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Archive for the ‘Alzheimer’s Disease’ Category

TyrNovo’s Novel and Unique Compound, named NT219, selectively Inhibits the process of Aging and Neurodegenerative Diseases, without affecting Lifespan

Reporter: Aviva Lev-Ari, PhD, RN

A step toward development of drugs for diseases such as Alzheimer’s, Parkinson’s and Huntington’s

December 3, 2013

 

Jerusalem – A successful joint collaboration between researchers at The Hebrew university of Jerusalem and the startup company TyrNovo may lead to a potential treatment of brain diseases. The researchers found that TyrNovo’s novel and unique compound, named NT219, selectively inhibits the process of aging in order to protect the brain from neurodegenerative diseases, without affecting lifespan. This is a first and important step towards the development of future drugs for the treatment of various neurodegenerative maladies.
Human neurodegenerative diseases such as Alzheimer’s, Parkinson’s andHuntington’s diseases share two key features: they stem from toxic proteinaggregation and emerge late in life. The common temporal emergence pattern exhibited by these maladies proposes that the aging process negatively regulates protective mechanisms that prevent their manifestation early in life, exposing the elderly to disease. This idea has been the major focus of the work in the laboratory of Dr. Ehud Cohen of the Department of Biochemistry and Molecular Biology, at The Hebrew University of Jerusalem‘s Faculty of Medicine.
Dr. Cohen’s first breakthrough in this area occurred when he discovered, working with Dr. Ehud Cohenworms, that reducing the activity of the signaling mechanism conveyed through insulin and the growth hormone IGF1, a major aging regulating pathway, constituted a defense against the aggregation of the Aβ protein which is mechanistically-linked with Alzheimer’s disease. Later, he found that the inhibition of this signaling route also protected Alzheimer’s-model mice from behavioral impairments and pathological phenomena typical to the disease. In these studies, the path was reduced through genetic manipulation, a method not applicable in humans.
Dr. Hadas Reuveni, the CEO of TyrNovo, a startup company formed for the clinical development of NT219, and Professor Alexander Levitzki from the Department of Biological Chemistry at The Hebrew University, with their research teams, discovered a new set of compounds that inhibit the activity of the IGF1 signaling cascade in a unique and efficient mechanism, primarily for cancer treatment, and defined NT219 as the leading compound for further development.
Now, in a fruitful collaboration Dr. Cohen and Dr. Reuveni, together with Dr. Cohen’s associates Tayir El-Ami and Lorna Moll, have demonstrated that NT219 efficiently inhibits IGF1 signaling, in both worms and human cells. The inhibition of this signaling pathway by NT219 protected worms from toxic protein aggregation that in humans is associated with the development of Alzheimer’s or Huntington’s disease.
The discoveries achieved during this project, which was funded by the Rosetrees Trust of Britain, were published this week in the journal Aging Cell (“A novel inhibitor of the insulin/IGF signaling pathway protects from age-onset, neurodegeneration-linked proteotoxicity”). The findings strengthen the notion that the inhibition of the IGF1 signaling pathway has a therapeutic potential as a treatment for neurodegenerative disorders. They also point at NT219 as the first compound that provides protection from neurodegeneration-associated toxic protein aggregation through a selective manipulation of aging.
Cohen, Reuveni and Levitzki have filed a patent application that protects the use of NT219 as a treatment for neurodegenerative maladies through Yissum, the technology transfer company of The Hebrew University. Dr. Gil Pogozelich, chairman of Goldman Hirsh Partners Ltd., which holds the controlling interest in TyrNovo, says that he sees great importance in the cooperation on this project with The Hebrew University, and that TyrNovo represents a good example of how scientific and research initiatives can further health care together with economic benefits.
Recently, Dr. Cohen’s laboratory obtained an ethical approval to test the therapeutic efficiency of NT219 as a treatment in Alzheimer’s-model mice, hoping to develop a future treatment for hitherto incurable neurodegenerative disorders.
SOURCE

 

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Larry H Bernstein, MD, FCAP, reporter and curator

htto://pharmaceuticalintelligence.com/2013-12-07/larryhbern/Advances-in-Stem-Cell-Research

The amount of success in stem cell research and recent successes is notable.

GEN News  Dec 5, 2013
Stem Cell Leaders Call for Human Embryome Project

Just as an international consortium was formed to map and sequence the human genome, now a group of stem cell and regenerative medicine scientists say it’s critical that such an effort be ramped up to do a similar project focused on the human embryome.

This was the key message of a panel discussion, “From Mapping the Genome to Mapping the Embryome: The Urgent Need for an International Initiative,” moderated by Michael West, Ph.D., CEO of Biotime. It took place at the World Stem Cell Summit, which is taking place this week in San Diego.

“It is becoming increasingly clear in regenerative medicine that pluripotent stem cells, embryonic stem cells, and IPs cells will be as fundamentally important to medicine as was DNA. Maybe even bigger because you can genetically engineer these cells,” said Dr. West.

Dr. West and his colleagues adamantly believe that there needs to be a large international effort aimed at mapping the cellular and molecular basis of all human life starting with the fertilized egg and working its way up to the body of the adult. This is what it is termed the embryome.

“The opportunity presented by pluripotent stem cells to manufacture for the first time in the history of medicine all of the cellular components of the human body on an industrial scale is at once both an opportunity and a challenge,” said Dr. West. “The opportunity is to build a new field we call regenerative medicine in which many currently incurable diseases are treated with cells capable of regenerating tissues afflicted with disease. The challenge relates to the complexity of the cell types in the body and our ability to manufacture products with precisely defined compositions for human clinical use.”

Dr. West went on to say that to get these different types of stem cells into the clinic, and approved by the FDA, researchers will fully need to understand all aspects of the biology of these cells. An identification and understanding of any contaminating cells will also be essential to success in this field. The question to ask is “What is in the syringe?”

Unlike recombinant DNA, continued Dr. West, the contaminants in pluripotent stem cells are alive and may make things that are undesirable at the intended point of therapy. For example, you might have a bioreactor full of cells that are making heart muscle to regenerate heart function in a patient. But you have to be careful that your cells are not contaminated with neural crest cells from the head area which could generate a tooth along with the heart muscle.

“These contaminants, if you do not remove them, can lead to years of delay in filing an IND and a runup in costs as you try to identify these cells,” explained Dr. West.

The major problem in identifying them, according to Dr. West, is that no one has ever mapped the molecular markers or even a rudimentary cell ontology tree, i.e., mapped out the tree from the fertilized egg to the cells of the human body.

“If [there were] a detailed map of all the cellular and molecular components of life from the fertilized egg to adulthood, and then databased in a manner to the information in the human genome, medicine would be the true beneficiary,” added Dr. West. “That’s why we have made this call for an international initiative.”

Also, watch our video “A Brief History of Stem Cells” to see a timeline spanning over 60 years of stem cell research.

Mary Ann Liebert Wins Stem Cell Education Award

Mary Ann Liebert, president and CEO of Mary Ann Liebert Inc., and publisher of GEN, was presented with the Stem Cell Education Award by the Genetics Policy Institute. The award was given during a ceremony at dinner which took place at the World Stem Cell Summit, which is being held in San Diego this week.

Liebert was cited for her outstanding “work in educating patients, researchers, and the broader stem cell community, and in raising the standard in medical research journalism.” Among the seventy journals the Liebert company publishes is the peer-reviewed Stem Cells and Development.

In her acceptance speech Liebert told the audience that she was extremely gratified in being so recognized and thanked the entire staff at her company for their dedication in helping to promote excellence in medical publishing.

In his introductory remarks during the award ceremony GEN’s long-time editor in chief John Sterling noted that Mary Ann always encourages her editors and writers “to inform, enlighten when they can, and educate as much as possible.”

Sterling added that while she started her company 33 years ago her vision for her publications remains the same: “to help advance our knowledge of science and medicine in the best ways possible.”

 

Neural Precursors “Cure MS” in Mice

During a session at the this week’s World Stem Cell Summit in San Diego, an international research team described an “astonishing” experiment in which a mouse model of multiple sclerosis was able to virtually totally recover and move normally after being transplanted with human neural precursor cells (hNPC). The scientists were able to show almost full recovery in the mice up to six months later.

The investigators, led by Jeanne Loring, Ph.D., from the Scripps Research Institute, included scientists from the University of California, Irvine and a group from Australia.

“Our goal was to demonstrate cell therapy for MS,” Dr. Loring told the audience.

According to Ronald Coleman, a graduate student working with Dr. Loring and who is at UC-Irvine, the team used mice infected with a neurotropic JHM variant of mouse hepatitis virus (JHMV) as a model for MS. They injected hNPCs derived from human pluripotent stem cells (hPSC) into the mice to explore treatment options for the disease.

The results were indeed astonishing, said Dr. Loring. Non-control mice were able to move about in a manner that can be described as consistent and long lasting. T-cell proliferation was reduced and T regulatory cell induction took place. The spinal cords of the mice not only did not undergo further demyelination but actually exhibited remyelination. The control mice dragged their legs around when they tried to move.

“The only problem was that the hNPCs themselves are not directly responsible for the cure. They are not even there when the mice start walking,” explained Dr. Loring. “Those cells are rejected after seven days and we start to see a therapeutic response in three weeks.”

Both Dr. Loring and Coleman believe that the hNPCs are secreting proteins, like cytokines, that do the actual repair work in the CNS of the mice.

“We identified a set of candidate proteins secreted by hNPCs and not by undifferentiated pluripotent stem cells,” continued Dr. Loring, who said the team plans to continue building on this initial research.

 

World Stem Cell Summit: December 4, 2013 Update

GEN is on the scene at the World Stem Cell Summit in San Diego. Here are some highlights from the conference so far:

Bernard Siegel, J.D., founder and co-chair of the World Stem Cell Summit (WSCS) and executive director of Genetics Policy Institute, today welcomed attendees of WSCS 2013, being held December 4–6, in San Diego, CA.

“Stem cell science represents, to those afflicted with chronic disease, a vehicle for modeling disease and therapeutic development,” states Siegel in World Stem Cell Report 2013, a supplement to Stem Cells and Development (2013;22;Suppl1). “The field is a true scientific revolution and reflects the transformative power of hope, a powerful engine for progress.”

“The future is here now,” says Mahendra Rao, M.D., Ph.D., director, NIH Center for Regenerative Medicine, who delivered a plenary keynote and moderated the plenary panel discussion, “How Stem Cells are Transforming Medicine.” Cell therapies have been used to treat people safely and effectively; the technical barriers have been addressed. The challenge now is to reduce the cost of manufacturing. To drive routine adoption of cell therapy it must be cost effective and must demonstrate more than incremental benefit, according to Dr. Rao.

Professor Teruo Okano, Ph.D., Tokyo Women’s Medical University, described his group’s Cell Sheet Tissue Engineering strategy that involves enzymatic membrane disruption during cell harvesting and growth of an autologous cell sheet for transplantation on an “intelligent surface” that reversibly changes properties from hydrophobic to hydrophilic with a reversible in temperature from 37°C to 20°C. Dr. Okano further described the development of an automatic tissue factory and thick tissue evaluation system for fully automated, industrialized GMP cell processing.

Andre Terzic, M.D., Ph.D., Center for Regenerative Medicine, Mayo Clinic, noted during the opening session of the WSCS that “the Mayo Clinic has embraced regenerative medicine as a strategy for the future of medicine,” and he described their blueprint for moving from knowledge to delivery of treatments and procedures. Education is a critical dimension of this process. Another important component, according to Dr. Terzic, is the Regenerative Medicine Biotrust, in which “the patient is the center of the solution” to develop combinations of diagnostics and therapeutics and conduct clinical trials.

Regardless of the outcomes of current or future clinical trials, “I would argue that we have already seen breakthroughs,” said Evan Snyder, Ph.D., Sanford-Burnham Medical Research Institute, as stem cells “have completely changed the way medicine thinks about disease and development.” They have led to new views on plasticity and regeneration and the development of different types of drug targets.

WSCS 2013 is organized by the Genetics Policy Institute (GPI), California Institute for Regenerative Medicine (CIRM), Institute for Integrated Cell-Material Sciences at Kyoto University (iCeMS), Mayo Clinic, Sanford-Burnham Medical Research Institute, and The Scripps Research Institute. Mary Ann Liebert, Inc. publishers and Genetic Engineering & Biotechnology News (GEN) are sponsors of the summit.

