Feeds:
Posts
Comments

Archive for the ‘Proteomics’ Category

PLD1 tests for Lung Cancer

Larry H. Bernstein, MD, FCAP, Curator

PLBI

 

AACR: Three PD-L1 Biomarker Tests Give Similar Results in Lung Cancer

http://www.oncotherapynetwork.com/lung-cancer-targets/aacr-three-pd-l1-biomarker-tests-give-similar-results-lung-cancer?GUID=08B7ACA4-07B7-4253-8ACC-0C9AAFF0371A&rememberme=1&ts=22042016#sthash.1sWQZ14d.dpuf

 

Three commercial tests that measure levels of PD-L1 on tumors showed similar results on non-small cell lung cancer (NSCLC) tumor samples, according to a study presented at the American Association of Cancer Research (AACR) Annual Meeting, being held April 16-20, 2016, in New Orleans.
Two anti-PD-1 immunotherapy antibodies are now approved for certain patients with metastatic NSCLC (see FDA Approves Keytruda for Metastatic Non-Small Cell Lung Cancer and FDA Approves Nivolumab (Opdivo) for NSCLC).

Several pharmaceutical companies are developing diagnostic tests to measure the levels of PD-L1 protein expression on patients’ tumors. Two clinical trials, with both nivolumab (Opdivo) and pembrolizumab (Keytruda), support the notion that those patients whose tumors have higher levels of PD-L1 on their surface are more likely to respond to anti-PD-1 treatment compared to those patients whose tumors have low or no PD-L1 expression.

“Before our study, we did not know whether the different assays identified the same patients,” said study author Marianne Ratcliffe, PhD, MA, a diagnostic associate director at AstraZeneca, which is developing durvalumab/MEDI4736, an anti-PD-L1 immunotherapy antibody.

The current study compared the Ventana SP263 assay (developed by Ventana) in collaboration with AstraZeneca for use in conjunction with patients treated with durvalumab, the Dako 22C3 assay (by Dako), approved for the US Food and Drug Administration (FDA) as a companion diagnostic to identify patients who are most likely to benefit from pembrolizumab, and the Dako 28-8 assay, approved by the FDA as a complementary diagnostic for nivolumab. All three tests measure the percentage of tumor cells within a sample that stain positive for the surface protein PD-L1. Each test sets a unique cut-off point of test positivity which corresponds to a greater likelihood of response to the immunotherapy among lung cancer patients.

The researchers evaluated the three tests on 500 patient biopsy samples, including both squamous and nonsquamous histologies. The comparison showed that a 25% cutoff using the Ventana SP263 test was similar to the results using the Dako 28-8 test at a 10% cutoff mark. There were similar results between the SP263 and the 22C3 tests at a 50% cut off mark.

The three tests achieved overall percentage agreement of more than 90%, according to Radcliffe. She also noted that this study points to the ability to extrapolate results from one test to another, which in the future, could allow physicians to use the tests interchangeably.

 

Comparison of Three Different PD-L1 Diagnostic Tests Shows a High Degree of Concordance

4/18/2016

NEW ORLEANS — Three commercially available diagnostic tests were similarly effective in measuring  PD-L1 protein expression on non-small cell lung cancer (NSCLC) tumor samples, indicating that health care providers may someday be able to use these tests interchangeably when determining which patients will respond best to anti-PD-L1/PD-1 immunotherapeutic drugs, according to research presented here at the AACR Annual Meeting 2016, April 16-20.Marianne Ratcliffe

“PD-L1-directed antibodies are emerging as effective therapeutics in monotherapy and in combination in multiple oncology settings,” said the study’s lead author, Marianne Ratcliffe, MA, PhD, diagnostic associate director at AstraZeneca. She explained that several different diagnostic tests, or assays, are effective in determining which patients’ tumors express high levels of PD-L1 and might, therefore, respond best to targeted treatment.

“Before our study, we did not know whether the different assays identified the same patients,” Ratcliffe said, adding that the tests were developed on different platforms and use different antibody clones and testing protocols.

“Clearly, for the oncology community, this presents a number of issues, including a lack of confidence in being able to identify appropriate patients for treatment with these targeted therapies,” Ratcliffe said. “Our current study complements the ongoing Blueprint initiative, which is also tackling the issue of PD-L1 assay harmonization.”

This study compared the Ventana SP263 assay, developed by Ventana in collaboration with AstraZeneca for use in evaluating patients for the immunotherapeutic drug durvalumab, an anti-PD-L1; the Dako 22C3 assay, made by Dako and approved for the U.S. Food and Drug Administration (FDA) as a companion diagnostic to identify patients for pembrolizumab (Keytruda), an anti-PD-1; and the Dako 28-8 assay, made by Dako and approved by the FDA as a complementary diagnostic for nivolumab (Opdivo), an anti-PD-1.

All three tests assess the percentage of tumor cells whose membranes stain positive for the PD-L1 protein. A cut-off point is set for each test, and patients whose tumors score above the cut-off point are determined to be more likely to respond to the corresponding therapy, Ratcliffe explained.

In this study, the largest to date, approximately 500 tumor biopsy samples from patients with NSCLC were assessed because all three tests have been previously validated for that disease.
The study determined that the patient population defined by Ventana SP263 at the 25 percent cutoff point is similar to the group identified by the Dako 28-8 at the 10 percent cutoff. The study also showed a high degree of concordance between the SP263 and 22C3 assays if a 50 percent cutoff point was applied in both cases.

Ratcliffe said that the three tests achieved overall percentage agreement of more than 90 percent.  The results also indicate which cutoff points should be used to optimize agreement between a positive or negative PD-L1 result, which will help the medical community to compare results from clinical studies that have used different tests.

Ratcliffe said the study results indicate that it may be possible to extrapolate the results from one test to that of another test, and could someday allow physicians to use the tests interchangeably, though she added that further research is needed to confirm the findings.

 

Read Full Post »

Insight into Blood Brain Barrier

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

 

Gateway to The Brain

This image shows the structural model of critical transporter, Mfsd2a. Source: Duke-NUS Medical School
This image shows the structural model of critical transporter, Mfsd2a. Source: Duke-NUS Medical School.  http://www.dddmag.com/sites/dddmag.com/files/rd1604_brain.jpg

Scientists from Duke-NUS Medical School (Duke-NUS) have derived a structural model of a transporter at the blood-brain barrier called Mfsd2a. This is the first molecular model of this critical transporter, and could prove important for the development of therapeutic agents that need to be delivered to the brain — across the blood-brain barrier. In future, this could help treat neurological disorders such as glioblastoma.

Currently, there are limitations to drug delivery to the brain as it is tightly protected by the blood-brain barrier. The blood-brain barrier is a protective barrier that separates the circulating blood from the central nervous system which can prevent the entry of certain toxins and drugs to the brain. This restricts the treatment of many brain diseases. However, as a transporter at the blood-brain barrier, Mfsd2a is a potential conduit for drug delivery directly to the brain, thus bypassing the barrier.

In this study, recently published in the Journal of Biological Chemistry, first author Duke-NUS MD/PhD student Debra Quek and senior author Professor David Silver used molecular modeling and biochemical analyses of altered Mfsd2a transporters to derive a structural model of human Mfsd2a. Importantly, the work identifies new binding features of the transporter, providing insight into the transport mechanism of Mfsd2a.

“Our study provides the first glimpse into what Mfsd2a looks like and how it might transport essential lipids across the blood-brain barrier,” said Ms Quek. “It also facilitates a structure-guided search and design of scaffolds for drug delivery to the brain via Mfsd2a, or of drugs that can be directly transported by Mfsd2a.”

Currently this information is being used by Duke-NUS researchers to design novel therapeutic agents for direct drug delivery across the blood brain barrier for the treatment of neurological diseases. This initiative by the Centre for Technology and Development (CTeD) at Duke-NUS, is one of many collaborative research efforts aimed at translating Duke-NUS’ research findings into tangible commercial and therapeutic applications for patients.

Ms Quek plans to further validate her findings by purifying the Mfsd2a protein in order to further dissect how it functions as a transporter.

 

J Biol Chem. 2016 Mar 4. pii: jbc.M116.721035. [Epub ahead of print]
Structural insights into the transport mechanism of the human sodium-dependent lysophosphatidylcholine transporter Mfsd2a.

Major Facilitator Superfamily Domain containing 2A (Mfsd2a) was recently characterized as a sodium-dependent lysophosphatidylcholine (LPC) transporter expressed at the blood-brain barrier endothelium. It is the primary route for importation of docosohexaenoic acid and other long-chain fatty acids into foetal and adult brain, and is essential for mouse and human brain growth and function. Remarkably, Mfsd2a is the first identified MFS family member that uniquely transports lipids, implying that Mfsd2a harbours unique structural features and transport mechanism. Here, we present three 3D structural models of human Mfsd2a derived by homology modelling using MelB- and LacY-based crystal structures, and refined by biochemical analysis. All models revealed 12 transmembrane helices and connecting loops, and represented the partially outward-open, outward-partially occluded, and inward-open states of the transport cycle. In addition to a conserved sodium-binding site, three unique structural features were identified: A phosphate headgroup binding site, a hydrophobic cleft to accommodate a hydrophobic hydrocarbon tail, and three sets of ionic locks that stabilize the outward-open conformation. Ligand docking studies and biochemical assays identified Lys436 as a key residue for transport. It is seen forming a salt bridge with the negative charge on the phosphate headgroup. Importantly, Mfsd2a transported structurally related acylcarnitines but not a lysolipid without a negative charge, demonstrating the necessity of a negative charged headgroup interaction with Lys436 for transport. These findings support a novel transport mechanism by which LPCs are flipped within the transporter cavity by pivoting about Lys436 leading to net transport from the outer to the inner leaflet of the plasma membrane.

 

Brain and eye contain membrane phospholipids that are enriched in the omega-3 fatty acid docosohexaenoic acid (DHA). It is widely accepted that DHA is important for brain and eye function and brain development (1,2), although mechanisms for DHA function in these tissues are not well defined.   The mechanism by which DHA and other conditionally essential and essential fatty acids cross the blood-brain barrier (BBB) has been a long-standing mystery. Recently, we identified Major Facilitator Superfamily Domain containing 2a (Mfsd2a, aka NLS1) as the primary transporter by which the brain obtains DHA. Importantly, Mfsd2a does not transport unesterified DHA, but transports DHA in the chemical form of lysophosphatidylcholine (LPC) that are synthesized by the liver and circulate largely on albumin (3). This is consistent with biochemical evidence that the brain does not transport unesterified fatty acids (4) and that LPC is the preferred carrier of DHA to the brain (5,6).   Mfsd2a is a sodium-dependent transporter that is part of the Major Facilitator Superfamily (MFS) of proteins. Members of this family with elucidated structures have 12 transmembrane domains composed of two evolutionarily duplicated 6 transmembrane units (7). Transporting an LPC is a unique feature of Mfsd2a, since most members of this family transport water-soluble and minimally polar substrates such as sugars (GLUT, MelB, LacY), and amino acids (TAT1). Mfsd2a transport is not limited to LPCs containing DHA, as it can transport LPCs containing a variety of fatty acyl chains, with higher specificity for LPCs with unsaturated fatty acyl chains with a minimum chain length of 14 carbons (6,8). Crystal structures have been solved for more than a dozen members of the MFS family, with more than 19 structures, including that of Melibiose permease (MelB) of S. typhimurium (9), Lactose permease (LacY) of Escherichia coli (10), glycerol-3-phosphate transporter of E. coli (11) and the mammalian glucose transporters 1, 3, and 5 (GLUT1, GLUT3, GLUT5) (12-14). A common transport mechanism has emerged from both biochemical and structural analyses of MFSs, in which they transport via a rocker-switch, alternating access mechanism (7,15). In the rocker-switch model, rigid-body relative motion of the N- and C-termini domains renders the substrate-binding site alternatively accessible from either side of the membrane.

Mfsd2a is highly expressed at the bloodbrain barrier in both mouse and human (6,16). Mfsd2a deficient mice (KO) have significantly reduced brain DHA as a result of a 90% reduction in brain uptake of LPC containing DHA as well as other LPCs. The most prominent phenotype of Mfsd2a KO mice is microcephaly, and KO mice additionally exhibit motor dysfunction, and behavioral disorders including anxiety and memory and learning deficits (6). In line with the mouse KO phenotypes, human patients with partially or completely inactivating mutations in Mfsd2a presented with severe microcephaly, intellectual disability, and motor dysfunction (8,16). Plasma LPCs are significantly elevated in both KO mice and human patients with Mfsd2a mutations, consistent with reduced uptake at the blood-brain barrier. Taken together, these findings demonstrate that LPCs are essential for normal brain development and function in mouse and humans.

The fact that Mfsd2a transports a lysolipid, a non-canonical substrate for an MFS protein, might indicate unique structure features and a novel transport mechanism. However, no structural information or mechanism of transport of Mfsd2a is known. Human Mfsd2a is composed of 530 amino acids, with two glycosylation sites at Asn217 and Asn227. Mfsd2a is evolutionarily conserved from teleost fish to humans. Although not a functional ortholog of bacterial MFS transporters, Mfsd2a shares 25% and 26% amino acid sequence identity with S. typhimurium MelB (9,17), and LacY from E. coli (10), respectively. Given the high conservation of the MFS fold, the use of homology modeling to gain insight into the structure of S. typhimurium MelB, for example, has proven to be highly accurate and largely consistent with subsequent X-ray crystal data (9,18). Here, we take advantage of two recently derived high resolution X-ray crystal structures of S. typhimurium MelB (9), and a high resolution X-ray crystal structure of LacY (10) to generate three predictive structural models of human Mfsd2a. These models reveal three unique regions critical for function – an LPC headgroup binding site, a hydrophobic cleft occupied by the LPC fatty acyl tail, and three sets of ionic locks. These structural features indicate a novel mechanism of transport for LPCs.

Mfsd2a is a sodium-dependent lysophosphatidylcholine transporter essential for human brain growth and function (40). Mfsd2a is the only known MFS member or secondary transporter that transports a lipid. In line with its unique function, the current study has identified three unique structural features based on a combination of homology structural modeling and biochemical analysis – (1) a unique headgroup binding site and (2) a hydrophobic cleft for acyl chain binding, and (4) 3 sets of ionic locks that stabilize the outward open conformation. Drawing together these findings with studies of the mechanism of transport of other MFS family members, we propose the following alternatingaccess mechanism for LPC transport (Fig. 6). In the first steps, LPC inserts itself into the outer leaflet of the membrane and diffuses laterally into the transporter’s hydrophobic cleft. As Mfsd2a undergoes conformational changes from the outward open to the inward open conformation, the zwitterionic headgroup is inverted from the outer membrane leaflet to the inner membrane leaflet along a translocation pathway within the transporter, interacting with specific polar and charged residues lining the path. Since LPCs are hydrophobic phospholipids, it is unlikely that they will partition out of the transporter into the aqueous environment of the cytoplasm. We propose that the “flipped” LPC exits the transporter laterally into the membrane environment of the inner leaflet. This model of LPC flipping requires further biochemical proof. Of particular interest is the visualization of the interaction of the negatively charged phosphate headgroup of LPC with Lys436 that is maintained in both outward and inward open conformations. The sidechain of Lys436 is seen to be pointing in the upward direction in the outward open conformation, but pointing downward into the translocation cleft in the inward open conformation. These findings suggest that the Lys436 acts as a tether to push or pivot the headgroup down into the translocation cavity while the N- and C-termini of Mfsd2a rock and switch from outward to inward open.

Interestingly, Lys436 is orthologous to the residue Lys377 in the melibiose transporter of S. typhimurium. Based on the S. typhimurium MelB crystal structure, Lys377 has been predicted to be involved in binding melibiose, and in forming a hydrogen bond with Tyr120, likely separating the sodium binding site from the central hydrophilic cavity (9). In a recent molecular dynamic simulation of E. coli MelB, Lys377 was noted to interact differently with residues involved in the sodium binding site (Asp55, Asp59, and Asp124) in the presence or absence of a sodium ion, and thought to be critical for the spatial organization of the sodium binding site (41). Similarly, in our refined models of Mfsd2a, Lys436 is localized in close proximity to the sodium-binding site residue, Asp93, and the central translocation pathway where it has been identified by docking studies to interact with the charged headgroup of LPC. We hypothesize that Lys436 may shuttle between the two binding sites, communicating and coordinating the occupancy status of the two sites. Interestingly, there is a distinct mobility shift in Mfsd2a bands on SDS-PAGE between wild-type Mfsd2a and the L-3 mutant (R498E, R499E, R500E, K503E, K504E) (Fig. 5I) that is not seen when each of the residues are mutated individually (Fig. S1). These findings are consistent with a conformational change in the L-3 mutant. Given that the L-3 ionic lock is visualized in the outward partially occluded model, we hypothesize that the loss of the L-3 ionic lock results in Mfsd2a being trapped in an energetically more favorable inward open conformation, resulting in the loss of transport function (Fig. 5H).

Patients with the partially inactivating mutation p.(S399L) exhibited significant increases specifically in plasma LPCs having monounsaturated (18:1 – 92%, p=0.004) and polyunsaturated LPCs (18:2, 20:4, 20:3 – 254%, p=0.002; 117%, p=0.007, and 238%, p=0.002), but not in the most abundant LPCs – saturated LPCs (C16:0, C18:0) (8). This is consistent with a greater specificity of Mfsd2a for LPCs with unsaturated fatty acyl chains (6)…A possible explanation for this acyl chain specificity is related to the mobility of the acyl tail in the membrane. It is known that phospholipids with unsaturated fatty acyl chains disrupt the packing of the bilayer, resulting in greater lateral membrane fluidity (42). Therefore, one possible mechanism for LPC specificity is that LPCs with unsaturated fatty acyl chains have greater lateral mobility in the membrane, increasing the Ka for interacting with the transport cleft of Mfsd2a.

Another important structural feature of the physiological ligand, LPC, is a minimum acyl chain length of 14 carbons is required for transport by Mfsd2a. A possible explanation for this requirement is that the hydrocarbon chain must extend beyond the cleft, protruding into the hydrophobic milieu of the phospholipid bilayer core. This interaction of the fatty acyl tail with the acyl chains of the membrane bilayer may provide a hydrophobic force strong enough to pull the molecule through and out of the transporter as the LPC headgroup partitions into the inner leaflet of the membrane. A similar scenario is seen in the Sec translocon where a hydrophobic transmembrane domain of a protein partitions laterally from the Sec61p complex channel into the lipid bilayer (43,44). This proposal that the omega carbon of the fatty acyl chain sticks out of the Mfsd2a pocket is consistent with the observation that Mfsd2a can transport nitrobenzoxadiazole (NBD) or Topfluor when these moieties are attached to the omega carbon of the LPC fatty acyl tail [1].

Other known transmembrane phospholipid transporters include flippases, floppases, and scramblases. Flippases and floppases utilize ATP to drive the uphill transport of aminophospholipids from the outer to the inner leaflet, and specific substrates from the inner to the outer leaflet, respectively (45-47). Scramblases are less well understood, facilitating transport of substrates in either direction down concentration gradients upon activation. While the substrates are similar, several differences make comparisons between Mfsd2a and phospholipid transporters of limited relevance. First, the shapes of the substrates differ in shape and size – lysophospholipids are smaller and conical while phospholipids are cylindrical. Second, unlike flippases and floppases, Mfsd2a is a secondary transporter, utilizing a sodium electrochemical gradient to drive the transport of lysophospholipids from one leaflet to the other. Third, the overall structure of MFS members is different from P4- ATPases and ABC transporters. Consequently, the mechanism of action between Mfsd2a and flippases such as P4-ATPases and ABC transporters, or floppases is expected to differ.

Being expressed at the blood-brain barrier, Mfsd2a is a potential conduit for drug delivery to the brain. The blood-brain barrier is highly impermeable, protecting the brain from bloodderived molecules, pathogens, and toxins. However, its impermeability poses a challenge for pharmacological treatment of brain diseases. It has been predicted that 98% of small molecule drugs are excluded from the brain by the blood-brain barrier (48). Currently, most drugs used to treat brain diseases are lipid soluble small molecules with a molecular weight of less than 400 Da (49). A small number of drugs traverse the blood-brain barrier by carrier-mediated transport. An example of this is Levodopa, a treatment for Parkinson’s Disease, which is a precursor of the neurotransmitter dopamine. Levodopa is transported across the blood-brain barrier by the large neutral amino acid transporter, LAT1 (50). Our findings here provide a further refinement of understanding of the structure-activity relationship of LPCs to their transport, and educates the search and design of drugs that can be transported by Mfsd2a. Candidates for transport, whether as a drug itself or as a LPC scaffold, must have a zwitterionic headgroup, but not necessarily a phosphate, and a minimal threshold of hydrophobic character. As the binding pocket is several times larger than LPC, it is sterically feasible to attach a small molecule drug onto LPC or LPC-like scaffolds for delivery across the blood-brain barrier.

In summary, these studies represent a first structural model of human Mfsd2a based on homology modeling and biochemical interrogation. We expect that this model will serve as a foundation for the future development of X-ray crystal structures of the protein, which would provide further insight into the structure and function of this physiologically important transporter required for human brain growth and function.

REFERENCES

1. Salem, N., Jr., Litman, B., Kim, H. Y., and Gawrisch, K. (2001) Mechanisms of action of docosahexaenoic acid in the nervous system. Lipids 36, 945-959

2. Bazan, N. G. (2009) Neuroprotectin D1-mediated anti-inflammatory and survival signaling in stroke, retinal degenerations, and Alzheimer’s disease. Journal of lipid research 50 Suppl, S400- 405

3. Baisted, D. J., Robinson, B. S., and Vance, D. E. (1988) Albumin stimulates the release of lysophosphatidylcholine from cultured rat hepatocytes. The Biochemical journal 253, 693-701

4. Edmond, J., Higa, T. A., Korsak, R. A., Bergner, E. A., and Lee, W. N. (1998) Fatty acid transport and utilization for the developing brain. Journal of neurochemistry 70, 1227-1234

5. Lagarde, M., Bernoud, N., Brossard, N., Lemaitre-Delaunay, D., Thies, F., Croset, M., and Lecerf, J. (2001) Lysophosphatidylcholine as a preferred carrier form of docosahexaenoic acid to the brain. Journal of molecular neuroscience : MN 16, 201-204; discussion 215-221

6. Nguyen, L. N., Ma, D., Shui, G., Wong, P., Cazenave-Gassiot, A., Zhang, X., Wenk, M. R., Goh, E. L., and Silver, D. L. (2014) Mfsd2a is a transporter for the essential omega-3 fatty acid docosahexaenoic acid. Nature 509, 503-506

7. Law, C. J., Maloney, P. C., and Wang, D. N. (2008) Ins and outs of major facilitator superfamily antiporters. Annual review of microbiology 62, 289-305

8. Alakbarzade, V., Hameed, A., Quek, D. Q. Y., Chioza, B. A., Baple, E. L., Cazenave-Gassiot, A., Nguyen, L. N., Wenk, M. R., Ahmad, A. Q., Sreekantan-Nair, A., Weedon, M. N., Rich, P., Patton, M. A., Warner, T. T., Silver, D. L., and Crosby, A. H. (2015) A partially inactivating mutation in the sodium-dependent lysophosphatidylcholine transporter MFSD2A causes a non-lethal microcephaly syndrome. Nat Genet 47, 814-817

9. Ethayathulla, A. S., Yousef, M. S., Amin, A., Leblanc, G., Kaback, H. R., and Guan, L. (2014) Structure-based mechanism for Na(+)/melibiose symport by MelB. Nature communications 5, 3009

10. Guan, L., Mirza, O., Verner, G., Iwata, S., and Kaback, H. R. (2007) Structural determination of wild-type lactose permease. Proceedings of the National Academy of Sciences of the United States of America 104, 15294-15298

…. more

Read Full Post »

FDA approves blood-based colorectal screen

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

FDA Clears First Blood-Based Colorectal Cancer Screening Test.
Lab Soft News by Bruce Friedman
https://www.linkedin.com/pulse/fda-clears-first-blood-based-colorectal-cancer-screening-joseph-colao

In the upcoming months, there surely will be an increasing number of blood-based genomic cancer tests approved by the FDA. This specific test market is just too attractive. In a recent note, I discussed some of these testing initiatives from the perspective of companion diagnostics (see: An Expanding Definition for Companion Diagnostics). This form of testing in used in collaboration with cancer therapy to select the right drug or monitor the effectiveness of drug therapy. Obviously and of equal importance are biomarkers intended for cancer screening. A recent article reported that the FDA has cleared the first blood-based screening test for colorectal cancer (see: FDA Clears First Blood-Based Colorectal Cancer Screening Test), Below is an excerpt from it:

The first blood-based colorectal cancer (CRC) screening test, Epi proColon...has been approved by the US Food and Drug Administration (FDA)….The Epi proColon test is a qualitative in vitro diagnostic test for detecting methylated Septin9 DNA, which has been associated with the occurrence of CRC, in plasma obtained from whole-blood specimens. It is indicated for use in average-risk patients who have chosen not to undergo other screening methods, such as colonoscopy or stool-based tests.The test was recommended for FDA approval in 2014 by the Molecular and Clinical Genetics Panel of the FDA’s Medical Devices Advisory Committee, but some of the experts were not convinced….The agency approved the Epi proColon test for CRC screening in average-risk patients (as defined by current screening guidelines) who choose not to be screened by colonoscopy or a stool-based FIT [fecal immunochemical test for occult blood in the stool].The Epi proColon blood test for CRC screening can be performed during routine office visits. It requires no dietary restrictions or alterations in medication use. The blood sample is analyzed by a local or regional diagnostic laboratory….The company will initiate a postapproval study to show the long-term benefit of blood-based CRC screening using Epi proColon, as required by the FDA.

Here’s more information about Septin9 DNA (see: Plasma methylated septin 9: a colorectal cancer screening marker):

The biomarker septin 9 has been found to be hypermethylated in nearly 100% of tissue neoplasia specimens and detected in circulating DNA fractions of CRC patients. A commercially available assay for septin 9 has been developed with moderate sensitivity (∼70%) and specificity (∼90%) and a second generation assay, Epi proColon 2.0 (Epigenomics AG), shows increased sensitivity (∼92%).The performance of the assay proved to be independent of tumor site and reaches a high sensitivity of 77%, even in early cancer stages (I and II). Furthermore, septin 9 was recently used in follow-up studies for detection of early recurrence of CRC. 

There is clearly a need for a blood-based biomarker for colorectal cancer screening. Patients tend to dislike the home stool collection that is required for fecal immunochemical tests for occult blood in the stool (FIT). Moreover, testing for blood in the stool offers a somewhat crude substitute for the identification of reliable cancer biomarkers in the blood. It must be noted, however, that some of the FDA experts in 2014 were not convinced that the septic 9 biomarker offered advantages over FIT.

I am not sure that septin 9 will be the final and most efficient biomarker for CRC but I am sure of two things. The first is that there will eventually be a high-specificity, high-sensitivity blood test for CRC. The second is that probably tens of billions of dollars would be saved by the elimination of screening colonoscopies for CRC by such a test. I found an article dating way back to 2002 about the number of screening endoscopies performed in the U.S. but the numbers are sill impressive  (see: How many endoscopies are performed for colorectal cancer screening?) Here is a quote from it: “Approximately 2.8 million flexible sigmoidoscopes and 14.2 million colonoscopies were estimated to have been performed in 2002.” Needless to say, many gastroenterologists and radiologists may be hoping that such a lab test does not reach the market soon.

Septin-9 is a protein that in humans is encoded by the SEPT9 gene.[1][2][3

SEPT9 has been shown to interact with SEPT2[4] and SEPT7.[4]

Along with AHNAK, eIF4E and S100A11, SEPT9 has been shown to be essential for pseudopod protrusion, tumor cell migration and invasion.[5]

The v2 region of the SEPT9 promoter has been shown to be methylated in colorectal cancer tissue compared with normal colonic mucosa.[6] Using highly sensitive real time PCR assays, methylated SEPT9 was detected in the blood of colorectal cancer patients. This alternate methylation pattern in cancer samples is suggestive of an aberrant activation or repression of the gene compared to normal tissue samples.[7][8]

Read Full Post »

New Insights into mtDNA, mitochondrial proteins, aging, and metabolic control

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

Newly discovered proteins may protect against age-related illnesses  

The proteins could play a key role in the aging process and the onset of diseases linked to older age

BY Beth Newcomb   APRIL 13, 2016

http://news.usc.edu/98412/newly-discovered-proteins-may-protect-against-agings-illnesses/

http://news.usc.edu/files/2016/04/20160208_PinchasCohen_web-824×549.jpg

Pinchas Cohen led a team that identified tiny proteins that appear to play a role in controlling how the body ages. (Photo/Beth Newcomb)

A group of six newly discovered proteins may help to divulge secrets of how we age, potentially unlocking insights into diabetes, Alzheimer’s, cancer and other aging-related diseases.

The tiny proteins appear to play several big roles in our bodies’ cells, from decreasing the amount of damaging free radicals and controlling the rate at which cells die to boosting metabolism and helping tissues throughout the body respond better to insulin. The naturally occurring amounts of each protein decrease with age, leading researchers to believe that they play an important role in the aging process and the onset of diseases linked to older age.

The research team led by Pinchas Cohen, dean of the USC Davis School of Gerontology, identified the tiny proteins for the first time and observed their surprising origin from organelles in the cell called mitochondria and their game-changing roles in metabolism and cell survival. This latest finding builds upon prior research by Cohen and his team that uncovered two significant proteins, humanin and MOTS-c, hormones that appear to have significant roles in metabolism and diseases of aging.

Unlike most other proteins, humanin and MOTS-c are encoded in mitochondria, the structure within cells that produces energy from food, instead of in the cell’s nucleus where most genes are contained.

Key functions

Mitochondria have their own small collection of genes, which were once thought to play only minor roles within cells but now appear to have important functions throughout the body. Cohen’s team used computer analysis to see if the part of the mitochondrial genome that provides the code for humanin was coding for other proteins as well. The analysis uncovered the genes for six new proteins, which were dubbed small humanin-like peptides, or SHLPs, 1 through 6 (the name of this hardworking group of proteins is appropriately pronounced “schlep”).

After identifying the six SHLPs and successfully developing antibodies to test for several of them, the team examined both mouse tissues and human cells to determine their abundance in different organs as well as their functions. The proteins were distributed quite differently among organs, which suggests that the proteins have varying functions based on where they are in the body.

Of particular interest is SHLP 2, Cohen said. The protein appears to have profound insulin-sensitizing, anti-diabetic effects as well as potent neuro-protective activity that may emerge as a strategy to combat Alzheimer’s disease. He added that SHLP 6 is also intriguing, with a unique ability to promote cancer cell death and thus potentially target malignant diseases.

“Together with the previously identified mitochondrial peptides, the newly recognized SHLP family expands the understanding of the mitochondria as an intracellular signaling organelle that communicates with the rest of the body to regulate metabolism and cell fate,” Cohen said. “The findings are an important advance that will be ripe for rapid translation into drug development for diseases of aging.”

The study first appeared online in the journal Aging on April 10. Cohen’s research team included collaborators from the Albert Einstein College of Medicine; the findings have been licensed to the biotechnology company CohBar for possible drug development.

The research was supported by a Glenn Foundation Award and National Institutes of Health grants to Cohen (1P01AG034906, 1R01AG 034430, 1R01GM 090311, 1R01ES 020812) and an Ellison/AFAR postdoctoral fellowship to Kelvin Yen. Study authors Laura Cobb, Changhan Lee, Nir Barzilai and Pinchas Cohen are consultants and stockholders of CohBar Inc.

Feature: The man who wants to beat back aging

By Stephen S. Hall Sep. 16, 201

Nir Barzilai hopes to persuade FDA to bless the proposed anti-aging trial, which is unconventional in its goals and design.
http://www.sciencemag.org/news/2015/09/feature-man-who-wants-beat-back-aging

On a blazingly hot morning this past June, a half-dozen scientists convened in a hotel conference room in suburban Maryland for the dress rehearsal of what they saw as a landmark event in the history of aging research. In a few hours, the group would meet with officials at the U.S. Food and Drug Administration (FDA), a few kilometers away, to pitch an unprecedented clinical trial—nothing less than the first test of a drug to specifically target the process of human aging.

“We think this is a groundbreaking, perhaps paradigm-shifting trial,” said Steven Austad, chairman of biology at the University of Alabama, Birmingham, and scientific director of the American Federation for Aging Research (AFAR). After Austad’s brief introductory remarks, a scientist named Nir Barzilai tuned up his PowerPoint and launched into a practice run of the main presentation.

Barzilai is a former Israeli army medical officer and head of a well-known study of centenarians based at the Albert Einstein College of Medicine in the Bronx, New York. To anyone who has seen the ebullient scientist in his natural laboratory habitat, often in a short-sleeved shirt and always cracking jokes, he looked uncharacteristically kempt in a blue blazer and dress khakis. But his practice run kept hitting a historical speed bump. He had barely begun to explain the rationale for the trial when he mentioned, in passing, “lots of unproven, untested treatments under the category of anti-aging.” His colleagues pounced.

“Nir,” interrupted S. Jay Olshansky, a biodemographer of aging from the University of Illinois, Chicago. The phrase “anti-aging … has an association that is negative.”

“I wouldn’t dignify them by calling them ‘treatments,’” added Michael Pollak, director of cancer prevention at McGill University in Montreal, Canada. “They’re products.”

Barzilai, a 59-year-old with a boyish mop of gray hair, wore a contrite grin. “We know the FDA is concerned about this,” he conceded, and deleted the offensive phrase.

