has long been discussed from a theoretical point of view (de Gennes, 1982a; Kopelman, 1986; Lindenberg et al., 1991). Our experimental results support the notion that it could indeed be a key parameter for diffusion-limited chemical reactions in the closed environment of the nucleus (Bénichou et al., 2010). We discuss the implications of our observations in terms of gene expression control, and its relation to the spatial organization of genes within the nucleus.

Read Full Post »

« Newer Posts - Older Posts »