Drug Testing Should Be with Human iPS Cells
Fri, 12/06/2013 – drug discovery & development  (DDD)

Once established such neural stem cells can be used to continuously generate neurons for drug testing and disease modeling. Depicted is an immunofluorescence staining where proteins characteristic of neural stem cells are labeled with fluorescing antibodies (Nestin in green, Dach1 in red). (Source: Jerome Mertens / Uni Bonn)Once established such neural stem cells can be used to continuously generate neurons for drug testing and disease modeling. Depicted is an immunofluorescence staining where proteins characteristic of neural stem cells are labeled with fluorescing antibodies (Nestin in green, Dach1 in red). (Source: Jerome Mertens / Uni Bonn)Why do certain Alzheimer medications work in animal models but not in clinical trials in humans? A research team from the University of Bonn and the biomedical enterprise Life & Brain GmbH has been able to show that results of established test methods with animal models and cell lines used up until now can hardly be translated to the processes in the human brain. Drug testing should therefore be conducted with human nerve cells, conclude the scientists. The results are published by Cell Press in the journal Stem Cell Reports.

In the brains of Alzheimer’s patients, deposits form that consist essentially of beta-amyloid and are harmful to nerve cells. Scientists are therefore searching for pharmaceutical compounds that prevent the formation of these dangerous aggregates. In animal models, certain non-steroidal anti-inflammatory drugs (NSAIDs) were found to a reduced formation of harmful beta-amyloid variants. Yet, in subsequent clinical studies, these NSAIDs failed to elicit any beneficial effects.

“The reasons for these negative results have remained unclear for a long time”, said Oliver Brüstle, director of the Institute for Reconstructive Neurobiology of the University of Bonn and CEO of Life & Brain GmbH. “Remarkably, these compounds were never tested directly on the actual target cells—the human neuron”, added lead author Jerome Mertens of Brüstle’s team, who now works at the Laboratory of Genetics in La Jolla (USA). This is because, so far, living human neurons have been extremely difficult to obtain. However, with the recent advances in stem cell research it has become possible to derive limitless numbers of brain cells from a small skin biopsy or other adult cell types.

Scientists transform skin cells into nerve cells

Now a research team from the Institute for Reconstructive Neurobiology and the Department of Neurology of the Bonn University Medical Center together with colleagues from the Life & Brain GmbH and the University of Leuven (Belgium) has obtained such nerve cells from humans. The researchers used skin cells from two patients with a familial form of Alzheimer’s Disease to produce so-called induced pluripotent stem cells (iPS cells), by reprogramming the body’s cells into a quasi-embryonic stage. They then transformed the resulting iPS cells into nerve cells.

Using these human neurons, the scientists tested several compounds in the group of NSAIDs. As control, the researchers used nerve cells they had obtained from iPS cells of donors who did not have the disease. Both in the nerve cells obtained from the Alzheimer’s patients and in the control cells, the NSAIDs that had previously tested positive in the animal models and cell lines typically used for drug screening had practically no effect: The values for the harmful beta-amyloid variants that form the feared aggregates in the brain remained unaffected when the cells were treated with clinically relevant dosages of these compounds.

Metabolic processes in animal models differ from humans

“In order to predict the efficacy of Alzheimer drugs, such tests have to be performed directly on the affected human nerve cells”, concluded Brüstle’s colleague Philipp Koch, who led the study. Why do NSAIDs decrease the risk of aggregate formation in animal experiments and cell lines but not in human neurons? The scientists explain this with differences in metabolic processes between these different cell types. “The results are simply not transferable”, says Koch.

The scientists now hope that in the future, testing of potential drugs for the treatment of Alzheimer’s disease will be increasingly conducted using neurons obtained from iPS cells of patients. “The development of a single drug takes an average of ten years”, said Brüstle. “By using patient-specific nerve cells as a test system, investments by pharmaceutical companies and the tedious search for urgently needed Alzheimer medications could be greatly streamlined”.

Date: November 6, 2013
Source: University of Bonn

 

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Hebrew University’s Professor Haim Sompolinsky and Columbia University Prof. Larry Abbott Win First New $100,000 Mathematical Neuroscience Prize

 
Curator: Aviva Lev-Ari, PhD, RN

Article ID #84: Mathematical Neuroscience Prize goes to Hebrew University’s Professor Haim Sompolinsky and Columbia University Prof. Larry Abbott. Published on 11/2/2013

WordCloud Image Produced by Adam Tubman

Professor Haim Sompolinsky of The Hebrew University of Jerusalem has been awarded the 1st Annual Mathematical Neuroscience Prize by Israel Brain Technologies (IBT), a non-profit organization committed to advancing Israel’s neurotechnology industry and establishing the country as a global hub of brain technology innovation.

Professor Sompolinsky, who pioneered the field of computational neuroscience, is the William N. Skirball Professor of Neuroscience at The Hebrew University’s Edmond and Lily Safra Center for Brain Sciences (ELSC).

ELSC is one of the most ambitious neuroscience centers in the world, providing a multi-disciplinary environment where theorists, computer scientists, cognitive psychologists and biologists collaborate to revolutionize brain science.

IBT’s $100,000 Mathematical Neuroscience Prize, awarded at the 1st annual BrainTech Israel 2013 Conference in Tel Aviv, honors researchers worldwide who have significantly advanced our understanding of the neural mechanisms of perception, behavior and thought through the application of mathematical analysis and theoretical modeling.

Professor Sompolinsky specializes in building mathematical models that describe the collective behavior and the informational processing in neural circuits in the brain. The principles that emerge from Professor Sompolinsky’s work contribute to our understanding of the system-wide failures that take place in brain diseases, from epilepsy to psychiatric disorders.

According to Sompolinsky, “Computational neuroscience is a vibrant and ambitious field that uses mathematical theories and models to cope with the most daunting challenges — from answering fundamental questions about the brain and its relation to the mind to answering questions posed by the quest to heal the brain’s debilitating diseases.”

Also winning a $100,000 Mathematical Neuroscience Prize was Professor Larry Abbott, Bloor Professor of Theoretical Neuroscience at Columbia University, who developed models ranging from the level of neurons and synapses to large-scale networks, and showed how plasticity mechanisms that change the properties of neural circuits can maintain their proper operation and allow them to change during the learning process.

Nobel Laureate Professor Bert Sakmann, inaugural Scientific Director of the Max Planck Florida Institute, presented the awards at the conference. “This prize honors the founders of mathematical neuroscience, and is a milestone because it gives due recognition to this field,” said Sakmann.

“This prize recognizes leaders in the important field of mathematical neuroscience, whose advances support our ultimate quest to find new solutions for the betterment of all humankind,” said Miri Polachek, Executive Director of IBT.

In the future, the Prize Selection Committee will consist of previous prize winners, including Sompolinsky and Abbott.

IBT’s BrainTech Israel 2013 Conference is exploring developments in brain technology and their commercialization through a “meeting of the minds” among government leaders, entrepreneurs, researchers, leading companies and investors from Israel and around the world.

Inspired by the vision of Israeli President Shimon Peres and building on Israel’s position as a global technology powerhouse, IBT aims to make Israel both the “Startup Nation” and the “Brain Nation.”  IBT is also focused on increasing collaboration between the Israeli neurotechnology ecosystem and its counterparts around the world. IBT is led by a team of technology entrepreneurs and life science professionals and is advised by a panel of renowned academic, industry and public sector representatives including two Nobel Prize Laureates.

 SOURCE

From: AFHU <AFHU@mail.vresp.com>
Date: Tue, 15 Oct 2013 18:04:16 +0000
To: <avivalev-ari@alum.berkeley.edu>

Download CV

please use the above link to download a PDF copy of my CV

Professor of Physics, Racah Institute of Physics
William N. Skirball Professor of Neuroscience
The Interdisciplinary Center for Neural Computation
The Edmond and Lily Safra Center for Brain Sciences
The Hebrew University
Jerusalem, 91904, Israel
(t) 972-2-658-4563; (f) 972-2-658-4440
haim@fiz.huji.ac.il

Personal Information
Born:  Copenhagen, Denmark, 1949
Israeli citizen: 1951
Married with five children

RESEARCH:

Sompolinsky’s research goal is to uncover the fundamental principles of the organization, the dynamics and the function of the brain, viewing the brain through multiscale lenses, spanning the molecular, the cellular, and the circuit levels. To achieve this goal, Sompolinsky has developed new theoretical approaches to computational neuroscience based on the principles and methods of statistical physics, and physics of dynamical and stochastic systems. This new field, Neurophysics, builds in part on Sompolinsky’s earlier work on critical phenomena, random systems, spin glasses, and chaos. His research areas cover theoretical and computational investigations of cortical dynamics, sensory processing, motor control, neuronal population coding, long and short-term memory, and neural learning. The highlights of his research include theories and models of local cortical circuits, visual cortex, associative memory, statistical mechanics of learning, chaos and excitation-inhibition balance in neuronal networks, principles of neural population codes, statistical mechanics of compressed sensing and sparse coding in neuronal systems, and the Tempotron model of spike time based neural learning. He also studies the neuronal mechanisms of volition and the impact of physics and neuroscience on the foundations of human freedom and agency.

http://elsc.huji.ac.il/sompolinsky/biocv

ELSC VIDEOS

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http://elsc.huji.ac.il/sompolinsky/biocv

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Israeli, US Profs win 1st annual Mathematical Neuroscience Prize

$100,000 prizes awarded for outstanding work in human brain modeling at BrainTech Israel 2013 Conference in Tel Aviv.

From left, Nobel Laureate Prof. Bert Sakmann; Hebrew University of Jerusalem Prof. Haim Sompolinsky; Columbia University Prof. Larry Abbott; and Dr. Rafi Gidron, founder and chairman of Israel Brain Technologies, at BrainTech Israel 2013. Sompolinsky won IBT’s inaugural Mathematical Neuroscience Prize.From left, Nobel Laureate Prof. Bert Sakmann; Hebrew University of Jerusalem Prof. Haim Sompolinsky; Columbia University Prof. Larry Abbott; and Dr. Rafi Gidron, founder and chairman of Israel Brain Technologies, at BrainTech Israel 2013. Sompolinsky won IBT’s inaugural Mathematical Neuroscience Prize.

Hebrew University of Jerusalem Prof. Haim Sompolinsky and Columbia University Prof. Larry Abbott are the winners of the 1st Annual Mathematical Neuroscience Prize by Israel Brain Technologies (IBT). The two $100,000 prizes were awarded at the 1st annual BrainTech Israel 2013 Conference in Tel Aviv.

Prof. Haim Sompolinsky (photo: Hebrew University)

IBT’s Mathematical Neuroscience Prize honors researchers worldwide who have significantly advanced our understanding of the neural mechanisms of perception, behavior and thought through the application of mathematical analysis and theoretical modeling.

Prof. Sompolinsky is considered a pioneer in the field of computational neuroscience. He specializes in building mathematical models that describe the collective behavior and the informational processing in neural circuits in the brain. His work helps researchers understand the system-wide failures that take place in brain diseases, from epilepsy to psychiatric disorders.

“Computational neuroscience is a vibrant and ambitious field that uses mathematical theories and models to cope with the most daunting challenges – from answering fundamental questions about the brain and its relation to the mind to answering questions posed by the quest to heal the brain’s debilitating diseases,” said Sompolinsky.

Meanwhile, Prof. Abbott won for showing how plasticity mechanisms that change the properties of neural circuits can maintain their proper operation and allow them to change during the learning process.

Inspired by the vision of Israeli President Shimon Peres, IBT was set up to advance Israel’s neurotechnology industry and establish the country as a global hub of brain technology innovation.

“This prize recognizes leaders in the important field of mathematical neuroscience, whose advances support our ultimate quest to find new solutions for the betterment of all humankind,” said Miri Polachek, Executive Director of IBT.

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Notable Contributions to Regenerative Cardiology by Richard T. Lee – Part I

 

Author and Curator: Larry H Bernstein, MD, FCAP

and

Article Commissioner: Aviva Lev-Ari, PhD, RD

 

Introduction

This presentation is a two part discussion of selected articles of a large body of research from Dr. Richard T. Lee, at Harvard Medical School’s Lee Laboratory and Brigham & Womens Hospital.  This work is innovative in the field of stem cell research and myocardial regeneration.  It devolves the complex cellular processes that are involved in the management of a cell transforming from a progenitor to a functional cardiomyocyte.  The cell engineering involves investigating interactions between a cell placed into the layer derived from the interstitial layer between viable cardiomyocytes.  This is only possible from a through actionable knowledge of the mechanism involved in the transformation process, which has occupied the Lee Laboratory for many years.  Part II will cover the cellular mechanisms underlying the conceptual approach to cardiac myocyte regeneration.