Then he proceeded to lay out the details of an ambitious clinical trial. The group—academics all—wanted to conduct a double-blind study of roughly 3000 elderly people; half would get a placebo and half would get an old (indeed, ancient) drug for type 2 diabetes called metformin, which has been shown to modify aging in some animal studies. Because there is still no accepted biomarker for aging, the drug’s success would be judged by an unusual standard—whether it could delay the development of several diseases whose incidence increases dramatically with age: cardiovascular disease, cancer, and cognitive decline, along with mortality. When it comes to these diseases, Barzilai is fond of saying, “aging is a bigger risk factor than all of the other factors combined.”

But the phrase “anti-aging” kept creeping into the rehearsal, and critics kept jumping in. “Okay,” Barzilai said with a laugh when it came up again. “Third time, the death penalty.”

The group’s paranoia about the term “anti-aging” captured both the audacity of the proposed trial and the cultural challenge of venturing into medical territory historically associated with charlatans and quacks. The metformin initiative, which Barzilai is generally credited with spearheading, is unusual by almost any standard of drug development. The people pushing for the trial are all academics, none from industry (although Barzilai is co-founder of a biotech company, CohBar Inc., that is working to develop drugs targeting age-related diseases). The trial would be sponsored by the nonprofit AFAR, not a pharmaceutical company. No one stood to make money if the drug worked, the scientists all claimed; indeed, metformin is not only generic, costing just a few cents a dose, but belongs to a class of drugs that has been part of the human apothecary for 500 years. Patient safety was unlikely to be an issue; millions of diabetics have taken metformin since the 1960s, and its generally mild side effects are well-known.

Finally, the metformin group insisted they didn’t need a cent of federal money to proceed (although they do intend to ask for some). Nor did they need formal approval from FDA to proceed. But they very much wanted the agency’s blessing. By recognizing the merit of such a trial, Barzilai believes,  FDA would make aging itself a legitimate target for drug development.

By the time the scientists were done, the rehearsal—which was being filmed for a television documentary—had the feel of a pep rally. They spoke with unguarded optimism. “What we’re talking about here,” Olshansky said, “is a fundamental sea change in how we look at aging and disease.” To Austad, it is “the key, potentially, to saving the health care system.”

As the group piled into a van for the drive to FDA headquarters, there was more talk about setting precedents and opening doors. So it was a little disconcerting when Austad led the delegation up to the main entrance of FDA—and couldn’t get the door open.   ……

Mitochondrial Peptides Found in a Preclinical Study Seen to Control Cell Metabolism

APRIL 13, 2016 BY MAGDALENA KEGEL  IN NEWS.
http://mitochondrialdiseasenews.com/2016/04/13/newly-discovered-mitochondrial-factors-might-give-insights-into-aging/

 

CohBar, a developer of mitochondria-based therapeutics, announced that preclinical research by its academic collaborators has found small humanin-like peptides (SHLPs) that can control metabolism and cell survival. The findings have implications for age-related diseases such as Alzheimer’s and cancer.

The study, “Naturally Occurring Mitochondrial-derived Peptides are Age-dependent Regulators of Apoptosis, Insulin Sensitivity, and Inflammatory Markers,” was the result of a joint effort between researchers at the University of Southern California (USC) and theInstitute for Aging Research at the Albert Einstein College of Medicine of Yeshiva University. The study was published in the journal Aging.

Researchers discovered the SHLPs by examining the genome of mitochondria with the help of a bioinformatics approach, which identified six peptides. The team then verified the presence of the factors and explored their function in laboratory animals.

CohBar, who have the exclusive license to develop SHLPs into therapeutics, works closely with its academic partners to explore the peptides in preclinical models.

While it was previously believed that mitochondria only have 37 genes, research has revealed that the mitochondrial genome is far more versatile, potentially harboring a multitude of new genes, which can encode peptides acting as cellular signaling factors. The peptides, it has turned out, have shown neuroprotective and anti-inflammatory effects, and act to protect cells in disease-modifying ways in preclinical models of aging.

CohBar’s goal is to bring these peptides to the market as therapies for age-related diseases, such as obesity, type 2 diabetes, cancer, atherosclerosis and neurodegenerative disorders.

“Together with the previously described mitochondrial-derived peptides humanin and MOTS-c, the SHLP family expands our understanding of the role that these peptides play in intracellular signaling throughout the body to regulate both metabolism and cell survival,” Pinchas Cohen, dean of the USC Leonard Davis School of Gerontology, founder and director of CohBar, and the study’s senior author, said in a press release. “These findings further illustrate the enormous potential that mitochondria-based therapeutics could have on treating age-associated diseases like Alzheimer’s and cancer.”

“The pre-clinical evidence continues to confirm that these peptides represent a new class of naturally occurring metabolic regulators,” added Simon Allen, CohBar’s CEO. “They form the foundation of our pipeline of first-in-class treatments for age-related diseases, and we are committed to rapidly advancing them through pre-clinical and clinical activities as we move forward.”

Naturally occurring mitochondrial-derived peptides are age-dependent regulators of apoptosis, insulin sensitivity, and inflammatory markers

Laura J. Cobb1,5, Changhan Lee2, Jialin Xiao2, Kelvin Yen2, Richard G. Wong2, Hiromi K. Nakamura1, ….., Derek M. Huffman4, Junxiang Wan2, Radhika Muzumdar3, Nir Barzilai4 , and Pinchas Cohen2
http://www.impactaging.com/papers/v8/n4/full/100943.html

Mitochondria are key players in aging and in the pathogenesis of age-related diseases. Recent mitochondrial transcriptome analyses revealed the existence of multiple small mRNAs transcribed from mitochondrial DNA (mtDNA). Humanin (HN), a peptide encoded in the mtDNA 16S ribosomal RNA region, is a neuroprotective factor. An in silico search revealed six additional peptides in the same region of mtDNA as humanin; we named these peptides small humanin-like peptides (SHLPs). We identified the functional roles for these peptides and the potential mechanisms of action. The SHLPs differed in their ability to regulate cell viability in vitro. We focused on SHLP2 and SHLP3 because they shared similar protective effects with HN. Specifically, they significantly reduced apoptosis and the generation of reactive oxygen species, and improved mitochondrial metabolism in vitro. SHLP2 and SHLP3 also enhanced 3T3-L1 pre-adipocyte differentiation. Systemic hyperinsulinemic-euglycemic clamp studies showed that intracerebrally infused SHLP2 increased glucose uptake and suppressed hepatic glucose production, suggesting that it functions as an insulin sensitizer both peripherally and centrally. Similar to HN, the levels of circulating SHLP2 were found to decrease with age. These results suggest that mitochondria play critical roles in metabolism and survival through the synthesis of mitochondrial peptides, and provide new insights into mitochondrial biology with relevance to aging and human biology.

Human mitochondrial DNA (mtDNA) is a double-stranded, circular molecule of 16,569 bp and contains 37 genes encoding 13 proteins, 22 tRNAs, and 2 rRNAs. Recent mitochondrial transcriptome analyses revealed the existence of small RNAs derived from mtDNA [1]. In 2001, Nishimoto and colleagues identified humanin (HN), a 24-amino-acid peptide encoded from the 16S ribosomal RNA (rRNA) region of mtDNA. HN is a potent neuroprotective factor capable of antagonizing Alzheimer’s disease (AD)-related cellular insults [2]. HN is a component of a novel retrograde signaling pathway from the mitochondria to the nucleus, which is distinct from mitochondrial signaling pathways, such as the SIRT4-AMPK pathway [3]. HN-dependent cellular protection is mediated in part by interacting with and antagonizing pro-apoptotic Bax-related peptides [4] and IGFBP-3 (IGF binding protein 3) [5].

Because of their involvement in energy production and free radical generation, mitochondria likely play a major role in aging and age-related diseases [6–8]. In fact, improvement of mitochondrial function has been shown to ameliorate age-related memory loss in aged mice [9]. Recent studies have shown that HN levels decrease with age, suggesting that HN could play a role in aging and age-related diseases, such as Alzheimer’s disease (AD), atherosclerosis, and diabetes. Along with lower HN levels in the hypothalamus, skeletal muscle, and cortex of older rodents, the circulating levels of HN were found to decline with age in both humans and mice [10]. Notably, circulating HN levels were found to be (i) significantly higher in long-lived Ames dwarf mice but lower in short-lived growth hormone (GH) transgenic mice, (ii) significantly higher in a GH-deficient cohort of patients with Laron syndrome, and (iii) reduced in mice and humans treated with GH or IGF-1 (insulin-like growth factor 1) [11]. Age-dependent declines in the circulating HN levels may be due to higher levels of reactive oxygen species (ROS) that contribute to atherosclerosis development. Using mouse models of atherosclerosis, it was found that HN-treated mice had a reduced disease burden and significant health improvements [12,13]. In addition, HN improved insulin sensitivity, suggesting clinical potential for mitochondrial peptides in diseases of aging [10]. The discovery of HN represents a unique addition to the spectrum of roles that mitochondria play in the cell [14,15]. A second mitochondrial-derived peptide (MDP), MOTS-c (mitochondrial open reading frame of the 12S rRNA-c), has also been shown to have metabolic effects on muscle and may also play a role in aging [16].

We further investigated mtDNA for the presence of other MDPs. Recent technological advances have led to the identification of small open reading frames (sORFs) in the nuclear genomes ofDrosophila[17,18] and mammals [19,20]. Therefore, we attempted to identify novel sORFs using the following approaches: 1) in silico identification of potential sORFs; 2) determination of mRNA expression levels; 3) development of specific antibodies against these novel peptides to allow for peptide detection in cells, organs, and plasma; 4) elucidating the actions of these peptides by performing cell-based assays for mitochondrial function, signaling, viability, and differentiation; and 5) delivering these peptides in vivo to determine their systemic metabolic effects. Focusing on the 16S rRNA region of the mtDNA where the humanin gene is located, we identified six sORFs and named them small humanin-like peptides (SHLPs) 1-6. While surveying the biological effects of SHLPs, we found that SHLP2 and SHLP3 were cytoprotective; therefore, we investigated their effects on apoptosis and metabolism in greater detail. Further, we showed that circulating SHLP2 levels declined with age, similar to HN, suggesting that SHLP2 is involved in aging and age-related disease progression.

SHLP2 and SHLP3 regulate the expression of metabolic and inflammatory markers

Epidemiological studies have demonstrated that increased levels of mediators of inflammation and acute-phase reactants, such as fibrinogen, C-reactive protein (CRP), and IL-6, correlate with the incidence of type 2 diabetes mellitus (T2DM) [34–36]. In humans, anti-inflammatory drugs, such as aspirin and sodium salicylate, reduce fasting plasma glucose levels and ameliorate the symptoms of T2DM. In addition, anti-diabetic drugs, such as fibrates [37] and thiazolidinediones [38], have been found to lower some markers of inflammation. SHLP2 increased the levels of leptin, which is known to improve insulin sensitivity, but had no effect on the levels of the pro-inflammatory cytokines IL-6 and MCP-1. SHLP3 significantly increased the leptin levels, but also elevated IL-6 and MCP-1 levels, which could explain the lack of an in vivo insulin-sensitizing effect of SHLP3. The mechanism by which SHLPs regulate the expression of metabolic and inflammatory markers remains unclear and needs to be further investigated. Furthermore, SHLPs have different effects on inflammatory marker expression, suggesting differential regulation and function of individual SHLPs.

SHLP2 in aging

Mitochondria have been implicated in increased lifespan in several life-extending treatments [39,40]; however, it is not known whether the relationship is correlative or causative [40]. Additionally, it is well known that hormone levels change with aging. For example, levels of aldosterone, calcitonin, growth hormone, and IGF-I decrease with age. Circulating HN levels decline with age in humans and rodents, specifically in the hypothalamus and skeletal muscle of older rats. These changes parallel increases in the incidence of age-associated diseases such as AD and T2DM. The decline in circulating SHLP2 levels with age (Fig. 6), the anti-oxidative stress function of SHLP2 (Fig. 3C), and its neuroprotective effect (Fig. 6B) indicate that SHLP2 has a role in the regulation of aging and age-related diseases.

Conclusion

By analyzing the mitochondrial transcriptome, we found that sORFs from mitochondrial DNA encode functional peptides. We identified many mRNA transcripts within 13 protein-coding mitochondrial genes [1]. Such previously underappreciated sORFs have also been described in the nuclear genome [41]. The MDPs we describe here may represent retrograde communication signals from the mitochondria to the nucleus and may explain important aspects of mitochondrial biology that are implicated in health and longevity.

Larry, John Walker is working on mt proteins dynamics. His rotor – stator mechanism in ATPase synthase, a ‘complex’ that biologist accepted as energy generator is likely wrong. I was suppose to have met him in Germany few years ago. Energy in biological systems has nothing to do with heat. Heat is an outcome of a reaction, meaning that IR spectra accordingly to wave theory is a source of information memorized in water interference with carbon open systems within protein and glyo-proteins complexes as well as genome space-time outcomes. Physically speaking from a pure perspective of science ATP is highly unstable form of phosphate ‘chains’. It cannot hold energy, it is actually in contrary, it is like a resonator, trapping negativity, thus functioning as space propeller by expanding carbon skeleton of protein ‘machines’ Now, we don’t know what is ‘aging’ in a pure physical sense, except that we observe structural changes in what we call complexes. We we know is that proteins are not stationary structures, but highly dynamic forms of matter, seemingly occupying discrete and relative spaces. A piece of mt ATP ase could be discovered in the nucleus as transcription factor. Our notion of operational space in terms of electro dynamics from a motor – stator perspective is now translated toward defining semi conducting and supracoductive strings. The reality of which is so much more fascinating and beautiful as time progresses overally. There are spaces where time does not change, and there are spaces where time walks, and there are spaces, where time flies, and there are spaces where time runs. Amazing, indeed! The story of aging gets a lot deeper that science could even imagine, probably to roots of immortal energy- spaces. We know that matter is transient, that is nearly all living matter, replenishes of about 3 to 7 weeks.

Take a glass full of some kind of liquid, you know the mass of the glass and the mass of the liquid (say wine, beer, water, or milk) You also know to an approximate reality the composition of both. Now lift the glass full of liquid and let it break on a surface of your choice. Depending on the surface pieces of the glass would travel differential from a center projected by the vertical axis of your hand. What technology does today is recollecting those pieces and modelling them to fit in a form again that would resemble a holding device, a glass. The liquid we don’t know exactly how it spilled due the nature of its absorbancy of both surface physics and physical ‘state’ properties. Thus we can say how much approximate energy we have held thinking of m/z as time flight objectives. Each technology can read 1D and approximate the 2D, absolutely lacking computational methodology for 3D dynamic reality. Many scientists confuse space and volume. Volume is a one dimensional characteristic! So is crystalography! BY taking quantum chemical method computing principles following imaginative rules we could approach 2D, however , that is not enough to define 3D. Time we use as a reference frame of clocks we have invented in order to keep track of a sense to observable ‘change’ . But remember, time is absolute and parallel in continuity while energy is discrete , coming in quantum packages, realization of accumulated information. Information is highly redundant we see, so annotating information is an objective to modern days simulations that could predict outcomes of possible parallel realities we call worlds. One could ‘jump’ from one reality to another through guidance of light and water, but what remains unsolved is why people make mistakes, constantly by accusing in name of greed and power , or disobedience of commandments of the Lord!

On Thu, Apr 21, 2016 at 3:41 AM, Leaders in Pharmaceutical Business Intelligence (LPBI) Group wrote:

> larryhbern posted: “New Insights into mtDNA, mitochondrial proteins, > aging, and metabolic control Larry H. Bernstein, MD, FCAP, Curator LPBI > Newly discovered proteins may protect against age-related illnesses The > proteins could play a key role in the ” >

 

Metabolic features of the cell danger response
– Mitochondria in Health and Disease

Mitochondrion  Volume 16, May 2014, Pages 7–17     doi:10.1016/j.mito.2013.08.006

 

Highlights

  •  The Cell Danger Response (CDR) is defined in terms of an ancient metabolic response to threat.
  •  The CDR encompasses inflammation, innate immunity, oxidative stress, and the ER stress response.
  •  The CDR is maintained by extracellular nucleotide (purinergic) signaling.
  •  Abnormal persistence of the CDR lies at the heart of many chronic diseases.
  •  Antipurinergic therapy (APT) has proven effective in many chronic disorders in animal models

The cell danger response (CDR) is the evolutionarily conserved metabolic response that protects cells and hosts from harm. It is triggered by encounters with chemical, physical, or biological threats that exceed the cellular capacity for homeostasis. The resulting metabolic mismatch between available resources and functional capacity produces a cascade of changes in cellular electron flow, oxygen consumption, redox, membrane fluidity, lipid dynamics, bioenergetics, carbon and sulfur resource allocation, protein folding and aggregation, vitamin availability, metal homeostasis, indole, pterin, 1-carbon and polyamine metabolism, and polymer formation. The first wave of danger signals consists of the release of metabolic intermediates like ATP and ADP, Krebs cycle intermediates, oxygen, and reactive oxygen species (ROS), and is sustained by purinergic signaling. After the danger has been eliminated or neutralized, a choreographed sequence of anti-inflammatory and regenerative pathways is activated to reverse the CDR and to heal. When the CDR persists abnormally, whole body metabolism and the gut microbiome are disturbed, the collective performance of multiple organ systems is impaired, behavior is changed, and chronic disease results. Metabolic memory of past stress encounters is stored in the form of altered mitochondrial and cellular macromolecule content, resulting in an increase in functional reserve capacity through a process known as mitocellular hormesis. The systemic form of the CDR, and its magnified form, the purinergic life-threat response (PLTR), are under direct control by ancient pathways in the brain that are ultimately coordinated by centers in the brainstem. Chemosensory integration of whole body metabolism occurs in the brainstem and is a prerequisite for normal brain, motor, vestibular, sensory, social, and speech development. An understanding of the CDR permits us to reframe old concepts of pathogenesis for a broad array of chronic, developmental, autoimmune, and degenerative disorders. These disorders include autism spectrum disorders (ASD), attention deficit hyperactivity disorder (ADHD), asthma, atopy, gluten and many other food and chemical sensitivity syndromes, emphysema, Tourette’s syndrome, bipolar disorder, schizophrenia, post-traumatic stress disorder (PTSD), chronic traumatic encephalopathy (CTE), traumatic brain injury (TBI), epilepsy, suicidal ideation, organ transplant biology, diabetes, kidney, liver, and heart disease, cancer, Alzheimer and Parkinson disease, and autoimmune disorders like lupus, rheumatoid arthritis, multiple sclerosis, and primary sclerosing cholangitis.

The double face of mitochondrial dysfunction

Dmitry Knorre, Anna Zyrina, and Fedor Severin

pp 420-420

Full text | PDF

 

 

Flawed Mitochondrial DNA Could Undermine Stem Cell Therapies

http://www.genengnews.com/gen-news-highlights/flawed-mitochondrial-dna-could-undermine-stem-cell-therapies/81252622/

http://www.genengnews.com/Media/images/GENHighlight/thumb_Apr18_2016_OHSU_ConfocalMicroscopyImage7543773219.jpg

This is a confocal microscopy image of human fibroblasts derived from embryonic stem cells. The nuclei appear in blue, while smaller and more numerous mitochondria appear in red. [Shoukhrat Mitalipov]

Mutations in our mitochondrial DNA tend to be inconspicuous, but they can become more prevalent as we age. They can even vary in frequency from cell to cell. Naturally, some cells will be relatively compromised because they happen to have a higher percentage of mutated mitochondrial DNA. Such cells make a poor basis for stem cell lines. They should be excluded. But how?

To answer this question, a team of scientists scrutinized skin fibroblasts, blood cells, and induced pluripotent stem cells (iPSCs) for mitochondrial genome integrity. When the scientists tested the samples for mitochondrial DNA mutations, the levels of mutations appeared low. But when the scientists sequenced the iPS cell lines, they found higher numbers of mitochondrial DNA mutations, particularly in cells from patients over 60.

The scientists were led by Shoukhrat Mitalipov, Ph.D., director of the Center for Embryonic Cell and Gene Therapy at Oregon Health & Science University, and Taosheng Huang, M.D., a medical geneticist and director of the Mitochondrial Medicine Program at Cincinnati Children’s Hospital. The Mitalipov/Huang-led team also found higher percentages of mitochondria containing mutations within a cell. The higher the load of mutated mitochondrial DNA in a cell, the more compromised the cell’s function.

Since each iPSC line is created from a different cell, each line may contain different types of mitochondrial DNA mutations and mutation loads. To choose the least damaged line, the authors recommend screening multiple lines per patient. “It’s a good idea to check the iPS clones for mitochondrial DNA mutations and make sure you pick a good cell line,” said Dr. Huang.

This recommendation appeared April 14 in the journal Cell Stem Cell, in an article entitled, “Age-Related Accumulation of Somatic Mitochondrial DNA Mutations in Adult-Derived Human iPSCs.” This article holds that mitochondrial genome integrity is a vital readout in assessing the proficiency of patient-derived regenerative products destined for clinical applications.

“We found that pooled skin and blood mtDNA contained low heteroplasmic point mutations, but a panel of ten individual iPSC lines from each tissue or clonally expanded fibroblasts carried an elevated load of heteroplasmic or homoplasmic mutations, suggesting that somatic mutations randomly arise within individual cells but are not detectable in whole tissues,” wrote the article’s authors. “The frequency of mtDNA defects in iPSCs increased with age, and many mutations were nonsynonymous or resided in RNA coding genes and thus can lead to respiratory defects.”

Potential therapies using stem cells hold tremendous promise for treating human disease. However, defects in the mitochondria could undermine the iPS cells’ ability to repair damaged tissue or organs.

“If you want to use iPS cells in a human, you must check for mutations in the mitochondrial genome,” declared Dr. Huang. “Every single cell can be different. Two cells next to each other could have different mutations or different percentages of mutations.”

Prior to the creation of a therapeutic iPS cell line, a collection of cells is taken from the patient. These cells will be tested for mutations. If the tester uses Sanger sequencing, older technology that is not as sensitive as newer next-generation sequencing, any mutation that occurs in less than 20% of the sample will go undetected. But mitochondrial DNA mutations might occur in less than 20% of mitochondria in the pooled cells. As a result, mutation rates have not been well understood. “These mitochondrial mutations are actually hidden,” explained Dr. Mitalipov.

The mitochondrial genome is relatively small, containing just 37 genes, so screening should be feasible using next generation sequencing, Dr. Mitalipov added. “It should be relatively cheap and do-able.”

Dr. Mitalipov also commented on a more general point, the implications of the current study on illuminating the mechanisms of age-related disease: “Pathogenic mutations in our mitochondrial DNA have long been thought to be a driving force in aging and age-onset diseases, though clear evidence was missing. This foundational knowledge of how cells are damaged in the natural process of aging may help to illuminate the role of mutated mitochondria in degenerative disease.”

New Mitalipov paper on stem cell mitochondria: challenge for IPS cell field?

http://www.ipscell.com/tag/age-related-accumulation-of-somatic-mitochondrial-dna-mutations-in-adult-derived-human-ipscs/

A new paper from Shoukhrat Mitalipov’s lab on stem cell mitochondria points to a pattern whereby induced pluripotent stem (IPS) cells tend to have more problems if they are from older patients.

What does this paper mean for the stem cell field and could it impact more specifically the clinical applications of IPS cells?

http://i0.wp.com/www.ipscell.com/wp-content/uploads/2016/04/Mitalipov-mitochondrial-mutations.jpg?resize=300%2C295

Graphical Abstract, Kang, et al. 2016

The new paper Kang, et al is entitled “Age-Related Accumulation of Somatic Mitochondrial DNA Mutations in Adult-Derived Human iPSCs”.

This paper reminds us of the very important realities that mitochondria are key players in stem cell function and that mitochondria have their own genomes that impact that function. A lot of us don’t think about mitochondria and their genome as often as we should.

The paper came to three major scientific conclusions (this from the Highlights section of the paper and also see the graphical abstract for a visual sense of the results overall):

  • Human iPSC clones derived from elderly adults show accumulation of mtDNA mutations
  • Fewer mtDNA mutations are present in ESCs and iPSCs derived from younger adults
  • Accumulated mtDNA mutations can impact metabolic function in iPSCs

Importantly the team looked at IPS cells derived from both blood and skin cells and found that the former were less likely to have mitochondrial mutations.

This study suggests that those teams producing or working with human IPS cells (hIPSCs) should be screening the different lines for mitochondrial mutations. This excellent piece from Sara Reardon on the Mitalipov paper quotes IPS cell expert Jeanne Loring on this very point:

“It’s one of those things most of us don’t think about,” says Jeanne Loring, a stem-cell biologist at the Scripps Research Institute in La Jolla, California. Her lab is working towards using iPS cells to treat Parkinson’s disease, and Loring now plans to go back and examine the mitochondria in her cell lines. She suspects that it will be fairly easy for researchers to screen cells for use in therapies.”

Mitalipov goes further and suggests that his team’s new findings could support the use of human embryonic stem cells (hESC) derived by somatic cell nuclear transfer (SCNT) which would be expected to have mitochondria with fewer mutations. However, as Loring points out in the Reardon article, SCNT is really difficult to successfully perform and only a few labs in the world can do it at present. In that context, working with hIPSC and adding on the additional layer of mitochondrial DNA mutation screening could be more practical.

New York stem cell researcher Dieter Egli, however, is quoted that hIPSC have other differences with hESC as well such as epigenetic differences and he’s quoted in the Reardon piece, “It’s going to be very hard to find a cell line that’s perfect.”

One might reasonably ask both Egli and oneself, “What is a perfect cell line”?

In the end the best approach for use of human pluripotent stem cells of any kind is going to involve a balance between practicality of production and the potentially positive or negative traits of those cells as determined by rigorous validation screening.

With this new paper we’ve just learned more about another layer of screening that is needed. An interesting question is whether adult stem cells such as mesenchymal stromal/stem cells (MSC) also should be screened for mitochondrial mutations. They are often produced from patients who are getting up there in years. I hope that someone will publish on that too.

As to pluripotent cells, I expect that sometimes the best lines, meaning those most perfect for a given clinical application, will be hIPSC (autologous or allogeneic in some instances) and in other cases they may be hESC made from leftover IVF embryos. If SCNT-derived hESC can be more widely produced in an affordable manner and they pass validation as well then those (sometimes called NT-hESC) may also come into play clinically. So far that hasn’t happened for the SCNT cells, but it may over time.   …..

 Age-Related Accumulation of Somatic Mitochondrial DNA Mutations in Adult-Derived Human iPSCs

Eunju Kang, Xinjian Wang, Rebecca Tippner-Hedges, …, Don P. Wolf, Taosheng Huang, Shoukhrat Mitalipov
http://www.cell.com/cell-stem-cell/pdfExtended/S1934-5909(16)00067-9

In Brief Mitalipov, Huang, and colleagues show that human iPSCs derived from older adults carry more mitochondrial DNA mutations than those derived from younger individuals. Defects in metabolic function caused by mtDNA mutations suggest careful screening of hiPSC clones for mutational load before clinical application.

Highlights

  1. Human iPSC clones derived from elderly adults show accumulation of mtDNA mutations
  2. Fewer mtDNA mutations are present in ESCs and iPSCs derived from younger adults
  3. Accumulated mtDNA mutations can impact metabolic function in iPSCs

Kang et al., 2016, Cell Stem Cell 18, 1–12 May 5, 2016 ª2016 Elsevier Inc. http://dx.doi.org/10.1016/j.stem.2016.02.005

The genetic integrity of iPSCs is an important consideration for therapeutic application. In this study, we examine the accumulation of somatic mitochondrial genome (mtDNA) mutations in skin fibroblasts, blood, and iPSCs derived from young and elderly subjects (24–72 years). We found that pooled skin and blood mtDNA contained low heteroplasmic point mutations, but a panel of ten individual iPSC lines from each tissue or clonally expanded fibroblasts carried an elevated load of heteroplasmic or homoplasmic mutations, suggesting that somatic mutations randomly arise within individual cells but are not detectable in whole tissues. The frequency of mtDNA defects in iPSCs increased with age, and many mutations were non-synonymous or resided in RNA coding genes and thus can lead to respiratory defects. Our results highlight a need to monitor mtDNA mutations in iPSCs, especially those generated from older patients, and to examine the metabolic status of iPSCs destined for clinical applications.

Induced pluripotent stem cells (iPSCs) offer an unlimited source for autologous cell replacement therapies to treat age-associated degenerative diseases. Aging is generally characterized by increased DNA damage and genomic instability (Garinis et al., 2008; Lombard et al., 2005); thus, iPSCs derived from elderly subjects may harbor point mutations and larger genomic rearrangements. Indeed, iPSCs display increased chromosome aberrations (Mayshar et al., 2010), subchromosomal copy number variations (CNVs) (Abyzov et al., 2012; Laurent et al., 2011), and exome mutations (Johannesson et al., 2014), compared to natural embryonic stem cell (ESC) counterparts (Ma et al., 2014). The rate of mtDNA mutations is believed to be at least 10- to 20-fold higher than that observed in the nuclear genome (Wallace, 1994), and often both mutated and wild-type mtDNA (heteroplasmy) can coexist in the same cell (Rossignol et al., 2003). Large deletions are most frequently observed mtDNA abnormalities in aged post-mitotic tissues such as brain, heart, and muscle (Bender et al., 2006; Bua et al., 2006; Corral-Debrinski et al., 1992; Cortopassi et al., 1992; Mohamed et al., 2006) and have been implicated in aging and diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), and diabetes (Larsson, 2010; Lin and Beal, 2006; Petersen et al., 2003; Wallace, 2005). In addition, mtDNA point mutations were reported in some tumors and replicating tissues (Chatterjee et al., 2006; Ju et al., 2014; Michikawa et al., 1999; Taylor et al., 2003). However, the extent of mtDNA defects in proliferating peripheral tissues commonly used for iPSC induction, such as skin and blood, is thought to be low and limited to common non-coding variants (Schon et al., 2012; Yao et al., 2015). Accumulation of mtDNA variants in these tissues with age was insignificant (Greaves et al., 2010; Hashizume et al., 2015). Several point mutations were identified in iPSCs generated from the newborn foreskin fibroblasts, although most of these variants were non-coding, common for the general population, and did not affect their metabolic activity (Prigione et al., 2011). Somatic mtDNA mutations may be under-reported secondary to the level of sample interrogation. …..

Figure 2. mtDNA Mutations in Skin Fibroblasts, Blood, and the iPSCs of a 72-YearOld B Subject (A) Sixteen mutations at low heteroplasmy levels were detected in the DNA of PF, while a panel of ten FiPSC lines carried nine mutations, including four that were homoplasmic. Gray rectangles define the mutations shared between PF and FiPSCs. (B) Venn diagram showing only one mutation in FiPSCs shared with PF. (C) All ten FiPSC lines carried between one and five high-heteroplasmy (>15%) mutations. (D) Mutation distribution in whole blood and BiPSCs was similar to that in PF and FiPSCs. Six mutations at low-heteroplasmy levels were observed in blood, while BiPSC lines displayed 21 mutations, including four over the 80% heteroplasmy level. (E) Venn diagram showing four mutations in BiPSCs shared with whole blood and the 17 novel variants. (F) Distribution of mutations in individual BiPSC lines. See also Figures S2 and S3; Table S1; Table S3, sheet 2; and Table S4, sheet 1   ….

Figure 4. Transmission and Distribution of Somatic mtDNA Mutations to iPSCs (A) A total of 112 mtDNA mutations were discovered in parental cells (PF, CF, and blood) from 11 subjects. Of these, 39 variants (35%) were found in corresponding 130 iPSC lines. Among non-transmitted, transmitted, and novel mutations in iPSCs, comparable percentages of variants (68%, 69%, and 79%, respectively) were coding mutations in protein, rRNA, or tRNA genes. This suggests that most pathogenic mutations do not affect iPSC induction. However, certain coding mutations including in ND3, ND4L, and 14 tRNA genes were not detected in iPSCs, suggesting possible pathogenicity. n, the number of mtDNA mutations. Blue font genes were detected in parental cells. (B–D) A total of 80 high heteroplasmic (>15%) variants were detected in the present study in 130 FiPSC or BiPSC lines from 11 subjects. (B) The majority of these variants (76%) were non-synonymous or frame-shift mutations in protein-coding genes or affected rRNA and tRNA genes. (C) More than half of the mutations (56%) were never reported in a database containing whole mtDNA sequences from 26,850 healthy subjects representing the general human population (http://www.mitomap.org/MITOMAP). (D) Most mutations (90%) were never reported in a database containing sequences from healthy subjects with corresponding mtDNA haplotypes. freq., frequent. See also Figure S5 and Tables S3 and S4. ….

sjwilliamspa

Mutations will accumulate over age in mitochondrial DNA, however the current study has the difficulty that the authors could not use patient-age-matched controls, in essence they could only compare induced pluripotent stem cells derived from different patients. This could confound the results but the result with higher frequency of mutation in mtDNA in cells reprogrammed from younger patients is interesting but might limit the ability of autologous regenerative therapy in older patients. However reprogramming, although the method not mentioned here although I am assuming by transfection with lentivirus is a rough procedure, involving multiple dedifferentiation steps. Therefore it is very understandable that cells obtained from elderly patients would respond less favorably to such a rough reprogramming regimen, especially if it produced a higher degree of ROS, which has been shown to alter mtDNA. This is why I feel it is more advantageous to obtain a stem cell population from fat cells and forgo the Oct4, htert, reprogramming with lentiviral vectors.