The Lee Laboratory uses emerging biotechnologies to discover and design new approaches to cardiovascular diseases. A central theme of the laboratory is that merging bioengineering and molecular biology approaches can yield novel approaches. Thus, the Lee Laboratory works at this interface using a broad variety of techniques in genomics, imaging, nanotechnology, physiology, cell biology, and molecular biology. The approach is to understand problems and design solutions in the laboratory and then demonstrate the effectiveness of these solutions in vivo. Ongoing projects in the laboratory include studies of cardiac regeneration, diabetic vascular disease, wound healing, heart failure, and cardiac hypertrophy.

Richard T. Lee is Professor of Medicine at Harvard Medical School and lecturer in Biological Engineering at the Massachusetts Institute of Technology. He is a 1979 graduate of Harvard College in Biochemical Sciences and received his M.D. from Cornell University Medical College in 1983.  He went on to complete his residency in 1986 and cardiology fellowship in 1989, both at Brigham and Women’s Hospital in Boston, and he obtained post-doctoral training at MIT in Bioengineering.

Dr. Lee is certified by the American Board of Internal Medicine in cardiovascular disease and is a Fellow of the American College of Cardiology. He is Leader of the Cardiovascular Program of the Harvard Stem Cell Institute.  He is a member of the Editorial Boards of the journals Circulation Research, Journal of Clinical Investigation, and Circulation, and has published over 180 peer-reviewed articles based on his research, which combines approaches in biotechnology and molecular biology to discover new avenues to manage and treat heart disease.

Regeneration of the heart

Matthew L. Steinhauser, Richard T. Lee
Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, and (2)             Harvard Stem Cell Institute, Cambridge, MA
EMBO Mol Med 2011; 3: 701–712   http://dx.doi.org/10.1002/emmm.201100175

The death of cardiac myocytes diminishes the heart’s pump function and is a major cause of heart failure. With the exception of heart transplantation and implantation of mechanical ventricular assist devices, current therapies do not address the central problem of decreased pumping capacity owing to a depleted pool of cardiac myocytes. The field is evolving in two important directions. First, although endogenous mammalian cardiac regeneration clearly seems to decline rapidly after birth, it may still persist in adulthood. The careful elucidation of the cellular and molecular mechanisms of endogenous heart regeneration may therefore provide an opportunity for developing therapeutic interventions that amplify this process. Second, recent breakthroughs have enabled reprogramming of cells that were apparently terminally differentiated, either by dedifferentiation into pluripotent stem cells or by trans-differentiation into cardiac myocytes.
The longstanding paradigm held that the mammalian heart is a terminally differentiated organ, incapable of replenishing any myocyte attrition. During the past decade, however, studies revealed not only that mammalian cardiac myocytes retain some capacity for division (Beltrami et al, 2001), but also identified endogenous cardiac progenitor cells in the heart (Beltrami et al, 2003) or bone marrow (Orlic et al, 2001). These cells retain some potential for differentiation into the cellular components of the heart, including endothelial cells, smooth muscle cells and cardiac myocytes.
If progenitor cells residing in the adult are capable of producing new heart cells, the therapeutic delivery of such progenitors might facilitate the generation of de novo functional myocardium. In this context, cell-based therapies for the heart have been rapidly translated into the clinic to treat heart disease, but randomized clinical trials with bone marrow progenitors have shown at best modest improvements in ventricular function (Martin-Rendon et al, 2008). In short, the promise of complete cardiac regeneration has not yet been realized.  Therefore, it is worth revisiting both the foundations of cardiac regeneration and highlight recent advances that may portend future directions in the field.
We will first define the problem, that is elucidating the scope of endogenous mammalian regeneration and, by extension, the scale of the regenerative deficit. We will then summarize current regenerative approaches, including both cell-based therapies and pharmacoregenerative strategies. In this context, we will summarize the many challenges that stand in the way of cardiac regeneration, both endogenous repair processes and exogenous regenerative therapies.
The regenerative deficit of the mammalian heart is obvious when compared with organisms such as zebrafish and newts, which demonstrate a remarkable survival capacity after removal of up to 20% of the heart by transection of the ventricular apex. Pre-existing cardiac myocytes adjacent to the site appear to undergo a process of dedifferentiation, characterized by dissolution of sarcomeric structures. This is followed by incorporation of deoxyribonucleic acid (DNA) synthesis markers (e.g. nucleotide analogues) consistent with proliferation. Ultimately, newly generated cardiac myocytes are functionally integrated with the preexisting myocardium. The heart is left with little residual evidence of the injury, thus providing a natural example of complete myocardial regeneration.

Evidence for heart regeneration in mammals

During embryonic development and the early post-natal period, mice also demonstrate a remarkable regenerative capacity. Embryos heterozygous for a cardiac myocyte-specific null mutation in the x-linked holocytochrome c synthase (Hccs) gene demonstrate cardiac myocyte replacement during foetal development (Drenckhahn et al, 2008): when one of two X-chromosomes is randomly inactivated in each female somatic cell, approximately 50% of the cardiac myocytes are rendered Hccs-null and hence dysfunctional. Proliferative functional Hccs-expressing cardiac myocytes compensate for dysfunctional Hccs-null myocytes, such that, at birth, 90% of the heart is derived from myocytes containing one functional Hccs allele. However, after the first week in post-natal mice, injured myocardium is largely replaced by fibrosis and scarring.  Distinguishing whether the adult mammalian heart is incapable of cardiac myocyte replacement or whether it retains a low-level capacity for repair is therefore fundamentally important. This is the basis for an evolving view of a more plastic mammalian heart.
Arguments against the age old view of the terminally differentiated quiescent cardiac myocyte:

  1. evidence supporting cardiac myocyte plasticity relied on mathematical modelling of the myocyte population based on cytometric indices. (the measured average volume increase of cardiac myocytes was calculated to fall short of the increase predicted by the observed volumetric changes in the whole heart
  • changes in heart volume could not be explained by hypertrophy alone, and that cardiac myocyte hyperplasia contributed to changes in heart mass, but the conclusions relied on a number of assumptions about myocyte size and DNA content.
  • detecting cell cycle markers such as Ki67 or the incorporation of nucleotide analogues (e.g. iododeoxyuridine or 3H-thymidine) into newly synthesized DNA further support the notion that the mammalian heart may generate new myocytes
  • human cardiac myocytes can reenter the cell cycle, but the described rates of this phenomenon differ by more than one order of magnitude
  • experiments, made possible by nuclear arms testing in the middle of the 20th century, provide the most convincing evidence for post-natal human cardiac myocyte turnover.
  • the period of nuclear testing serves as a historical DNA labelling pulse, and the period after the test ban treaty serves as a chase.
  • the genomic DNA of cells generated during either the pulse or the chase reflect the earth’s atmospheric 14C concentration at that point in time, which allows investigators to date the age of cardiac myocytes by measuring the concentration of 14C in their nuclei
  1. Listed are a number of problems in detecting the generation of cardiac myocytes:
  • small errors may magnify projections of absolute yearly or lifetime myocyte turnover
  • mis-identification of cellular components by light microscopy
  • autofluorescence of myocardium, which complicates any method that relies on the detection of a fluorescent signal
  • confounders could also affect the 14C dating method, because it requires the isolation of cardiac myocyte nuclei by digestion and flow cytometric sorting

The heart also presents a unique challenge compared to other organs owing to the propensity of cardiac myocytes to synthesize DNA during S-phase without completing either mitosis and/or cytokinesis (Fig 1).

Figure 1. The majority of post-natal human DNA synthesis in the heart does not lead to new myocyte formation.

Cardiac myocytes can complete S-phase, followed by mitosis and cytokinesis (centre) resulting in myocyte doubling. Cardiac myocytes can also complete mitosis without cytokinesis (left), resulting in a binucleated cell. Cardiac myocytes can also undergo chromosomal replication without completing either mitosis or cytokinesis (right), resulting in polyploidy nuclei. By the completion of post-natal development, the majority of human myocyte nuclei contain ~4n chromosomal copies.

During early post-natal development, for example, the majority of rodent cardiac myocytes and an estimated 25–57% of human cardiac myocytes become binucleated. By adulthood, most cardiac myocyte nuclei have also become polyploid with at least one or two additional rounds of chromosomal replication.

The ploidy state of cardiac myocytes may increase with myocardial hypertrophy or injury, which could be mistaken for myocyte division. Conversely, hearts that have been unloaded by implantation of a ventricular assist device may have a lower percentage of polyploid myocytes, because more 2n cardiac myocytes are being generated. These aspects of cardiac myocyte biology inevitably represent potential confounders that must be considered in any quantification of cardiac myocyte formation.

Defining the cellular source of new cardiac myocytes

The majority of reports suggest some endogenous capacity for cardiac myocyte renewal, which has generated a broad focus on finding the cellular source of newly generated cardiac myocytes.  Newly generated adult mammalian cardiac myocytes may arise from an endogenous pool of progenitor cells after injury. The Lee Laboratory developed a genetic lineage mapping approach to quantify progenitor-dependent cardiac myocyte turnover (Fig 2) (Hsieh et al, 2007). In the bitransgenic MerCreMer/ZEG inducible cardiac myocyte reporter mouse, mature cardiac myocytes undergo an irreversible genetic switch from constitutive 3-galactosidase expression to green fluorescent protein (GFP) expression upon tamoxifen pulse. During a chase period, we evaluated the effect of myocardial injury on the proportion of GFP+ or 3-gal+ cardiac myocytes. Pressure overload or myocardial infarction resulted in a significant reduction in the percentage of GFP+ cardiac myocytes and a corresponding increase in the percentage of B-gal+ cardiac myocytes, consistent with repletion of the myocyte pool by B-gal— expressing progenitors. This approach cannot directly identify the molecular identity or anatomic location of the progenitor pool.
One approach to characterizing the molecular phenotype of cardiac progenitors is to study cardiac embryologic develop-ment, guided by the assumption that developmental paradigms are recapitulated during post-natal repair. When examined through a developmental lens, an increasingly detailed picture emerges of the soluble and transcriptional signals that guide the cardiogenic programme from gastrulation (formation of distinct germ layers) through the ultimate maturation of cardiac myocytes. The induction of mesoderm posterior (MESP)-1 expression by brachyury-expressing primitive mesodermal cells is a proximal require¬ment for the ultimate production of differentiated heart cells. As the developing embryo grows beyond the germ layer phase, its developing heart receives cells from distinct anatomic progeni¬tor sources: the 1st and 2nd heart fields provide the majority of the myocardium, with some contribution from epicardial progenitors.
Also, Certain fields may be preferentially marked by specific transcription factors;

  • the first heart field by T-box transcription factor 5 (Tbx5)
  • the second heart field by
    • Lim-homeodomain protein Islet1 (Isl1)
    • and epicardial progenitors by Wilms tumour-1 (WT1) or
    • T-box transcription factor 18 (Tbx18)
    • identified by embryonic lineage tracing or analysis of gene silencing include
      • homeobox protein nkx2.5
      • myocyte enhancer factor 2C (Mef2c)
      • GATA4
      • there is no consensus yet about the molecular identity of post-natal mammalian cardiac progenitor cells or ‘adult cardiac stem cells’

Figure 2. Lineage-mapping in the adult heart.

Left: Theoretical progenitor lineage-mapping is depicted. Progenitors would be selectively marked by fluorescent protein expression. After injury, the appearance of fluorescently labelled cardiac myocytes would support the concept that these progenitors were contributing to new myocyte formation. Right: Differentiated cell (cardiac myocyte) lineage-mapping. Upon treatment of the MerCreMer-ZEG mouse with OH-tamoxifen, approximately 80% of the cardiac myocytes undergo a permanent switch from I3-galactosidase to GFP expression. The dilution of the GFPþ cardiac myocyte pool after injury is consistent with repletion by I3-galþ progenitors.

A number of laboratories have identified cell populations within the post-natal mouse, which fulfil some criteria of cardiac progenitors:

  • expression of a developmentally important gene (isl-1(Laugwitz et al, 2005))
  • specific cell surface receptor profile (c-kit (Beltrami et al, 2003)
  • or sca-1 (Oh et al, 2003))
  • capacity to actively exclude Hoechst dye (so-called side population cells (Martin et al, 2004)) or based on the outgrowth of typical spherical colonies in tissue culture 

In general, the label of ‘cardiac stem cell’ results from the observation of self-propagation and cardiac myocyte transdifferentiation when exposed to cardiogenic conditions in vitro or when delivered in vivo after injury. However, the field will benefit from careful in vivo lineage tracing studies—without ex vivo culture steps—to study if and how a given cell type contributes to cardiac myocyte replenishment during either normal homeostasis or after injury (Fig 2). The lack of such publications to date owes in part to the lack of specificity of many stem cell markers (Fig 3).

Figure 3. Possible recapitulation of developmental paradigms by endogenous post-natal cardiac stem cells.

Between mesodermal development and the emergence of cardiac myocytes, cardiovascular progenitors express a number of markers that have also been detected in the various post-natal cardiac stem cell (CSC) preparations. Expression as measured by messenger RNA (mRNA) or protein expression is denoted with (þ). Absent expression is denoted by (-). Blank1/4 untested.

Moving towards a regenerative therapy

The therapeutic challenge is considerable: a typical large myocardial infarction that leads to heart failure will kill around 1 billion cardiac myocytes,  roughly a quarter of the heart’s myocytes. A possible therapeutic approach would coax an endogenous stem cell population or an exogenously delivered cell-based therapy to replace lost cardiac myocytes in a coordinated fashion. Amongst the myriad of potential cell-based therapies, no clear winning strategy has so far emerged (Segers & Lee, 2008).

Bone marrow derived progenitors

Conflicting studies sparked excitement and also uncertainty about a possible adult cardiogenic progenitor originating outside of the heart. A post-mortem examination of male heart transplant patients who had received female donor hearts found that approximately 10% of -sarcomeric actin-positive cardiac myocytes had Y-chromosomes, and two cases in which a bone marrow cell population with a higher density of the cell surface receptor c-kit, showed repopulation of murine cardiac myocytes after experimental myocardial infarction. A number of studies that followed failed to demonstrate similar rates of chimerism in transplanted hearts or potency of bone marrow stem cell.  However, some therapeutic effect was observed even in studies with no detectable transdifferentiation.

Figure 4. The challenge of regenerating the heart.

Both exogenously delivered cell therapies and progenitors in the endogenous niche encounter a similar hostile environment after myocardial injury, often including inadequate blood supply (ischemia), inflammation and fibrosis/scarring. Regenerative pathways may be activated by as yet unknown paracrine pathways, responsible for recruiting progenitors from the niche, stimulating proliferation and coaxing differentiation.  Cell-based therapy using autologous bone marrow
progenitors was rapidly translated into the clinic to treat human ischemic heart disease. A number of randomized trials, using bone marrow mononuclear cells have been performed and most studies demonstrated modest cell therapy-mediated improvements in ventricular function.

Pluripotent stem cells

Embryonic stem (ES) cells represent the prototypical stem cells with the hallmarks of clonogenicity, self-renewal and pluripotency. The potency of these cells also represents a real safety concern, given their tendency to form teratomas. One approach to overcoming this prohibitive safety problem has been to generate pluripotent-derived progenitors that have already committed to a cardiogenic pathway. As a proof-of-principle example of such a strategy, cells with an expression profile of Oct4, stage-specific embryonic antigen 1 (SSEA-1) and MESP1 demonstrated some regenerative potency when delivered therapeutically in a primate infarct model, without detectable teratoma formation. One could envision a similar strategy using cardiogenic intermediates that express any of the previously mentioned transcription factors associated with cardiac progenitors or cell surface markers such as the receptor for vascular endothelial growth factor (Flk1/KDR). Yet, such a strategy should still demonstrate both substantial preclinical efficacy without tumorigenicity before human translation. If such criteria are met, ES-derived therapies have the potential of providing ‘off-the-shelf’ cardiac myocytes to treat acute myocardial infarctions or chronic heart failure.
A second approach, which may also obviate the risk of teratomas, is to generate a pure population of ES-derived cardiac myocytes for therapeutic delivery either as a cell suspension or after ex vivo tissue engineering. There has already been enormous progress during the past decade in defining the factors and transcription signals to differentiate cardiac myocytes from ES-cells. As discussed in greater detail, cardiac myocyte development is dictated by the time and dose-dependent exposure to a series of growth factors from the wingless-type MMTV integration site (Wnt), fibroblast growth factor (FGF), bone morphogenetic protein (BMP) and nodal families. Several laboratories have successfully generated ES-derived preparations with more than 50% of functional cardiac myocytes.  The most realistic future for such technical advances may be as an unlimited source of cardiac myocytes for engineering myocardial grafts.
The generation of induced pluripotent stem (iPS) cells may overcome two important limitations of ES cells: ethical concerns about harvesting ES cells from embryos and graft rejection

  • iPS cells can be custom-engineered from a patient’s stromal cells for autologous transplantation.
  • immunogenecity in syngeneically transplanted iPS cells, suggests that the immune system cannot yet be discounted in the development of iPS-based therapies

The initial protocols for iPS cell generation involved retro-viral-mediated expression of four stem-cell genes.
But virally reprogrammed cells may harbour an associated risk of neoplastic conversion. Alternative reprogramming strategies, such as the use of small molecules (Shi et al, 2008) or non-viral gene modifying approaches (Warren et al, 2010) will probably be a necessary component of any future therapeutic strategies. However, the most important lesson from these landmark studies may be the remarkable plasticity of even the most terminally differentiated cells when exposed to the right combination of signals.

Tissue engineering

Historically, the greatest challenge in tissue engineering has been an adequate supply of oxygen and nutrients for metabolically active tissues such as the heart. One approach has been to engineer thin cardiac sheets, which can then be stacked for in vivo delivery. Although these layered sheets demonstrate some degree of electromechanical coordination and neovascularization in vivo, it is not clear yet if such an approach can be optimized to yield full-thickness myocardium with an adequate blood supply. The addition of non-myocyte cellular components, such as fibroblasts and endothelial cells, leads to the formation of primitive vascular structures within engineered grafts, but the electro-mechanical properties are not sufficient for normal functionality.

Circumventing cell-based therapy with pharmacoregeneration?

A short-term goal may be to exploit paracrine signalling to amplify the existent endogenous regenerative response. Recent cell transplantation experiments conducted in our laboratory, using an inducible cre-based genetic lineage mapping approach, tested the hypothesis that cell-based therapies might exert proregenerative effects via a paracrine mechanism (Loffredo et al, 2011) (Fig 5).  Consistent with some prior studies, we found no evidence for transdifferentiation of exogenously delivered bone marrow cells into cardiac myocytes. However, we did find increased generation of cardiac myocytes from endogenous progenitors in mice, which were administered c-kit+ bone marrow cells but not mesenchymal stem cells. This finding suggests paracrine signalling between exogenously delivered cells and endogenous resident progenitors. It provides a rationale for therapeutic interventions aimed at activating progenitors or recruiting them from their niche to the injury site.

Figure 5. Proposed of action for cell-based therapies.

In theory, exogenously delivered cells may directly differentiate into endothelial cells, smooth muscle cells and cardiac myocytes. They may also release paracrine factors which may result in non-regenerative effects, such as immunomodulation, angiogenesis or cardioprotection. Recent work from our laboratory suggests that a dominant mechanism achieved with bone marrow progenitor therapy may be via the activation of endogenous progenitor recruitment (Loffredo et al, 2011).

Controlling the mitotic activity of mononucleated cardiac myocytes may provide an alternative approach to replenishing cardiac myocytes. A major concern with systemic growth factor therapy, however, is the potential for mitogenic effects that may impact other organs. Thus, the future of pharmacologic regeneration may lie in the local delivery of engineered proteins and small molecules that target 

Future directions

In this review, we have described the current status of research on cardiac regeneration, highlighting important recent discoveries and ongoing controversies. The initial hope that a cell progenitor would emerge with the capacity to regenerate the injured mammalian heart in the same manner that bone marrow may be reconstituted has not been realized.
Cardiac myocyte regeneration may lie in the local delivery of engineered proteins and small molecules that target specific survival, growth and differentiation pathways.

Pending issues

Dissect the mechanistic differences between adult mammals with limited regenerative capacity and organisms, such as neonatal mice, zebrafish and newts, that demonstrate unambiguous cardiac myocyte regeneration. Understanding these differences may reveal new pathways that can be therapeutically targeted to achieve more robust regeneration.

Complete molecular and functional characterization of endogenous cardiac myocyte progenitors. Multiple laboratories have isolated progenitors from the heart with different molecular characteristics. What are the in vivo functional roles of these progenitors? Do the observed molecular differences between these isolated cells represent functionally distinct cell types?

Identify paracrine signalling pathways responsible for activation and recruitment of endogenous cardiac myocyte progenitors. This may facilitate a pharmacoregenerative therapy, in which treatment with a protein or small molecule would hold the promise of amplifying endogenous regeneration.

Refine reprogramming strategies to more efficiently produce mature cardiac myocytes, both in vitro and in vivo. The ultimate bioengineering goal is to produce a pure population of mature, fully functional cardiac myocytes for ex vivo tissue engineering (or) to control the proliferation and differentiation of endogenous cell populations or exogenously delivered cell therapies such that scar tissue is replaced by myocardium. These different strategies are unified by an underlying requirement to understand the fundamental pathways involved in cardiac myocyte differentiation and maturation.

There is reason for optimism for a regenerative medicine approach to heart failure, given the intense research efforts and the capacity of higher organisms, including the neonatal mouse, to regenerate myocardium. Perhaps the most important issue in this field is identifying which findings are consistently supported by multiple experimental approaches. Ultimately, the findings that are easily reproduced by most or all laboratories will most likely benefit patients.

Selected references

Hsieh et al, 2007.  Hsieh PC, Segers VF, Davis ME, MacGillivray C, Gannon J, Molkentin JD, Robbins J, Lee RT (2007) Evidence from a genetic fate-mapping study that stem cells refresh adult mammalian cardiomyocytes after injury. Nat Med 13: 970¬974
Laugwitz et al, 2005.  Laugwitz KL, Moretti A, Lam J, Gruber P, Chen Y, Woodard S, Lin LZ, Cai CL, Lu MM, Reth M et al (2005) Postnatal isl1þ cardioblasts enter fully differentiated cardiomyocyte lineages. Nature 433: 647-653
Beltrami et al, 2003.  Beltrami AP, Barlucchi L, Torella D, Baker M, Limana F, Chimenti S, Kasahara H, Rota M, Musso E, Urbanek K et al (2003) Adult cardiac stem cells are multipotent and support myocardial regeneration. Cell 114: 763¬776
Oh et al, 2003. Oh H, Bradfute SB, Gallardo TD, Nakamura T, Gaussin V, Mishina Y, Pocius J, Michael LH, Behringer RR, Garry DJ et al (2003) Cardiac progenitor cells from adult myocardium: homing, differentiation, and fusion after infarction. Proc Natl Acad Sci USA 100: 12313-12318
Segers & Lee, 2008.  Segers VF, Lee RT (2008) Stem-cell therapy for cardiac disease. Nature 451:937-942
Loffredo et al, 2011.  Loffredo FS, Steinhauser ML, Gannon J, Lee RT (2011) Bone marrow-derived cell therapy stimulates endogenous cardiomyocyte progenitors and promotes cardiac repair. Cell Stem Cell 8: 389-398.
Shi et al, 2008.  Shi Y, Desponts C, Do JT, Hahm HS, Scholer HR, Ding S (2008) Induction of pluripotent stem cells from mouse embryonic fibroblasts by Oct4 and Klf4 with small-molecule compounds. Cell Stem Cell 3: 568-574.
Warren et al, 2010.  Warren L, Manos PD, Ahfeldt T, Loh YH, Li H, Lau F, Ebina W, Mandal PK, Smith ZD, Meissner A et al (2010) Highly efficient reprogramming to pluripotency and directed differentiation of human cells with synthetic modified mRNA. Cell Stem Cell 7: 618-630.