 

Read Full Post »

Imaging of Cancer Cells, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

Imaging of Cancer Cells

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

Microscope uses nanosecond-speed laser and deep learning to detect cancer cells more efficiently

April 13, 2016

Scientists at the California NanoSystems Institute at UCLA have developed a new technique for identifying cancer cells in blood samples faster and more accurately than the current standard methods.

In one common approach to testing for cancer, doctors add biochemicals to blood samples. Those biochemicals attach biological “labels” to the cancer cells, and those labels enable instruments to detect and identify them. However, the biochemicals can damage the cells and render the samples unusable for future analyses. There are other current techniques that don’t use labeling but can be inaccurate because they identify cancer cells based only on one physical characteristic.

Time-stretch quantitative phase imaging (TS-QPI) and analytics system

The new technique images cells without destroying them and can identify 16 physical characteristics — including size, granularity and biomass — instead of just one.

The new technique combines two components that were invented at UCLA:

A “photonic time stretch” microscope, which is capable of quickly imaging cells in blood samples. Invented by Barham Jalali, professor and Northrop-Grumman Optoelectronics Chair in electrical engineering, it works by taking pictures of flowing blood cells using laser bursts (similar to how a camera uses a flash). Each flash only lasts nanoseconds (billionths of a second) to avoid damage to cells, but that normally means the images are both too weak to be detected and too fast to be digitized by normal instrumentation. The new microscope overcomes those challenges by using specially designed optics that amplify and boost the clarity of the images, and simultaneously slow them down enough to be detected and digitized at a rate of 36 million images per second.

A deep learning computer program, which identifies cancer cells with more than 95 percent accuracy. Deep learning is a form of artificial intelligence that uses complex algorithms to extract patterns and knowledge from rich multidimenstional datasets, with the goal of achieving accurate decision making.

The study was published in the open-access journal Nature Scientific Reports. The researchers write in the paper that the system could lead to data-driven diagnoses by cells’ physical characteristics, which could allow quicker and earlier diagnoses of cancer, for example, and better understanding of the tumor-specific gene expression in cells, which could facilitate new treatments for disease.

The research was supported by NantWorks, LLC.

 

Abstract of Deep Learning in Label-free Cell Classification

Label-free cell analysis is essential to personalized genomics, cancer diagnostics, and drug development as it avoids adverse effects of staining reagents on cellular viability and cell signaling. However, currently available label-free cell assays mostly rely only on a single feature and lack sufficient differentiation. Also, the sample size analyzed by these assays is limited due to their low throughput. Here, we integrate feature extraction and deep learning with high-throughput quantitative imaging enabled by photonic time stretch, achieving record high accuracy in label-free cell classification. Our system captures quantitative optical phase and intensity images and extracts multiple biophysical features of individual cells. These biophysical measurements form a hyperdimensional feature space in which supervised learning is performed for cell classification. We compare various learning algorithms including artificial neural network, support vector machine, logistic regression, and a novel deep learning pipeline, which adopts global optimization of receiver operating characteristics. As a validation of the enhanced sensitivity and specificity of our system, we show classification of white blood T-cells against colon cancer cells, as well as lipid accumulating algal strains for biofuel production. This system opens up a new path to data-driven phenotypic diagnosis and better understanding of the heterogeneous gene expressions in cells.

references:

Claire Lifan Chen, Ata Mahjoubfar, Li-Chia Tai, Ian K. Blaby, Allen Huang, Kayvan Reza Niazi & Bahram Jalali. Deep Learning in Label-free Cell Classification. Scientific Reports 6, Article number: 21471 (2016); doi:10.1038/srep21471 (open access)

Supplementary Information

 

Deep Learning in Label-free Cell Classification

Claire Lifan Chen, Ata Mahjoubfar, Li-Chia Tai, Ian K. Blaby, Allen Huang,Kayvan Reza Niazi & Bahram Jalali

Scientific Reports 6, Article number: 21471 (2016)    http://dx.doi.org:/10.1038/srep21471

Deep learning extracts patterns and knowledge from rich multidimenstional datasets. While it is extensively used for image recognition and speech processing, its application to label-free classification of cells has not been exploited. Flow cytometry is a powerful tool for large-scale cell analysis due to its ability to measure anisotropic elastic light scattering of millions of individual cells as well as emission of fluorescent labels conjugated to cells1,2. However, each cell is represented with single values per detection channels (forward scatter, side scatter, and emission bands) and often requires labeling with specific biomarkers for acceptable classification accuracy1,3. Imaging flow cytometry4,5 on the other hand captures images of cells, revealing significantly more information about the cells. For example, it can distinguish clusters and debris that would otherwise result in false positive identification in a conventional flow cytometer based on light scattering6.

In addition to classification accuracy, the throughput is another critical specification of a flow cytometer. Indeed high throughput, typically 100,000 cells per second, is needed to screen a large enough cell population to find rare abnormal cells that are indicative of early stage diseases. However there is a fundamental trade-off between throughput and accuracy in any measurement system7,8. For example, imaging flow cytometers face a throughput limit imposed by the speed of the CCD or the CMOS cameras, a number that is approximately 2000 cells/s for present systems9. Higher flow rates lead to blurred cell images due to the finite camera shutter speed. Many applications of flow analyzers such as cancer diagnostics, drug discovery, biofuel development, and emulsion characterization require classification of large sample sizes with a high-degree of statistical accuracy10. This has fueled research into alternative optical diagnostic techniques for characterization of cells and particles in flow.

Recently, our group has developed a label-free imaging flow-cytometry technique based on coherent optical implementation of the photonic time stretch concept11. This instrument overcomes the trade-off between sensitivity and speed by using Amplified Time-stretch Dispersive Fourier Transform12,13,14,15. In time stretched imaging16, the object’s spatial information is encoded in the spectrum of laser pulses within a pulse duration of sub-nanoseconds (Fig. 1). Each pulse representing one frame of the camera is then stretched in time so that it can be digitized in real-time by an electronic analog-to-digital converter (ADC). The ultra-fast pulse illumination freezes the motion of high-speed cells or particles in flow to achieve blur-free imaging. Detection sensitivity is challenged by the low number of photons collected during the ultra-short shutter time (optical pulse width) and the drop in the peak optical power resulting from the time stretch. These issues are solved in time stretch imaging by implementing a low noise-figure Raman amplifier within the dispersive device that performs time stretching8,11,16. Moreover, warped stretch transform17,18can be used in time stretch imaging to achieve optical image compression and nonuniform spatial resolution over the field-of-view19. In the coherent version of the instrument, the time stretch imaging is combined with spectral interferometry to measure quantitative phase and intensity images in real-time and at high throughput20. Integrated with a microfluidic channel, coherent time stretch imaging system in this work measures both quantitative optical phase shift and loss of individual cells as a high-speed imaging flow cytometer, capturing 36 million images per second in flow rates as high as 10 meters per second, reaching up to 100,000 cells per second throughput.

Figure 1: Time stretch quantitative phase imaging (TS-QPI) and analytics system; A mode-locked laser followed by a nonlinear fiber, an erbium doped fiber amplifier (EDFA), and a wavelength-division multiplexing (WDM) filter generate and shape a train of broadband optical pulses. http://www.nature.com/article-assets/npg/srep/2016/160315/srep21471/images_hires/m685/srep21471-f1.jpg

 

Box 1: The pulse train is spatially dispersed into a train of rainbow flashes illuminating the target as line scans. The spatial features of the target are encoded into the spectrum of the broadband optical pulses, each representing a one-dimensional frame. The ultra-short optical pulse illumination freezes the motion of cells during high speed flow to achieve blur-free imaging with a throughput of 100,000 cells/s. The phase shift and intensity loss at each location within the field of view are embedded into the spectral interference patterns using a Michelson interferometer. Box 2: The interferogram pulses were then stretched in time so that spatial information could be mapped into time through time-stretch dispersive Fourier transform (TS-DFT), and then captured by a single pixel photodetector and an analog-to-digital converter (ADC). The loss of sensitivity at high shutter speed is compensated by stimulated Raman amplification during time stretch. Box 3: (a) Pulse synchronization; the time-domain signal carrying serially captured rainbow pulses is transformed into a series of one-dimensional spatial maps, which are used for forming line images. (b) The biomass density of a cell leads to a spatially varying optical phase shift. When a rainbow flash passes through the cells, the changes in refractive index at different locations will cause phase walk-off at interrogation wavelengths. Hilbert transformation and phase unwrapping are used to extract the spatial phase shift. (c) Decoding the phase shift in each pulse at each wavelength and remapping it into a pixel reveals the protein concentration distribution within cells. The optical loss induced by the cells, embedded in the pulse intensity variations, is obtained from the amplitude of the slowly varying envelope of the spectral interferograms. Thus, quantitative optical phase shift and intensity loss images are captured simultaneously. Both images are calibrated based on the regions where the cells are absent. Cell features describing morphology, granularity, biomass, etc are extracted from the images. (d) These biophysical features are used in a machine learning algorithm for high-accuracy label-free classification of the cells.

On another note, surface markers used to label cells, such as EpCAM21, are unavailable in some applications; for example, melanoma or pancreatic circulating tumor cells (CTCs) as well as some cancer stem cells are EpCAM-negative and will escape EpCAM-based detection platforms22. Furthermore, large-population cell sorting opens the doors to downstream operations, where the negative impacts of labels on cellular behavior and viability are often unacceptable23. Cell labels may cause activating/inhibitory signal transduction, altering the behavior of the desired cellular subtypes, potentially leading to errors in downstream analysis, such as DNA sequencing and subpopulation regrowth. In this way, quantitative phase imaging (QPI) methods24,25,26,27 that categorize unlabeled living cells with high accuracy are needed. Coherent time stretch imaging is a method that enables quantitative phase imaging at ultrahigh throughput for non-invasive label-free screening of large number of cells.

In this work, the information of quantitative optical loss and phase images are fused into expert designed features, leading to a record label-free classification accuracy when combined with deep learning. Image mining techniques are applied, for the first time, to time stretch quantitative phase imaging to measure biophysical attributes including protein concentration, optical loss, and morphological features of single cells at an ultrahigh flow rate and in a label-free fashion. These attributes differ widely28,29,30,31 among cells and their variations reflect important information of genotypes and physiological stimuli32. The multiplexed biophysical features thus lead to information-rich hyper-dimensional representation of the cells for label-free classification with high statistical precision.

We further improved the accuracy, repeatability, and the balance between sensitivity and specificity of our label-free cell classification by a novel machine learning pipeline, which harnesses the advantages of multivariate supervised learning, as well as unique training by evolutionary global optimization of receiver operating characteristics (ROC). To demonstrate sensitivity, specificity, and accuracy of multi-feature label-free flow cytometry using our technique, we classified (1) OT-IIhybridoma T-lymphocytes and SW-480 colon cancer epithelial cells, and (2) Chlamydomonas reinhardtii algal cells (herein referred to as Chlamydomonas) based on their lipid content, which is related to the yield in biofuel production. Our preliminary results show that compared to classification by individual biophysical parameters, our label-free hyperdimensional technique improves the detection accuracy from 77.8% to 95.5%, or in other words, reduces the classification inaccuracy by about five times.     ……..

 

Feature Extraction

The decomposed components of sequential line scans form pairs of spatial maps, namely, optical phase and loss images as shown in Fig. 2 (see Section Methods: Image Reconstruction). These images are used to obtain biophysical fingerprints of the cells8,36. With domain expertise, raw images are fused and transformed into a suitable set of biophysical features, listed in Table 1, which the deep learning model further converts into learned features for improved classification.

The new technique combines two components that were invented at UCLA:

A “photonic time stretch” microscope, which is capable of quickly imaging cells in blood samples. Invented by Barham Jalali, professor and Northrop-Grumman Optoelectronics Chair in electrical engineering, it works by taking pictures of flowing blood cells using laser bursts (similar to how a camera uses a flash). Each flash only lasts nanoseconds (billionths of a second) to avoid damage to cells, but that normally means the images are both too weak to be detected and too fast to be digitized by normal instrumentation. The new microscope overcomes those challenges by using specially designed optics that amplify and boost the clarity of the images, and simultaneously slow them down enough to be detected and digitized at a rate of 36 million images per second.

A deep learning computer program, which identifies cancer cells with more than 95 percent accuracy. Deep learning is a form of artificial intelligence that uses complex algorithms to extract patterns and knowledge from rich multidimenstional datasets, with the goal of achieving accurate decision making.

The study was published in the open-access journal Nature Scientific Reports. The researchers write in the paper that the system could lead to data-driven diagnoses by cells’ physical characteristics, which could allow quicker and earlier diagnoses of cancer, for example, and better understanding of the tumor-specific gene expression in cells, which could facilitate new treatments for disease.

The research was supported by NantWorks, LLC.

 

http://www.nature.com/article-assets/npg/srep/2016/160315/srep21471/images_hires/m685/srep21471-f2.jpg

The optical loss images of the cells are affected by the attenuation of multiplexed wavelength components passing through the cells. The attenuation itself is governed by the absorption of the light in cells as well as the scattering from the surface of the cells and from the internal cell organelles. The optical loss image is derived from the low frequency component of the pulse interferograms. The optical phase image is extracted from the analytic form of the high frequency component of the pulse interferograms using Hilbert Transformation, followed by a phase unwrapping algorithm. Details of these derivations can be found in Section Methods. Also, supplementary Videos 1 and 2 show measurements of cell-induced optical path length difference by TS-QPI at four different points along the rainbow for OT-II and SW-480, respectively.

Table 1: List of extracted features.

Feature Name    Description         Category

 

Figure 3: Biophysical features formed by image fusion.

(a) Pairwise correlation matrix visualized as a heat map. The map depicts the correlation between all major 16 features extracted from the quantitative images. Diagonal elements of the matrix represent correlation of each parameter with itself, i.e. the autocorrelation. The subsets in box 1, box 2, and box 3 show high correlation because they are mainly related to morphological, optical phase, and optical loss feature categories, respectively. (b) Ranking of biophysical features based on their AUCs in single-feature classification. Blue bars show performance of the morphological parameters, which includes diameter along the interrogation rainbow, diameter along the flow direction, tight cell area, loose cell area, perimeter, circularity, major axis length, orientation, and median radius. As expected, morphology contains most information, but other biophysical features can contribute to improved performance of label-free cell classification. Orange bars show optical phase shift features i.e. optical path length differences and refractive index difference. Green bars show optical loss features representing scattering and absorption by the cell. The best performed feature in these three categories are marked in red.

Figure 4: Machine learning pipeline. Information of quantitative optical phase and loss images are fused to extract multivariate biophysical features of each cell, which are fed into a fully-connected neural network.

The neural network maps input features by a chain of weighted sum and nonlinear activation functions into learned feature space, convenient for classification. This deep neural network is globally trained via area under the curve (AUC) of the receiver operating characteristics (ROC). Each ROC curve corresponds to a set of weights for connections to an output node, generated by scanning the weight of the bias node. The training process maximizes AUC, pushing the ROC curve toward the upper left corner, which means improved sensitivity and specificity in classification.

….   How to cite this article: Chen, C. L. et al. Deep Learning in Label-free Cell Classification.

Sci. Rep. 6, 21471; http://dx.doi.org:/10.1038/srep21471

 

Computer Algorithm Helps Characterize Cancerous Genomic Variations

http://www.genengnews.com/gen-news-highlights/computer-algorithm-helps-characterize-cancerous-genomic-variations/81252626/

To better characterize the functional context of genomic variations in cancer, researchers developed a new computer algorithm called REVEALER. [UC San Diego Health]

Scientists at the University of California San Diego School of Medicine and the Broad Institute say they have developed a new computer algorithm—REVEALER—to better characterize the functional context of genomic variations in cancer. The tool, described in a paper (“Characterizing Genomic Alterations in Cancer by Complementary Functional Associations”) published in Nature Biotechnology, is designed to help researchers identify groups of genetic variations that together associate with a particular way cancer cells get activated, or how they respond to certain treatments.

REVEALER is available for free to the global scientific community via the bioinformatics software portal GenePattern.org.

“This computational analysis method effectively uncovers the functional context of genomic alterations, such as gene mutations, amplifications, or deletions, that drive tumor formation,” said senior author Pablo Tamayo, Ph.D., professor and co-director of the UC San Diego Moores Cancer Center Genomics and Computational Biology Shared Resource.

Dr. Tamayo and team tested REVEALER using The Cancer Genome Atlas (TCGA), the NIH’s database of genomic information from more than 500 human tumors representing many cancer types. REVEALER revealed gene alterations associated with the activation of several cellular processes known to play a role in tumor development and response to certain drugs. Some of these gene mutations were already known, but others were new.

For example, the researchers discovered new activating genomic abnormalities for beta-catenin, a cancer-promoting protein, and for the oxidative stress response that some cancers hijack to increase their viability.

REVEALER requires as input high-quality genomic data and a significant number of cancer samples, which can be a challenge, according to Dr. Tamayo. But REVEALER is more sensitive at detecting similarities between different types of genomic features and less dependent on simplifying statistical assumptions, compared to other methods, he adds.

“This study demonstrates the potential of combining functional profiling of cells with the characterizations of cancer genomes via next-generation sequencing,” said co-senior author Jill P. Mesirov, Ph.D., professor and associate vice chancellor for computational health sciences at UC San Diego School of Medicine.

 

Characterizing genomic alterations in cancer by complementary functional associations

Jong Wook Kim, Olga B Botvinnik, Omar Abudayyeh, Chet Birger, et al.

Nature Biotechnology (2016)              http://dx.doi.org:/10.1038/nbt.3527

Systematic efforts to sequence the cancer genome have identified large numbers of mutations and copy number alterations in human cancers. However, elucidating the functional consequences of these variants, and their interactions to drive or maintain oncogenic states, remains a challenge in cancer research. We developed REVEALER, a computational method that identifies combinations of mutually exclusive genomic alterations correlated with functional phenotypes, such as the activation or gene dependency of oncogenic pathways or sensitivity to a drug treatment. We used REVEALER to uncover complementary genomic alterations associated with the transcriptional activation of β-catenin and NRF2, MEK-inhibitor sensitivity, and KRAS dependency. REVEALER successfully identified both known and new associations, demonstrating the power of combining functional profiles with extensive characterization of genomic alterations in cancer genomes

 

Figure 2: REVEALER results for transcriptional activation of β-catenin in cancer.close

(a) This heatmap illustrates the use of the REVEALER approach to find complementary genomic alterations that match the transcriptional activation of β-catenin in cancer. The target profile is a TCF4 reporter that provides an estimate of…

 

An imaging-based platform for high-content, quantitative evaluation of therapeutic response in 3D tumour models

Jonathan P. Celli, Imran Rizvi, Adam R. Blanden, Iqbal Massodi, Michael D. Glidden, Brian W. Pogue & Tayyaba Hasan

Scientific Reports 4; 3751  (2014)    http://dx.doi.org:/10.1038/srep03751

While it is increasingly recognized that three-dimensional (3D) cell culture models recapitulate drug responses of human cancers with more fidelity than monolayer cultures, a lack of quantitative analysis methods limit their implementation for reliable and routine assessment of emerging therapies. Here, we introduce an approach based on computational analysis of fluorescence image data to provide high-content readouts of dose-dependent cytotoxicity, growth inhibition, treatment-induced architectural changes and size-dependent response in 3D tumour models. We demonstrate this approach in adherent 3D ovarian and pancreatic multiwell extracellular matrix tumour overlays subjected to a panel of clinically relevant cytotoxic modalities and appropriately designed controls for reliable quantification of fluorescence signal. This streamlined methodology reads out the high density of information embedded in 3D culture systems, while maintaining a level of speed and efficiency traditionally achieved with global colorimetric reporters in order to facilitate broader implementation of 3D tumour models in therapeutic screening.

The attrition rates for preclinical development of oncology therapeutics are particularly dismal due to a complex set of factors which includes 1) the failure of pre-clinical models to recapitulate determinants of in vivo treatment response, and 2) the limited ability of available assays to extract treatment-specific data integral to the complexities of therapeutic responses1,2,3. Three-dimensional (3D) tumour models have been shown to restore crucial stromal interactions which are missing in the more commonly used 2D cell culture and that influence tumour organization and architecture4,5,6,7,8, as well as therapeutic response9,10, multicellular resistance (MCR)11,12, drug penetration13,14, hypoxia15,16, and anti-apoptotic signaling17. However, such sophisticated models can only have an impact on therapeutic guidance if they are accompanied by robust quantitative assays, not only for cell viability but also for providing mechanistic insights related to the outcomes. While numerous assays for drug discovery exist18, they are generally not developed for use in 3D systems and are often inherently unsuitable. For example, colorimetric conversion products have been noted to bind to extracellular matrix (ECM)19 and traditional colorimetric cytotoxicity assays reduce treatment response to a single number reflecting a biochemical event that has been equated to cell viability (e.g. tetrazolium salt conversion20). Such approaches fail to provide insight into the spatial patterns of response within colonies, morphological or structural effects of drug response, or how overall culture viability may be obscuring the status of sub-populations that are resistant or partially responsive. Hence, the full benefit of implementing 3D tumour models in therapeutic development has yet to be realized for lack of analytical methods that describe the very aspects of treatment outcome that these systems restore.

Motivated by these factors, we introduce a new platform for quantitative in situ treatment assessment (qVISTA) in 3D tumour models based on computational analysis of information-dense biological image datasets (bioimage-informatics)21,22. This methodology provides software end-users with multiple levels of complexity in output content, from rapidly-interpreted dose response relationships to higher content quantitative insights into treatment-dependent architectural changes, spatial patterns of cytotoxicity within fields of multicellular structures, and statistical analysis of nodule-by-nodule size-dependent viability. The approach introduced here is cognizant of tradeoffs between optical resolution, data sampling (statistics), depth of field, and widespread usability (instrumentation requirement). Specifically, it is optimized for interpretation of fluorescent signals for disease-specific 3D tumour micronodules that are sufficiently small that thousands can be imaged simultaneously with little or no optical bias from widefield integration of signal along the optical axis of each object. At the core of our methodology is the premise that the copious numerical readouts gleaned from segmentation and interpretation of fluorescence signals in these image datasets can be converted into usable information to classify treatment effects comprehensively, without sacrificing the throughput of traditional screening approaches. It is hoped that this comprehensive treatment-assessment methodology will have significant impact in facilitating more sophisticated implementation of 3D cell culture models in preclinical screening by providing a level of content and biological relevance impossible with existing assays in monolayer cell culture in order to focus therapeutic targets and strategies before costly and tedious testing in animal models.

Using two different cell lines and as depicted in Figure 1, we adopt an ECM overlay method pioneered originally for 3D breast cancer models23, and developed in previous studies by us to model micrometastatic ovarian cancer19,24. This system leads to the formation of adherent multicellular 3D acini in approximately the same focal plane atop a laminin-rich ECM bed, implemented here in glass-bottom multiwell imaging plates for automated microscopy. The 3D nodules resultant from restoration of ECM signaling5,8, are heterogeneous in size24, in contrast to other 3D spheroid methods, such as rotary or hanging drop cultures10, in which cells are driven to aggregate into uniformly sized spheroids due to lack of an appropriate substrate to adhere to. Although the latter processes are also biologically relevant, it is the adherent tumour populations characteristic of advanced metastatic disease that are more likely to be managed with medical oncology, which are the focus of therapeutic evaluation herein. The heterogeneity in 3D structures formed via ECM overlay is validated here by endoscopic imaging ofin vivo tumours in orthotopic xenografts derived from the same cells (OVCAR-5).

 

Figure 1: A simplified schematic flow chart of imaging-based quantitative in situ treatment assessment (qVISTA) in 3D cell culture.

(This figure was prepared in Adobe Illustrator® software by MD Glidden, JP Celli and I Rizvi). A detailed breakdown of the image processing (Step 4) is provided in Supplemental Figure 1.

A critical component of the imaging-based strategy introduced here is the rational tradeoff of image-acquisition parameters for field of view, depth of field and optical resolution, and the development of image processing routines for appropriate removal of background, scaling of fluorescence signals from more than one channel and reliable segmentation of nodules. In order to obtain depth-resolved 3D structures for each nodule at sub-micron lateral resolution using a laser-scanning confocal system, it would require ~ 40 hours (at approximately 100 fields for each well with a 20× objective, times 1 minute/field for a coarse z-stack, times 24 wells) to image a single plate with the same coverage achieved in this study. Even if the resources were available to devote to such time-intensive image acquisition, not to mention the processing, the optical properties of the fluorophores would change during the required time frame for image acquisition, even with environmental controls to maintain culture viability during such extended imaging. The approach developed here, with a mind toward adaptation into high throughput screening, provides a rational balance of speed, requiring less than 30 minutes/plate, and statistical rigour, providing images of thousands of nodules in this time, as required for the high-content analysis developed in this study. These parameters can be further optimized for specific scenarios. For example, we obtain the same number of images in a 96 well plate as for a 24 well plate by acquiring only a single field from each well, rather than 4 stitched fields. This quadruples the number conditions assayed in a single run, at the expense of the number of nodules per condition, and therefore the ability to obtain statistical data sets for size-dependent response, Dfrac and other segmentation-dependent numerical readouts.

 

We envision that the system for high-content interrogation of therapeutic response in 3D cell culture could have widespread impact in multiple arenas from basic research to large scale drug development campaigns. As such, the treatment assessment methodology presented here does not require extraordinary optical instrumentation or computational resources, making it widely accessible to any research laboratory with an inverted fluorescence microscope and modestly equipped personal computer. And although we have focused here on cancer models, the methodology is broadly applicable to quantitative evaluation of other tissue models in regenerative medicine and tissue engineering. While this analysis toolbox could have impact in facilitating the implementation of in vitro 3D models in preclinical treatment evaluation in smaller academic laboratories, it could also be adopted as part of the screening pipeline in large pharma settings. With the implementation of appropriate temperature controls to handle basement membranes in current robotic liquid handling systems, our analyses could be used in ultra high-throughput screening. In addition to removing non-efficacious potential candidate drugs earlier in the pipeline, this approach could also yield the additional economic advantage of minimizing the use of costly time-intensive animal models through better estimates of dose range, sequence and schedule for combination regimens.

 

Microscope Uses AI to Find Cancer Cells More Efficiently

Thu, 04/14/2016 – by Shaun Mason

http://www.mdtmag.com/news/2016/04/microscope-uses-ai-find-cancer-cells-more-efficiently

Scientists at the California NanoSystems Institute at UCLA have developed a new technique for identifying cancer cells in blood samples faster and more accurately than the current standard methods.

In one common approach to testing for cancer, doctors add biochemicals to blood samples. Those biochemicals attach biological “labels” to the cancer cells, and those labels enable instruments to detect and identify them. However, the biochemicals can damage the cells and render the samples unusable for future analyses.

There are other current techniques that don’t use labeling but can be inaccurate because they identify cancer cells based only on one physical characteristic.

The new technique images cells without destroying them and can identify 16 physical characteristics — including size, granularity and biomass — instead of just one. It combines two components that were invented at UCLA: a photonic time stretch microscope, which is capable of quickly imaging cells in blood samples, and a deep learning computer program that identifies cancer cells with over 95 percent accuracy.

Deep learning is a form of artificial intelligence that uses complex algorithms to extract meaning from data with the goal of achieving accurate decision making.

The study, which was published in the journal Nature Scientific Reports, was led by Barham Jalali, professor and Northrop-Grumman Optoelectronics Chair in electrical engineering; Claire Lifan Chen, a UCLA doctoral student; and Ata Mahjoubfar, a UCLA postdoctoral fellow.

Photonic time stretch was invented by Jalali, and he holds a patent for the technology. The new microscope is just one of many possible applications; it works by taking pictures of flowing blood cells using laser bursts in the way that a camera uses a flash. This process happens so quickly — in nanoseconds, or billionths of a second — that the images would be too weak to be detected and too fast to be digitized by normal instrumentation.

The new microscope overcomes those challenges using specially designed optics that boost the clarity of the images and simultaneously slow them enough to be detected and digitized at a rate of 36 million images per second. It then uses deep learning to distinguish cancer cells from healthy white blood cells.

“Each frame is slowed down in time and optically amplified so it can be digitized,” Mahjoubfar said. “This lets us perform fast cell imaging that the artificial intelligence component can distinguish.”

Normally, taking pictures in such minuscule periods of time would require intense illumination, which could destroy live cells. The UCLA approach also eliminates that problem.

“The photonic time stretch technique allows us to identify rogue cells in a short time with low-level illumination,” Chen said.

The researchers write in the paper that the system could lead to data-driven diagnoses by cells’ physical characteristics, which could allow quicker and earlier diagnoses of cancer, for example, and better understanding of the tumor-specific gene expression in cells, which could facilitate new treatments for disease.   …..  see also http://www.nature.com/article-assets/npg/srep/2016/160315/srep21471/images_hires/m685/srep21471-f1.jpg

Chen, C. L. et al. Deep Learning in Label-free Cell Classification.    Sci. Rep. 6, 21471;   http://dx.doi.org:/10.1038/srep21471

 

 

Read Full Post »

Prions and protein misfolding disorders

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

Prions and protein-folding diseases
E. Norrby
J Intern Med 2011; 270: 1–14. http://dx.doi.org:/10.1111/j.1365-2796.2011.02387.x

Prions represent a group of proteins with a unique capacity to fold into different conformations. One isoform is rich in beta-pleated sheets and can aggregate into amyloid that may be pathogenic. This abnormal form propagates itself by imposing its confirmation on the homologous normal host cell protein. Pathogenic prions have been shown to cause lethal neurodegenerative diseases in humans and animals. These diseases are sometimes infectious and hence referred to as transmissible spongiform encephalopathies. In the present review, the remarkable evolution of the heterodox prion concept is summarized. The origin of this phenomenon is based on information transfer between homologous proteins, without the involvement of nucleic acid-encoded mechanisms. Historically, kuru and Creutzfeldt-Jakob disease (CJD) were the first infectious prion diseases to be identified in man. It was their relationship to scrapie in sheep and experimental rodents that allowed an unravelling of the particular molecular mechanism that underlie the disease process. Transmission between humans has been documented to have occurred in particular contexts, including ritual cannibalism, iatrogenic transmission because of pituitary gland-derived growth hormone or the use in neurosurgical procedures of dura mater from cadavers, and the temporary use of a prion-contaminated protein-rich feed for cows. The latter caused a major outbreak of bovine spongiform encephalopathy, which spread to man by human consumption of contaminated meat, causing approximately 200 cases of variant CJD. All these epidemics now appear to be over because of measures taken to curtail further spread of prions. Recent studies have shown that the mechanism of protein aggregation may apply to a wider range of diseases in and possibly also outside the brain, some of which are relatively common such as Alzheimer’s and Parkinson’s diseases. Furthermore, it has become apparent that the phenomenon of prion aggregation may have a wider physiological importance, but a full understanding of this remains to be defined. It may involve maintaining neuronal functions and possibly contributing to the establishment of long-term memory.

The history of the identification of the infectious nature of prion diseases and the discovery of the chemical nature of this type of infectious agent is remarkable. The great advances in this field of research have been recognized by two Nobel Prizes in Physiology or Medicine: one in 1976 to D. Carleton Gajdusek (a prize shared with Baruch S. Blumberg, for the discovery of hepatitis B virus) and the other in 1997 to Stanley B. Prusiner. Infectious prion diseases represent relatively rare phenomena mostly observed in the context of the spread of the agent by human intervention. However, the principal molecular mechanisms that lead to disease may have applications for a number of much more common noncontagious diseases. Two fundamental observations are relevant to the understanding of the molecular mechanisms involved. The first is that the same polypeptide chain, depending on the environmental conditions, including the possible presence of homologous proteins with a predetermined folding pattern, may take on dramatically altered folding. In certain cases, major aggregates of homologous proteins may be formed and such aggregates in turn may display cytopathogenic effects. A degenerative disease may ensue. The second relevant observation is that much still remains to be learnt about protein-folding phenomena and the role of information transfer systems engaging only proteins. Many proteins have sequences of amino acids that make them potentially prionogenic. Such sequences that under certain circumstances may be the cause of disease in mammals can, in another context, play a central role in physiological functions, for example, as the source of epigenetic mechanisms of protein signalling of importance for the survival of yeast cells.

In this review, our emerging understanding of the mechanisms of prion diseases will first be discussed, in particular their unique mechanisms of spread will be considered. The original belief in relatively firm barriers preventing the spread of prions between species was questioned when it became clear that bovine spongiform encephalopathy (BSE), also known as ‘mad cow disease’, could be transmitted to man. It was then shown, surprisingly, that the disease contracted from infected cattle could spread from man to man by blood transfusion. Next, the possibility of a much wider application of the pathogenic mechanism of cell destruction by protein aggregation, including degenerative processes causing for example Alzheimer’s and Parkinson’s diseases, will be discussed. The rapidly growing appreciation of the significance of signaling between proteins outside the canonical steps of the central dogma ofmolecular biology will finally be considered.  ….

Unique samples of brain collected by Gajdusek allowed identification of the histopathology of kuru. It showed many similarities to the changes in brains from patients with sporadic sCJD, but there were also similarities to the changes in brains from sheep with scrapie as noted by Hadlow [2]. His observation encouraged Gajdusek to attempt to transmit these non-inflammatory diseases to chimpanzees. He and his collaborators were successful in transmitting first kuru [3] and then CJD [4] by intracerebral inoculation of chimpanzees. The term transmissible spongiform encephalitis (TSE) was commonly used to refer to this kind of infection.