Mammalian Heart Renewal by Preexisting Cardiomyocytes

SE Senyo, ML Steinhauser, CL Pizzimenti, VK. Yang, Lei Cai, Mei Wang, …,and Richard T. Lee
Cardiovascular and Genetics Divisions, Brigham and Women’s Hospital and Harvard Medical School,
INSERM, Orsay (Fr), Institut Curie, Laboratoire de Microscopie Ionique, Orsay (Fr), National Resource for Imaging Mass Spectrometry, Harvard Stem Cell Institute
Nature. 2013 January 17; 493(7432): 433–436.  http://dx.doi.org/10.1038/nature11682

Although recent studies have revealed that heart cells are generated in adult mammals, the frequency and source of new heart cells is unclear. Some studies suggest a high rate of stem cell activity with differentiation of progenitors to cardiomyocytes. Other studies suggest that new cardiomyocytes are born at a very low rate, and that they may be derived from division of pre-existing cardiomyocytes. Thus, the origin of cardiomyocytes in adult mammals remains unknown. Here we combined two different pulse-chase approaches — genetic fate-mapping with stable isotope labeling and Multi-isotope Imaging Mass Spectrometry (MIMS). We show that genesis of cardiomyocytes occurs at a low rate by division of pre-existing cardiomyocytes during normal aging, a process that increases by four-fold adjacent to areas of myocardial injury. Cell cycle activity during normal aging and after injury led to polyploidy and multinucleation, but also to new diploid, mononucleated cardiomyocytes. These data reveal pre-existing cardiomyocytes as the dominant source of cardiomyocyte replacement in normal mammalian myocardial homeostasis as well as after myocardial injury.

Despite intensive research, fundamental aspects of the mammalian heart’s capacity for self-renewal are actively debated. Estimates of cardiomyocyte turnover range from less than 1% per year to more than 40% per year. Turnover has been reported to either decrease or increase with age, while the source of new cardiomyocytes has been attributed to both division of existing myocytes and to progenitors residing within the heart or in exogenous niches such as bone marrow. Controversy persists regarding the plasticity of the adult heart in part due to methodological challenges associated with studying slowly replenished tissues. Toxicity attributed to radiolabeled thymidine and halogenated nucleotide analogues limits the duration of labeling and may produce direct biological effects. The challenge of measuring cardiomyocyte turnover is further compounded by the faster rate of turnover of cardiac stromal cells relative to cardiomyocytes.

We used Multi-isotope Imaging Mass Spectrometry (MIMS) to study cardiomyocyte turnover and to determine whether new cardiomyocytes are derived from preexisting myocytes or from a progenitor pool (Fig 1a). MIMS uses ion microscopy and mass spectrometry to generate high resolution quantitative mass images and localize stable isotope reporters in domains smaller than one micron cubed15,16,17. MIMS generates 14N quantitative mass images by measuring the atomic composition of the sample surface with a lateral resolution of under 50nm and a depth resolution of a few atomic layers. Cardiomyocyte cell borders and intracellular organelles were easily resolved (Fig 1b). Regions of interest can be analyzed at higher resolution, demonstrating cardiomyocyte-specific subcellular ultrastructure, including sarcomeres (Fig 1c, Supplemental Fig 1a). In all subsequent analyses, cardiomyocyte nuclei were identified by their location within sarcomere-containing cells, distinguishing them from adjacent stromal cells.
An immense advantage of MIMS is the detection of nonradioactive stable isotope tracers. As an integral part of animate and inanimate matter, they do not alter biochemical reactions and are not harmful to the organism18. MIMS localizes stable isotope tracers by simultaneously quantifying multiple masses from each analyzed domain; this enables the generation of a quantitative ratio image of two stable isotopes of the same element15. The incorporation of a tracer tagged with the rare stable isotope of nitrogen (15N) is detectable with high precision by an increase in 15N:14N above the natural ratio (0.37%). Nuclear incorporation of 15N-thymidine is evident in cells having divided during a one-week labeling period, as observed in the small intestinal epithelium, which turns over completely in 3–5 days16 (Fig 1d); in contrast, 15N-thymidine labeled cells are rarely observed in the heart (Fig 1e) after 1 week of labeling. In subsequent studies, small intestine was used as a positive control to confirm label delivery.
To evaluate for an age-related change in cell cycle activity, we administered 15N-thymidine for 8 weeks to three age groups of C57BL6 mice starting at day-4 (neonate), at 10-weeks (young adult) and at 22-months (old adult) (Supplemental Fig 2). We then performed MIMS analysis (Fig 2a, b, Supplemental Fig 3). In the neonatal group, 56% (±3% s.e.m., n=3 mice) of cardiomyocytes demonstrated 15N nuclear labeling, consistent with the well-accepted occurrence of cardiomyocyte DNA synthesis during post-natal development19. We observed a marked decline in the frequency of 15N-labeled cardiomyocyte nuclei (15N+CM) in the young adult (neonate= 1.00%15N+CM/day ±0.05 s.e.m. vs young adult=0.015% 15N+CM/ day ±0.003 s.e.m., n=3 mice/group, p<0.001) (Fig 2a, c; Supplemental Fig 3). We found a further reduction in cardiomyocyte DNA synthesis in old mice (young adult=0.015%15N+CM/day ±0.003 s.e.m. vs. old adult=0.007 %15N+CM/day ±0.002 s.e.m., n=3/group, p<0.05) (Fig 2c). The observed pattern of nuclear 15N-labeling in cardiomyocytes is consistent with the known chromatin distribution pattern in cardiomyocytes20 (Supplemental Fig 1b) and was measured at levels that could not be explained by DNA repair (Supplemental Fig 4). Extrapolating DNA synthesis measured in cardiomyocytes over 8 weeks yields a yearly rate of 5.5% in the young adult and 2.6% in the old mice. Given that cardiomyocytes are known to undergo DNA replication without completing the cell cycle19,21,22, these calculations represent the upper limit of cardiomyocyte generation under normal homeostatic conditions, indicating a low rate of cardiogenesis.
To test whether cell cycle activity occurred in preexisting cardiomyocytes or was dependent on a progenitor pool, we performed 15N-thymidine labeling of double-transgenic MerCreMer/ZEG mice, previously developed for genetic lineage mapping (Fig 3a)23,24. MerCreMer/ZEG cardiomyocytes irreversibly express green fluorescent protein (GFP) after treatment with 4OH-tamoxifen, allowing pulse labeling of existing cardiomyocytes with a reproducible efficiency of approximately 80%. Although some have reported rare GFP expression by non-cardiomyocytes with this approach25, we did not detect GFP expression in interstitial cells isolated from MerCreMer/ZEG hearts nor did we detect GFP expression by Sca1 or ckit-expressing progenitors in histological sections (Supplemental Fig 5). Thus, during a chase period, cardiomyocytes generated from progenitors should be GFP−, whereas cardiomyocytes arising from preexisting cardiomyocytes should express GFP at a frequency similar to the background rate induced by 4OH-tamoxifen. We administered 4OH-tamoxifen for two weeks to 8 wk-old mice (n=4); during a subsequent 10-week chase, mice received 15N-thymidine via osmotic minipump.

We next used MIMS and genetic fate mapping to study myocardial injury. Cardiomyocyte GFP labeling was induced in MerCreMer/ZEG mice with 4OH-tamoxifen. Mice then underwent experimental myocardial infarction or sham surgery followed by continuous labeling with 15N-thymidine for 8wks. The frequency of 15N-labeled cardiomyocytes in sham-operated mice was similar to prior experiments in unoperated mice (yearly projected rates: sham=6.8%; unoperated=4.4%), but increased significantly adjacent to infarcted myocardium (total 15N+ cardiomyocyte nuclei: MI=23.0% vs sham=1.1%, Fig 4a–b, Supplemental Fig 8). We examined GFP expression, nucleation and ploidy status of 15N-labeled cardiomyocytes and surrounding unlabeled cardiomyocytes. We found a significant dilution of the GFP+ cardiomyocyte pool at the border region as previously shown23,24 (67% vs. 79%, p<0.05, Table 2, Supplemental Fig 9); however, 15N+ myocytes demonstrated a similar frequency of GFP expression compared to unlabeled myocytes (71% vs. 67%, Fisher’s exact=n.s.), suggesting that DNA synthesis was primarily occurring in pre-existing cardiomyocytes. Of 15N-labeled cardiomyocytes, approximately 14% were mononucleated and diploid consistent with division of pre-existing cardiomyocytes (Supplemental Fig 6, 7). We observed higher DNA content (>2N) in the remaining cardiomyocytes as expected with compensatory hypertrophy after injury. Thus, in the 8wks after myocardial infarction, approximately 3.2% of the cardiomyocytes adjacent to the infarct had unambiguously undergone division (total 15N+ × mononucleated diploid fraction = 23% × 0.14 = 3.2%). The low rate of cardiomyocyte cell cycle completion is further supported by the absence of detectable Aurora B Kinase, a transiently expressed cytokinesis marker, which was detected in rapidly proliferating small intestinal cells but not in cardiomyocytes (Supplemental Fig 10). We also considered the possibility that a subset of 15N+ myocytes that were multinucleated and/or polyploid resulted from division followed by additional rounds of DNA synthesis without division. However, quantitative analysis of the 15N+ population did not identify a subpopulation that had accumulated additional 15N-label as would be expected in such a scenario (Supplemental Fig 11). Together, these data suggest that adult cardiomyocytes retain some capacity to reenter the cell cycle, but that the majority of DNA synthesis after injury occurs in preexisting cardiomyocytes without completion of cell division.
If dilution of the GFP+ cardiomyocyte pool cannot be attributed to division and differentiation of endogenous progenitors, do these data exclude a role for progenitors in the adult mammalian heart? These data could be explained by preferential loss of GFP+ cardiomyocytes after injury, a process that we have previously considered but for which we have not found supporting evidence23. Such an explanation excludes a role for endogenous progenitors in cardiac repair and would be consistent with data emerging from lower vertebrates8,26 and the neonatal mouse27 in which preexisting cardiomyocytes are the cellular source for cardiomyocyte repletion. A second possibility to explain the dilution of the GFP+ cardiomyocyte pool is that injury stimulates progenitor differentiation without division; inevitably, this would lead to exhaustion of the progenitor pool, which if true could explain the limited regenerative potential of the adult mammalian heart.

In summary, this study demonstrates birth of cardiomyocytes from preexisting cardiomyocytes at a projected rate of approximately 0.76%/year (15N+ annual rate × mononucleated diploid fraction = 4.4% × 0.17) in the young adult mouse under normal homeostatic conditions, a rate that declines with age but increases by approximately four-fold after myocardial injury in the border region. This study shows that cardiac progenitors do not play a significant role in myocardial homeostasis in mammals and suggests that their role after injury is also limited.

Engineering insulin-like growth factor-1 for local delivery

T Tokunou, R Miller, P Patwari, ME Davis, VFM Segers, AJ Grodzinsky, and RT Lee
Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA and Biological Engineering, MIT, Cambridge, MA
FASEB J. 2008 June ; 22(6): 1886–1893.   http://dx.doi.org/10.1096/fj.07-100925

Insulin-like growth factor-1 (IGF-1) is a small protein that promotes cell survival and growth, often acting over long distances. Although for decades IGF-1 has been considered to have therapeutic potential, systemic side effects of IGF-1 are significant, and local delivery of IGF-1 for tissue repair has been a long-standing challenge. In this study, we designed and purified a novel protein, heparin-binding IGF-1 (Xp-HB-IGF-1), which is a fusion protein of native IGF-1 with the heparin-binding domain of heparin-binding epidermal growth factor-like growth factor. Xp-HB-IGF-1 bound selectively to heparin as well as the cell surfaces of 3T3 fibroblasts, neonatal cardiac myocytes and differentiating ES cells. Xp-HB-IGF-1 activated the IGF-1 receptor and Akt with identical kinetics and dose response, indicating no compromise of biological activity due to the heparin-binding domain. Because cartilage is a proteoglycan-rich environment and IGF-1 is a known stimulus for chondrocyte biosynthesis, we then studied the effectiveness of Xp-HB-IGF-1 in cartilage. Xp-HB-IGF-1 was selectively retained by cartilage explants and led to sustained chondrocyte proteoglycan biosynthesis compared to IGF-1. These data show that the strategy of engineering a “long-distance” growth factor like IGF-1 for local delivery may be useful for tissue repair and minimizing systemic effects.

INSULIN-LIKE GROWTH FACTOR-1 (IGF-1) is a growth factor well known as an important mediator of cell growth and differentiation. IGF-1 stimulates several signaling pathways through the tyrosine kinase IGF-1 receptor, including phosphatidylinositol (PI) 3-kinase and mitogen-activated protein kinases (MAPKs). PI3-kinase has many downstream targets, including the kinase Akt, and activation of Akt promotes survival, proliferation, and growth.
IGF-1 has been extensively studied for its therapeutic potential in tissue repair and regeneration. IGF-1 is a small and highly diffusible protein that can act over long distances. However, systemic administration of IGF-1 has significant side effects as well as the potential to promote diabetic retinopathy and cancer. Therefore, local delivery of IGF-1 has been a longstanding challenge. Here, we describe the design of a new protein, formed by fusion of IGF-1 with the heparin-binding (HB) domain of heparin-binding epidermal growth factor-like growth factor (HB-EGF). HB-EGF binds selectively to glycosaminoglycans through its highly positively charged heparin-binding domain.