Next, after determining that kuru was infectious, the route of transmission was found to be the ritual cannibalism practiced by the Fore people [5]. The body of the deceased relative was prepared for the funeral meal, and the central nervous system containing the largest concentration of the infectious agent was consumed mainly by the women and children; thus, they were primarily affected by the disease (Fig. 1). However, no child born after 1960, the year in which the practice of ritual cannibalism ceased, has contracted kuru. The incubation time of the disease can be long, potentially longer than the life span of the individual, and cases of kuru have occurred in the present century [6]. The infectious nature of sCJD had been demonstrated, but it was initially unclear how it might spread. In fact, under normal conditions, CJD is not infectious. To date, careful studies of transfusion of blood from people incubating or even displaying early signs of CJD have not revealed any spread of the agent between individuals by this route [7]. Only under conditions of medical interventions involving brain material could an iatrogenic spread of the spontaneous form of the disease be demonstrated.

 

Throughout the 1970s, Gajdusek continued to refer to the infectious agents that cause kuru⁄CJD as slow viruses, and this situation did not change until Prusiner began to gain insights into the chemical nature of the agents using hamster scrapie as amodel to isolate and characterize them. He continued to purify the infectious material from hamster brains until he produced a relatively pure protein preparation [8]. Because of the lack of any evidence of participating nucleic acid in this preparation, he named it prion (proteinaceous and infectious particle) [9]. The protein preparation – referred to as PrP 27–30 (prion protein with a molecular weight 27–30 kD) – was pure enough to determine a short section of its amino terminal amino acid sequence. This information made it possible to determine that the gene responsible for the synthesis of the prion protein was not foreign, but a normal host cell gene [10]. Thus, it became possible to explain the absence of any inflammatory response in the tissues in the presence of this infectious disease; under healthy conditions, we do not develop immunological reactions to our own tissues.

Following the identification of the PrP gene, it was possible to produce mice deficient in PrP using ‘knockout’ technology [11]. At this time, it was known that the PrP protein appears in the brain early during embryonic development. It was found, unexpectedly, that development and life span appeared to be normal in animals without PrP protein. The PrP-knockout mice could be used for two types of critical follow-up experiments.

First, after infection with different doses of infectious prion material, the knockout mice were found to be completely refractory to development of disease [12, 13]. Furthermore, they could mount an immune response to the PrP protein, as this no longer represented an endogenous product. For the first time, antibodies could be generated against different parts of the protein. The protein that Prusiner et al. had identified was indeed critical to the pathogenic process in prion diseases.

The second type of experiment was to investigate the effects of reintroducing into the PrP-knockout mice either a modified homologous PrP gene (carrying a substitution or deletion of a single or a stretch of amino acids) or a PrP gene from a different species. The former experiment enabled attempts to dissect the role of different parts of the PrP protein in the pathogenic process (as discussed below). The latter enabled the evaluation of the species specificity of PrP proteins. Mice are normally infected only by prions from othermice or rodents, such as hamsters, but not from more distant species. However, by generation of transgenic mice carrying for example a human or a bovine PrP gene, this species barrier can be overcome providing important opportunities for studies of different kinds of pathogenic PrP proteins of relevance for human disease. Inappropriate folding and aggregation of proteins can cause disease

Diseases caused by protein aggregation have been known for a long time. They are collectively referred to as amyloid diseases, a term reflecting the original misconception that the observed stainable deposits contained starch (amylum in Latin). Later, it was demonstrated that they were in fact composed of various kinds of proteins. The amyloid deposits have characteristic staining properties and show birefringence under polarized light. Protein aggregates showing these characteristics were demonstrated in the brains of patients with CJD. However, amyloid formation is not always a feature of prion disease [14]. It is in fact found in only about 10% of the brains of patients with sCJD, but at a much higher rate in patients with other forms of the disease.

It then became possible to determine the structure of purified PrP using nuclear magnetic resonance analysis [15, 16]. It was shown that PrP can appear in two completely different forms, albeit with an identical amino acid sequence. The ‘healthy’ protein, referred to as PrP-C (control), has a structure involving predominantly two large alpha-helix structures, whereas there is a predominance of beta-pleated sheets in the pathological PrP-TSE protein (Fig. 2). It is the PrP-TSE protein that may form amyloid protein aggregates. The reason for the two completely different configurations of the same protein is not known, but a critical observation is that if a small amount of PrP-TSE is added to a larger amount of PrP-C, the ‘healthy’ protein is converted to the TSE form by an as yet undefined contagious ‘snowball’ effect. Two theoretical models, nucleation-polymerization and template assistance, have been proposed to explain this ([17], Fig. 3). However, as discussed in the next section, only certain kinds of proteins are capable of forming amyloid and are truly infectious, and the term prion is reserved for them; the term prionogenic has been introduced to include noninfectious amyloid-generating proteins.

The awareness that CJD was a disease that could be transmitted to experimental animals immediately raised the question of to what extent itmight be transmissible between humans. There was no epidemiological evidence of connections between cases of CJD, except for an increased frequency of occurrence in certain families and ethnic groups. In the light of understanding the seminal importance of PrP in the disease, it could be deduced that familial cases must be because of inherited mutations in different sites of the PrP gene, whereas sporadic cases were likely to be caused by mutation(s) accumulated in somatic (possibly brain) cells or alternatively a spontaneous emergence of amisfolded PrP protein (the nucleation– polymerization model) during the lifetime of the individual. As already mentioned, to date it has not been possible to find evidence for transmission of disease from individuals with sCJD by blood transmission [7], but relatively recent data provide evidence for a possible transmission of scrapie in sheep by experimental blood transfusion [18].

Gajdusek and collaborators at an early stage began to search for evidence of the spread of CJD through medical intervention. They found that in CJD, as in scrapie, the majority of infectious prions were located in the brain; indeed, brain tissue is about 100 000 times more infectious than peripheral tissues, such as blood [19]. The first case of iatrogenic spread of CJD between two individuals was found in connection with a corneal transplant [20], and later the similar spread to two relatively young individuals was demonstrated as a result of using electrodes for intracerebral recording [21].

Three epidemics of strikingly different origins have been documented, and all comprise slightly in excess of two hundred cases with the maximum number of cases at the end of the 1990s (Fig. 4). The first of the three epidemics was caused by the use of human growth hormone prepared from pools of many hundreds of pituitary glands from cadavers [see 19 for references]. Because these preparations were used in growing individuals, many of the victims of the disease were relatively young. When this iatrogenic spread of CJD prions was discovered, the product was rapidly withdrawn, and it was progressively replaced by growth hormone prepared by recombinant DNA technology. The average incubation time of this parenterally injected material was estimated to be 15 years (range 4–36 years). The total number of cases to date is 206, and the epidemic seems to have just reached an end. Most cases occurred in France, 109 of 1700 treated individuals. The corresponding figures are 56 of 1848 treated individuals in the UK and 28 of 7700, in the USA. In the USA, an additional step of purification was introduced in 1977, which may have reduced the risk of transmission of infectious prions.

The second epidemic has a distinctly different iatrogenic background. It relates to the previous use of heterologous cadaveric dura mater material to improve the healing process after neurosurgical interventions [see 19 for references]. The total number of cases registered to date is 196 (only 142 shown in Fig. 4), the majority (63%) of which have been in Japan. The estimated average incubation time was 11 years (range 16 months – 23 years). The use of this type of graft was banned in the UK in 1989 and in Japan in 1997. In 1987 a disinfection step with NaOH was introduced, but eventually this was not considered safe. The alternatives used today are synthetic dura mater material, connective tissue (fascia lata orfascia temporalis) from the patient or material of animal origin (bovine pericardium)’. Overall, it seems that the threat of iatrogenic spread of CJD is now minimal [19]. With the present awareness of the situation, any potential occupational risk of disease, for example, for surgeons and nurses involved in brain surgical procedures, can in practical terms be eliminated.

The main focus of interest during the last 15 years has been the third epidemic, the unexpected spread of prions from cattle to man. …..

Fig. 2 Fundamentally different structures of normal and inappropriately folded PrP protein. The latter has a predominance of beta-pleated sheets, which gives it a propensity to aggregate with other homologous proteins potentially causing destruction of tissues. Figure kindly provided by Paul Brown.

Fig. 3 Schematic model of conversion of PrP-C to PrP-TSE. In the nucleation-polymerization model, there is a rapid conversion of PrP protein between the PrP-C (circles) and PrP-TSE forms (squares), but the former is more stable. In the presence of an aggregate large enough to act as a stable nucleus, illustrated by the collection of PrP-TSE squares, a change from PrP-C to PrP-TSE is favored. In the template-assistance model, the conversion of PrP-C or a modified conformation, PrP-INT (intermediate), to Prp-TSE is extremely slow in the absence of PrP-TSE, but the process of conversion is essentially irreversible. PrP-TSE is able to propagate itself by catalysing the conversion of other PrP-INT molecules to the PrP-TSE confirmation. The final product of the two models is amyloid,which is potentially responsible for the disease process. Modified from ref. 17

In 1989 mandatory changes in slaughtering techniques were introduced. These changes ensured that the brain and spinal cord, the main sources of prions, were excluded from products used for human consumption. The precaution was taken even though at the time it was not anticipated that prions could spread from cattle directly to man, as there had never been any evidence that the scrapie agent could spread from sheep to man. In principle, the same species barrier that had prevented such a spread for hundreds of years was expected to exist also between cows andman. However, in 1994 the first case of CJD of bovine origin was identified inman [22]. For several reasons, it was concluded that this case was caused by transmission of prions from cows. ….

Once it became clear that the presence of the PrP gene was absolutely essential to the development of PrPTSE-derived diseases and that animals without PrP, unexpectedly, seemed to develop normally, it was important to determine the physiological role of the PrP protein. However, despite many studies, its fundamental function(s) still remains to be definitively identified. Different studies have highlighted a wide range of different functions [37–42]. The chromosomal gene denoted Prnp encodes PrP. It is a member of the Prn gene family, which also genes encoding two other proteins. The PrP open reading frame is encoded within a single exon directing the synthesis of a protein with 254 amino acids. This protein is post-translationally modified by removal of a 22-amino acid, amino terminal signal peptide and a 23-amino acid carboxy terminal. The latter directs the addition of a glycosylphosphatidyl inositol membrane anchor. Under normal conditions, PrP is a membrane-bound protein, but it can also show biological activity and cause infectious amyloid disease in a nonmembrane-bound form [43]. The protein has two glycosylation sites and an internal disulphide bond. All these properties are shared between molecules exerting their normal physiological function(s) and proteins causing prion diseases. The majority, but not all, PrP proteins are relatively resistant to protease digestion. This property was used in the early attempts to purify the protein. Proteinase digestion cleaves about 67 amino acids from the amino terminal of the 209-amino acid final protein product. This produces PrP 27–30, a truncated protein, which can still form amyloid. This was the protein used by Prusiner et al. to identify the nature of PrP. Alignment of PrP sequences of different mammalian origin shows a striking degree of conservation, highlighting a crucial biological function preserved through evolution [42]. However, there are also differences, which explain the species barrier to disease transmission mentioned earlier.

A number of different functions have been proposed for the normal protein: modulation of signal pathways of importance for the survival of cells, protection against oxidative stress and binding of copper. It was recently reported that membrane-bound PrP represents the major cellular receptor for the oligomeric beta-amyloid involved in Alzheimer’s disease [44]. Whether there is any significance to this possible connection between mechanisms of development of these two neurodegenerative diseases that both depend on transmission of inappropriately folded proteins remains to be seen. A number of recent studies points towards the particular importance of the PrP protein for long-term maintenance of neuronal functions. One study involving four independently targeted mouse strains depleted of PrP-C demonstrated a role of the gene product for peripheral myelin maintenance [45]. Ablation of the protein triggered chronic demyelinating neuropathy. Other recent results suggest that the seminal role of normal PrP is to maintain brain cells in good condition and protect them from overexcitement.   ….

The early studies of transmissible prion brain disease inmice and hamsters revealed that agents of different origin and⁄ or passage history could cause disease after different incubation times and with different histopathologies [51]. Originally, this was interpreted to mean that nucleic acids must play a role in prion inheritance because it was believed at the time that only this type ofmolecule could be the source of stably inherited properties. However, the more the system was analysed, the more it became clear that proteins alone could be a source of diversity, the expression of which to a considerable extent was dependent on the environmental conditions. To date, studies of hereditable human prion diseases have demonstrated correlations with more than 40 different mutations in the PrP gene [see ref 42]. These genetic variants include single-nucleotide base changes, deletions and occurrence of a varying number of segmental repeats. The effects of many of these types of genetic changes have now been mimicked by the use of transgenic mice. It has been shown that prions exist as conformationally diverse populations and that amongst these there are different strains that can replicate with independent reproducibility. Prion transformation may occur by competition and selection [52]. Other studies have focused on the effect of deletion of the part of the PrP-TSE protein that is responsible for anchoring to the cytoplasmic membrane [43]. The soluble form of PrP-TSE can still cause disease, but there is a major change in the incubation time and in histopathological changes in the infected brain [53, 54].

The propensity of certain proteins to form potentially pathogenic aggregates can be examined currently by four different approaches.

  1. Synthetic peptides exploring amino acid-dependent conformational differences that determine the emergence of polymorphic amyloid fibrils structurallymimicking prion strains.
  2. Performance of bioinformatic proteome-wide surveys for prionogenic proteins in certain species.
  3. Examination of the product(s) of replication of prions of different molecular characteristics in transgenic mice with a PrP gene construct of a preselected, potentially different species origin (possibly a chimera), with different molecular characteristics and displaying varying levels of expression.
  4. Treatment of prion inocula prior to inoculation by different procedures to attempt to increase the infectiousness of the preparation. This is referred to as in vitro generation of prions, but it should be kept in mind that the read-out of prion ‘replication’ is always anin vivo system. ….

Prion replication in mammalian systems requires the presence of both PrP-C and PrP-TSE. The latter serves as a seeding nucleus or a template onto which the physiological form of the protein is refolded into the infectious conformation (see Fig. 3). To undergo conversion, it is likely that PrP-C must develop an intermediate state.

Experimentally induced increase in the infectiousness of a prion-containing material can be achieved in vivo or in vitro. Many different experiments have demonstrated that it is the characteristics of the seeding nucleus or template that decides the nature of the final product.  ….

In further experiments, including denaturation by guanidine hydrochloride at varying concentrations, it was demonstrated that the conformational stability of the prions (either native or synthetic) correlated with the incubation period of disease [65–68]. Even protease-sensitive forms of PrP have been found to be capable of inducing disease [69].

In vitro replication of infectious PrP using a mixture in which all reagents are defined and employing a cell culture read out system as not yet been demonstrated. Nevertheless, there is general agreement that the successful generation of new infectious material that has been achieved both in vivo and in vitro rules out the possibility that prion replication is dependent on information stored in nucleic acids. ….

It has become increasingly realized that there is an extensive flow of information, or cross-talk, between proteins. Many proteins do not have a firm three-dimensional form in their native state, but represent a random coil; on coming into contact with a specific part of another protein or another chemical structure that they take on a fixed three-dimensional structure. Others can, under certain conditions, spontaneously move from secondary to tertiary and even quaternary structures. Still, protein folding as a general phenomenon has only been incompletely explained, and it is known that in many cases assisting proteins, like the chaperones, need to be present. It has been clearly demonstrated that the same polypeptide chain may take on very different conformations and that this occurs under various environmental conditions, in particular in the presence of homologous proteins already folded into one form or another. Epigenetics, i.e. the transfer of resilient genetic information not stored in nucleic acid sequences, is a rapidly expanding field and there is room for still more surprises from the study of prions.

Infectious prion diseases are rare, but the mechanism of tissue destruction by aggregation of proteins via their beta-pleated sheets seems to also apply to many other diseases, some of which are common [71, 72]. Several examples are given in Table 1. One interesting case is the beta-amyloid protein, which plays a central role in Alzheimer’s disease. …

Table 1 Prions and potential prionoids

Brain extracts from transgenic mice expressing mutant forms of tau protein have been injected into brains of other transgenic mice expressing human wild-type tau, leading to development of aggregates of the human tau [75]. Thus ‘tauopathies’ may be the result of a prion-like process in which hyperphosphorylation of the protein leads to polymerization and subsequently produces filamentous protein aggregates. There is also evidence for prion-like transmission of polyglutamine protein aggregates, characteristic of Huntington’s disease [76]. Studies have shown that amyloid protein A, the critical protein in secondary amyloidosis, injected into mouse brain can lead to degenerative disease [77]. Additional studies of material from patients with Parkinson’s disease have revealed that the occurrence of inappropriate protein folding can be transmitted from the cells of the host to transplanted cells (see [78]). Also, diseases outside the central nervous system can involve cells subjected to degenerative processes induced by inappropriately folded proteins; one example of this is diabetes type 2 [79]. Although these different diseases appear to have their origin in self-sustained aggregation of prionoid proteins, it should be noted that there is no evidence that they may be transmitted by an infectious process.

To date, the focus in studies of mammalian prions and prionogenic proteins has been on their potential for development of disease. Whether this category of proteins may also, as in the case of fungi, carry important physiological functions remains to be determined. It was recently demonstrated that the cytoplasmic polyadenylation element binding protein can form prion-like multimers in sensory neurons in the nervous system of the giant marine snail Aplysia [80]. This modification has been proposed to serve a function in long-term memory. Thus, for readers who have followed this review to the end, recollection of the salient facts and speculations presented – if stored for the future – may be due to aggregation of prionogenic proteins in the brain, provided of course that the fundamental long-term memory mechanisms of the human brain are similar to those of Aplysia.

 

Protein aggregation and aggregate toxicity: new insights into protein folding, misfolding diseases and biological evolution
Massimo Stefani · Christopher M. Dobson
J Mol Med 2003; 81:678–699      http://dx.doi.org:/10.1007/s00109-003-0464-5

The deposition of proteins in the form of amyloid fibrils and plaques is the characteristic feature of more than 20 degenerative conditions affecting either the central nervous system or a variety of peripheral tissues. As these conditions include Alzheimer’s, Parkinson’s and the prion diseases, several forms of fatal systemic amyloidosis, and at least one condition associated with medical intervention (haemodialysis), they are of enormous importance in the context of present-day human health and welfare. Much remains to be learned about the mechanism by which the proteins associated with these diseases aggregate and form amyloid structures, and how the latter affect the functions of the organs with which they are associated. A great deal of information concerning these diseases has emerged, however, during the past 5 years, much of it causing a number of fundamental assumptions about the amyloid diseases to be reexamined. For example, it is now apparent that the ability to form amyloid structures is not an unusual feature of the small number of proteins associated with these diseases but is instead a general property of polypeptide chains. It has also been found recently that aggregates of proteins not associated with amyloid diseases can impair the ability of cells to function to a similar extent as aggregates of proteins linked with specific neurodegenerative conditions. Moreover, the mature amyloid fibrils or plaques appear to be substantially less toxic than the prefibrillar aggregates that are their precursors. The toxicity of these early aggregates appears to result from an intrinsic ability to impair fundamental cellular processes by interacting with cellular membranes, causing oxidative stress and increases in free Ca2+ that eventually lead to apoptotic or necrotic cell death. The ‘new view’ of these diseases also suggests that other degenerative conditions could have similar underlying origins to those of the amyloidoses. In addition, cellular protection mechanisms, such as molecular chaperones and the protein degradation machinery, appear to be crucial in the prevention of disease in normally functioning living organisms. It also suggests some intriguing new factors that could be of great significance in the evolution of biological molecules and the mechanisms that regulate their behavior.

The genetic information within a cell encodes not only the specific structures and functions of proteins but also the way these structures are attained through the process known as protein folding. In recent years many of the underlying features of the fundamental mechanism of this complex process and the manner in which it is regulated in living systems have emerged from a combination of experimental and theoretical studies [1]. The knowledge gained from these studies has also raised a host of interesting issues. It has become apparent, for example, that the folding and unfolding of proteins is associated with a whole range of cellular processes from the trafficking of molecules to specific organelles to the regulation of the cell cycle and the immune response. Such observations led to the inevitable conclusion that the failure to fold correctly, or to remain correctly folded, gives rise to many different types of biological malfunctions and hence to many different forms of disease [2]. In addition, it has been recognised recently that a large number of eukaryotic genes code for proteins that appear to be ‘natively unfolded’, and that proteins can adopt, under certain circumstances, highly organised multi-molecular assemblies whose structures are not specifically encoded in the amino acid sequence. Both these observations have raised challenging questions about one of the most fundamental principles of biology: the close relationship between the sequence, structure and function of proteins, as we discuss below [3]. It is well established that proteins that are ‘misfolded’, i.e. that are not in their functionally relevant conformation, are devoid of normal biological activity. In addition, they often aggregate and/or interact inappropriately with other cellular components leading to impairment of cell viability and eventually to cell death. Many diseases, often known as misfolding or conformational diseases, ultimately result from the presence in a living system of protein molecules with structures that are ‘incorrect’, i.e. that differ from those in normally functioning organisms [4]. Such diseases include conditions in which a specific protein, or protein complex, fails to fold correctly (e.g. cystic fibrosis, Marfan syndrome, amyotonic lateral sclerosis) or is not sufficiently stable to perform its normal function (e.g. many forms of cancer). They also include conditions in which aberrant folding behaviour results in the failure of a protein to be correctly trafficked (e.g. familial hypercholesterolaemia, α1-antitrypsin deficiency, and some forms of retinitis pigmentosa) [4]. The tendency of proteins to aggregate, often to give species extremely intractable to dissolution and refolding, is of course also well known in other circumstances. Examples include the formation of inclusion bodies during overexpression of heterologous proteins in bacteria and the precipitation of proteins during laboratory purification procedures. Indeed, protein aggregation is well established as one of the major difficulties associated with the production and handling of proteins in the biotechnology and pharmaceutical industries [5].

Considerable attention is presently focused on a group of protein folding diseases known as amyloidoses. In these diseases specific peptides or proteins fail to fold or to remain correctly folded and then aggregate (often with other components) so as to give rise to ‘amyloid’ deposits in tissue. Amyloid structures can be recognised because they possess a series of specific tinctorial and biophysical characteristics that reflect a common core structure based on the presence of highly organised β- sheets [6]. The deposits in strictly defined amyloidoses are extracellular and can often be observed as thread-like fibrillar structures, sometimes assembled further into larger aggregates or plaques. These diseases include a range of sporadic, familial or transmissible degenerative diseases, some of which affect the brain and the central nervous system (e.g. Alzheimer’s and Creutzfeldt-Jakob diseases), while others involve peripheral tissues and organs such as the liver, heart and spleen (e.g. systemic amyloidoses and type II diabetes) [7, 8]. In other forms of amyloidosis, such as primary or secondary systemic amyloidoses, proteinaceous deposits are found in skeletal tissue and joints (e.g. haemodialysis-related amyloidosis) as well as in several organs (e.g. heart and kidney). Yet other components such as collagen, glycosaminoglycans and proteins (e.g. serum amyloid protein) are often present in the deposits protecting them against degradation [9, 10, 11]. Similar deposits to those in the amyloidoses are, however, found intracellularly in other diseases; these can be localised either in the cytoplasm, in the form of specialised aggregates known as aggresomes or as Lewy or Russell bodies or in the nucleus (see below).

The presence in tissue of proteinaceous deposits is a hallmark of all these diseases, suggesting a causative link between aggregate formation and pathological symptoms (often known as the amyloid hypothesis) [7, 8, 12]. At the present time the link between amyloid formation and disease is widely accepted on the basis of a large number of biochemical and genetic studies. The specific nature of the pathogenic species, and the molecular basis of their ability to damage cells, are however, the subject of intense debate [13, 14, 15, 16, 17, 18, 19, 20]. In neurodegenerative disorders it is very likely that the impairment of cellular function follows directly from the interactions of the aggregated proteins with cellular components [21, 22]. In the systemic non-neurological diseases, however, it is widely believed that the accumulation in vital organs of large amounts of amyloid deposits can by itself cause at least some of the clinical symptoms [23]. It is quite possible, however, that there are other more specific effects of aggregates on biochemical processes even in these diseases. The presence of extracellular or intracellular aggregates of a specific polypep tide molecule is a characteristic of all the 20 or so recognised amyloid diseases. The polypeptides involved include full length proteins (e.g. lysozyme or immunoglobulin light chains), biological peptides (amylin, atrial natriuretic factor) and fragments of larger proteins produced as a result of specific processing (e.g. the Alzheimer β- peptide) or of more general degradation [e.g. poly(Q) stretches cleaved from proteins with poly(Q) extensions such as huntingtin, ataxins and the androgen receptor]. The peptides and proteins associated with known amyloid diseases are listed in Table 1. In some cases the proteins involved have wild type sequences, as in sporadic forms of the diseases, but in other cases these are variants resulting from genetic mutations associated with familial forms of the diseases. In some cases both sporadic and familial diseases are associated with a given protein; in this case the mutational variants are usually associated with early-onset forms of the disease. In the case of the neurodegenerative diseases associated with the prion protein some forms of the diseases are transmissible. The existence of familial forms of a number of amyloid diseases has provided significant clues to the origins of the pathologies. For example, there are increasingly strong links between the age at onset of familial forms of disease and the effects of the mutations involved on the propensity of the affected proteins to aggregate in vitro. Such findings also support the link between the process of aggregation and the clinical manifestations of disease [24, 25].

The presence in cells of misfolded or aggregated proteins triggers a complex biological response. In the cytosol, this is referred to as the ‘heat shock response’ and in the endoplasmic reticulum (ER) it is known as the ‘unfolded protein response’. These responses lead to the expression, among others, of the genes for heat shock proteins (Hsp, or molecular chaperone proteins) and proteins involved in the ubiquitin-proteasome pathway [26]. The evolution of such complex biochemical machinery testifies to the fact that it is necessary for cells to isolate and clear rapidly and efficiently any unfolded or incorrectly folded protein as soon as it appears. In itself this fact suggests that these species could have a generally adverse effect on cellular components and cell viability. Indeed, it was a major step forward in understanding many aspects of cell biology when it was recognised that proteins previously associated only with stress, such as heat shock, are in fact crucial in the normal functioning of living systems. This advance, for example, led to the discovery of the role of molecular chaperones in protein folding and in the normal ‘housekeeping’ processes that are inherent in healthy cells [27, 28]. More recently a number of degenerative diseases, both neurological and systemic, have been linked to, or shown to be affected by, impairment of the ubiquitin-proteasome pathway (Table 2). The diseases are primarily associated with a reduction in either the expression or the biological activity of Hsps, ubiquitin, ubiquitinating or deubiquitinating enzymes and the proteasome itself, as we show below [29, 30, 31, 32], or even to the failure of the quality control mechanisms that ensure proper maturation of proteins in the ER. The latter normally leads to degradation of a significant proportion of polypeptide chains before they have attained their native conformations through retrograde translocation to the cytosol [33, 34]. For example, the most common mutation of the CFTR chloride channel associated with cystic fibrosis interferes with the cor rect folding of the polypeptide chain; as a consequence, much of the mutated protein is not secreted but is retained in the ER and rapidly degraded even though, when properly folded, it could still function as ion channel at the cell surface ([35] and references therein).

Table 1 A summary of the main amyloidoses and the proteins or peptides involved

Table 2 Neurodegenerative diseases with inclusion bodies shown to be linked to deficits of the ubiquitin-proteasome pathway (modified from [26])

It is now well established that the molecular basis of protein aggregation into amyloid structures involves the existence of ‘misfolded’ forms of proteins, i.e. proteins that are not in the structures in which they normally function in vivo or of fragments of proteins resulting from degradation processes that are inherently unable to fold [4, 7, 8, 36]. Aggregation is one of the common consequences of a polypeptide chain failing to reach or maintain its functional three-dimensional structure. Such events can be associated with specific mutations, misprocessing phenomena, aberrant interactions with metal ions, changes in environmental conditions, such as pH or temperature, or chemical modification (oxidation, proteolysis). Perturbations in the conformational properties of the polypeptide chain resulting from such phenomena may affect equilibrium 1 in Fig. 1 increasing the population of partially unfolded, or misfolded, species that are much more aggregation-prone than the native state. …

Fig. 1 Overview of the possible fates of a newly synthesised polypeptide chain. The equilibrium ① between the partially folded molecules and the natively folded ones is usually strongly in favour of the latter except as a result of specific mutations, chemical modifications or partially destabilising solution conditions. The increased equilibrium populations of molecules in the partially or completely unfolded ensemble of structures are usually degraded by the proteasome; when this clearance mechanism is impaired, such species often form disordered aggregates or shift equilibrium ② towards the nucleation of pre-fibrillar assemblies that eventually grow into mature fibrils (equilibrium ③). DANGER! indicates that pre-fibrillar aggregates in most cases display much higher toxicity than mature fibrils. Heat shock proteins (Hsp) can suppress the appearance of pre-fibrillar assemblies by minimising the population of the partially folded molecules by assisting in the correct folding of the nascent chain and the unfolded protein response target incorrectly folded proteins for degradation.

The various peptides and proteins associated with amyloid diseases have no obvious similarities in size, amino acid composition, sequence or structure. Nevertheless, the amyloid fibrils into which they convert have marked similarities both in their external morphology (Fig. 2) and in their internal structure (Fig. 3). Circular dichroism and Fourier transform infra-red spectroscopy both indicate a high content of β-structure, even when the monomeric peptide or protein is substantially disordered or rich in α-helical structure. Although it has not yet proved possible to obtain a detailed definition of the molecular structure of any amyloid fibril, investigations by electron and atomic force microscopy show that they are typically long, straight and unbranched. The fibrils are typically 6–12 nm in diameter and usually consist of two to six ‘protofilaments’, each of diameter about 2 nm, that are often twisted around each other to form supercoiled rope-like structures [38, 39]. Each protofilament in such structures appears to have a highly ordered inner core that X-ray fibre diffraction data suggest consists of some or all of the polypeptide chain arranged in a characteristic cross-β structure. In this structural organisation, the β-strands run perpendicular to the protofilament axis, resulting in a series of β-sheets that propagate along the direction of the fibril (Fig. 3).

Little is known at present about the detailed arrangement of the polypeptide chains themselves within amyloid fibrils, either those parts involved in the core β- strands or in regions that connect the various β-strands. Recent data suggest that the sheets are relatively untwisted and may in some cases at least exist in quite specific supersecondary structure motifs such as β-helices [6, 40] or the recently proposed µ-helix [41]. It seems possible that there may be significant differences in the way the strands are assembled depending on characteristics of the polypeptide chain involved [6, 42]. Factors including length, sequence (and in some cases the presence of disulphide bonds or post-translational modifications such as glycosylation) may be important in determining details of the structures. Several recent papers report structural models for amyloid fibrils containing different polypeptide chains, including the Aβ40 peptide, insulin and fragments of the prion protein, based on data from such techniques as cryo-electron microscopy and solid-state magnetic resonance spectroscopy [43, 44]. These models have much in common and do indeed appear to reflect the fact that the structures of different fibrils are likely to be variations on a common theme [40]. It is also emerging that there may be some common and highly organised assemblies of amyloid protofilaments that are not simply extended threads or ribbons. It is clear, for example, that in some cases large closed loops can be formed [45, 46, 47], and there may be specific types of relatively small spherical or ‘doughnut’ shaped structures that can result in at least some circumstances.

Fig. 4 Some amyloid-related peptides/proteins form early aggregates of globular appearance that further organise into beaded chains, globular annular ‘doughnut’ shaped assemblies eventually giving mature protofilaments and fibrils. Pre-fibrilar aggregates may interact with reconstituted phospholipid membranes and with cell membranes where they form aspecific channels (pores) disrupting cellular homeostasis. The latter possible mechanism of toxicity is similar to that displayed by antimicrobial peptides, pore-forming eukaryotic proteins and bacterial toxins and newly synthesised cyclic peptide antibiotics (see text). The electron micrographs of the globular and beaded chains of Aβ peptides are taken from Harper et al. [200]. The electron micrographs of the rings of the α-synuclein A53T (upper row) and A30P (middle row) mutants and of the Alzheimer precursor protein artic mutant (lower row) are from [201].

The similarity of some early amyloid aggregates with the pores resulting from oligomerisation of bacterial toxins and pore-forming eukaryotic proteins (see below) also suggest that the basic mechanism of protein aggregation into amyloid structures may not only be associated with diseases but in some cases could result in species with functional significance. Recent evidence indicates that a variety of micro-organisms may exploit the controlled aggregation of specific proteins (or their precursors) to generate functional structures. Examples include bacterial curli [52] and proteins of the interior fibre cells of mammalian ocular lenses, whose β-sheet arrays seem to be organised in an amyloid-like supramolecular order [53]. In this case the inherent stability of amyloid-like protein structure may contribute to the long-term structural integrity and transparency of the lens. Recently it has been hypothesised that amyloid-like aggregates of serum amyloid A found in secondary amyloidoses following chronic inflammatory diseases protect the host against bacterial infections by inducing lysis of bacterial cells [54]. One particularly interesting example is a ‘misfolded’ form of the milk protein α-lactalbumin that is formed at low pH and trapped by the presence of specific lipid molecules [55]. This form of the protein has been reported to trigger apoptosis selectively in tumour cells providing evidence for its importance in protecting infants from certain types of cancer [55]. ….