Thus, we hypothesized that engineering IGF-1 to bind to glycosaminoglycans could provide selective delivery of IGF-1 to cell surfaces or to specific tissues. We demonstrate that this heparin-binding IGF-1 (Xp-HB-IGF-1) can bind to cell surfaces as well as the proteoglycan-rich tissue of cartilage; furthermore, Xp-HB-IGF-1 prolongs the stimulation of chondrocyte biosynthesis, demonstrating its potential for tissue specific repair.

Purification of Xp-HB-IGF-1

Figure 1A—C shows the constructs for Xp-HB-IGF-1 and the control Xp-IGF-1 fusion proteins.

IGF-1 has 3 disulfide bonds and includes 70 amino acids. The IGF-1 fusion proteins both contain polyhistidine tags for protein purification and Xpress tags for protein detection. The expected molecular masses of Xp-HB-IGF-1 and Xp-IGF-1 are 14,018 and 11,548 Da, respectively. Xp-HB-IGF-1 has the HB domain on the N terminus of IGF-1. The HB domain has 21 amino acids and includes 12 positively charged amino acids. Final purification of the new fusion proteins after refolding was performed with RP-HPLC (Fig. 1D, E). Identification of the correctly folded protein was performed as described previously and confirmed with bioactivity assays. These 3 IGF-1s (Xp-HB-IGF-1, Xp-IGF-1, and unmodified IGF-1) yielded similar intensities.

Xp-HB-IGF-1 binds to heparin and cell surfaces

1. Xp-HB-IGF-1 binds selectively to heparin compared with Xp-IGF-1 (Fig. 2A).
2. Xp-HB-IGF-1 bound to 3T3 fibroblast cells when treated with 10 and 100 nM concentrations.
3. Xp-HB-IGF-1 binds with neonatal cardiac myocytes, with clear selective binding of Xp-HB-IGF-1 (Fig 2C)
4. These results are consistent with binding of this HB domain to heparan sulfate in the submicromolar range
5. Xp-HB-IGF-1 was readily detected on the surfaces of ES cells in embryoid bodies — which contain multiple cell types.
6. There is more Xpress epitope tag in Xp-HB-IGF-1 group than the Xp-IGF-1 group, suggesting that Xp-HB-IGF-1 binds with heparan sulfate on the cell surface.

Xp-HB-IGF-1 bioactivity

Bioassays for IGF-1 receptor phosphorylation and Akt activation were performed. Control IGF-1, Xp-HB-IGF-1, and Xp-IGF-1 all activated the IGF-1 receptor of neonatal cardiac myocytes dose-dependently and induced Akt phosphorylation identically (Fig. 3A), and they  activated Akt with a similar time course (Fig. 3B), indicating — addition of the heparin-binding domain does not interfere with the bioactivity of IGF-1.

  1. Xp-HB-IGF-1 transport in cartilage
  2. Cartilage is a proteoglycan-rich tissue, and chondrocytes respond to IGF-1 with increased extracellular matrix synthesis (19). Because prolonged local stimulation of IGF-1 signaling could thus be beneficial for cartilage repair, we studied the ability of Xp-HB-IGF-1 to bind to cartilage.
  3. Xp-HB-IGF-1 is selectively retained by cartilage, while Xp-IGF-1 is rapidly lost.
  4. Xp-HB-IGF-1 can bind to cartilage after chondroitin sulfate digestion

To explore the possibility of nonspecific binding of Xp-HB-IGF-1 to glycosaminoglycans other than heparan sulfate, we studied the binding of Xp-HB-IGF-1 after chondroitinase ABC digestion.
Xp-HB-IGF-1 retention is not mediated by the pool of chondroitin sulfated proteoglycans in the cartilage matrix.

  1. Xp-HB-IGF-1 increases chondrocyte biosynthesis
  2. Xp-HB-IGF-1, which is selectively retained in the cartilage, stimulates chondrocyte biosynthesis over a more sustained period.

DISCUSSION

In this study, we describe a novel IGF-1 protein, Xp-HB-IGF-1, which binds to proteoglycan-rich tissue and cell surfaces but has the same bioactivity as IGF-1. Our data indicate that Xp-HB-IGF-1 can activate the IGF-1 receptor and Akt and thus that the heparin-binding domain does not interfere with interactions of IGF-1 and its receptor. IGF-1 has four domains: B domain (aa 1–29), C domain (aa 30 – 41), A domain (aa 42–62) and D domain (aa 63–70), with the C domain playing the most important role in binding to the IGF-1 receptor. Replacement of the entire C domain causes a 30-fold decrease in affinity for the IGF-1 receptor. Thus, the addition of the heparin-binding domain to the N terminus of IGF-1 was not anticipated to interfere with interactions with the IGF-1 C domain.
Both extracellular matrix and cell surfaces are rich in proteoglycans and can serve as reservoirs for proteoglycan-binding growth factors. A classic example is the fibroblast growth factor-2 (FGF-2) system, where a low-affinity, high-capacity pool of proteoglycan receptors serves as a reservoir of FGF-2 for its high-affinity receptor. Our experiments suggest that Xp-HB-IGF-1 could function in some circumstances in a similar manner, since Xp-HB-IGF-1 is selectively retained on cell surfaces. Many growth factors are known to interact with heparan sulfate, including HB-EGF (10-12), FGF-2 (26), vascular endothelial growth factor-A (VEGF-A), transforming growth factor beta (TGF-β) (28), platelet-derived growth factors (PDGFs), and hepatocyte growth factor (HGF). However, other proteins such as nerve growth factor (NGF), which induces differentiation and reduces apoptosis of neurons, does not have the heparin-binding domain. Thus, the strategy of engineering growth factors for selective matrix or cell surface binding could be used for other growth factors.
IGF-1 can also bind with extracellular matrix via IGF binding proteins (IGFBPs); in the circulation, at least 99% of IGF-1 is bound to IGFBPs (IGFBP-1 to −6). Further experiments are necessary to determine whether addition of a heparin-binding domain to IGF-1 changes interactions with IGFBPs and whether this changes its biological activity.
IGF-1 can promote the synthesis of cartilage extracellular matrix and inhibit cartilage degradation (19); however, a practical mode of IGF-1 delivery to cartilage has yet to be developed (33). Heparan sulfate proteoglycans are prevalent in the pericellular matrix of cartilage, particularly as chains on perlecan and syndecan-2, and are known to bind other ligands such as FGF-2 (34). Our experiments suggest that Xp-HB-IGF-1 protein can bind with matrix and increase local, long-term bioavailability to chondrocytes and thus may improve cartilage repair.

Selected References

Hameed M, Orrell RW, Cobbold M, Goldspink G, Harridge SD. Expression of IGF-I splice variants in young and old human skeletal muscle after high resistance exercise. J. Physiol 2003;547:247–254. [PubMed: 12562960]
Shavlakadze T, Winn N, Rosenthal N, Grounds MD. Reconciling data from transgenic mice that overexpress IGF-I specifically in skeletal muscle. Growth Horm. IGF Res 2005;15:4–18. [PubMed: 15701567]
Milner SJ, Francis GL, Wallace JC, Magee BA, Ballard FJ. Mutations in the B-domain of insulin-like growth factor-I influence the oxidative folding to yield products with modified biological properties. Biochem. J 1995;308(Pt 3):865–871. [PubMed: 8948444]
Milner SJ, Carver JA, Ballard FJ, Francis GL. Probing the disulfide folding pathway of insulin-like growth factor-I. Biotechnol. Bioeng 1999;62:693–703. [PubMed: 9951525]
Bonassar LJ, Grodzinsky AJ, Srinivasan A, Davila SG, Trippel SB. Mechanical and physicochemical regulation of the action of insulin-like growth factor-I on articular cartilage. Arch. Biochem. Biophys 2000;379:57–63. [PubMed: 10864441]
Denley A, Cosgrove LJ, Booker GW, Wallace JC, Forbes BE. Molecular interactions of the IGF system. Cytokine Growth Factor Rev 2005;16:421–439. [PubMed: 15936977]
Musaro A, Dobrowolny G, Rosenthal N. The neuroprotective effects of a locally acting IGF-1 isoform. Exp. Gerontol 2007;42:76–80. [PubMed: 16782294]
Farndale RW, Buttle DJ, Barrett AJ. Improved quantitation and discrimination of sulphated glycosaminoglycans by use of dimethylmethylene blue. Biochim. Biophys. Acta 1986;883:173–177. [PubMed: 3091074]
Yayon A, Klagsbrun M, Esko JD, Leder P, Ornitz DM. Cell surface, heparin-like molecules are required for binding of basic fibroblast growth factor to its high affinity receptor. Cell 1991;64:841– 848. [PubMed: 1847668]
Martin P. Wound healing—aiming for perfect skin regeneration. Science 1997;276:75–81. [PubMed: 9082989]

Figure 1.  Construction and purification of a new Xp-HB-IGF-1 fusion protein.

Figure 1.  Construction and purification of a new Xp-HB-IGF-1 fusion protein.

A) The heparin binding domain of HB-EGF was inserted N-terminal to IGF-1 to generate the fusion protein. The construct included the hexahistidine and Xpress tags from the pTrcHis vector for purification and detection. B) The resulting amino acid sequence of HB-IGF-1. C) Schematic for the structure of HB-IGF-1. Red circles: positively charged amino acids; blue circles: negatively charged amino acids; yellow circles: cysteines. The arrow shows the HB domain. In this figure the epitope tags are not shown. D, E) Representative reverse-phase high-performance liquid chromatography (RP-HPLC) elution profiles with single peaks containing correctly folded protein. Readings of optical density at 214 nm are in blue; readings at 280 nm are in red; elution is by acetonitrile (ACN) gradient. F) After RP-HPLC, Coomassie blue staining and Western blot analysis demonstrate isolation of single bands containing Xpress-tagged protein. The right panel shows that the Western blot analysis of IGF-1, and the two engineered IGF-1 proteins yield similar results using an anti-IGF-1 antibody.

Protein Therapeutics for Cardiac Regeneration after Myocardial Infarction

Vincent F.M. Segers and Richard T. Lee
Provasculon Inc, 14 Cambridge Center, and Harvard Stem Cell Institute and the Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA
J Cardiovasc Transl Res. 2010 October ; 3(5): 469–477.   http://dx.doi./10.1007/s12265-010-9207-5.

Although most medicines have historically been small molecules, many newly approved drugs are derived from proteins. Protein therapies have been developed for treatment of diseases in almost every organ system, including the heart. Great excitement has now arisen in the field of regenerative medicine, particularly for cardiac regeneration after myocardial infarction. Every year, millions of people suffer from acute myocardial infarction, but the adult mammalian myocardium has limited regeneration potential. Regeneration of the heart after myocardium infarction is therefore an exciting target for protein therapeutics.  

In this review, we discuss different classes of proteins that have therapeutic potential to regenerate the heart after myocardial infarction. Protein candidates have been described that induce angiogenesis, including fibroblast growth factors and vascular endothelial growth factors, although thus far clinical development has been disappointing. Chemotactic factors that attract stem cells, e.g. hepatocyte growth factor and stromal cell derived factor-1, may also be useful. Finally, neuregulins and periostin are proteins that induce cell cycle reentry of cardiomyocytes, and growth factors like IGF-1 can induce growth and differentiation of stem cells. As our knowledge of the biology of regenerative processes and the role of specific proteins in these processes increases, the use of proteins as regenerative drugs could develop as a cardiac therapy.
Keywords: protein therapeutics; myocardial infarction; regeneration; heart failure

The current standard of care for MI is early reperfusion of the occluded vessel with angioplasty or thrombolysis to reverse ischemia and increase the number of surviving myocytes. Efforts to decrease delays between onset of symptoms and reperfusion have resulted in decreased morbidity and mortality, but the maximal benefit of early reperfusion has reached a point close to practical limits. Besides early reperfusion therapy, ACE inhibitors and beta-blockers are used to prevent remodeling after MI and progression to heart failure. Both ACE inhibitors and beta-blockers improve long term survival but no therapies besides cardiac transplantation are currently available that restore cardiac function.
In the last decade, a large number of pre-clinical and clinical studies have been published on the potential use of stem cells for cardiac regeneration after MI. Different stem cell types have been shown to improve cardiac function in animal studies and can induce a small but potentially significant increase in ejection fraction in clinical studies. Stem cell therapy is a promising treatment option for heart failure, but numerous technical challenges and gaps in our understanding of stem cell behavior may limit translation to the clinic.
With the advent of biotechnology, protein and peptide drugs are becoming increasingly important in modern medicine. Drugs based on naturally-occurring proteins have the advantage of efficacy based on a mechanism of action refined by millions of years of biological evolution. Though promising as therapeutics, proteins might behave differently when used at pharmacological instead of physiological concentrations with an increase in adverse effects on other organs. Proteins used as therapeutics have been modified in different ways to limit immunogenicity and rapid degradation in plasma and tissues.
We discuss four different classes of proteins that could potentially benefit patients with MI (Figure 1); all of these proteins have been shown to improve cardiac function in animal models of MI or heart failure. They include angiogenic growth factors, proteins that increase recruitment of progenitor cells to the heart, proteins that induce mitosis of existing myocytes, and proteins that increase differentiation and growth of stem cells and myocytes. As more is learned about cardiac regeneration and why mammals lack sufficient myocardial regeneration, more proteins are likely to be added to this list of candidates.