Until about 30 years ago proteolysis was considered to be the primary factor triggering the formation of amyloid aggregates in vivo, following the demonstration that lysosomal enzymes, at acidic pH values, are able to convert amyloidogenic proteins into amyloid fibrils [56]. This idea was challenged around 10 years ago when it was shown that transthyretin can be converted in vitro into amyloid fibrils following an acid-induced conformational change [57]. This finding demonstrated that a modification of the three-dimensional structure was sufficient to enable the production of an aggregation-prone species. This suggestion was not immediately accepted, at least in part as a consequence of the well established fact that the peptide found in the plaques characteristic of Alzheimer’s disease resulted from proteolysis of the Alzheimer’s precursor protein. Following these initial observations a large number of proteins known to aggregate in vivo were found to form fibrillar aggregates in vitro as a result of induced conformational changes; these data, however, reinforced the idea that the molecular basis of protein aggregation was an unusual feature of the few peptides and proteins found to be associated with the amyloid diseases, resulting from a specific conformational change related to the specific amino acid sequences. In 1998 two papers were published, each reporting the observation that a protein unrelated to any amyloid disease aggregated in vitro to form structures indistinguishable from the amyloid fibrils that could be produced from the disease-associated peptides and proteins [58, 59]. These observations were made by chance, but it was soon shown that a similar conversion could be achieved deliberately for other proteins by a rational choice of solution conditions [60, 61]. Since then a substantial number of similar studies have been reported ([61] and references therein; Table 3). In each case aggregation of a full-length protein to form amyloid fibrils was found to require solution conditions (such as low pH, lack of specific ligands, high temperature, moderate concentrations of salts or co-solvents such as trifluoroethanol) such that the native structure was partially or completely disrupted but under which interactions such as hydrogen-bonding were not completely inhibited. …..

It was generally assumed until recently that the proteinaceous aggregates most toxic to cells are likely to be mature amyloid fibrils, the form of aggregates that have been commonly detected in pathological deposits. It therefore appeared probable that the pathogenic features underlying amyloid diseases are a consequence of the interaction with cells of extracellular deposits of aggregated material. As well as forming the basis for understanding the fundamental causes of these diseases, this scenario stimulated the exploration of therapeutic approaches to amyloidoses that focused mainly on the search for molecules able to impair the growth and deposition of fibrillar forms of aggregated proteins. An increasing quantity of recent experimental data suggests, however, that in many cases at least the species that are most highly toxic to cells are the pre-fibrillar aggregates (sometimes referred to as amorphous aggregates, protein micelles or protofibrils) rather than the mature fibrils into which they often develop. In particular, a number of reports concerning Aβ peptides, α synuclein and transthyretin indicate that these early aggregates are the most toxic species [18, 76, 77, 78, 79, 80]; in addition, the presence of such species has also been reported for huntingtin [44], and possibly the androgen receptor [81] in diseased transgenic mice. The hypothesis that toxicity is exhibited primarily by early aggregates also provides an explanation for the lack of existence of a direct correlation between the density of fibrillar plaques in the brains of victims of Alzheimer’s disease and the severity of the clinical symptoms [82]. ….

The presence of toxic aggregates inside or outside cells can impair a number of cell functions that ultimately lead to cell death by an apoptotic mechanism [95, 96]. Recent research suggests, however, that in most cases initial perturbations to fundamental cellular processes underlie the impairment of cell function induced by aggregates of disease-associated polypeptides. Many pieces of data point to a central role of modifications to the intracellular redox status and free Ca2+ levels in cells exposed to toxic aggregates [45, 89, 97, 98, 99, 100, 101]. A modification of the intracellular redox status in such cells is associated with a sharp increase in the quantity of reactive oxygen species (ROS) that is reminiscent of the oxidative burst by which leukocytes destroy invading foreign cells after phagocytosis. In addition, changes have been observed in reactive nitrogen species, lipid peroxidation, deregulation of NO metabolism [97], protein nitrosylation [102] and upregulation of heme oxygenase-1, a specific marker of oxidative stress [103]. …..

It is not clear why protein aggregation is followed, even in vitro, by production of ROS. In the case of Aβ42, Met35, Gly29 and Gly33 have been suggested to be involved [109]; a role has also been proposed for metal ions such as Fe, Cu and Zn, for example, through the generation of hydroxide radicals from hydrogen peroxide [110, 111]. An upregulation of the activity of hydrogen peroxide-producing membrane enzymes, such as plasma membrane NADPH oxidase and ER cytochrome P450 reductase, has also been reported in Aβ-induced neurotoxicity in microglia and in cortical neurons [112, 113]. More generally, intracellular oxidative stress could be related to some form of destabilisation of cell membranes by toxic species leading to a failure to regulate appropriately plasma membrane proteins such as receptors and ion pumps [114] and/or to impairment of mitochondrial function. Mitochondria play a well recognised role in oxidative stress and apoptosis; in this regard, a key factor in Aβ peptide neurotoxicity could be the opening of mitochondrial permeability transition pores by Ca2+ entry in neuronal mitochondria [115] followed by release of cytochrome c, a strong inducer of apoptosis. …

Since 1993, a ‘channel hypothesis’ of the molecular basis of the cytotoxicity of amyloid aggregates has been put forward [131] by similarity with the proposed mechanism of toxicity of pore-forming peptides and proteins [90, 91]. As is pointed out above, this idea stems from a number of pieces of evidence leading to the proposal that unchaperoned, positively charged and misfolded proteins, or early aggregates of such species, can interact with lipid membranes ([90, 91] and references therein). Evidence for this proposal comes from the study of both artificial model systems, such as phospholipid bilayers, and cell membranes; in the latter the function of specific membrane proteins has been found to be impaired [78, 91]. In most cases interaction of a misfolded species with a membrane would occur via a two-step mechanism involving electrostatic interaction of the positively charged residues with negatively charged or polar lipid head groups followed by the insertion of hydrophobic regions into the membrane hydrophobic interior [91].

According to this hypothesis, misfolding of proteins, such as at least some of those involved in neurodegenerative diseases, would then induce cytotoxicity. Such cytotoxicity would be a direct consequence of the exposure of hydrophobic regions, favouring the interaction of the misfolded species with the plasma membrane and other cell membranes and leading to membrane damage via the formation of non-specific ion channels. These channels, or pores, have been described for a number of peptide and proteins associated with amyloid disease including Aβ peptides [19, 45, 78, 89] and their fragments [132], α-synuclein [133], islet-amyloid polypeptide [86], the 106–126 fragment of the prion protein [41], poly(Q) stretches [134, 135], the C-type natriuretic peptide [84], β2-microglobulin [48], transthyretin [136], murine serum amyloid A [137] and the N-terminal peptide of an acutephase isoform variant of human serum amyloid A1.1 (SAAp) [54]. The channels have been investigated primarily by recording ion currents across biological or reconstituted membranes, but ‘doughnuts’ of channel-like assemblies of pre-fibrillar aggregates of Aβ1–42, α-synuclein, transthyretin and serum amyloid A have also been observed by electron and atomic force microscopy [45, 46, 49, 137]. ….

In general, heterogeneity of amyloid intermediates, including globules, chains, doughnuts, protofilaments and fibrils, could result in increased potency of toxicity since the different types of intermediates may act in differing ways on membranes such as the suite of peptides in venoms. In the case of α-synuclein the ‘pores’ coexist with fibrils under conditions of molecular crowding [138], raising the possibility that the former are more stable under cytoplasmic conditions and leading to the proposal that they are the pathogenic species in Parkinson’s disease [46]. The size-dependent permeabilisation of artificial vesicles by protofibrillar α-synuclein suggests that permeabilisation occurs mainly as a result of a specific membrane perturbation via the formation of pores at least 2.5 nm in diameter [46]. If α-synuclein annular protofibrils are the pathogenic species in Parkinson’s disease and other amyloidoses, inhibition of their production should represent a suitable therapeutic strategy. However, it is difficult to imagine a drug molecule able to distinguish specifically among chain protofibrils, annular protofibrils and mature fibrils, when one considers that protofibril elongation into fibrils and protofibril annulation are likely to involve the same interactions leading to β-sheet extension [88]. ….

Fig. 6 Flow-chart of the main molecular steps leading misfolded polypeptide chains to induce cell death. In the panel, aggregation of proteins into fully formed, mature amyloid fibrils could be considered to be potentially beneficial in the light of recent findings indicating that, at least in most cases, the true toxic species are the early pre-fibrillar aggregates, whereas mature fibrils appear less toxic or devoid of toxicity. Degradation of misfolded proteins is carried out by the ubiquitin-proteasome machinery. The path leading to cell death occurs when the chaperone and clearing cellular machineries are overwhelmed by the presence of an excess of unfolded/malfolded proteins; the latter is followed by the appearance of unstable amyloid nuclei and pre-fibrillar assemblies further growing into mature fibrils; such assemblies may also interact with cell membranes destabilising them and modifying ion balance possibly by formation of aspecific membrane pores. The rise of the intracellular free Ca2+ and ROS is one of the earliest modification in the path of cell death following cell exposure to early amyloid aggregates of most peptides and proteins. (Modified from [91]).

The potential cytotoxicity of many aggregated proteins suggests that, in addition to providing cells with mechanisms to clear unfolded and misfolded proteins and to minimise their ability to induce toxicity, evolution must also have operated to eliminate protein sequences with a high intrinsic propensity to aggregate [8]. Thus mutations that are neutral with respect to protein function could be selected against because they enhance the tendency of proteins to aggregate under physiological conditions. It is interesting in this regard that most of the polypeptide chains associated with aggregation diseases are either intact, or fragments of, proteins that are secreted or membrane bound. It could be that such proteins are more easily able to escape the cellular mechanisms that protect against misfolding and aggregation. Moreover, it is possible that processing in the ER prior to secretion through the Golgi, or indeed the events involved in the retrograde translocation into the cytosol of polypeptide chains that have failed the quality-control tests in the ER [35], represent additional steps associated with folding in which errors could occur or accumulate. The recent studies of the ways in which structural adaptations of proteins can minimise their tendency to misfold and aggregate mentioned above show, however, that polypeptides are far from optimised in their ability to resist aggregation. One reason for this fact is that sequences must encode many features of proteins, such as their need to fold and to bind to other species. Another is that sequences selected by evolution are in general optimised only to an extent that allows a particular organism to function efficiently during its normal life span [148]. …

The data reported in the past few years strongly suggest that the conversion of normally soluble proteins into amyloid fibrils and the toxicity of small aggregates appearing during the early stages of the formation of the latter are common or generic features of polypeptide chains. Moreover, the molecular basis of this toxicity also appears to display common features between the different systems that have so far been studied. The ability of many, perhaps all, natural polypeptides to ‘misfold’ and convert into toxic aggregates under suitable conditions suggests that one of the most important driving forces in the evolution of proteins must have been the negative selection against sequence changes that increase the tendency of a polypeptide chain to aggregate. Nevertheless, as protein folding is a stochastic process, and no such process can be completely infallible, misfolded proteins or protein folding intermediates in equilibrium with the natively folded molecules must continuously form within cells. Thus mechanisms to deal with such species must have co-evolved with proteins. Indeed, it is clear that misfolding, and the associated tendency to aggregate, is kept under control by molecular chaperones, which render the resulting species harmless assisting in their refolding, or triggering their degradation by the cellular clearance machinery [166, 167, 168, 169, 170, 171, 172, 173, 175, 177, 178]. Misfolded and aggregated species are likely to owe their toxicity to the exposure on their surfaces of regions of proteins that are buried in the interior of the structures of the correctly folded native states. The exposure of large patches of hydrophobic groups is likely to be particularly significant as such patches favour the interaction of the misfolded species with cell membranes [44, 83, 89, 90, 91, 93]. Interactions of this type are likely to lead to the impairment of the function and integrity of the membranes involved, giving rise to a loss of regulation of the intracellular ion balance and redox status and eventually to cell death. In addition, misfolded proteins undoubtedly interact inappropriately with other cellular components, potentially giving rise to the impairment of a range of other biological processes. Under some conditions the intracellular content of aggregated species may increase directly, due to an enhanced propensity of incompletely folded or misfolded species to aggregate within the cell itself. This could occur as the result of the expression of mutational variants of proteins with decreased stability or cooperativity or with an intrinsically higher propensity to aggregate. It could also occur as a result of the overproduction of some types of protein, for example, because of other genetic factors or other disease conditions, or because of perturbations to the cellular environment that generate conditions favouring aggregation, such as heat shock or oxidative stress. Finally, the accumulation of misfolded or aggregated proteins could arise from the chaperone and clearance mechanisms becoming overwhelmed as a result of specific mutant phenotypes or of the general effects of ageing [173, 174].

The topics discussed in this review not only provide a great deal of evidence for the ‘new view’ that proteins have an intrinsic capability of misfolding and forming structures such as amyloid fibrils but also suggest that the role of molecular chaperones is even more important than was thought in the past. The role of these ubiquitous proteins in enhancing the efficiency of protein folding is well established [185]. It could well be that they are at least as important in controlling the harmful effects of misfolded or aggregated proteins as in enhancing the yield of functional molecules.
https://www.researchgate.net/profile/Massimo_Stefani/publication/10595052_Protein_Aggregation_and_Aggregate_Toxicity_New_Insights_into_Protein_Folding_Misfolding_Diseases_and_Biological_Evolution/links/0046352171a742f19a000000.pdf

 

Protein Misfolding, Evolution and Disease
Dobson C. M.
Trends in biochemical sciences 1999; 24(9): 329-332   0968-0004
http://www.ncbi.nlm.nih.gov/pubmed/10470028
http://dx.doi.org/10.1016/S0968-0004(99)01445-0

 

Read Full Post »

CRISPR/Cas9, Familial Amyloid Polyneuropathy ( FAP) and Neurodegenerative Disease

CRISPR/Cas9, Familial Amyloid Polyneuropathy (FAP) and Neurodegenerative Disease, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 2: CRISPR for Gene Editing and DNA Repair

CRISPR/Cas9, Familial Amyloid Polyneuropathy ( FAP) and Neurodegenerative Disease

Curator: Larry H. Bernstein, MD, FCAP

 

CRISPR/Cas9 and Targeted Genome Editing: A New Era in Molecular Biology

https://www.neb.com/tools-and-resources/feature-articles/crispr-cas9-and-targeted-genome-editing-a-new-era-in-molecular-biology

The development of efficient and reliable ways to make precise, targeted changes to the genome of living cells is a long-standing goal for biomedical researchers. Recently, a new tool based on a bacterial CRISPR-associated protein-9 nuclease (Cas9) from Streptococcus pyogenes has generated considerable excitement (1). This follows several attempts over the years to manipulate gene function, including homologous recombination (2) and RNA interference (RNAi) (3). RNAi, in particular, became a laboratory staple enabling inexpensive and high-throughput interrogation of gene function (4, 5), but it is hampered by providing only temporary inhibition of gene function and unpredictable off-target effects (6). Other recent approaches to targeted genome modification – zinc-finger nucleases [ZFNs, (7)] and transcription-activator like effector nucleases [TALENs (8)]– enable researchers to generate permanent mutations by introducing doublestranded breaks to activate repair pathways. These approaches are costly and time-consuming to engineer, limiting their widespread use, particularly for large scale, high-throughput studies.

The Biology of Cas9

The functions of CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) and CRISPR-associated (Cas) genes are essential in adaptive immunity in select bacteria and archaea, enabling the organisms to respond to and eliminate invading genetic material. These repeats were initially discovered in the 1980s in E. coli (9), but their function wasn’t confirmed until 2007 by Barrangou and colleagues, who demonstrated that S. thermophilus can acquire resistance against a bacteriophage by integrating a genome fragment of an infectious virus into its CRISPR locus (10).

Three types of CRISPR mechanisms have been identified, of which type II is the most studied. In this case, invading DNA from viruses or plasmids is cut into small fragments and incorporated into a CRISPR locus amidst a series of short repeats (around 20 bps). The loci are transcribed, and transcripts are then processed to generate small RNAs (crRNA – CRISPR RNA), which are used to guide effector endonucleases that target invading DNA based on sequence complementarity (Figure 1) (11).

Figure 1. Cas9 in vivo: Bacterial Adaptive Immunity

https://www.neb.com/~/media/NebUs/Files/Feature%20Articles/Images/FA_Cas9_Fig1_Cas9InVivo.png

In the acquisition phase, foreign DNA is incorporated into the bacterial genome at the CRISPR loci. CRISPR loci is then transcribed and processed into crRNA during crRNA biogenesis. During interference, Cas9 endonuclease complexed with a crRNA and separate tracrRNA cleaves foreign DNA containing a 20-nucleotide crRNA complementary sequence adjacent to the PAM sequence. (Figure not drawn to scale.)

https://www.neb.com/~/media/NebUs/Files/Feature%20Articles/Images/FA_Cas9_GenomeEditingGlossary.png

One Cas protein, Cas9 (also known as Csn1), has been shown, through knockdown and rescue experiments to be a key player in certain CRISPR mechanisms (specifically type II CRISPR systems). The type II CRISPR mechanism is unique compared to other CRISPR systems, as only one Cas protein (Cas9) is required for gene silencing (12). In type II systems, Cas9 participates in the processing of crRNAs (12), and is responsible for the destruction of the target DNA (11). Cas9’s function in both of these steps relies on the presence of two nuclease domains, a RuvC-like nuclease domain located at the amino terminus and a HNH-like nuclease domain that resides in the mid-region of the protein (13).

To achieve site-specific DNA recognition and cleavage, Cas9 must be complexed with both a crRNA and a separate trans-activating crRNA (tracrRNA or trRNA), that is partially complementary to the crRNA (11). The tracrRNA is required for crRNA maturation from a primary transcript encoding multiple pre-crRNAs. This occurs in the presence of RNase III and Cas9 (12).

During the destruction of target DNA, the HNH and RuvC-like nuclease domains cut both DNA strands, generating double-stranded breaks (DSBs) at sites defined by a 20-nucleotide target sequence within an associated crRNA transcript (11, 14). The HNH domain cleaves the complementary strand, while the RuvC domain cleaves the noncomplementary strand.

The double-stranded endonuclease activity of Cas9 also requires that a short conserved sequence, (2–5 nts) known as protospacer-associated motif (PAM), follows immediately 3´- of the crRNA complementary sequence (15). In fact, even fully complementary sequences are ignored by Cas9-RNA in the absence of a PAM sequence (16).

Cas9 and CRISPR as a New Tool in Molecular Biology

The simplicity of the type II CRISPR nuclease, with only three required components (Cas9 along with the crRNA and trRNA) makes this system amenable to adaptation for genome editing. This potential was realized in 2012 by the Doudna and Charpentier labs (11). Based on the type II CRISPR system described previously, the authors developed a simplified two-component system by combining trRNA and crRNA into a single synthetic single guide RNA (sgRNA). sgRNAprogrammed Cas9 was shown to be as effective as Cas9 programmed with separate trRNA and crRNA in guiding targeted gene alterations (Figure 2A).

To date, three different variants of the Cas9 nuclease have been adopted in genome-editing protocols. The first is wild-type Cas9, which can site-specifically cleave double-stranded DNA, resulting in the activation of the doublestrand break (DSB) repair machinery. DSBs can be repaired by the cellular Non-Homologous End Joining (NHEJ) pathway (17), resulting in insertions and/or deletions (indels) which disrupt the targeted locus. Alternatively, if a donor template with homology to the targeted locus is supplied, the DSB may be repaired by the homology-directed repair (HDR) pathway allowing for precise replacement mutations to be made (Figure 2A) (17, 18).

Cong and colleagues (1) took the Cas9 system a step further towards increased precision by developing a mutant form, known as Cas9D10A, with only nickase activity. This means it cleaves only one DNA strand, and does not activate NHEJ. Instead, when provided with a homologous repair template, DNA repairs are conducted via the high-fidelity HDR pathway only, resulting in reduced indel mutations (1, 11, 19). Cas9D10A is even more appealing in terms of target specificity when loci are targeted by paired Cas9 complexes designed to generate adjacent DNA nicks (20) (see further details about “paired nickases” in Figure 2B).

The third variant is a nuclease-deficient Cas9 (dCas9, Figure 2C) (21). Mutations H840A in the HNH domain and D10A in the RuvC domain inactivate cleavage activity, but do not prevent DNA binding (11, 22). Therefore, this variant can be used to sequence-specifically target any region of the genome without cleavage. Instead, by fusing with various effector domains, dCas9 can be used either as a gene silencing or activation tool (21, 23–26). Furthermore, it can be used as a visualization tool. For instance, Chen and colleagues used dCas9 fused to Enhanced Green Fluorescent Protein (EGFP) to visualize repetitive DNA sequences with a single sgRNA or nonrepetitive loci using multiple sgRNAs (27).

Figure 2. CRISPR/Cas9 System Applications

https://www.neb.com/~/media/NebUs/Files/Feature%20Articles/Images/FA_Cas9_Fig2_Cas9forGenomeEditing.png?device=modal

  1. Wild-type Cas9 nuclease site specifically cleaves double-stranded DNA activating double-strand break repair machinery. In the absence of a homologous repair template non-homologous end joining can result in indels disrupting the target sequence. Alternatively, precise mutations and knock-ins can be made by providing a homologous repair template and exploiting the homology directed repair pathway.
    B. Mutated Cas9 makes a site specific single-strand nick. Two sgRNA can be used to introduce a staggered double-stranded break which can then undergo homology directed repair.
    C. Nuclease-deficient Cas9 can be fused with various effector domains allowing specific localization. For example, transcriptional activators, repressors, and fluorescent proteins.

Targeting Efficiency and Off-target Mutations

Targeting efficiency, or the percentage of desired mutation achieved, is one of the most important parameters by which to assess a genome-editing tool. The targeting efficiency of Cas9 compares favorably with more established methods, such as TALENs or ZFNs (8). For example, in human cells, custom-designed ZFNs and TALENs could only achieve efficiencies ranging from 1% to 50% (29–31). In contrast, the Cas9 system has been reported to have efficiencies up to >70% in zebrafish (32) and plants (33), and ranging from 2–5% in induced pluripotent stem cells (34). In addition, Zhou and colleagues were able to improve genome targeting up to 78% in one-cell mouse embryos, and achieved effective germline transmission through the use of dual sgRNAs to simultaneously target an individual gene (35).

A widely used method to identify mutations is the T7 Endonuclease I mutation detection assay (36, 37) (Figure 3). This assay detects heteroduplex DNA that results from the annealing of a DNA strand, including desired mutations, with a wildtype DNA strand (37).

Figure 3. T7 Endonuclease I Targeting Efficiency Assay

https://www.neb.com/~/media/NebUs/Files/Feature%20Articles/Images/FA_Cas9_Fig3_T7Assay_TargetEfficiency.png

Genomic DNA is amplified with primers bracketing the modified locus. PCR products are then denatured and re-annealed yielding 3 possible structures. Duplexes containing a mismatch are digested by T7 Endonuclease I. The DNA is then electrophoretically separated and fragment analysis is used to calculate targeting efficiency.

Another important parameter is the incidence of off-target mutations. Such mutations are likely to appear in sites that have differences of only a few nucleotides compared to the original sequence, as long as they are adjacent to a PAM sequence. This occurs as Cas9 can tolerate up to 5 base mismatches within the protospacer region (36) or a single base difference in the PAM sequence (38). Off-target mutations are generally more difficult to detect, requiring whole-genome sequencing to rule them out completely.

Recent improvements to the CRISPR system for reducing off-target mutations have been made through the use of truncated gRNA (truncated within the crRNA-derived sequence) or by adding two extra guanine (G) nucleotides to the 5´ end (28, 37). Another way researchers have attempted to minimize off-target effects is with the use of “paired nickases” (20). This strategy uses D10A Cas9 and two sgRNAs complementary to the adjacent area on opposite strands of the target site (Figure 2B). While this induces DSBs in the target DNA, it is expected to create only single nicks in off-target locations and, therefore, result in minimal off-target mutations.

By leveraging computation to reduce off-target mutations, several groups have developed webbased tools to facilitate the identification of potential CRISPR target sites and assess their potential for off-target cleavage. Examples include the CRISPR Design Tool (38) and the ZiFiT Targeter, Version 4.2 (39, 40).

Applications as a Genome-editing and Genome Targeting Tool

Following its initial demonstration in 2012 (9), the CRISPR/Cas9 system has been widely adopted. This has already been successfully used to target important genes in many cell lines and organisms, including human (34), bacteria (41), zebrafish (32), C. elegans (42), plants (34), Xenopus tropicalis (43), yeast (44), Drosophila (45), monkeys (46), rabbits (47), pigs (42), rats (48) and mice (49). Several groups have now taken advantage of this method to introduce single point mutations (deletions or insertions) in a particular target gene, via a single gRNA (14, 21, 29). Using a pair of gRNA-directed Cas9 nucleases instead, it is also possible to induce large deletions or genomic rearrangements, such as inversions or translocations (50). A recent exciting development is the use of the dCas9 version of the CRISPR/Cas9 system to target protein domains for transcriptional regulation (26, 51, 52), epigenetic modification (25), and microscopic visualization of specific genome loci (27).

The CRISPR/Cas9 system requires only the redesign of the crRNA to change target specificity. This contrasts with other genome editing tools, including zinc finger and TALENs, where redesign of the protein-DNA interface is required. Furthermore, CRISPR/Cas9 enables rapid genome-wide interrogation of gene function by generating large gRNA libraries (51, 53) for genomic screening.

The Future of CRISPR/Cas9

The rapid progress in developing Cas9 into a set of tools for cell and molecular biology research has been remarkable, likely due to the simplicity, high efficiency and versatility of the system. Of the designer nuclease systems currently available for precision genome engineering, the CRISPR/Cas system is by far the most user friendly. It is now also clear that Cas9’s potential reaches beyond DNA cleavage, and its usefulness for genome locus-specific recruitment of proteins will likely only be limited by our imagination.

 

Scientists urge caution in using new CRISPR technology to treat human genetic disease

By Robert Sanders, Media relations | MARCH 19, 2015
http://news.berkeley.edu/2015/03/19/scientists-urge-caution-in-using-new-crispr-technology-to-treat-human-genetic-disease/

http://news.berkeley.edu/wp-content/uploads/2015/03/crispr350.jpg

The bacterial enzyme Cas9 is the engine of RNA-programmed genome engineering in human cells. (Graphic by Jennifer Doudna/UC Berkeley)

A group of 18 scientists and ethicists today warned that a revolutionary new tool to cut and splice DNA should be used cautiously when attempting to fix human genetic disease, and strongly discouraged any attempts at making changes to the human genome that could be passed on to offspring.

Among the authors of this warning is Jennifer Doudna, the co-inventor of the technology, called CRISPR-Cas9, which is driving a new interest in gene therapy, or “genome engineering.” She and colleagues co-authored a perspective piece that appears in the March 20 issue of Science, based on discussions at a meeting that took place in Napa on Jan. 24. The same issue of Science features a collection of recent research papers, commentary and news articles on CRISPR and its implications.    …..

A prudent path forward for genomic engineering and germline gene modification

David Baltimore1,  Paul Berg2, …., Jennifer A. Doudna4,10,*, et al.
http://science.sciencemag.org/content/early/2015/03/18/science.aab1028.full
Science  19 Mar 2015.  http://dx.doi.org:/10.1126/science.aab1028

 

Correcting genetic defects

Scientists today are changing DNA sequences to correct genetic defects in animals as well as cultured tissues generated from stem cells, strategies that could eventually be used to treat human disease. The technology can also be used to engineer animals with genetic diseases mimicking human disease, which could lead to new insights into previously enigmatic disorders.

The CRISPR-Cas9 tool is still being refined to ensure that genetic changes are precisely targeted, Doudna said. Nevertheless, the authors met “… to initiate an informed discussion of the uses of genome engineering technology, and to identify proactively those areas where current action is essential to prepare for future developments. We recommend taking immediate steps toward ensuring that the application of genome engineering technology is performed safely and ethically.”

 

Amyloid CRISPR Plasmids and si/shRNA Gene Silencers

http://www.scbt.com/crispr/table-amyloid.html

Santa Cruz Biotechnology, Inc. offers a broad range of gene silencers in the form of siRNAs, shRNA Plasmids and shRNA Lentiviral Particles as well as CRISPR/Cas9 Knockout and CRISPR Double Nickase plasmids. Amyloid gene silencers are available as Amyloid siRNA, Amyloid shRNA Plasmid, Amyloid shRNA Lentiviral Particles and Amyloid CRISPR/Cas9 Knockout plasmids. Amyloid CRISPR/dCas9 Activation Plasmids and CRISPR Lenti Activation Systems for gene activation are also available. Gene silencers and activators are useful for gene studies in combination with antibodies used for protein detection.    Amyloid CRISPR Knockout, HDR and Nickase Knockout Plasmids

 

CRISPR-Cas9-Based Knockout of the Prion Protein and Its Effect on the Proteome


Mehrabian M, Brethour D, MacIsaac S, Kim JK, Gunawardana C.G, Wang H, et al.
PLoS ONE 2014; 9(12): e114594. http://dx.doi.org/10.1371/journal.pone.0114594

The molecular function of the cellular prion protein (PrPC) and the mechanism by which it may contribute to neurotoxicity in prion diseases and Alzheimer’s disease are only partially understood. Mouse neuroblastoma Neuro2a cells and, more recently, C2C12 myocytes and myotubes have emerged as popular models for investigating the cellular biology of PrP. Mouse epithelial NMuMG cells might become attractive models for studying the possible involvement of PrP in a morphogenetic program underlying epithelial-to-mesenchymal transitions. Here we describe the generation of PrP knockout clones from these cell lines using CRISPR-Cas9 knockout technology. More specifically, knockout clones were generated with two separate guide RNAs targeting recognition sites on opposite strands within the first hundred nucleotides of the Prnp coding sequence. Several PrP knockout clones were isolated and genomic insertions and deletions near the CRISPR-target sites were characterized. Subsequently, deep quantitative global proteome analyses that recorded the relative abundance of>3000 proteins (data deposited to ProteomeXchange Consortium) were undertaken to begin to characterize the molecular consequences of PrP deficiency. The levels of ∼120 proteins were shown to reproducibly correlate with the presence or absence of PrP, with most of these proteins belonging to extracellular components, cell junctions or the cytoskeleton.

http://journals.plos.org/plosone/article/figure/image?size=inline&id=info:doi/10.1371/journal.pone.0114594.g001

http://journals.plos.org/plosone/article/figure/image?size=inline&id=info:doi/10.1371/journal.pone.0114594.g003

 

Development and Applications of CRISPR-Cas9 for Genome Engineering

Patrick D. Hsu,1,2,3 Eric S. Lander,1 and Feng Zhang1,2,*
Cell. 2014 Jun 5; 157(6): 1262–1278.   doi:  10.1016/j.cell.2014.05.010

Recent advances in genome engineering technologies based on the CRISPR-associated RNA-guided endonuclease Cas9 are enabling the systematic interrogation of mammalian genome function. Analogous to the search function in modern word processors, Cas9 can be guided to specific locations within complex genomes by a short RNA search string. Using this system, DNA sequences within the endogenous genome and their functional outputs are now easily edited or modulated in virtually any organism of choice. Cas9-mediated genetic perturbation is simple and scalable, empowering researchers to elucidate the functional organization of the genome at the systems level and establish causal linkages between genetic variations and biological phenotypes. In this Review, we describe the development and applications of Cas9 for a variety of research or translational applications while highlighting challenges as well as future directions. Derived from a remarkable microbial defense system, Cas9 is driving innovative applications from basic biology to biotechnology and medicine.

The development of recombinant DNA technology in the 1970s marked the beginning of a new era for biology. For the first time, molecular biologists gained the ability to manipulate DNA molecules, making it possible to study genes and harness them to develop novel medicine and biotechnology. Recent advances in genome engineering technologies are sparking a new revolution in biological research. Rather than studying DNA taken out of the context of the genome, researchers can now directly edit or modulate the function of DNA sequences in their endogenous context in virtually any organism of choice, enabling them to elucidate the functional organization of the genome at the systems level, as well as identify causal genetic variations.

Broadly speaking, genome engineering refers to the process of making targeted modifications to the genome, its contexts (e.g., epigenetic marks), or its outputs (e.g., transcripts). The ability to do so easily and efficiently in eukaryotic and especially mammalian cells holds immense promise to transform basic science, biotechnology, and medicine (Figure 1).

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4343198/bin/nihms659174f1.jpg

For life sciences research, technologies that can delete, insert, and modify the DNA sequences of cells or organisms enable dissecting the function of specific genes and regulatory elements. Multiplexed editing could further allow the interrogation of gene or protein networks at a larger scale. Similarly, manipulating transcriptional regulation or chromatin states at particular loci can reveal how genetic material is organized and utilized within a cell, illuminating relationships between the architecture of the genome and its functions. In biotechnology, precise manipulation of genetic building blocks and regulatory machinery also facilitates the reverse engineering or reconstruction of useful biological systems, for example, by enhancing biofuel production pathways in industrially relevant organisms or by creating infection-resistant crops. Additionally, genome engineering is stimulating a new generation of drug development processes and medical therapeutics. Perturbation of multiple genes simultaneously could model the additive effects that underlie complex polygenic disorders, leading to new drug targets, while genome editing could directly correct harmful mutations in the context of human gene therapy (Tebas et al., 2014).

Eukaryotic genomes contain billions of DNA bases and are difficult to manipulate. One of the breakthroughs in genome manipulation has been the development of gene targeting by homologous recombination (HR), which integrates exogenous repair templates that contain sequence homology to the donor site (Figure 2A) (Capecchi, 1989). HR-mediated targeting has facilitated the generation of knockin and knockout animal models via manipulation of germline competent stem cells, dramatically advancing many areas of biological research. However, although HR-mediated gene targeting produces highly precise alterations, the desired recombination events occur extremely infrequently (1 in 106–109 cells) (Capecchi, 1989), presenting enormous challenges for large-scale applications of gene-targeting experiments.

Genome Editing Technologies Exploit Endogenous DNA Repair Machinery

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4343198/bin/nihms659174f2.gif

To overcome these challenges, a series of programmable nuclease-based genome editing technologies have been developed in recent years, enabling targeted and efficient modification of a variety of eukaryotic and particularly mammalian species. Of the current generation of genome editing technologies, the most rapidly developing is the class of RNA-guided endonucleases known as Cas9 from the microbial adaptive immune system CRISPR (clustered regularly interspaced short palindromic repeats), which can be easily targeted to virtually any genomic location of choice by a short RNA guide. Here, we review the development and applications of the CRISPR-associated endonuclease Cas9 as a platform technology for achieving targeted perturbation of endogenous genomic elements and also discuss challenges and future avenues for innovation.   ……

Figure 4   Natural Mechanisms of Microbial CRISPR Systems in Adaptive Immunity

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4343198/bin/nihms659174f4.gif

……  A key turning point came in 2005, when systematic analysis of the spacer sequences separating the individual direct repeats suggested their extrachromosomal and phage-associated origins (Mojica et al., 2005; Pourcel et al., 2005; Bolotin et al., 2005). This insight was tremendously exciting, especially given previous studies showing that CRISPR loci are transcribed (Tang et al., 2002) and that viruses are unable to infect archaeal cells carrying spacers corresponding to their own genomes (Mojica et al., 2005). Together, these findings led to the speculation that CRISPR arrays serve as an immune memory and defense mechanism, and individual spacers facilitate defense against bacteriophage infection by exploiting Watson-Crick base-pairing between nucleic acids (Mojica et al., 2005; Pourcel et al., 2005). Despite these compelling realizations that CRISPR loci might be involved in microbial immunity, the specific mechanism of how the spacers act to mediate viral defense remained a challenging puzzle. Several hypotheses were raised, including thoughts that CRISPR spacers act as small RNA guides to degrade viral transcripts in a RNAi-like mechanism (Makarova et al., 2006) or that CRISPR spacers direct Cas enzymes to cleave viral DNA at spacer-matching regions (Bolotin et al., 2005).   …..

As the pace of CRISPR research accelerated, researchers quickly unraveled many details of each type of CRISPR system (Figure 4). Building on an earlier speculation that protospacer adjacent motifs (PAMs) may direct the type II Cas9 nuclease to cleave DNA (Bolotin et al., 2005), Moineau and colleagues highlighted the importance of PAM sequences by demonstrating that PAM mutations in phage genomes circumvented CRISPR interference (Deveau et al., 2008). Additionally, for types I and II, the lack of PAM within the direct repeat sequence within the CRISPR array prevents self-targeting by the CRISPR system. In type III systems, however, mismatches between the 5′ end of the crRNA and the DNA target are required for plasmid interference (Marraffini and Sontheimer, 2010).  …..

In 2013, a pair of studies simultaneously showed how to successfully engineer type II CRISPR systems from Streptococcus thermophilus (Cong et al., 2013) andStreptococcus pyogenes (Cong et al., 2013; Mali et al., 2013a) to accomplish genome editing in mammalian cells. Heterologous expression of mature crRNA-tracrRNA hybrids (Cong et al., 2013) as well as sgRNAs (Cong et al., 2013; Mali et al., 2013a) directs Cas9 cleavage within the mammalian cellular genome to stimulate NHEJ or HDR-mediated genome editing. Multiple guide RNAs can also be used to target several genes at once. Since these initial studies, Cas9 has been used by thousands of laboratories for genome editing applications in a variety of experimental model systems (Sander and Joung, 2014). ……

The majority of CRISPR-based technology development has focused on the signature Cas9 nuclease from type II CRISPR systems. However, there remains a wide diversity of CRISPR types and functions. Cas RAMP module (Cmr) proteins identified in Pyrococcus furiosus and Sulfolobus solfataricus (Hale et al., 2012) constitute an RNA-targeting CRISPR immune system, forming a complex guided by small CRISPR RNAs that target and cleave complementary RNA instead of DNA. Cmr protein homologs can be found throughout bacteria and archaea, typically relying on a 5′ site tag sequence on the target-matching crRNA for Cmr-directed cleavage.

Unlike RNAi, which is targeted largely by a 6 nt seed region and to a lesser extent 13 other bases, Cmr crRNAs contain 30–40 nt of target complementarity. Cmr-CRISPR technologies for RNA targeting are thus a promising target for orthogonal engineering and minimal off-target modification. Although the modularity of Cmr systems for RNA-targeting in mammalian cells remains to be investigated, Cmr complexes native to P. furiosus have already been engineered to target novel RNA substrates (Hale et al., 2009, 2012).   ……

Although Cas9 has already been widely used as a research tool, a particularly exciting future direction is the development of Cas9 as a therapeutic technology for treating genetic disorders. For a monogenic recessive disorder due to loss-of-function mutations (such as cystic fibrosis, sickle-cell anemia, or Duchenne muscular dystrophy), Cas9 may be used to correct the causative mutation. This has many advantages over traditional methods of gene augmentation that deliver functional genetic copies via viral vector-mediated overexpression—particularly that the newly functional gene is expressed in its natural context. For dominant-negative disorders in which the affected gene is haplosufficient (such as transthyretin-related hereditary amyloidosis or dominant forms of retinitis pigmentosum), it may also be possible to use NHEJ to inactivate the mutated allele to achieve therapeutic benefit. For allele-specific targeting, one could design guide RNAs capable of distinguishing between single-nucleotide polymorphism (SNP) variations in the target gene, such as when the SNP falls within the PAM sequence.

 

 

CRISPR/Cas9: a powerful genetic engineering tool for establishing large animal models of neurodegenerative diseases

Zhuchi Tu, Weili Yang, Sen Yan, Xiangyu Guo and Xiao-Jiang Li

Molecular Neurodegeneration 2015; 10:35  http://dx.doi.org:/10.1186/s13024-015-0031-x

Animal models are extremely valuable to help us understand the pathogenesis of neurodegenerative disorders and to find treatments for them. Since large animals are more like humans than rodents, they make good models to identify the important pathological events that may be seen in humans but not in small animals; large animals are also very important for validating effective treatments or confirming therapeutic targets. Due to the lack of embryonic stem cell lines from large animals, it has been difficult to use traditional gene targeting technology to establish large animal models of neurodegenerative diseases. Recently, CRISPR/Cas9 was used successfully to genetically modify genomes in various species. Here we discuss the use of CRISPR/Cas9 technology to establish large animal models that can more faithfully mimic human neurodegenerative diseases.

Neurodegenerative diseases — Alzheimer’s disease(AD),Parkinson’s disease(PD), amyotrophic lateral sclerosis (ALS), Huntington’s disease (HD), and frontotemporal dementia (FTD) — are characterized by age-dependent and selective neurodegeneration. As the life expectancy of humans lengthens, there is a greater prevalence of these neurodegenerative diseases; however, the pathogenesis of most of these neurodegenerative diseases remain unclear, and we lack effective treatments for these important brain disorders.

CRISPR/Cas9,  Non-human primates,  Neurodegenerative diseases,  Animal model

There are a number of excellent reviews covering different types of neurodegenerative diseases and their genetic mouse models [8–12]. Investigations of different mouse models of neurodegenerative diseases have revealed a common pathology shared by these diseases. First, the development of neuropathology and neurological symptoms in genetic mouse models of neurodegenerative diseases is age dependent and progressive. Second, all the mouse models show an accumulation of misfolded or aggregated proteins resulting from the expression of mutant genes. Third, despite the widespread expression of mutant proteins throughout the body and brain, neuronal function appears to be selectively or preferentially affected. All these facts indicate that mouse models of neurodegenerative diseases recapitulate important pathologic features also seen in patients with neurodegenerative diseases.

However, it seems that mouse models can not recapitulate the full range of neuropathology seen in patients with neurodegenerative diseases. Overt neurodegeneration, which is the most important pathological feature in patient brains, is absent in genetic rodent models of AD, PD, and HD. Many rodent models that express transgenic mutant proteins under the control of different promoters do not replicate overt neurodegeneration, which is likely due to their short life spans and the different aging processes of small animals. Also important are the remarkable differences in brain development between rodents and primates. For example, the mouse brain takes 21 days to fully develop, whereas the formation of primate brains requires more than 150 days [13]. The rapid development of the brain in rodents may render neuronal cells resistant to misfolded protein-mediated neurodegeneration. Another difficulty in using rodent models is how to analyze cognitive and emotional abnormalities, which are the early symptoms of most neurodegenerative diseases in humans. Differences in neuronal circuitry, anatomy, and physiology between rodent and primate brains may also account for the behavioral differences between rodent and primate models.

 

Mitochondrial dynamics–fusion, fission, movement, and mitophagy–in neurodegenerative diseases

Hsiuchen Chen and David C. Chan
Human Molec Gen 2009; 18, Review Issue 2 R169–R176
http://dx.doi.org:/10.1093/hmg/ddp326

Neurons are metabolically active cells with high energy demands at locations distant from the cell body. As a result, these cells are particularly dependent on mitochondrial function, as reflected by the observation that diseases of mitochondrial dysfunction often have a neurodegenerative component. Recent discoveries have highlighted that neurons are reliant particularly on the dynamic properties of mitochondria. Mitochondria are dynamic organelles by several criteria. They engage in repeated cycles of fusion and fission, which serve to intermix the lipids and contents of a population of mitochondria. In addition, mitochondria are actively recruited to subcellular sites, such as the axonal and dendritic processes of neurons. Finally, the quality of a mitochondrial population is maintained through mitophagy, a form of autophagy in which defective mitochondria are selectively degraded. We review the general features of mitochondrial dynamics, incorporating recent findings on mitochondrial fusion, fission, transport and mitophagy. Defects in these key features are associated with neurodegenerative disease. Charcot-Marie-Tooth type 2A, a peripheral neuropathy, and dominant optic atrophy, an inherited optic neuropathy, result from a primary deficiency of mitochondrial fusion. Moreover, several major neurodegenerative diseases—including Parkinson’s, Alzheimer’s and Huntington’s disease—involve disruption of mitochondrial dynamics. Remarkably, in several disease models, the manipulation of mitochondrial fusion or fission can partially rescue disease phenotypes. We review how mitochondrial dynamics is altered in these neurodegenerative diseases and discuss the reciprocal interactions between mitochondrial fusion, fission, transport and mitophagy.

 

Applications of CRISPR–Cas systems in Neuroscience

Matthias Heidenreich  & Feng Zhang
Nature Rev Neurosci 2016; 17:36–44   http://dx.doi.org:/10.1038/nrn.2015.2

Genome-editing tools, and in particular those based on CRISPR–Cas (clustered regularly interspaced short palindromic repeat (CRISPR)–CRISPR-associated protein) systems, are accelerating the pace of biological research and enabling targeted genetic interrogation in almost any organism and cell type. These tools have opened the door to the development of new model systems for studying the complexity of the nervous system, including animal models and stem cell-derived in vitro models. Precise and efficient gene editing using CRISPR–Cas systems has the potential to advance both basic and translational neuroscience research.
Cellular neuroscience
, DNA recombination, Genetic engineering, Molecular neuroscience

Figure 3: In vitro applications of Cas9 in human iPSCs.close

http://www.nature.com/nrn/journal/v17/n1/carousel/nrn.2015.2-f3.jpg

a | Evaluation of disease candidate genes from large-population genome-wide association studies (GWASs). Human primary cells, such as neurons, are not easily available and are difficult to expand in culture. By contrast, induced pluripo…

  1. Genome-editing Technologies for Gene and Cell Therapy

Molecular Therapy 12 Jan 2016

  1. Systematic quantification of HDR and NHEJ reveals effects of locus, nuclease, and cell type on genome-editing

Scientific Reports 31 Mar 2016

  1. Controlled delivery of β-globin-targeting TALENs and CRISPR/Cas9 into mammalian cells for genome editing using microinjection

Scientific Reports 12 Nov 2015

 

Alzheimer’s Disease: Medicine’s Greatest Challenge in the 21st Century

https://www.physicsforums.com/insights/can-gene-editing-eliminate-alzheimers-disease/

The development of the CRISPR/Cas9 system has made gene editing a relatively simple task.  While CRISPR and other gene editing technologies stand to revolutionize biomedical research and offers many promising therapeutic avenues (such as in the treatment of HIV), a great deal of debate exists over whether CRISPR should be used to modify human embryos. As I discussed in my previous Insight article, we lack enough fundamental biological knowledge to enhance many traits like height or intelligence, so we are not near a future with genetically-enhanced super babies. However, scientists have identified a few rare genetic variants that protect against disease.  One such protective variant is a mutation in the APP gene that protects against Alzheimer’s disease and cognitive decline in old age. If we can perfect gene editing technologies, is this mutation one that we should be regularly introducing into embryos? In this article, I explore the potential for using gene editing as a way to prevent Alzheimer’s disease in future generations. Alzheimer’s Disease: Medicine’s Greatest Challenge in the 21st Century Can gene editing be the missing piece in the battle against Alzheimer’s? (Source: bostonbiotech.org) I chose to assess the benefit of germline gene editing in the context of Alzheimer’s disease because this disease is one of the biggest challenges medicine faces in the 21st century. Alzheimer’s disease is a chronic neurodegenerative disease responsible for the majority of the cases of dementia in the elderly. The disease symptoms begins with short term memory loss and causes more severe symptoms – problems with language, disorientation, mood swings, behavioral issues – as it progresses, eventually leading to the loss of bodily functions and death. Because of the dementia the disease causes, Alzheimer’s patients require a great deal of care, and the world spends ~1% of its total GDP on caring for those with Alzheimer’s and related disorders. Because the prevalence of the disease increases with age, the situation will worsen as life expectancies around the globe increase: worldwide cases of Alzheimer’s are expected to grow from 35 million today to over 115 million by 2050.

Despite much research, the exact causes of Alzheimer’s disease remains poorly understood. The disease seems to be related to the accumulation of plaques made of amyloid-β peptides that form on the outside of neurons, as well as the formation of tangles of the protein tau inside of neurons. Although many efforts have been made to target amyloid-β or the enzymes involved in its formation, we have so far been unsuccessful at finding any treatment that stops the disease or reverses its progress. Some researchers believe that most attempts at treating Alzheimer’s have failed because, by the time a patient shows symptoms, the disease has already progressed past the point of no return.

While research towards a cure continues, researchers have sought effective ways to prevent Alzheimer’s disease. Although some studies show that mental and physical exercise may lower ones risk of Alzheimer’s disease, approximately 60-80% of the risk for Alzheimer’s disease appears to be genetic. Thus, if we’re serious about prevention, we may have to act at the genetic level. And because the brain is difficult to access surgically for gene therapy in adults, this means using gene editing on embryos.

Reference https://www.physicsforums.com/insights/can-gene-editing-eliminate-alzheimers-disease/

 

Utilising CRISPR to Generate Predictive Disease Models: a Case Study in Neurodegenerative Disorders


Dr. Bhuvaneish.T. Selvaraj  – Scottish Centre for Regenerative Medicine

http://www.crisprsummit.com/utilising-crispr-to-generate-predictive-disease-models-a-case-study-in-neurodegenerative-disorders

  • Introducing the latest developments in predictive model generation
  • Discover how CRISPR is being used to develop disease models to study and treat neurodegenerative disorders
  • In depth Q&A session to answer your most pressing questions

 

Turning On Genes, Systematically, with CRISPR/Cas9

http://www.genengnews.com/gen-news-highlights/turning-on-genes-systematically-with-crispr-cas9/81250697/

 

Scientists based at MIT assert that they can reliably turn on any gene of their choosing in living cells. [Feng Zhang and Steve Dixon]  http://www.genengnews.com/media/images/GENHighlight/Dec12_2014_CRISPRCas9GeneActivationSystem7838101231.jpg

With the latest CRISPR/Cas9 advance, the exhortation “turn on, tune in, drop out” comes to mind. The CRISPR/Cas9 gene-editing system was already a well-known means of “tuning in” (inserting new genes) and “dropping out” (knocking out genes). But when it came to “turning on” genes, CRISPR/Cas9 had little potency. That is, it had demonstrated only limited success as a way to activate specific genes.

A new CRISPR/Cas9 approach, however, appears capable of activating genes more effectively than older approaches. The new approach may allow scientists to more easily determine the function of individual genes, according to Feng Zhang, Ph.D., a researcher at MIT and the Broad Institute. Dr. Zhang and colleagues report that the new approach permits multiplexed gene activation and rapid, large-scale studies of gene function.

The new technique was introduced in the December 10 online edition of Nature, in an article entitled, “Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex.” The article describes how Dr. Zhang, along with the University of Tokyo’s Osamu Nureki, Ph.D., and Hiroshi Nishimasu, Ph.D., overhauled the CRISPR/Cas9 system. The research team based their work on their analysis (published earlier this year) of the structure formed when Cas9 binds to the guide RNA and its target DNA. Specifically, the team used the structure’s 3D shape to rationally improve the system.

In previous efforts to revamp CRISPR/Cas9 for gene activation purposes, scientists had tried to attach the activation domains to either end of the Cas9 protein, with limited success. From their structural studies, the MIT team realized that two small loops of the RNA guide poke out from the Cas9 complex and could be better points of attachment because they allow the activation domains to have more flexibility in recruiting transcription machinery.

Using their revamped system, the researchers activated about a dozen genes that had proven difficult or impossible to turn on using the previous generation of Cas9 activators. Each gene showed at least a twofold boost in transcription, and for many genes, the researchers found multiple orders of magnitude increase in activation.

After investigating single-guide RNA targeting rules for effective transcriptional activation, demonstrating multiplexed activation of 10 genes simultaneously, and upregulating long intergenic noncoding RNA transcripts, the research team decided to undertake a large-scale screen. This screen was designed to identify genes that confer resistance to a melanoma drug called PLX-4720.

“We … synthesized a library consisting of 70,290 guides targeting all human RefSeq coding isoforms to screen for genes that, upon activation, confer resistance to a BRAF inhibitor,” wrote the authors of the Nature paper. “The top hits included genes previously shown to be able to confer resistance, and novel candidates were validated using individual [single-guide RNA] and complementary DNA overexpression.”

A gene signature based on the top screening hits, the authors added, correlated with a gene expression signature of BRAF inhibitor resistance in cell lines and patient-derived samples. It was also suggested that large-scale screens such as the one demonstrated in the current study could help researchers discover new cancer drugs that prevent tumors from becoming resistant.

More at –  http://www.genengnews.com/gen-news-highlights/turning-on-genes-systematically-with-crispr-cas9/81250697/

 

Susceptibility and modifier genes in Portuguese transthyretin V30M amyloid polyneuropathy: complexity in a single-gene disease
Miguel L. Soares1,2, Teresa Coelho3,6, Alda Sousa4,5, …, Maria Joa˜o Saraiva2,5 and Joel N. Buxbaum1
Human Molec Gen 2005; 14(4): 543–553   http://dx.doi.org:/10.1093/hmg/ddi051
https://www.researchgate.net/profile/Isabel_Conceicao/publication/8081351_Susceptibility_and_modifier_genes_in_Portuguese_transthyretin_V30M_amyloid_polyneuropathy_complexity_in_a_single-gene_disease/links/53e123d70cf2235f352733b3.pdf

Familial amyloid polyneuropathy type I is an autosomal dominant disorder caused by mutations in the transthyretin (TTR ) gene; however, carriers of the same mutation exhibit variability in penetrance and clinical expression. We analyzed alleles of candidate genes encoding non-fibrillar components of TTR amyloid deposits and a molecule metabolically interacting with TTR [retinol-binding protein (RBP)], for possible associations with age of disease onset and/or susceptibility in a Portuguese population sample with the TTR V30M mutation and unrelated controls. We show that the V30M carriers represent a distinct subset of the Portuguese population. Estimates of genetic distance indicated that the controls and the classical onset group were furthest apart, whereas the late-onset group appeared to differ from both. Importantly, the data also indicate that genetic interactions among the multiple loci evaluated, rather than single-locus effects, are more likely to determine differences in the age of disease onset. Multifactor dimensionality reduction indicated that the best genetic model for classical onset group versus controls involved the APCS gene, whereas for late-onset cases, one APCS variant (APCSv1) and two RBP variants (RBPv1 and RBPv2) are involved. Thus, although the TTR V30M mutation is required for the disease in Portuguese patients, different genetic factors may govern the age of onset, as well as the occurrence of anticipation.

Autosomal dominant disorders may vary in expression even within a given kindred. The basis of this variability is uncertain and can be attributed to epigenetic factors, environment or epistasis. We have studied familial amyloid polyneuropathy (FAP), an autosomal dominant disorder characterized by peripheral sensorimotor and autonomic neuropathy. It exhibits variation in cardiac, renal, gastrointestinal and ocular involvement, as well as age of onset. Over 80 missense mutations in the transthyretin gene (TTR ) result in autosomal dominant disease http://www.ibmc.up.pt/~mjsaraiv/ttrmut.html). The presence of deposits consisting entirely of wild-type TTR molecules in the hearts of 10– 25% of individuals over age 80 reveals its inherent in vivo amyloidogenic potential (1).

FAP was initially described in Portuguese (2) where, until recently, the TTR V30M has been the only pathogenic mutation associated with the disease (3,4). Later reports identified the same mutation in Swedish and Japanese families (5,6). The disorder has since been recognized in other European countries and in North American kindreds in association with V30M, as well as other mutations (7).

TTR V30M produces disease in only 5–10% of Swedish carriers of the allele (8), a much lower degree of penetrance than that seen in Portuguese (80%) (9) or in Japanese with the same mutation. The actual penetrance in Japanese carriers has not been formally established, but appears to resemble that seen in Portuguese. Portuguese and Japanese carriers show considerable variation in the age of clinical onset (10,11). In both populations, the first symptoms had originally been described as typically occurring before age 40 (so-called ‘classical’ or early-onset); however, in recent years, more individuals developing symptoms late in life have been identified (11,12). Hence, present data indicate that the distribution of the age of onset in Portuguese is continuous, but asymmetric with a mean around age 35 and a long tail into the older age group (Fig. 1) (9,13). Further, DNA testing in Portugal has identified asymptomatic carriers over age 70 belonging to a subset of very late-onset kindreds in whose descendants genetic anticipation is frequent. The molecular basis of anticipation in FAP, which is not mediated by trinucleotide repeat expansions in the TTR or any other gene (14), remains elusive.

Variation in penetrance, age of onset and clinical features are hallmarks of many autosomal dominant disorders including the human TTR amyloidoses (7). Some of these clearly reflect specific biological effects of a particular mutation or a class of mutants. However, when such phenotypic variability is seen with a single mutation in the gene encoding the same protein, it suggests an effect of modifying genetic loci and/or environmental factors contributing differentially to the course of disease. We have chosen to examine age of onset as an example of a discrete phenotypic variation in the presence of the particular autosomal dominant disease-associated mutation TTR V30M. Although the role of environmental factors cannot be excluded, the existence of modifier genes involved in TTR amyloidogenesis is an attractive hypothesis to explain the phenotypic variability in FAP. ….

ATTR (TTR amyloid), like all amyloid deposits, contains several molecular components, in addition to the quantitatively dominant fibril-forming amyloid protein, including heparan sulfate proteoglycan 2 (HSPG2 or perlecan), SAP, a plasma glycoprotein of the pentraxin family (encoded by the APCS gene) that undergoes specific calcium-dependent binding to all types of amyloid fibrils, and apolipoprotein E (ApoE), also found in all amyloid deposits (15). The ApoE4 isoform is associated with an increased frequency and earlier onset of Alzheimer’s disease (Ab), the most common form of brain amyloid, whereas the ApoE2 isoform appears to be protective (16). ApoE variants could exert a similar modulatory effect in the onset of FAP, although early studies on a limited number of patients suggested this was not the case (17).

In at least one instance of senile systemic amyloidosis, small amounts of AA-related material were found in TTR deposits (18). These could reflect either a passive co-aggregation or a contributory involvement of protein AA, encoded by the serum amyloid A (SAA ) genes and the main component of secondary (reactive) amyloid fibrils, in the formation of ATTR.

Retinol-binding protein (RBP), the serum carrier of vitamin A, circulates in plasma bound to TTR. Vitamin A-loaded RBP and L-thyroxine, the two natural ligands of TTR, can act alone or synergistically to inhibit the rate and extent of TTR fibrillogenesis in vitro, suggesting that RBP may influence the course of FAP pathology in vivo (19). We have analyzed coding and non-coding sequence polymorphisms in the RBP4 (serum RBP, 10q24), HSPG2 (1p36.1), APCS (1q22), APOE (19q13.2), SAA1 and SAA2 (11p15.1) genes with the goal of identifying chromosomes carrying common and functionally significant variants. At the time these studies were performed, the full human genome sequence was not completed and systematic singlenucleotide polymorphism (SNP) analyses were not available for any of the suspected candidate genes. We identified new SNPs in APCS and RBP4 and utilized polymorphisms in SAA, HSPG2 and APOE that had already been characterized and shown to have potential pathophysiologic significance in other disorders (16,20–22). The genotyping data were analyzed for association with the presence of the V30M amyloidogenic allele (FAP patients versus controls) and with the age of onset (classical- versus late-onset patients). Multilocus analyses were also performed to examine the effects of simultaneous contributions of the six loci for determining the onset of the first symptoms.  …..

The potential for different underlying models for classical and late onset is supported by the MDR analysis, which produces two distinct models when comparing each class with the controls. One could view the two onset classes as unique diseases. If this is the case, then the failure to detect a single predictive genetic model is consistent with two related, but different, diseases. This is exactly what would be expected in such a case of genetic heterogeneity (28). Using this approach, a major gene effect can be viewed as a necessary, but not sufficient, condition to explain the course of the disease. Analyzing the cases but omitting from the analysis of phenotype the necessary allele, in this case TTR V30M, can then reveal a variety of important modifiers that are distinct between the phenotypes.

The significant comparisons obtained in our study cohort indicate that the combined effects mainly result from two and three-locus interactions involving all loci except SAA1 and SAA2 for susceptibility to disease. A considerable number of four-site combinations modulate the age of onset with SAA1 appearing in a majority of significant combinations in late-onset disease, perhaps indicating a greater role of the SAA variants in the age of onset of FAP.

The correlation between genotype and phenotype in socalled simple Mendelian disorders is often incomplete, as only a subset of all mutations can reliably predict specific phenotypes (34). This is because non-allelic genetic variations and/or environmental influences underlie these disorders whose phenotypes behave as complex traits. A few examples include the identification of the role of homozygozity for the SAA1.1 allele in conferring the genetic susceptibility to renal amyloidosis in FMF (20) and the association of an insertion/deletion polymorphism in the ACE gene with disease severity in familial hypertrophic cardiomyopathy (35). In these disorders, the phenotypes arise from mutations in MEFV and b-MHC, but are modulated by independently inherited genetic variation. In this report, we show that interactions among multiple genes, whose products are confirmed or putative constituents of ATTR deposits, or metabolically interact with TTR, modulate the onset of the first symptoms and predispose individuals to disease in the presence of the V30M mutation in TTR. The exact nature of the effects identified here requires further study with potential application in the development of genetic screening with prognostic value pertaining to the onset of disease in the TTR V30M carriers.

If the effects of additional single or interacting genes dictate the heterogeneity of phenotype, as reflected in variability of onset and clinical expression (with the same TTR mutation), the products encoded by alleles at such loci could contribute to the process of wild-type TTR deposition in elderly individuals without a mutation (senile systemic amyloidosis), a phenomenon not readily recognized as having a genetic basis because of the insensitivity of family history in the elderly.

 

Safety and Efficacy of RNAi Therapy for Transthyretin Amyloidosis

Coelho T, Adams D, Silva A, et al.
N Engl J Med 2013;369:819-29.    http://dx.doi.org:/10.1056/NEJMoa1208760

Transthyretin amyloidosis is caused by the deposition of hepatocyte-derived transthyretin amyloid in peripheral nerves and the heart. A therapeutic approach mediated by RNA interference (RNAi) could reduce the production of transthyretin.

Methods We identified a potent antitransthyretin small interfering RNA, which was encapsulated in two distinct first- and second-generation formulations of lipid nanoparticles, generating ALN-TTR01 and ALN-TTR02, respectively. Each formulation was studied in a single-dose, placebo-controlled phase 1 trial to assess safety and effect on transthyretin levels. We first evaluated ALN-TTR01 (at doses of 0.01 to 1.0 mg per kilogram of body weight) in 32 patients with transthyretin amyloidosis and then evaluated ALN-TTR02 (at doses of 0.01 to 0.5 mg per kilogram) in 17 healthy volunteers.

Results Rapid, dose-dependent, and durable lowering of transthyretin levels was observed in the two trials. At a dose of 1.0 mg per kilogram, ALN-TTR01 suppressed transthyretin, with a mean reduction at day 7 of 38%, as compared with placebo (P=0.01); levels of mutant and nonmutant forms of transthyretin were lowered to a similar extent. For ALN-TTR02, the mean reductions in transthyretin levels at doses of 0.15 to 0.3 mg per kilogram ranged from 82.3 to 86.8%, with reductions of 56.6 to 67.1% at 28 days (P<0.001 for all comparisons). These reductions were shown to be RNAi mediated. Mild-to-moderate infusion-related reactions occurred in 20.8% and 7.7% of participants receiving ALN-TTR01 and ALN-TTR02, respectively.

ALN-TTR01 and ALN-TTR02 suppressed the production of both mutant and nonmutant forms of transthyretin, establishing proof of concept for RNAi therapy targeting messenger RNA transcribed from a disease-causing gene.

 

Alnylam May Seek Approval for TTR Amyloidosis Rx in 2017 as Other Programs Advance


https://www.genomeweb.com/rnai/alnylam-may-seek-approval-ttr-amyloidosis-rx-2017-other-programs-advance

Officials from Alnylam Pharmaceuticals last week provided updates on the two drug candidates from the company’s flagship transthyretin-mediated amyloidosis program, stating that the intravenously delivered agent patisiran is proceeding toward a possible market approval in three years, while a subcutaneously administered version called ALN-TTRsc is poised to enter Phase III testing before the end of the year.

Meanwhile, Alnylam is set to advance a handful of preclinical therapies into human studies in short order, including ones for complement-mediated diseases, hypercholesterolemia, and porphyria.

The officials made their comments during a conference call held to discuss Alnylam’s second-quarter financial results.

ATTR is caused by a mutation in the TTR gene, which normally produces a protein that acts as a carrier for retinol binding protein and is characterized by the accumulation of amyloid deposits in various tissues. Alnylam’s drugs are designed to silence both the mutant and wild-type forms of TTR.

Patisiran, which is delivered using lipid nanoparticles developed by Tekmira Pharmaceuticals, is currently in a Phase III study in patients with a form of ATTR called familial amyloid polyneuropathy (FAP) affecting the peripheral nervous system. Running at over 20 sites in nine countries, that study is set to enroll up to 200 patients and compare treatment to placebo based on improvements in neuropathy symptoms.

According to Alnylam Chief Medical Officer Akshay Vaishnaw, Alnylam expects to have final data from the study in two to three years, which would put patisiran on track for a new drug application filing in 2017.

Meanwhile, ALN-TTRsc, which is under development for a version of ATTR that affects cardiac tissue called familial amyloidotic cardiomyopathy (FAC) and uses Alnylam’s proprietary GalNAc conjugate delivery technology, is set to enter Phase III by year-end as Alnylam holds “active discussions” with US and European regulators on the design of that study, CEO John Maraganore noted during the call.

In the interim, Alnylam continues to enroll patients in a pilot Phase II study of ALN-TTRsc, which is designed to test the drug’s efficacy for FAC or senile systemic amyloidosis (SSA), a condition caused by the idiopathic accumulation of wild-type TTR protein in the heart.

Based on “encouraging” data thus far, Vaishnaw said that Alnylam has upped the expected enrollment in this study to 25 patients from 15. Available data from the trial is slated for release in November, he noted, stressing that “any clinical endpoint result needs to be considered exploratory given the small sample size and the very limited duration of treatment of only six weeks” in the trial.

Vaishnaw added that an open-label extension (OLE) study for patients in the ALN-TTRsc study will kick off in the coming weeks, allowing the company to gather long-term dosing tolerability and clinical activity data on the drug.

Enrollment in an OLE study of patisiran has been completed with 27 patients, he said, and, “as of today, with up to nine months of therapy … there have been no study drug discontinuations.” Clinical endpoint data from approximately 20 patients in this study will be presented at the American Neurological Association meeting in October.

As part of its ATTR efforts, Alnylam has also been conducting natural history of disease studies in both FAP and FAC patients. Data from the 283-patient FAP study was presented earlier this year and showed a rapid progression in neuropathy impairment scores and a high correlation of this measurement with disease severity.

During last week’s conference call, Vaishnaw said that clinical endpoint and biomarker data on about 400 patients with either FAC or SSA have already been collected in a nature history study on cardiac ATTR. Maraganore said that these findings would likely be released sometime next year.

Alnylam Presents New Phase II, Preclinical Data from TTR Amyloidosis Programs
https://www.genomeweb.com/rnai/alnylam-presents-new-phase-ii-preclinical-data-ttr-amyloidosis-programs

 

Amyloid disease drug approved

Nature Biotechnology 2012; (3)  http://dx.doi.org:/10.1038/nbt0212-121b

The first medication for a rare and often fatal protein misfolding disorder has been approved in Europe. On November 16, the E gave a green light to Pfizer’s Vyndaqel (tafamidis) for treating transthyretin amyloidosis in adult patients with stage 1 polyneuropathy symptoms. [Jeffery Kelly, La Jolla]

 

Safety and Efficacy of RNAi Therapy for Transthyretin …

http://www.nejm.org/…/NEJMoa1208760?&#8230;

The New England Journal of Medicine

Aug 29, 2013 – Transthyretin amyloidosis is caused by the deposition of hepatocyte-derived transthyretin amyloid in peripheral nerves and the heart.