A decade of extensive research on cardiac stem cell biology revealed 1 protein (G-CSF) that can be used to mobilize hematopoietic stem cells and just 2 proteins with chemotactic properties on stem cells: SDF-1 on endothelial progenitor cells and HGF on cardiac stem cells. Another protein that has been identified as a stem cell attractant is monocyte chemotactic protein-3 which attracts mesenchymal stem cells [42]. It is unknown if local administration of MCP-3 improves cardiac function. Identification of new stem cell chemotactic proteins is important because it could lead to the development of new and feasible therapeutics for treatment of MI and heart failure. At the same time, the true regenerative potential of most stem cells remains highly controversial; indicating that even if a chemotactic factor attracting stem cells to the heart is identified, formation of functional myocardial is still a challenging task.

Proteins like periostin and neuregulin which stimulate mitosis of surviving myocytes can partially restore the damage inflicted by MI. However, some requirements have to be met before this will result in a viable therapy. An inherent selectivity for myocytes would also allow for systemic delivery as opposed to the use of more complicated local delivery methods. An important factor to consider is the duration of the signal necessary to induce mitosis in a significant number of myocytes. A protein that induces cell cycle reentry in a significant fraction of myocytes with a single pulse has more therapeutical potential than a protein that needs sustained or repeated delivery. Ideally, pro-mitotic proteins will be not only specific for myocytes in general but might also be specific for myocytes in the border zone of the MI. This has drawbacks, among which is that formation of new myocytes, either by stem cell differentiation or by myocyte mitosis, carries an increased risk of ventricular arrhythmias.

Figure 1. Regeneration of the heart by 4 different classes of proteins

Figure 1. Regeneration of the heart by 4 different classes of proteins

See text for details. A) FGF and VEGF increase angiogenesis. B) G-CSF mobilizes bone marrow hematopoietic stem cells and SDF-1 attracts endothelial progenitor cells. HGF attracts cardiac stem cells. C) Neuregulin and periostin can induce division of adult cardiomyocytes. D) IGF-1 induces maturation and differentiation of cardiac stem cells.

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The importance of spatially-localized and quantified image interpretation in cancer management

Writer & reporter: Dror Nir, PhD

I became involved in the development of quantified imaging-based tissue characterization more than a decade ago. From the start, it was clear to me that what clinicians needs will not be answered by just identifying whether a certain organ harbors cancer. If imaging devices are to play a significant role in future medicine, as a complementary source of information to bio-markers and gene sequencing the minimum value expected of them is accurate directing of biopsy needles and treatment tools to the malignant locations in the organ.  Therefore, the design goal of the first Prostate-HistoScanning (“PHS”) version I went into the trouble of characterizing localized volume of tissue at the level of approximately 0.1cc (1x1x1 mm). Thanks to that, the imaging-interpretation overlay of PHS localizes the suspicious lesions with accuracy of 5mm within the prostate gland; Detection, localisation and characterisation of prostate cancer by prostate HistoScanning(™).

I then started a more ambitious research aiming to explore the feasibility of identifying sub-structures within the cancer lesion itself. The preliminary results of this exploration were so promising that it surprised not only the clinicians I was working with but also myself. It seems, that using quality ultrasound, one can find Imaging-Biomarkers that allows differentiation of inside structures of a cancerous lesions. Unfortunately, for everyone involved in this work, including me, this scientific effort was interrupted by financial constrains before reaching maturity.

My short introduction was made to explain why I find the publication below important enough to post and bring to your attention.

I hope for your agreement on the matter.

Quantitative Imaging in Cancer Evolution and Ecology

Robert A. Gatenby, MD, Olya Grove, PhD and Robert J. Gillies, PhD

From the Departments of Radiology and Cancer Imaging and Metabolism, Moffitt Cancer Center, 12902 Magnolia Dr, Tampa, FL 33612. Address correspondence to  R.A.G. (e-mail: Robert.Gatenby@Moffitt.org).

Abstract

Cancer therapy, even when highly targeted, typically fails because of the remarkable capacity of malignant cells to evolve effective adaptations. These evolutionary dynamics are both a cause and a consequence of cancer system heterogeneity at many scales, ranging from genetic properties of individual cells to large-scale imaging features. Tumors of the same organ and cell type can have remarkably diverse appearances in different patients. Furthermore, even within a single tumor, marked variations in imaging features, such as necrosis or contrast enhancement, are common. Similar spatial variations recently have been reported in genetic profiles. Radiologic heterogeneity within tumors is usually governed by variations in blood flow, whereas genetic heterogeneity is typically ascribed to random mutations. However, evolution within tumors, as in all living systems, is subject to Darwinian principles; thus, it is governed by predictable and reproducible interactions between environmental selection forces and cell phenotype (not genotype). This link between regional variations in environmental properties and cellular adaptive strategies may permit clinical imaging to be used to assess and monitor intratumoral evolution in individual patients. This approach is enabled by new methods that extract, report, and analyze quantitative, reproducible, and mineable clinical imaging data. However, most current quantitative metrics lack spatialness, expressing quantitative radiologic features as a single value for a region of interest encompassing the whole tumor. In contrast, spatially explicit image analysis recognizes that tumors are heterogeneous but not well mixed and defines regionally distinct habitats, some of which appear to harbor tumor populations that are more aggressive and less treatable than others. By identifying regional variations in key environmental selection forces and evidence of cellular adaptation, clinical imaging can enable us to define intratumoral Darwinian dynamics before and during therapy. Advances in image analysis will place clinical imaging in an increasingly central role in the development of evolution-based patient-specific cancer therapy.

© RSNA, 2013

 

Introduction

Cancers are heterogeneous across a wide range of temporal and spatial scales. Morphologic heterogeneity between and within cancers is readily apparent in clinical imaging, and subjective descriptors of these differences, such as necrotic, spiculated, and enhancing, are common in the radiology lexicon. In the past several years, radiology research has increasingly focused on quantifying these imaging variations in an effort to understand their clinical and biologic implications (1,2). In parallel, technical advances now permit extensive molecular characterization of tumor cells in individual patients. This has led to increasing emphasis on personalized cancer therapy, in which treatment is based on the presence of specific molecular targets (3). However, recent studies (4,5) have shown that multiple genetic subpopulations coexist within cancers, reflecting extensive intratumoral somatic evolution. This heterogeneity is a clear barrier to therapy based on molecular targets, since the identified targets do not always represent the entire population of tumor cells in a patient (6,7). It is ironic that cancer, a disease extensively and primarily analyzed genetically, is also the most genetically flexible of all diseases and, therefore, least amenable to such an approach.

Genetic variations in tumors are typically ascribed to a mutator phenotype that generates new clones, some of which expand into large populations (8). However, although identification of genotypes is of substantial interest, it is insufficient for complete characterization of tumor dynamics because evolution is governed by the interactions of environmental selection forces with the phenotypic, not genotypic, properties of populations as shown, for example, by evolutionary convergence to identical phenotypes among cave fish even when they are from different species (911). This connection between tissue selection forces and cellular properties has the potential to provide a strong bridge between medical imaging and the cellular and molecular properties of cancers.

We postulate that differences within tumors at different spatial scales (ie, at the radiologic, cellular, and molecular [genetic] levels) are related. Tumor characteristics observable at clinical imaging reflect molecular-, cellular-, and tissue-level dynamics; thus, they may be useful in understanding the underlying evolving biology in individual patients. A challenge is that such mapping across spatial and temporal scales requires not only objective reproducible metrics for imaging features but also a theoretical construct that bridges those scales (Fig 1).

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Figure 1a: Computed tomographic (CT) scan of right upper lobe lung cancer in a 50-year-old woman.

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Figure 1b: Isoattenuation map shows regional heterogeneity at the tissue scale (measured in centimeters).

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Figure 1c & 1d: (c, d)Whole-slide digital images (original magnification, ×3) of a histologic slice of the same tumor at the mesoscopic scale (measured in millimeters) (c) coupled with a masked image of regional morphologic differences showing spatial heterogeneity (d). 

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Figure 1e: Subsegment of the whole slide image shows the microscopic scale (measured in micrometers) (original magnification, ×50).

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Figure 1f: Pattern recognition masked image shows regional heterogeneity. In a, the CT image of non–small cell lung cancer can be analyzed to display gradients of attenuation, which reveals heterogeneous and spatially distinct environments (b). Histologic images in the same patient (c, e) reveal heterogeneities in tissue structure and density on the same scale as seen in the CT images. These images can be analyzed at much higher definition to identify differences in morphologies of individual cells (3), and these analyses reveal clusters of cells with similar morphologic features (d, f). An important goal of radiomics is to bridge radiologic data with cellular and molecular characteristics observed microscopically.

To promote the development and implementation of quantitative imaging methods, protocols, and software tools, the National Cancer Institute has established the Quantitative Imaging Network. One goal of this program is to identify reproducible quantifiable imaging features of tumors that will permit data mining and explicit examination of links between the imaging findings and the underlying molecular and cellular characteristics of the tumors. In the quest for more personalized cancer treatments, these quantitative radiologic features potentially represent nondestructive temporally and spatially variable predictive and prognostic biomarkers that readily can be obtained in each patient before, during, and after therapy.

Quantitative imaging requires computational technologies that can be used to reliably extract mineable data from radiographic images. This feature information can then be correlated with molecular and cellular properties by using bioinformatics methods. Most existing methods are agnostic and focus on statistical descriptions of existing data, without presupposing the existence of specific relationships. Although this is a valid approach, a more profound understanding of quantitative imaging information may be obtained with a theoretical hypothesis-driven framework. Such models use links between observable tumor characteristics and microenvironmental selection factors to make testable predictions about emergent phenotypes. One such theoretical framework is the developing paradigm of cancer as an ecologic and evolutionary process.

For decades, landscape ecologists have studied the effects of heterogeneity in physical features on interactions between populations of organisms and their environments, often by using observation and quantification of images at various scales (1214). We propose that analytic models of this type can easily be applied to radiologic studies of cancer to uncover underlying molecular, cellular, and microenvironmental drivers of tumor behavior and specifically, tumor adaptations and responses to therapy (15).

In this article, we review recent developments in quantitative imaging metrics and discuss how they correlate with underlying genetic data and clinical outcomes. We then introduce the concept of using ecology and evolutionary models for spatially explicit image analysis as an exciting potential avenue of investigation.

 

Quantitative Imaging and Radiomics

In patients with cancer, quantitative measurements are commonly limited to measurement of tumor size with one-dimensional (Response Evaluation Criteria in Solid Tumors [or RECIST]) or two-dimensional (World Health Organization) long-axis measurements (16). These measures do not reflect the complexity of tumor morphology or behavior, and in many cases, changes in these measures are not predictive of therapeutic benefit (17). In contrast, radiomics (18) is a high-throughput process in which a large number of shape, edge, and texture imaging features are extracted, quantified, and stored in databases in an objective, reproducible, and mineable form (Figs 12). Once transformed into a quantitative form, radiologic tumor properties can be linked to underlying genetic alterations (the field is called radiogenomics) (1921) and to medical outcomes (2227). Researchers are currently working to develop both a standardized lexicon to describe tumor features (28,29) and a standard method to convert these descriptors into quantitative mineable data (30,31) (Fig 3).