 

Alnylam’s RNAi therapy targets amyloid disease

Ken Garber
Nature Biotechnology 2015; 33(577)    http://dx.doi.org:/10.1038/nbt0615-577a

RNA interference’s silencing of target genes could result in potent therapeutics.

http://www.nature.com/nbt/journal/v33/n6/images/nbt0615-577a-I1.jpg

The most clinically advanced RNA interference (RNAi) therapeutic achieved a milestone in April when Alnylam Pharmaceuticals in Cambridge, Massachusetts, reported positive results for patisiran, a small interfering RNA (siRNA) oligonucleotide targeting transthyretin for treating familial amyloidotic polyneuropathy (FAP).  …

  1. Analysis of 589,306 genomes identifies individuals resilient to severe Mendelian childhood diseases

Nature Biotechnology 11 April 2016

  1. CRISPR-Cas systems for editing, regulating and targeting genomes

Nature Biotechnology 02 March 2014

  1. Near-optimal probabilistic RNA-seq quantification

Nature Biotechnology 04 April 2016

 

Translational Neuroscience: Toward New Therapies

https://books.google.com/books?isbn=0262029863

Karoly Nikolich, ‎Steven E. Hyman – 2015 – ‎Medical

Tafamidis for Transthyretin Familial Amyloid Polyneuropathy: A Randomized, Controlled Trial. … Multiplex Genome Engineering Using CRISPR/Cas Systems.

 

Is CRISPR a Solution to Familial Amyloid Polyneuropathy?

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

Originally published as

https://pharmaceuticalintelligence.com/2016/04/13/is-crispr-a-solution-to-familial-amyloid-polyneuropathy/

 

http://scholar.aci.info/view/1492518a054469f0388/15411079e5a00014c3d

FAP is characterized by the systemic deposition of amyloidogenic variants of the transthyretin protein, especially in the peripheral nervous system, causing a progressive sensory and motor polyneuropathy.

FAP is caused by a mutation of the TTR gene, located on human chromosome 18q12.1-11.2.[5] A replacement of valine by methionine at position 30 (TTR V30M) is the mutation most commonly found in FAP.[1] The variant TTR is mostly produced by the liver.[citation needed] The transthyretin protein is a tetramer.    ….

 

 

Read Full Post »

Natural Killer Cell Response: Treatment of Cancer

Curator: Larry H. Bernstein, MD, FCAP

 

Molecular mechanisms of natural killer cell activation in response to cellular stress

C J Chan1,2,3, M J Smyth1,2,3,4,5 and L Martinet1,2,4,5        Edited by M Piacentini

Cell Death and Differentiation (2014) 21, 5–14;    http://www.nature.com/cdd/journal/v21/n1/full/cdd201326a.htm

Protection against cellular stress from various sources, such as nutritional, physical, pathogenic, or oncogenic, results in the induction of both intrinsic and extrinsic cellular protection mechanisms that collectively limit the damage these insults inflict on the host. The major extrinsic protection mechanism against cellular stress is the immune system. Indeed, it has been well described that cells that are stressed due to association with viral infection or early malignant transformation can be directly sensed by the immune system, particularly natural killer (NK) cells. Although the ability of NK cells to directly recognize and respond to stressed cells is well appreciated, the mechanisms and the breadth of cell-intrinsic responses that are intimately linked with their activation are only beginning to be uncovered. This review will provide a brief introduction to NK cells and the relevant receptors and ligands involved in direct responses to cellular stress. This will be followed by an in-depth discussion surrounding the various intrinsic responses to stress that can naturally engage NK cells, and how therapeutic agents may induce specific activation of NK cells and other innate immune cells by activating cellular responses to stress.

 

  • Stress induces specific intrinsic and extrinsic physiological mechanisms within cells that lead to their identification as functionally abnormal
  • Sources of cellular stress can be nutritional, physical, pathogenic, or oncogenic
  • Intrinsic responses to cellular stress include activation of the DNA-damage response, tumor-suppressor genes, and senescence
  • The extrinsic response to cellular stress is activation of the immune system, such as natural killer cells
  • Intrinsic responses to cellular stress can directly upregulate factors that can activate the immune system, and the immune system been shown to be indispensable for the efficacy of some chemotherapy

Further critical determinants of intrinsic responses to stress and cell death that can activate the immune system must be identified

  • Identification of the different cellular pathways and molecular determinants controlling the immunogenicity of different cancer therapies is required
  • How can we harness the ability of therapeutic agents to activate both the intrinsic and extrinsic responses to cellular stress to achieve more specific and safer approaches to cancer treatment?

Any insult to a cell that leads to its abnormal behavior or premature death can be defined as a source of stress. As the turnover and maintenance of cells in all multi-cellular organisms is tightly regulated, it is essential that stressed cells be rapidly identified to avoid widespread tissue damage and to maintain tissue homeostasis. Various intrinsic cellular mechanisms exist within cells that become activated when they are exposed to stress. These include activation of DNA-damage response proteins, senescence programs, and tumor-suppressor genes.1 Extrinsic mechanisms also exist that combat cellular stress, through the upregulation of mediators that can activate different components of the immune system.2 Although frequently discussed separately, much recent evidence has indicated that intrinsic and extrinsic responses to cellular stress are intimately linked.3

As the link between cell intrinsic and extrinsic responses to stress have been uncovered, these observations are now being harnessed therapeutically, particularly in the context of cancer.4 Indeed, various chemotherapeutic agents and radiotherapy are critically dependent on the immune system to elicit their full therapeutic benefit.5, 6 The mechanisms by which this occurs may be twofold: (i) the induction of intrinsic cellular stress mechanisms activates innate immunity and (ii) the release and presentation of tumor-specific antigens engages an inflammatory adaptive immune response.

NK cells are the major effector lymphocyte of innate immunity found in all the primary and secondary immune compartments as well as various mucosal tissues.7 Through their ability to induce direct cytotoxicity of target cells and produce pro-inflammatory cytokines such as interferon-gamma, NK cells are critically involved in the immune surveillance of tumors8, 9, 10 and microbial infections.11, 12 The major mechanism that regulates NK cell contact-dependent functions (such as cytotoxicity and recognition of targets) is the relative contribution of inhibitory and activating receptors that bind to cognate ligands.

Under normal physiological conditions, NK cell activity is inhibited through the interaction of their inhibitory receptors with major histocompatibility complex (MHC) class I.13, 14 However, upon instances of cellular stress that are frequently associated with viral infection and malignant transformation, ligands for activating receptors are often upregulated and MHC class I expression may be downregulated. The upregulation of these activating ligands and downregulation of MHC class I thus provides a signal for NK cells to become activated and display effector functions. Activating receptors are able to provide NK cells with a strong stimulus in the absence of co-stimulation due to the presence of adaptor molecules such as DAP10, DAP12, FcRγ, and CD3ζ that contain immunoreceptor tyrosine-based activating motifs (ITAMs).15, 16,17 By contrast, inhibitory receptors contain inhibitory motifs (ITIMs) within their cytoplasmic tails that can activate downstream targets such as SHP-1 and SHP-2 and directly antagonize those signaling pathways activated through ITAMs.18, 19, 20 The specific details of individual classes of inhibitory and activating receptors and their ligands are summarized in Figure 1 and have been extensively reviewed elsewhere.14, 21 Instead, this review will more focus on the relevant activating receptors that are primarily involved in the direct regulation of NK cell-mediated recognition of cellular stress: natural killer group 2D (NKG2D) and DNAX accessory molecule-1 (DNAM-1).

Figure 1.

Figure 1 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the authorNK cell receptors and their cognate ligands. Major inhibitory and activating receptors on NK cells and their cognate ligands on targets are depicted. BAT3, human leukocyte antigen (HLA)-B-associated transcript 3; CRTAM, class I-restricted T-cell-associated molecule; HA, hemagglutinin; HLA-E, HLA class I histocompatibility antigen, alpha chain E; IgG, immunoglobulin G; LFA-1, leukocyte function-associated antigen-1; LLT1, lectin-like transcript 1; TIGIT, T cell immunoglobulin and ITIM domain

Full figure and legend (185K)

NK Cell-Mediated Recognition of Cellular Stress by NKG2D and DNAM-1

NKG2D is a lectin-like type 2 transmembrane receptor expressed as a homodimer in both mice and humans by virtually all NK cells.22, 23 Upon interaction with its ligands, NKG2D can trigger NK cell-mediated cytotoxicity against their targets. The ligands for NKG2D are self proteins related to MHC class I molecules.24 In humans, these ligands consist of the MHC class I chain-related protein (MIC) family (e.g., MICA and MICB) and the UL16-binding protein (ULBP1-6) family.25, 26 In mice, ligands for NKG2D include the retinoic acid early inducible (Rae) gene family, the H60 family, and mouse ULBP-like transcript-1 (MULT-1).27, 28, 29 NKG2D ligands are generally absent on the cell surface of healthy cells but are frequently upregulated upon cellular stress associated with viral infection and malignant transformation.3, 30 Indeed, NKG2D ligand expression has been found on many transformed cell lines, and NKG2D-dependent elimination of tumor cells expressing NKG2D ligands has been well documented in vitro and in tumor transplant experiments.25, 30, 31, 32, 33 In humans, NKG2D ligands have been described on different primary tumors34, 35 and specific NKG2D gene polymorphisms are associated with susceptibility to cancer.36 Finally, blocking NKG2D through gene inactivation or monoclonal antibodies leads to an increased susceptibility to tumor development in mouse models,37, 38demonstrating the key role played by NKG2D in immune surveillance of tumors. NKG2D can also contribute to shape tumor immunogenicity, a process called immunoediting, as demonstrated by the frequent ability of tumor cells to avoid NKG2D-mediated recognition through NKG2D ligand shedding, as discussed later in this review.38, 39, 40

DNAM-1 is a transmembrane adhesion molecule constitutively expressed on T cells, NK cells, macrophages, and a small subset of B cells in mice and humans.41, 42, 43 DNAM-1 contains an extracellular region with two IgV-like domains, a transmembrane region and a cytoplasmic region containing tyrosine- and serine-phosphorylated sites that is able to initiate downstream activation cascades.41, 44 There is accumulating evidence showing that DNAM-1 not only promotes adhesion of NK cells and CTLs but also greatly enhances their cytotoxicity toward ligand-expressing targets.41, 45, 46, 47, 48, 49, 50 The ligands for DNAM-1 are the nectin/nectin-like family members CD155 (PVR, necl-5) and CD112 (PVRL2, nectin-2).45, 46 Like NKG2D ligands, DNAM-1 ligands are frequently expressed on virus-infected and transformed cells.51, 52DNAM-1 ligands, especially CD155, are overexpressed by many types of solid and hematological malignancies and blocking DNAM-1 interactions with its ligands reduces the ability of NK cells to kill tumor cells in vitro.41, 49, 53, 54, 55, 56, 57 Further evidence of the role of DNAM-1 in tumor immune surveillance is provided by studies using experimental and spontaneous models of cancer in vivo showing enhanced tumor spread in the absence of DNAM-1.47, 48, 49, 50, 58

As NKG2D and DNAM-1 ligands are frequently expressed on stressed cells, many studies have sought to determine the mechanisms that underpin these observations. The guiding hypothesis for these studies is that cell-intrinsic responses to stress are directly linked to cell-extrinsic responses that can trigger rapid NK cell surveillance and elimination of stressed cells. Indeed, major cell-intrinsic responses to cellular stress can directly lead to NK cell-activating ligand upregulation and are outlined in the following sections.

The DNA-Damage Response

Cellular stress caused by the activation of the DNA-damage response leads to downstream apoptosis or cell-cycle arrest. The activation of DNA-damage checkpoints occurs when there are excessive DNA strand breaks and replication errors, thereby representing an important tumorigenesis barrier that can slow or inhibit the progression of malignant transformation.59, 60 Two major transducers of the DNA-damage response are the PI3-kinase-related protein kinases ATM (ataxia telangiectasia mutated) and ATR (ATM and Rad3-related). ATM and ATR can modulate numerous signaling pathways such as checkpoint kinases (Chk1 and Chk2, which inhibit cell-cycle progression and promote DNA repair) and p53 (which mediates cell-cycle arrest and apoptosis).61

In addition to the induction of cell-cycle arrest and apoptosis, activation of the DNA-damage response has been shown to promote the expression of several activating ligands that are specific for NK cell receptors, primarily those of the NKG2D receptor. These findings have shown a critical direct link between cellular transformation, apoptosis, and surveillance by the immune system.62 The first evidence of this link between DNA damage and immune cell activation was provided by Raulet and colleagues who showed that NKG2D ligands were upregulated by genotoxic stress and stalled DNA replication conditions known to activate either ATM or ATR.63 These observations have now been extended by several other studies that have defined further DNA-damaging conditions (e.g., genotoxic drugs/chemotherapy, deregulated proliferation, or oxidative stress) that can promote NKG2D ligand upregulation.64, 65, 66, 67

The role of the DNA-damage response in controlling NKG2D ligand expression and subsequent NK cell activation has also been demonstrated in the context of anti-viral immunity, specifically in Abelson murine leukemia virus infection.68 This pathogen was shown to induce activation-induced cytidine deaminase (AID) expression outside the germinal center, resulting in generalized hypermutation, DNA-damage checkpoint activation, and Chk1 phosphorylation. The genotoxic activity of virally induced AID not only restricted the proliferation of infected cells but also induced the expression of NKG2D ligands. More recently, another member of APOBEC-AID family of cytidine deaminases, A3G, has been shown to promote the recognition of HIV-infected cells by NK cells after DNA-damage response activation.69 In this study, viral protein Vpr-mediated repair processes, which generate nicks, gaps, and breaks of DNA, activate an ATM/ATR DNA-damage response that leads to NKG2D ligand expression.

The DNA-damage sensors ATM and ATR have also been shown to regulate other key NK cell-activating ligands such as the DNAM-1 ligand, CD155.58, 65, 70 For example, in the Eμ-myc spontaneous B-cell lymphoma model, activation of the DNA-damage response leads to the upregulation of CD155 in the early-stage transformed B cells, subsequently activating spontaneous tumor regression in an NK cell- and T-cell-dependent manner.58 The DNA-damage response can also regulate the expression of the death receptor DR5.71 The engagement of DR5 by the effector molecule TRAIL, which is expressed by NK cells and T cells, can induce apoptosis of target cells and has been shown to have a key role in immune surveillance against tumors.72 Collectively, these results suggest that the detection of DNA damage, primarily through ATM and ATR, may represent a conserved protection mechanism governing the immunogenicity of infected or transformed cells, leading to direct recognition by NK cells (Figure 2).

Figure 2.

Figure 2 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the authorOverview of the molecular pathways leading to NK cell recognition of intrinsic cellular stress. Oncogenic transformation and viral infection can activate intrinsic cellular responses to stress. These responses include activation of the DNA-damage response, senescence, tumor suppressors, and the presentation and/or release of HSPs that, in turn, can activate NK cells through various receptor–ligand interactions. Senescent cells can also release pro-inflammatory cytokines that can recruit NK cells and other innate immunity, such as macrophages. CCL2, C-C motif chemokine ligand 2; CXCL11, C-X-C motif chemokine ligand 11; DR, death receptor 5; IFN, interferon; IL, interleukin; LFA-1, leukocyte function-associated antigen-1; TRAIL, tumor necrosis factor-related apoptosis-inducing ligand

Full figure and legend (146K)

As a result of these studies, many therapeutic agents known to induce DNA damage have been evaluated for their ability to increase the immunogenicity of cancer cells for a more targeted therapeutic approach using NK cells.64, 65 For example, treatment of multiple myeloma cells with doxorubicin, melphalan, or bortezomib can lead to DNAM-1 and NKG2D ligand upregulation.65Indeed, many chemotherapeutic agents commonly used, especially in hematological malignancies, can trigger the DNA-damage pathway. Therefore, it is reasonable to speculate that there is a general role of ATM and ATR in the induction of NK cell activation as a therapeutic effect of these agents.

Senescence

Cellular senescence is generally defined as a growth-arrest program in mammalian cells that limits their lifespan.73 The major type of cellular senescence is replicative senescence that occurs due to telomere shortening. However, it is now generally accepted that premature senescence can also occur due to oncogene activation (oncogene-induced senescence) and/or the loss/gain of tumor-suppressor gene function, in the absence of telomere shortening.74 Thus, premature senescence is an important barrier against malignant transformation.59 Upon engagement of the senescence program, although cells are in growth arrest, they remain metabolically active and can produce many pro-inflammatory cytokines, as well as upregulate adhesion molecules and activating ligands to alert the immune system.75, 76, 77Activation of the immune system, in particular innate immunity, has a critical role in the clearance of senescent cells.78, 79, 80, 81More specifically, in a model of hepatocellular carcinoma, it has been shown that reactivation of p53 can induce a senescence program, resulting in tumor regression through the activation of NK cells, macrophages, and neutrophils. Of note, intercellular adhesion molecule (ICAM)-1, which can trigger both adhesion and cytotoxicity of NK cells,82 and interleukin-15, a cytokine that can promote NK cell effector function,83 were both upregulated in senescent tumors. More recently, the potential contribution of NK cells was also shown in the clearance of senescent hepatic stellate cells, a mechanism important in limiting liver fibrosis in response to a fibrogenic agent.80 ICAM-1, NKG2D ligands (MICA and ULPB2), and DNAM-1 ligands (CD155) were all upregulated on senescent hepatic stellate cells.

The specific mechanisms linking the senescence program to immune activation are not yet fully understood. However, the intracellular molecular mechanisms that govern induction of senescence may provide possible indications. Both replicative senescence and premature senescence (e.g., oncogene-induced senescence) have been shown to have common molecular determinants, such as the activation of the DNA-damage response pathway (e.g., ATM and ATR) and downstream activation of p53 and p16INK4A.1, 59, 84, 85, 86 Activation of the DNA-damage response would presumably initiate the upregulation of NK cell-activating ligands as previously discussed. However, how senescence may be linked to the induction of pro-inflammatory cytokine release is a more compelling question and requires further investigation (Figure 2). Nevertheless, induction of pro-inflammatory cytokines is an important protective mechanism in order to recruit immune cells that can rapidly recognize and remove senescent cells. Interestingly, activation of NK cells by senescent cells has been observed in a clinical context when multiple myeloma cells were treated with chemotherapy and genotoxic agents.65 In this setting, NKG2D and DNAM-1 ligands were both upregulated through a mechanism that required activation of the DNA-damage pathway initiated by ATM and ATR.65

Tumor Suppressors: p53

p53 is a potent tumor suppressor and central regulator of apoptosis, DNA repair, and cell proliferation, that is activated in response to DNA damage, oncogene activation, and other cellular stress.87 The number of identified cellular functions that p53 regulates has greatly increased over the past few years, and there is now a vast array of evidence that shows that p53 can be induced by viral infection88 to limit pathogen spread by inducing apoptosis.89, 90 Furthermore, p53 not only acts as an intrinsic barrier against tumorigenesis or pathogenic spread but can also lead to increased cellular immunogenicity. For example, p53 reactivation in a hepatocellular carcinoma can promote tumor regression mediated by innate immunity.78 A direct link between p53 expression and immune cell recognition was recently provided by Textor et al.91 where expression of p53 in lung cancer cell lines strongly upregulated the NKG2D ligands ULBP1 and 2, resulting in NK cell activation. Subsequently, p53-responsive elements were found to directly regulate ULBP1 and 2 expression, the deletion of which abolished the capacity of p53 to mediate ULBP1 and 2 upregulation. Another recent report that used a pharmacological activator of p53 confirmed the ability of p53 to directly induce ULBP2 expression that was independent of ATM/ATR.92 However, it has also been shown that miR34a and miR34C microRNAs (miRNAs) induced by p53 can target ULBP2 mRNA and reduce its cell-surface expression, suggesting that p53 may have a dual role in regulating ULBP2 expression.93 Finally, early work showed that NKG2D ligands can be upregulated by ATR/ATM in the total absence of p53 in tumor cell lines,62, 63 suggesting the existence of ATM/ATR-dependent and p53-independent pathways that regulate NKG2D ligand expression in response to cellular stress.

In addition to regulating NK cell ligand expression, genetic reactivation of p53 in tumors can also induce a wide array of pro-inflammatory mediators ranging from adhesion receptor (ICAM-1) expression to the production of various chemokines (CXCL11 and monocyte chemoattractant protein-1) and cytokines (interleukin-15).78 Furthermore, recent studies in anti-viral immunity indicate that several interferon-inducible genes and Toll-like receptor-3 expression are direct transcriptional targets of p53 and that p53 contributes to production of type I interferon by virally infected cells.94, 95, 96 All together, these studies suggest that p53 accumulation could represent a key determinant of the immunogenicity of stressed cells that are infected or undergoing malignant transformation through its ability to regulate innate immune activation.

Oncogenes

Malignant transformation is a complex process that frequently involves the activation of one or more oncogenes in addition to the inactivation or mutation of tumor-suppressor genes (e.g., p53). Oncogene activation is a powerful inducer of cellular stress that is able to activate intrinsic cellular programs that lead to cell apoptosis or senescence (e.g., activation of the DNA-damage response and p53).1 In addition, many recent reports have also shown that major oncogenes can activate extrinsic responses to cellular stress through inducing the upregulation of NK cell-activating ligands.63, 97, 98 This suggests that oncogene activation can represent a key cellular event in alerting the immune system to ongoing cellular transformation (Figure 3).

Figure 3.

Figure 3 - Unfortunately we are unable to provide accessible alternative text for this. If you require assistance to access this image, please contact help@nature.com or the authorMolecular mechanisms that regulate the cell surface expression of NKG2D ligands. The major group of NK cell-activating ligands that are upregulated by intrinsic cellular responses to stress are those that bind the NKG2D receptor. Activation of the DNA-damage response, senescence, oncogenes, tumor suppressors, or sensing of deregulated proliferation can induce NKG2D ligand gene transcription and increase mRNA translation, leading to extracellular protein expression. MMP, matrix metalloproteases

Full figure and legend (183K)

The enhanced expression of the proto-oncogene Myc has been described as a critical event leading to cellular transformation and is a frequently found genetic alteration in cancer.99 In a recent study, again using the Eμ-myc model, Medzhitov and colleagues demonstrated the ability of c-Myc to alert NK cells to early oncogenic transformation through the upregulation of Rae-1.97 In this study, the induction of Rae-1 was dependent on the direct regulation of Rae-1 transcription by Myc through its interaction with the Raet1 epsilon gene. Collectively, these results provide a possible direct molecular mechanism to explain the increased susceptibility of NKG2D gene-targeted mice to lymphoma development in the Eμ-myc model.38

Recent evidence suggests that several oncogenic mutations of Ras (H-Ras, N-Ras, and K-Ras) can also regulate NKG2D ligand expression in both mice and humans.98 Interestingly, in this case, NKG2D ligands were regulated through MAPK/MEK and PI3K pathways downstream of oncogenic H-RasV12. The activation of PI3K pathways, and more particularly the p110α subunits by virus-encoded proteins, has also been shown to induce the Rae-1 family of ligands.100 As many viruses can manipulate the PI3K pathway101 and tumors often bear Ras and p110α oncogene mutations,102 collectively, this data suggests that there is the existence of a common molecular mechanism by which NK cells sense cellular stress mediated by PI3K-dependent regulation of NKG2D ligands.

Interestingly, whereas Myc was involved in the transcriptional regulation of NKG2D ligands, PI3K can increase NKG2D ligand expression by increasing the translation of Rae-1 mRNA.98 This involved the induction of eIF4E, a protein that enhances the translation of mRNA.103 As number of tumors and viruses can upregulate host translation initiation machinery through the overexpression of eIF4E,104, 105 this may represent an important means by which NK cells can discriminate tumor- and virus-infected cells from normal cells.

Heat-Shock Proteins (HSPs)

HSPs are highly conserved intracellular chaperone molecules that are present in most prokaryotic and eukaryotic cells that mediate protection against cellular damage under conditions of stress. HSPs are distributed in most intracellular compartments of cells where they support the correct folding of nascent polypeptides, prevent protein aggregation, and assist in protein transport across membranes.106 Many tumors display overexpression of HSPs as a response to cellular stress induced by oncogenic transformation.107, 108 HSPs can also be mobilized to the plasma membrane, or even released from cells, under conditions of stress.109

Although intracellular HSPs can promote cell survival by interfering with different apoptosis components, many studies have reported that membrane-bound or soluble HSPs can directly stimulate innate immunity.110 A major immunostimulatory function of HSPs is to promote the presentation of tumor-specific antigens by MHC class I to CD8 T cells.111, 112, 113 Soluble and membrane-bound HSPs can also induce antigen-presenting cell maturation and the resultant secretion of pro-inflammatory cytokines.114, 115, 116Finally, HSPs may directly activate NK cells as HSP70, when overexpressed on tumor cells, can induce a selective dose-dependent increase in NK cell-mediated cytotoxicity in vitro.117 NK cells may directly recognize HSP70 through a 14-amino-acid oligomer (TKD) that is localized in the C-terminal domain of the protein through CD94.118, 119 Tumor-specific HSP70 that is either presented at the cell surface or secreted on exosomes can also enhance NK cell activity against diverse types of cancer in vivo.120, 121 Most importantly, hepatocellular carcinoma cells that are treated with various chemotherapeutic agents can become more susceptible to NK cell-mediated cytotoxicity through their release of HSP-containing exosomes, giving the aforementioned findings a therapeutic context.122 Collectively, these results suggest that HSP translocation to the plasma membrane or secretion during cellular stress may represent a potent danger signal that can stimulate NK cell activity, particularly in the context of cancer.

 

Read Full Post »

Heat Shock Proteins (HSP) and Molecular Chaperones

Curator: Larry H. Bernstein, MD, FCAP

 

HSP

 

Report on the VIIth International Symposium on Heat Shock Proteins in Biology & Medicine

The major themes of this meeting were: new properties of heat shock proteins (HSPs) and heat shock factor (HSF) and role in the etiology of cancer, molecular chaperones in aging, extracellular HSPs in inflammation and immunity, role of heat shock and the heat shock response in immunity and cancer, protein aggregation disorders and HSP expression, and Hsp70 in blood cell differentiation.
This symposium was the seventh symposium in a series presided over by Dr Stuart Calderwood aimed at exploring the association of molecular chaperones, heat shock proteins, and the heat shock response in physiological/pathological processes. The biochemistry and ultrastructure of molecular chaperones was not emphasized, as these topics are well represented at other meetings. The major themes were: new properties of heat shock proteins (HSPs) and heat shock factor (HSF) and role in the etiology of cancer, molecular chaperones in aging, extracellular HSPs in inflammation and immunity, role of heat shock and the heat shock response in immunity and cancer, protein aggregation disorders and HSP expression, and Hsp70 in blood cell differentiation. This report gives a thematic overview and does not include all the topics presented.
NEW PROPERTIES OF HSPS AND HSF, AND ROLE IN THE ETIOLOGY OF CANCER 

One of the exciting aspects of the meeting involved advances made in understanding the biology of Hsp90. In recent years, we have understood the molecular chaperone activities of Hsp90 mostly in terms of its biochemistry, cooperative interactions with cochaperones. However, Dr Len Neckers (NCI/NIH), the conference keynote speaker, has opened up new areas in our understanding of this chaperone by characterizing the role of posttranslational modification (PTM) in terms of phosphorylation, acetylation, and sumoylation in Hsp90 biology. One particularly intriguing possibility is that altered signaling mechanisms characteristic of cancer may target such PTMs, and this could contribute to the “addiction to chaperones” observed in malignant cells. (Also discussed later by Dr Mehdi Mollapour, SUNY Upstate Medical University).

In addition, interesting differences in properties of the two Hsp90 isoforms have been detected. Dr Wei Li (University of Southern California) has shown that Hsp90a can be released into the extracellular environment and there take part in cell regulation, mediating for instance wound healing effects. In addition, proteomic studies carried out by Thomas Prince (NCI/NIH) in the Neckers lab indicate that Hsp90β may be more dedicated to “housekeeping” molecular chaperone functions while Hsp90α may play more glamorous roles in cell regulation. These distinctions might not be anticipated based on the rather minimal sequence differences between the Hsp90s but offer keen insights into the biology of this chaperone. Finally, Dr Tim Haystead (Duke University) discussed the approach of targeting ectopically expressed Hsp90 for imaging and treatment.

Another PTM with implications in the stress response is the modification of intracellular proteins by monosaccharides of O-linked β-N- acetylglucosamine (O-GlcNAc). Dr Natasha Zachara (Johns Hopkins University School of Medicine) discussed targets for this modification and roles in cytoprotection.

The poster session was also rich in Hsp90 studies, mostly from the Neckers lab—presentations by Kristin Beebe et al. (NCI/NIH) Posttranslational modification state of Hsp90 differentially affects binding of small molecule inhibitors; Toshiki Kijima et al. (NCI/NIH), Defined interactions between HSF1 and Hsp90; T. Prince et al. (NCI/NIH) Hsp90 and tyrosine kinase inhibitors: A synergistic approach towards combating cancer; Andrew W. Truman (University of Chicago)Quantitive ptoteomics of the yeast Hsp70/Hsp90 interactomes during DNA damage reveals chaperone–dependent regulation of ribonucleotide reductase. Inhibition of Hsp90 via C–domain induces temporally distinct phosphorylation patterns; and Diana M. Dunn (SUNY Upstate Medical University)Phosphorylation of human Hsp90 threonine 115 modulates chaperone function and drug sensitivity.

Hsp70 is also emerging as a factor in cell regulation, exhibiting properties beyond a narrow role in chaperoning. Dr Michael Sherman (Boston University) showed a key role for Hsp72 in mammary cancer, and this property did not seem to depend on alterations in protein folding. Instead, Hsp72 appeared to function through its co-chaperone Bag3, a major regulatory molecule in cell signaling. In addition, a presentation by Stuart Calderwood (Harvard Medical School) that included work by Jianlin Gong showed that Hsp72 is required for tumor initiation and metastasis in murine spontaneous breast cancer. These effects appeared to be partially mediated through regulation of expression of the protoooncogene c–Met, a key player in invasion and metastasis in cancer. We anticipate advances in understanding of the roles of individual members of the Hsp70 family, as is currently emerging for Hsp90. The prospect of targeting Hsp70 with small molecule inhibitors was elegantly discussed by Maureen Murphy (The Wistar Institute), who introduced a novel class of drugs that could selectively kill cancer cells by inhibiting Hsp70 function. In a related topic, Dr Mathias P. Mayer (University of Heidelberg) showed a detailed analysis of the activities of inhibitors targeting various domains in Hsp70.

Dr Takanori Eguchi (Harvard Medical School) then described his studies showing an unconventional role for the extracellular protease MMP3 as a nuclear protein that could trigger molecular chaperone synthesis (HspA7) in mammary cancer. Interestingly, a role in cancer for the Hsp70 co-chaperone Hsp40 was also shown by Dr Jane Trepel (NCI/NIH).

One presentation that stood apart was that of Dr Carmen Garrido (INSERM U866) who has shown very impressive studies indicating a key role for Hsp70 in hematopoiesis, acting through the factor GATA1. This role appeared to depend on nuclear localization of Hsp70, and Dr Garrido is attempting to study the role of PTM, particularly phosphorylation in this function/localization of Hsp70. This continued the theme of HSP PTM and regulation in the cell.

MOLECULAR CHAPERONES IN AGING

A symposium on molecular chaperones in aging was organized by Dr Shelley Buffenstein (University of Texas Health Science Center San Antonio). This symposium featured some fascinating studies on the naked mole rat (NMR), a rodent with a remarkable lifespan based on size (32 years compared to 3 years in the comparably sized mouse). This has permitted comparative biology studies that have uncovered important aspects of the aging process in mammals. Dr Buffenstein showed that one aspect of the proteotoxic response was enhanced in NMR—proteasome activity that was resistant to oxidative stress as well as conventional proteasome inhibitors. Such proteasome resistance appeared to be conferred by Hsp70 and Hsp40. Karl Rodriguez (also from the UTHSC San Antonio) stressed the importance of Hsp25 in the longevity of NMR. This small HSP is expressed to very high levels in this organism. Kenneth B. Storey (Carleton University) finally gave an encyclopedic presentation entitled “HeatShock Proteins and Hypometabolism in Nature”, discussing the multiple roles of chaperones in hibernation and other processes involving a step down in metabolism.

PROTEIN AGGREGATION DISORDERS AND HSP EXPRESSION

Michael Sherman (Boston University) chaired a lively and highly diverse session on protein aggregation disorders and HSPs. Gary Jones (Maynooth University) discussed his studies on the roles of Hsp104, Hsp70, and Hsp40 in prion propagation in yeast, concentrating on Hsp70. The Hsp complex was able to dissolve prions in yeast. Daniel Kaganovich (Hebrew University) then continued in a yeast theme, discussing a further strategy for resolving proteotoxic stress involving asymmetric cell division in which damaged proteins and mitochondria remain with the mother cell after mitosis. Nava Zaarur (Boston University) then discussed the role of aggresome particles in resolving aggregated proteins, in this case in eucaryotes. Alberto Macario (University of Maryland School of Medicine) discussed the role of chaperonins in proteotoxic disorders dealing with the effects of a pathogenic mutation of human CCT5 on its intrinsic properties. Dr Elaine C. Lee (University of Connecticut) discussed another type of stress. She showed significant roles for chaperones in osmotic stress responses of Caenorhabditis elegans models of polyglutamine diseases.

EXTRACELLULAR HSPS, INFLAMMATION, AND IMMUNITY

Although it is now generally accepted that HSPs can escape the confines of the cell, many questions still remain regarding their extracellular properties, particularly with regard to their immune effects. These questions include: whether HSPs are mostly immunostimulatory or immunosuppressive, whether they can induce sterile inflammation, and what structures on the immune cells recognize the HSPs. Dr Cristina Bonorino (Pontifícia Universidade Católica do Rio Grande do Sul) chaired a symposium “HSP as modulators of immunity: prokaryotic meets eukaryotic” featuring presentations by Robert Binder (University of Pittsburgh), Eckhart R. Podack (University of Miami), Renata Pasqualini (University of New Mexico Medical School), and Cristina Bonorino. In short, the talks indicated that while the prokaryotic chaperone DNA-PK can be immunosppressive and prolong the lifetime of transplanted tissues and reduce the morbidity of arthritis (Drs Bonorino and Kamal Moudgil (University of Maryland School of Medicine)), HSPs can also be immunostimulatory and act as cancer vaccines when associated with cancer antigens (Drs Binder and Podack). In the discussion, it was stressed that these effects may be related to HSP dose, with low doses of HSP antigen complex favoring immunity while higher doses may lead to immunoregulatory effects (Dr Binder). Most parties agreed that much future study is required to resolve all these issues. It was also suggested, inspired by the presentation of Dr Neckers, that HSP PTMs might also be playing roles in shading the immune effects of HSPs (Dr Bonorino). In the next session, Drs Shawn Wang (Virginia Commonwealth University School of Medicine) and John Subjeck (Roswell Park Cancer Institute) discussed the molecular foundations of their highly effective large HSP vaccines that are now in clinical trial for tumor immunotherapy. They indicated that the high avidity for antigen of the larger HSPs might be key for effectiveness. Although the nature of HSP receptors is still not fully resolved, Ayesha Murshid (Harvard Medical School) made a strong case for the scavenger receptor SREC-I as a key molecule in the effects of HSPs on immune cells. As many of the HSPs are in large families, it has not been clear whether all members of Hsp90 or Hsp70 can function outside the cell. Dr Wei Li (University of Southern California) showed that HSP90 family member Hsp90α is the major secreted factor while Dr John Williams (University of Chester) showed potent extracellular effects for human HSP70 isoform HSPA1A. Extracellular roles are not restricted to Hsp90, and Edward O’Brien (Libin Cardiovascular Institute of Alberta/University of Calgary) discussed the extracellular role of heat shock protein 27 (HSPB1) in inflammatory vascular disease. Another lively issue is whether HSPs are released as free proteins, packaged in exosomes, or whether both forms co-exist. This issue was discussed by Monika Fleshner (University of Colorado) and Antonio De Maio (University of California San Diego). Dr De Maio brought up the interesting scenario of Hsp70 binding directly to lipid membranes and perhaps forming membrane channels (Ryan White, University of Maryland).

HSPs are evidently not the only types of stress proteins that can function in the extracellular milieu, as indicated by Dr Michael A. Lynes (University of Connecticut). In a presentation entitled Therapeutic manipulation of the stress response during inflammatory disease, Dr Lynes showed a significant role for extracellular metallothionen in inflammatory bowel disease. Along those lines, Dr George Perdrizet (University of California San Diego) discussed the use of hyperbaric oxygen for enhanced wound healing in diabetic neuropathy, showing impressive clinical findings.

see more at — doi:  10.1007/s12192-014-0562-z

Lens Intermediate Filaments

 The ocular lens assembles two separate Intermediate Filament systems sequentially with differentiation. Canonical 8–11 nm IFs composed of Vimentin are assembled in lens epithelial cells and younger fiber cells, while the fiber cell-specific Beaded Filaments are switched on as fiber cell elongation initiates. Some of the key features of both filament systems are reviewed. Actin filaments and microtubules are essential to the most elemental functions of eukaryotic cells. These filamentous structures are assembled from proteins derived from small, highly conserved gene families. Though tissue specificity exists in the expression of some actin and tubulin family members, they are generally expressed in a ubiquitous manner, and are required for eukaryotic cell survival and replication. In contrast, the family of proteins that comprise the cytoplasmic Intermediate Filaments (IFs) is one of the largest in the human genome with greater than 60 members. IFs are generally not required for cell survival, and are absent from single cell eukaryotes, suggesting a more recent appearance on the evolutionary stage, and a less-essential role in the biology of the cell.
The IF family also differs sharply from actins and tubulins in that there is great variation in both size and sequence among the IF proteins, with sequence identity falling below 30% between more distant members of the human IF family. However, despite the large number of IF proteins available for the construction of IFs, any given cell typically expresses only 1–3 IF proteins, with expression tightly restricted to cell type and state of differentiation. This suggests a considerable degree of cell-specific specialization.
While IF proteins show considerable sequence and size variation, they are unified into a family on the basis of three major features:
1. Predicted domain structure (see figure 1): Algorithms that predict coiled-coil structure show a common predicted domain structure consisting of a) head and tail domains which are quite variable in both size and sequence, and b) a central rod domain where the size (~310 amino acids) and predicted secondary structure is strongly conserved. The rod domain consists of large regions of alpha helical structure (coil domains) interrupted by short non-helical regions (“linkers”) that connect the coil domains. The size, number, and placement of linkers and coils are well-conserved. Moreover, the coil domains exhibit a heptad repeat pattern where the 1, 4 positions in the heptad are dominated by hydrophobic amino acids. Because the 1,4 positions are aligned on one  side of the helix, they form a largely hydrophobic “stripe” that runs along one side of the alpha helix. This stripe mediates the dimerization of two matched coil domains. The hydrophobic stripe gently twists around the axis of the helix, giving rise to a supercoiling of two alpha helices, hence the “coiled-coil”.
The requisite hydrophobicity at the 1, 4 positions of the heptad can be conferred by any of several amino acids, thus the central rod domain of IF proteins, while showing conserved secondary structure, also exhibits a generally high degree of sequence variation. The exceptions to this are two short motifs found at either end of the central rod domain, commonly called the Helix Initiation Motif (HIM) and the Helix termination Motif (HTM). At these two sites the primary sequence among IF proteins is well conserved. Not surprisingly, the HIM and HTM motifs are intolerant of mutations, with the majority of known IF diseases arising from point mutations in these sites (http://www.interfil.org).
2. Conserved gene structure: Sequence analysis of IF proteins has allowed clustering of IF proteins into several major classes. Sequence conservation in the rod domain is high within a class (typically greater than 70%) but low between classes. Analysis of the IF genes shows that there is conservation of gene structure as well within the IF family, with the number and placement of introns and exons well conserved, especially in the central rod domain. The degree of gene structure conservation correlates well with the degree of primary sequence conservation, and reinforces the grouping of IF proteins into classes on the basis of primary sequence.
The Type I and II IF classes are called cytokeratins, and these comprise the IFs of epithelia. These begin assembly as an obligate heterodimer of one Type I and one Type II cytokeratin. The Type III IF proteins include vimentin, desmin, GFAP, and peripherin, and these are commonly found in tissues of mesenchymal origin. While Type III IF proteins can heterodimerize, they are more commonly found as homomeric filaments. The Type IV IF proteins are the neurofilament proteins Heavy (NFH), Medium (NFM) and Light (NFL), which assemble collectively into the IFs of neurons.
3. IF proteins form 8–11 nm diameter IFs. Ultimately, despite the differences in head/ tail size and sequence, and variation in the rod domain sequence, all cytoplasmic IF proteins typically assemble into 8–11 nm IFs.
The mechanism by which vimentin is removed as the cell transitions to the organelle-free state is unknown. In cells undergoing mitosis, vimentin IFs are routinely dismantled by phosphorlylation (Inagaki, Nishi et al. 1987), a modification that causes the relatively stable IF polymer break up into smaller subunits, thought to be tetramers. These are subsequently reassembled after cell division is complete. However, vimentin in lens fiber cells appears to removed, and not simply dismantled. IFs are known to be among the first targets of calcium activated proteases (calpains) in cells that are damaged, and many investigators have demonstrated the calcium-activated degradation of both vimentin and BFs in lens(Yoshida, Murachi et al. 1984; Truscott, Marcantonio et al. 1990; Marcantonio and Duncan 1991; Bettelheim, Qin et al. 1995; Andersson, Sjostrand et al. 1996; Sanderson, Marcantonio et al. 1996; Sanderson, Marcantonio et al. 2000). The dismantling of organelles implies a potential release of calcium from organelles in which it is otherwise routinely sequestered. Whether this release occurs, and whether it alters cytoplasmic calcium levels to a degree that would activate those calpains present in the fiber cell is not known.
Caspases activated in the apoptotic cascade can target conserved sites in IF proteins(Caulin, Salvesen et al. 1997). The elimination of organelles from the fiber cell represents an incomplete apoptotic event, and thus those enzymes responsible for organelle elimination may also represent a viable mechanism for explanation of vimentin’s suggested disappearance(Oshima 2002; Omary, Coulombe et al. 2004).
The loss or reduction of vimentin levels does not leave the mature lens fiber cell devoid of an IF system, however. In a manner that emulates IF switching seen in stratified epithelia, a second generation IF system is switched on in the lens as vimentin is being switched off. It is here where the story of the lens IF system takes the most unusual turn yet described in the IF field.
The initial recognition that the mature lens fiber cells departed from the IF dogma was made when Maisel and co-workers noted the presence of “Beaded Chain Filaments” or Beaded Filaments (BFs) in an electron microscopic analysis of chick lens homogenates (Maisel and Perry 1972; Maisel 1977; Bradley and Maisel 1978; Bradley, Ireland et al. 1979). These studies noted a clearly filamentous structure that was distinct from thin filaments, microtubules, and IFs, which at that time were emerging as the universal cytoskeletal structures common to essentially all vertebrate cells. Speculation emerged that these structures were thin filaments with bound alpha crystallin particles, or nucleosomes on DNA, but these explanations were ruled out experimentally (Bloemendal, Berbers et al. 1984; Ireland and Maisel 1984).
Consistent with the emerging role of IFAPs in modulating and adapting IF function is the observation that fiber cell vimentin IFs interact with the N Cadherin-gamma catenin complex (Leonard, Chan et al. 2008), lengsin(Wyatt, Gao et al. 2008), MIP(Lindsey Rose, Gourdie et al. 2006), periplakin(Yoon and FitzGerald 2008), tropomodulin(Fischer, Quinlan et al. 2003) and possibly other complexes which are present in lens(Bagchi, Katar et al. 2002; Straub, Boda et al. 2003; Bagchi, Katar et al. 2004). The number of candidate linker proteins demonstrated in lens leads to the expectation that the BF and IF are likely to accomplish multiple functions, and that these may be modulated as differentiation progresses, and as the fiber cell proteome changes, either by expression or proteolysis. Similarly, the small heat shock proteins, whose chaperone function appears essential to IF/BF assembly and maintenance, must be considered as critical parts of the biology of IFs in lens. Mutations in the small heat shock proteins have been shown to precipitate a failure in the IF systems in many tissues, and in lens specifically, and to subsequently emulate IF diseases (FitzGerald and Graham 1991; Nicholl and Quinlan 1994; Carter, Hutcheson et al. 1995; Vicart, Caron et al. 1998; Muchowski, Valdez et al. 1999; Perng, Cairns et al. 1999; Perng, Muchowski et al. 1999; Evgrafov, Mersiyanova et al. 2004; Treweek, Rekas et al. 2005; Song, Hanson et al. 2008). The growing multiplicity of IF interactions underscores the need to expect that failure in “IF function” in the lens can result from failure in a wide spectrum of proteins that affect assembly, phosphorylation, proteolytic modification, stability, removal, or linkage to other cellular structures, and that “IF failure” is likely to show considerable variability in phenotype.

Morphological characterization of the AlphaA- and AlphaB-crystallin double knockout mouse lens    Edited by Harry Maisel

Daniel L Boyle, Larry Takemoto, James P Brady and Eric F Wawrousek
BMC Ophthalmology 2003; 3:3   http://dx.doi.org:/10.1186/1471-2415-3-3

Background: One approach to resolving some of the in vivo functions of alpha-crystallin is to generate animal models where one or both of the alpha-crystallin gene products have been eliminated. In the single alpha-crystallin knockout mice, the remaining alpha-crystallin may fully or partially compensate for some of the functions of the missing protein, especially in the lens, where both alphaA and alphaB are normally expressed at high levels. The purpose of this study was to characterize gross lenticular morphology in normal mice and mice with the targeted disruption of alphaA- and alphaB-crystallin genes (alphaA/BKO). Methods: Lenses from 129SvEvTac mice and alphaA/BKO mice were examined by standard scanning electron microscopy and confocal microscopy methodologies. Results: Equatorial and axial (sagittal) dimensions of lenses for alphaA/BKO mice were significantly smaller than age-matched wild type lenses. No posterior sutures or fiber cells extending to the posterior capsule of the lens were found in alphaA/BKO lenses. Ectopical nucleic acid staining was observed in the posterior subcapsular region of 5 wk and anterior subcapsular cortex of 54 wk alphaA/BKO lenses. Gross morphological differences were also observed in the equatorial/bow, posterior and anterior regions of lenses from alphaA/BKO mice as compared to wild mice. Conclusion: These results indicated that both alphaA- and alphaB-crystallin are necessary for proper fiber cell formation, and that the absence of alpha-crystallin can lead to cataract formation.

Dogfish a-Crystallin Sequences COMPARISON WITH SMALL HEAT SHOCK PROTEINS AND SCHISTOSOMA EGG ANTIGEN*

Wilfried W. de JongS, Jack A. M. Leunissen, Pieter J. M. Leenen, Anneke Zweers, and Marlies Versteeg
J BIOL CHEM  1988; 263(11):5141-5149

The amino acid sequences of the a-crystallin A and B chains of the dogfish, Squalus acanthias, have been determined. Comparison with a-crystallins from other species reveals that charged amino acid replacements have been strongly avoided in the evolution of this lens protein. The homology of a-crystallins with the small heat shock proteins is pronounced throughout the major part of the proteins, starting from the position of the first intron in the a-crystallin genes, but is also detectable in the amino-terminal sequences of human, Xenopus, and Drosophila small heat shock proteins. In addition, a remarkable short sequence similarity is present only in the amino termini of dogfish aB and Drosophila HSP22. The Schistosoma egg antigen p40 turns out to have a tandomly repeated region of homology with the common sequence domain of a-crystallins and small heat shock proteins. Comparison of hydropathy profiles indicates the conservation of conformation of the common domains in these three families of proteins. Construction of phylogenetic trees suggests that the aA and aB genes apparently originated from a single ancestral small heat shock protein gene and indicates that introns have been lost during the evolution of the heat shock protein.

Acknowledgment – Maisel, H. (ed) (1985) The Ocular Lens, Marcel Dekker, New. York

 

Read Full Post »

Alzheimer Disease Developments – Spring 2015

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

 

Cognitive Stimulation Modulates Platelet Total Phospholipases A2 Activity in Subjects with Mild Cognitive Impairment

 

JNK: A Putative Link Between Insulin Signaling and VGLUT1 in Alzheimer’s Disease

Omega-3 Fatty Acid Status Enhances the Prevention of Cognitive Decline by B Vitamins in Mild Cognitive Impairment – Openly Available
Oulhaj, Abderrahim | Jernerén, Fredrik | Refsum, Helga | Smith, A. David | de Jager, Celeste A.

Preliminary Study of Plasma Exosomal Tau as a Potential Biomarker for Chronic Traumatic Encephalopathy – Openly Available
Stern, Robert A. | Tripodis, Yorghos | Baugh, Christine M. | Fritts, Nathan G. | Martin, Brett M. | Chaisson, Christine | Cantu, Robert C. | Joyce, James A. | Shah, Sahil | Ikezu, Tsuneya | Zhang, Jing | Gercel-Taylor, Cicek | Taylor, Douglas D

AZD3293: A Novel, Orally Active BACE1 Inhibitor with High Potency and Permeability and Markedly Slow Off-Rate Kinetics – Openly Available
Eketjäll, Susanna | Janson, Juliette | Kaspersson, Karin | Bogstedt, Anna | Jeppsson, Fredrik | Fälting, Johanna | Haeberlein, Samantha Budd | Kugler, Alan R. | Alexander, Robert C. | Cebers, Gvido

Predictive Value of Cerebrospinal Fluid Visinin-Like Protein-1 Levels for Alzheimer’s Disease Early Detection and Differential Diagnosis in Patients with Mild Cognitive Impairment
Babić Leko, Mirjana | Borovečki, Fran | Dejanović, Nenad | Hof, Patrick R. | Šimić, Goran

Plasma Phospholipid and Sphingolipid Alterations in Presenilin1 Mutation Carriers: A Pilot Study
Chatterjee, Pratishtha | Lim, Wei L.F. | Shui, Guanghou | Gupta, Veer B. | James, Ian | …… | Wenk, Marcus R. | Bateman, Randall J. | Morris, John C. | Martins, Ralph N.

Cognitive reserve in ageing and Alzheimer’s disease / Stern Y / Lancet Neurol. 2012 Nov; 11(11):1006-12. PMID: 23079557.

A mutation in APP protects against Alzheimer’s disease and age-related cognitive decline/ Jonsson T, Atwal JK, Steinberg S, Snaedal J, Jonsson PV, Bjornsson S, Stefansson H, Sulem P, Gudbjartsson D, Maloney J, et al. / Nature. 2012 Aug 2; 488(7409):96-9. PMID: 22801501.

 Propagation of tau pathology in a model of early Alzheimer’s disease / de Calignon A, Polydoro M, Suárez-Calvet M, William C, Adamowicz DH, Kopeikina KJ, Pitstick R, Sahara N, Ashe KH, Carlson GA, et al. / Neuron. 2012 Feb 23; 73(4):685-97. PMID: 22365544.

Stages of the pathologic process in Alzheimer disease: age categories from 1 to 100 years/ Braak H, Thal DR, Ghebremedhin E, Del Tredici K / J Neuropathol Exp Neurol. 2011 Nov; 70(11):960-9. PMID: 22002422.

Neuroinflammation in Alzheimer’s disease and mild cognitive impairment: a field in its infancy / McGeer EG, McGeer PL / J Alzheimers Dis. 2010; 19(1):355-61. PMID: 20061650.

Metallothioneins in Prion- and Amyloid-Related Diseases

MICROGLIA

Microglia are the immune cells of the CNS and account for approximately 10% of the CNS cellpopulation, with regional variation in density [27, 28]. During embryonic development, microglia originate from yolk sac progenitor cells that migrate into the developing CNS during early embryogenesis [29,30].Following construction of the blood-brain barrier (BBB), microglia are renewed by local turnover [31]. In the healthy brain, microglia actively support neurons through the release of insulin-like growth factor 1, nerve growth factor, ciliary neurotrophic factor, and brain-derived neurotrophic factor (BDNF) [32–34]. Microglia also provide indirect support to neurons by clearance of debris to maintain the extracellular environment, and phagocytosis of apoptotic cells to facilitate neurogenesis [35, 36]. In the adult brain, microglia coordinate much of their activity with astrocytes and activate in response to similar stimuli [37, 38]. Dysfunctional signaling between microglia and astrocytes often results in chronic inflammation, a characteristic of many neurodegenerative diseases [39, 40].

Historically, it has been thought that microglia ‘rest’ when not responding to inflammatory stimuli or damage [41, 42]. However, this notion is being increasingly recognized as inaccurate [43]. When not involved in active inflammatory signaling, microglia constantly patrol the neuropil by extension and retraction of their finely branched processes [44]. Microglial activation is often broadly classified into two states; pro-inflammatory (M1) or anti-inflammatory (M2) [36, 45], based on similar phenotypes in peripheral macrophages [46]. M1 activated microglia are characterized by increased expression of pro-inflammatory mediators and cytokines, including inducible nitric oxide synthase, tumor necrosis factor-α, and interleukin-1β, often under the control of the transcription factor nuclear factor-κB [45]. Pro-inflammatory microglia rapidly retract their processes and adopt an amoeboid morphology and often migrate closer to the site of injury [47]. Anti-inflammatory M2 activation of microglia, often referred to as alternative activation, represents the other side of microglial behavior. Anti-inflammatory activation is characterized by increased expression of cytokines including arginase 1 and interleukin-10, and is associated with increased ramification of processes [45]. The polarization of microglia into M1 or M2 throughout the brain is well characterized, especially in neurodegenerative diseases [48]. In the AD brain, microglia expressing markers of M1 activation are typically localized to brain regions such as the hippocampus that are most heavily affected in the disease [49]. However, it is important to note that M1 and M2 classifications of microglia may over-simplify microglial phenotypes and may only represent the extremes of microglial activation [50]. It has been more recently proposed that microglia likely occupy a continuum between these phenotypes [39, 51].

Do microglia have multiple roles in AD?

Classical pro-inflammatory activation of microglia has long been associated with AD [39, 49]. Samples taken from late-stage AD brains contain characteristic signs of inflammation, including amoeboid morphology of microglia, high levels of pro-inflammatory cytokines in the cerebrospinal fluid, and evidence of neuronal damage due to chronic exposure to pro-inflammatory cytokines and oxidative stress [52, 53]. The cause of this inflammation may be in response to direct toxicity of Aβ to neurons resulting in activation of nearby microglia and astrocytes [53, 54]. However, Aβ may also induce inflammatory activation of microglia and astrocytes. Activated immune cells are typically present surrounding amyloid plaques [55–57], with such peri-plaque cells exhibiting strong evidence of pro-inflammatory activation [56, 58–60]. The presence of undigested Aβ particles within these activated microglia may suggest that the Aβ peptide itself is a pro-inflammatory signal for microglia [61–64]. In vitro experiments provide supporting evidence for the in vivo studies, with Aβ promoting pro-inflammatory microglial activation [65, 66], and also acting as a potent chemotactic signal [67].

However, it is important to note that although widespread inflammation is characteristic of late-stage AD, it remains unclear what role inflammation could play in early stages of the disease. Some evidence suggests that reducing inflammation through the long-term use of some non-steroidal anti-inflammatory drugs (NSAIDs) can reduce the risk of AD [68]. However, these findings have not yet been verified in clinical trials [69, 70]. Little is understood about how NSAIDs and related compounds affect the delicate balance of pro- versus anti-inflammatory microglial activity within the brain. Although there is considerable evidence to suggest that chronic inflammation may contribute to pathology in the later stages of AD, it is important to note that inflammation normally only represents a small aspect of microglial function. The non-inflammatory functions of microglia may play a more important role in early disease; specifically, microglial functions relating to maintenance of the CNS.

Phagocytosis: A vital role of microglia that may be lost in AD    

SYNAPTIC PRUNING: MICROGLIA CAN REGULATE NETWORK ACTIVITY

Recently, a new function has been proposed for microglia. A number of studies have provided evidence that microglia prune synapses throughout life. Microglia are known to remove extraneous synapses during development to ensure that only meaningful connections remain [43]. It was, however, thought that differentiated astrocytes performed the majority of synaptic pruning in the adult brain [91]. The discovery that microglial processes are constantly active within the brain and are often positioned near synapses raised the question of whether microglial synaptic pruning continued throughout life [44, 47, 92–94]. This question was answered in 2014 in a study that demonstrated that microglia do prune synapses into adulthood, and that this activity is important for normal brain function [95]. These findings supported those found a year earlier in a study reporting that ablation of microglia from brain slices increases synapse density and results in abnormal firing of hippocampalneurons [96].

Altered microglial behavior may underlie altered neuronal firing in AD  

Altered neuronal activity is an early phenomenon in AD

The cause of DMN hypoactivity in AD is not yet clear; however studies performed in cohorts that are genetically predisposed to AD suggest that DMN hypoactivity is preceded by a period of hyperactivity and increased functional connectivity [123, 136], often manifesting as an absence of normal DMN deactivation during external tasks [137–140]. DMN hyperactivity may interfere with hippocampal memory encoding, leading to the memory deficits that are present in mild cognitive impairment [141, 142]. It has been proposed that hippocampal hyperexcitability in AD may develop as a protective mechanism against increased input from the DMN [142–144]. As AD progresses, the initial hyperexcitability of the DMN and hippocampus may result in hypoactivity due to exhaustion of compensatory mechanisms [123, 136]. Evidence from both transgenic AD mice and longitudinal human studies supports an exhaustion model of hyperactivation leading to later hypoactivation [143, 145–147]. Interestingly, a number of studies report a lower incidence of AD among those who regularly practice meditation which specifically ‘calms’ the DMN [148].

Our understanding of AD as a disease is changing. Historically considered to be primarily a disease of neuronal degeneration, this neurocentric view has widened to encompass non-neuronal cells such as astrocytes into our understanding of the disease process and pathogenesis. A proposed model for microglia in AD is shown in Fig. 2. Microglia perform a wide range of functions in the CNS and although this includes induction of an inflammatory reaction in response to damage, they also have critical roles for maintaining normal function in the brain. Recent evidence shows that microglia regulate neuronal activity through synaptic pruning throughout life as an extension on their normal phagocytosis behavior. The discovery of a large number of AD risk genes associated with reduced immune cell function suggests that perturbed microglial phagocytosis could lead to AD. In our model, altered microglial phagocytosis of synapses results in network dysfunction and onset of AD, occurring downstream of Aβ.

The immune system and microglia represent a novel target for intervention in AD. Importantly, a large number of anti-inflammatory drugs are already in use for other conditions. What is important to know at this stage is exactly how to best target immune cell function. The studies outlined here provide evidence that an indiscriminate dampening down of all microglial activity may result in a worse outcome for individuals by suppressing normal microglial regulatory functions. We currently do not know whether future microglial-based therapies should focus on reducing chronic inflammation or conversely, whether they should be aimed at boosting microglial phagocytosis. It is also likely that future treatment strategies may use a combination of approaches to target Aβ, immune cell phagocytosis and network activity. An increasing view in the AD field is that any drug or therapy needs to be provided very early in the disease process to maximize its beneficial effects. Although we are currently unable to effectively target those at risk of AD at such an early stage, advances in neuroimaging for subtle changes in network activity, or in assays for immune cell function, may provide new avenues for identification of early damage and risk of disease.

REFERENCES

[1]

Selkoe DJ ((2011) ) Alzheimer’s disease. Cold Spring Harb Perspect Biol 3: , pii: a004457.

[2]

Masters CL , Simms G , Weinman NA , Multhaup G , McDonald BL , Beyreuther K ((1985) ) Amyloid plaque core protein in Alzheimer disease and Down syndrome. Proc Natl Acad Sci U S A 82: , 4245–4249.

[3]

Glenner GG , Wong CW ((1984) ) Alzheimer’s disease: Initial report of the purification and characterization of a novel cerebrovascular amyloid protein. Biochem Biophys Res Commun 120: , 885–890.

[4]

Goldgaber D , Lerman MI , McBride OW , Saffiotti U , Gajdusek DC ((1987) ) Characterization and chromosomal localization of a cDNA encoding brain amyloid of Alzheimer’s disease. Science 235: , 877–880.

[5]

Kang J , Lemaire HG , Unterbeck A , Salbaum JM , Masters CL , Grzeschik KH , Multhaup G , Beyreuther K , Muller-Hill B ((1987) ) The precursor of Alzheimer’s disease amyloid A4 protein resembles a cell-surface receptor. Nature 325: , 733–736.

[6]

Robakis NK , Ramakrishna N , Wolfe G , Wisniewski HM ((1987) ) Molecular cloning and characterization of a cDNA encoding the cerebrovascular and the neuritic plaque amyloid peptides. Proc Natl Acad Sci U S A 84: , 4190–4194.

[7]

Levy E , Carman MD , Fernandez-Madrid IJ , Power MD , Lieberburg I , van Duinen SG , Bots GT , Luyendijk W , Frangione B ((1990) ) Mutation of the Alzheimer’s disease amyloid gene in hereditary cerebral hemorrhage, Dutch type. Science 248: , 1124–1126.

[8]

Levy-Lahad E , Wasco W , Poorkaj P , Romano DM , Oshima J , Pettingell WH , Yu CE , Jondro PD , Schmidt SD , Wang K , et al ((1995) ) Candidate gene for the chromosome 1 familial Alzheimer’s disease locus. Science 269: , 973–977.

[9]

Rogaev EI , Sherrington R , Rogaeva EA , Levesque G , Ikeda M , Liang Y , Chi H , Lin C , Holman K , Tsuda T , et al ((1995) ) Familial Alzheimer’s disease in kindreds with missense mutations in a gene on chromosome 1 related to the Alzheimer’s disease type 3 gene. Nature 376: , 775–778.

[10]

Sherrington R , Rogaev EI , Liang Y , Rogaeva EA , Levesque G , Ikeda M , Chi H , Lin C , Li G , Holman K , Tsuda T , Mar L , Foncin JF , Bruni AC , Montesi MP , Sorbi S , Rainero I , Pinessi L , Nee L , Chumakov I , Pollen D , Brookes A , Sanseau P , Polinsky RJ , Wasco W , Da Silva HA , Haines JL , Perkicak-Vance MA , Tanzi RE , Roses AD , Fraser PE , Rommens JM , St George-Hyslop PH ((1995) ) Cloning of a gene bearing missense mutations in early-onset familial Alzheimer’s disease. Nature 375: , 754–760.

 

Late-Onset Metachromatic Leukodystrophy with Early Onset Dementia Associated with a Novel Missense Mutation in the Arylsulfatase A Gene

Microbes and Alzheimer’s Disease – Openly Available
Itzhaki, Ruth F. | Lathe, Richard | Balin, Brian J. | Ball, Melvyn J. | Bearer, Elaine L. | Braak, Heiko | Bullido, Maria J. | Carter, Chris | Clerici, Mario | Cosby, S. Louise | Del Tredici, Kelly | Field, Hugh | Fulop, Tamas | Grassi, Claudio | Griffin, W. Sue T. | Haas, Jürgen | Hudson, Alan P. | Kamer, Angela R. | Kell, Douglas B. | Licastro, Federico | Letenneur, Luc | Lövheim, Hugo | Mancuso, Roberta | Miklossy, Judith | Otth, Carola | Palamara, Anna Teresa | Perry, George | Preston, Christopher | Pretorius, Etheresia | Strandberg, Timo | Tabet, Naji | Taylor-Robinson, Simon D. | Whittum-Hudson, Judith A.

Longitudinal Relationships between Caloric Expenditure and Gray Matter in the Cardiovascular Health Study – Openly Available
Raji, Cyrus A. | Merrill, David A. | Eyre, Harris | Mallam, Sravya | Torosyan, Nare | Erickson, Kirk I. | Lopez, Oscar L. | Becker, James T. | Carmichael, Owen T. | Gach, H. Michael | Thompson, Paul M. | Longstreth Jr., W.T. | Kuller, Lewis H.

Preliminary Study of Plasma Exosomal Tau as a Potential Biomarker for Chronic Traumatic Encephalopathy – Openly Available
Stern, Robert A. | Tripodis, Yorghos | Baugh, Christine M. | Fritts, Nathan G. | Martin, Brett M. | Chaisson, Christine | Cantu, Robert C. | Joyce, James A. | Shah, Sahil | Ikezu, Tsuneya | Zhang, Jing | Gercel-Taylor, Cicek | Taylor, Douglas D.

Unraveling Alzheimer’s: Making Sense of the Relationship between Diabetes and Alzheimer’s Disease1 – Openly Available
Schilling, Melissa A.

Pain Assessment in Elderly with Behavioral and Psychological Symptoms of Dementia –Openly Available
Malara, Alba | De Biase, Giuseppe Andrea | Bettarini, Francesco | Ceravolo, Francesco | Di Cello, Serena | Garo, Michele | Praino, Francesco | Settembrini, Vincenzo | Sgrò, Giovanni | Spadea, Fausto | Rispoli, Vincenzo

Editor’s Choice from Volume 50, Number 4 / 2016

Post Hoc Analyses of ApoE Genotype-Defined Subgroups in Clinical Trials
Kennedy, Richard E. | Cutter, Gary R. | Wang, Guoqiao | Schneider, Lon S.

Protective Effect of Amyloid-β Peptides Against Herpes Simplex Virus-1 Infection in a Neuronal Cell Culture Model
Bourgade, Karine | Le Page, Aurélie | Bocti, Christian | Witkowski, Jacek M. | Dupuis, Gilles | Frost, Eric H. | Fülöp, Tamás

Association Between Serum Ceruloplasmin Specific Activity and Risk of Alzheimer’s Disease
Siotto, Mariacristina | Simonelli, Ilaria | Pasqualetti, Patrizio | Mariani, Stefania | Caprara, Deborah | Bucossi, Serena | Ventriglia, Mariacarla | Molinario, Rossana | Antenucci, Mirca | Rongioletti, Mauro | Rossini, Paolo Maria | Squitti, Rosanna

Effects of Hypertension and Anti-Hypertensive Treatment on Amyloid-β (Aβ) Plaque Load and Aβ-Synthesizing and Aβ-Degrading Enzymes in Frontal Cortex
Ashby, Emma L. | Miners, James S. | Kehoe , Patrick G. | Love, Seth

AZD3293: A Novel, Orally Active BACE1 Inhibitor with High Potency and Permeability and Markedly Slow Off-Rate Kinetics – Openly Available
Eketjäll, Susanna | Janson, Juliette | Kaspersson, Karin | Bogstedt, Anna | Jeppsson, Fredrik | Fälting, Johannad | Haeberlein, Samantha Budd | Kugler, Alan R. | Alexander, Robert C. | Cebers, Gvido

Read Full Post »

« Newer Posts - Older Posts »