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Figure 2: Contrast-enhanced CT scans show non–small cell lung cancer (left) and corresponding cluster map (right). Subregions within the tumor are identified by clustering pixels based on the attenuation of pixels and their cumulative standard deviation across the region. While the entire region of interest of the tumor, lacking the spatial information, yields a weighted mean attenuation of 859.5 HU with a large and skewed standard deviation of 243.64 HU, the identified subregions have vastly different statistics. Mean attenuation was 438.9 HU ± 45 in the blue subregion, 210.91 HU ± 79 in the yellow subregion, and 1077.6 HU ± 18 in the red subregion.

 

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Figure 3: Chart shows the five processes in radiomics.

Several recent articles underscore the potential power of feature analysis. After manually extracting more than 100 CT image features, Segal and colleagues found that a subset of 14 features predicted 80% of the gene expression pattern in patients with hepatocellular carcinoma (21). A similar extraction of features from contrast agent–enhanced magnetic resonance (MR) images of glioblastoma was used to predict immunohistochemically identified protein expression patterns (22). Other radiomic features, such as texture, can be used to predict response to therapy in patients with renal cancer (32) and prognosis in those with metastatic colon cancer (33).

These pioneering studies were relatively small because the image analysis was performed manually, and the studies were consequently underpowered. Thus, recent work in radiomics has focused on technical developments that permit automated extraction of image features with the potential for high throughput. Such methods, which rely heavily on novel machine learning algorithms, can more completely cover the range of quantitative features that can describe tumor heterogeneity, such as texture, shape, or margin gradients or, importantly, different environments, or niches, within the tumors.

Generally speaking, texture in a biomedical image is quantified by identifying repeating patterns. Texture analyses fall into two broad categories based on the concepts of first- and second-order spatial statistics. First-order statistics are computed by using individual pixel values, and no relationships between neighboring pixels are assumed or evaluated. Texture analysis methods based on first-order statistics usually involve calculating cumulative statistics of pixel values and their histograms across the region of interest. Second-order statistics, on the other hand, are used to evaluate the likelihood of observing spatially correlated pixels (34). Hence, second-order texture analyses focus on the detection and quantification of nonrandom distributions of pixels throughout the region of interest.

The technical developments that permit second-order texture analysis in tumors by using regional enhancement patterns on dynamic contrast-enhanced MR images were reviewed recently (35). One such technique that is used to measure heterogeneity of contrast enhancement uses the Factor Analysis of Medical Image Sequences (or FAMIS) algorithm, which divides tumors into regions based on their patterns of enhancement (36). Factor Analysis of Medical Image Sequences–based analyses yielded better prognostic information when compared with region of interest–based methods in numerous cancer types (1921,3739), and they were a precursor to the Food and Drug Administration–approved three-time-point method (40). A number of additional promising methods have been developed. Rose and colleagues showed that a structured fractal-based approach to texture analysis improved differentiation between low- and high-grade brain cancers by orders of magnitude (41). Ahmed and colleagues used gray level co-occurrence matrix analyses of dynamic contrast-enhanced images to distinguish benign from malignant breast masses with high diagnostic accuracy (area under the receiver operating characteristic curve, 0.92) (26). Others have shown that Minkowski functional structured methods that convolve images with differently kernelled masks can be used to distinguish subtle differences in contrast enhancement patterns and can enable significant differentiation between treatment groups (42).

It is not surprising that analyses of heterogeneity in enhancement patterns can improve diagnosis and prognosis, as this heterogeneity is fundamentally based on perfusion deficits, which generate significant microenvironmental selection pressures. However, texture analysis is not limited to enhancement patterns. For example, measures of heterogeneity in diffusion-weighted MR images can reveal differences in cellular density in tumors, which can be matched to histologic findings (43). Measures of heterogeneity in T1- and T2-weighted images can be used to distinguish benign from malignant soft-tissue masses (23). CT-based texture features have been shown to be highly significant independent predictors of survival in patients with non–small cell lung cancer (24).

Texture analyses can also be applied to positron emission tomographic (PET) data, where they can provide information about metabolic heterogeneity (25,26). In a recent study, Nair and colleagues identified 14 quantitative PET imaging features that correlated with gene expression (19). This led to an association of metagene clusters to imaging features and yielded prognostic models with hazard ratios near 6. In a study of esophageal cancer, in which 38 quantitative features describing fluorodeoxyglucose uptake were extracted, measures of metabolic heterogeneity at baseline enabled prediction of response with significantly higher sensitivity than any whole region of interest standardized uptake value measurement (22). It is also notable that these extensive texture-based features are generally more reproducible than simple measures of the standardized uptake value (27), which can be highly variable in a clinical setting (44).

 

Spatially Explicit Analysis of Tumor Heterogeneity

Although radiomic analyses have shown high prognostic power, they are not inherently spatially explicit. Quantitative border, shape, and texture features are typically generated over a region of interest that comprises the entire tumor (45). This approach implicitly assumes that tumors are heterogeneous but well mixed. However, spatially explicit subregions of cancers are readily apparent on contrast-enhanced MR or CT images, as perfusion can vary markedly within the tumor, even over short distances, with changes in tumor cell density and necrosis.

An example is shown in Figure 2, which shows a contrast-enhanced CT scan of non–small cell lung cancer. Note that there are many subregions within this tumor that can be identified with attenuation gradient (attenuation per centimeter) edge detection algorithms. Each subregion has a characteristic quantitative attenuation, with a narrow standard deviation, whereas the mean attenuation over the entire region of interest is a weighted average of the values across all subregions, with a correspondingly large and skewed distribution. We contend that these subregions represent distinct habitats within the tumor, each with a distinct set of environmental selection forces.

These observations, along with the recent identification of regional variations in the genetic properties of tumor cells, indicate the need to abandon the conceptual model of cancers as bounded organlike structures. Rather than a single self-organized system, cancers represent a patchwork of habitats, each with a unique set of environmental selection forces and cellular evolution strategies. For example, regions of the tumor that are poorly perfused can be populated by only those cells that are well adapted to low-oxygen, low-glucose, and high-acid environmental conditions. Such adaptive responses to regional heterogeneity result in microenvironmental selection and hence, emergence of genetic variations within tumors. The concept of adaptive response is an important departure from the traditional view that genetic heterogeneity is the product of increased random mutations, which implies that molecular heterogeneity is fundamentally unpredictable and, therefore, chaotic. The Darwinian model proposes that genetic heterogeneity is the result of a predictable and reproducible selection of successful adaptive strategies to local microenvironmental conditions.

Current cross-sectional imaging modalities can be used to identify regional variations in selection forces by using contrast-enhanced, cell density–based, or metabolic features. Clinical imaging can also be used to identify evidence of cellular adaptation. For example, if a region of low perfusion on a contrast-enhanced study is necrotic, then an adaptive population is absent or minimal. However, if the poorly perfused area is cellular, then there is presumptive evidence of an adapted proliferating population. While the specific genetic properties of this population cannot be determined, the phenotype of the adaptive strategy is predictable since the environmental conditions are more or less known. Thus, standard medical images can be used to infer specific emergent phenotypes and, with ongoing research, these phenotypes can be associated with underlying genetic changes.

This area of investigation will likely be challenging. As noted earlier, the most obvious spatially heterogeneous imaging feature in tumors is perfusion heterogeneity on contrast-enhanced CT or MR images. It generally has been assumed that the links between contrast enhancement, blood flow, perfusion, and tumor cell characteristics are straightforward. That is, tumor regions with decreased blood flow will exhibit low perfusion, low cell density, and high necrosis. In reality, however, the dynamics are actually much more complex. As shown in Figure 4, when using multiple superimposed sequences from MR imaging of malignant gliomas, regions of tumor that are poorly perfused on contrast-enhanced T1-weighted images may exhibit areas of low or high water content on T2-weighted images and low or high diffusion on diffusion-weighted images. Thus, high or low cell densities can coexist in poorly perfused volumes, creating perfusion-diffusion mismatches. Regions with poor perfusion with high cell density are of particular clinical interest because they represent a cell population that is apparently adapted to microenvironmental conditions associated with poor perfusion. The associated hypoxia, acidosis, and nutrient deprivation select for cells that are resistant to apoptosis and thus are likely to be resistant to therapy (46,47).

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Figure 4: Left: Contrast-enhanced T1 image from subject TCGA-02-0034 in The Cancer Genome Atlas–Glioblastoma Multiforme repository of MR volumes of glioblastoma multiforme cases. Right: Spatial distribution of MR imaging–defined habitats within the tumor. The blue region (low T1 postgadolinium, low fluid-attenuated inversion recovery) is particularly notable because it presumably represents a habitat with low blood flow but high cell density, indicating a population presumably adapted to hypoxic acidic conditions.

Furthermore, other selection forces not related to perfusion are likely to be present within tumors. For example, evolutionary models suggest that cancer cells, even in stable microenvironments, tend to speciate into “engineers” that maximize tumor cell growth by promoting angiogenesis and “pioneers” that proliferate by invading normal issue and co-opting the blood supply. These invasive tumor phenotypes can exist only at the tumor edge, where movement into a normal tissue microenvironment can be rewarded by increased proliferation. This evolutionary dynamic may contribute to distinct differences between the tumor edges and the tumor cores, which frequently can be seen at analysis of cross-sectional images (Fig 5).

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Figure 5a: CT images obtained with conventional entropy filtering in two patients with non–small cell lung cancer with no apparent textural differences show similar entropy values across all sections. 

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Figure 5b: Contour plots obtained after the CT scans were convolved with the entropy filter. Further subdividing each section in the tumor stack into tumor edge and core regions (dotted black contour) reveals varying textural behavior across sections. Two distinct patterns have emerged, and preliminary analysis shows that the change of mean entropy value between core and edge regions correlates negatively with survival.

Interpretation of the subsegmentation of tumors will require computational models to understand and predict the complex nonlinear dynamics that lead to heterogeneous combinations of radiographic features. We have exploited ecologic methods and models to investigate regional variations in cancer environmental and cellular properties that lead to specific imaging characteristics. Conceptually, this approach assumes that regional variations in tumors can be viewed as a coalition of distinct ecologic communities or habitats of cells in which the environment is governed, at least to first order, by variations in vascular density and blood flow. The environmental conditions that result from alterations in blood flow, such as hypoxia, acidosis, immune response, growth factors, and glucose, represent evolutionary selection forces that give rise to local-regional phenotypic adaptations. Phenotypic alterations can result from epigenetic, genetic, or chromosomal rearrangements, and these in turn will affect prognosis and response to therapy. Changes in habitats or the relative abundance of specific ecologic communities over time and in response to therapy may be a valuable metric with which to measure treatment efficacy and emergence of resistant populations.

 

Emerging Strategies for Tumor Habitat Characterization

A method for converting images to spatially explicit tumor habitats is shown in Figure 4. Here, three-dimensional MR imaging data sets from a glioblastoma are segmented. Each voxel in the tumor is defined by a scale that includes its image intensity in different sequences. In this case, the imaging sets are from (a) a contrast-enhanced T1 sequence, (b) a fast spin-echo T2 sequence, and (c) a fluid-attenuated inversion-recovery (or FLAIR) sequence. Voxels in each sequence can be defined as high or low based on their value compared with the mean signal value. By using just two sequences, a contrast-enhanced T1 sequence and a fluid-attenuated inversion-recovery sequence, we can define four habitats: high or low postgadolinium T1 divided into high or low fluid-attenuated inversion recovery. When these voxel habitats are projected into the tumor volume, we find they cluster into spatially distinct regions. These habitats can be evaluated both in terms of their relative contributions to the total tumor volume and in terms of their interactions with each other, based on the imaging characteristics at the interfaces between regions. Similar spatially explicit analysis can be performed with CT scans (Fig 5).

Analysis of spatial patterns in cross-sectional images will ultimately require methods that bridge spatial scales from microns to millimeters. One possible method is a general class of numeric tools that is already widely used in terrestrial and marine ecology research to link species occurrence or abundance with environmental parameters. Species distribution models (4851) are used to gain ecologic and evolutionary insights and to predict distributions of species or morphs across landscapes, sometimes extrapolating in space and time. They can easily be used to link the environmental selection forces in MR imaging-defined habitats to the evolutionary dynamics of cancer cells.

Summary

Imaging can have an enormous role in the development and implementation of patient-specific therapies in cancer. The achievement of this goal will require new methods that expand and ultimately replace the current subjective qualitative assessments of tumor characteristics. The need for quantitative imaging has been clearly recognized by the National Cancer Institute and has resulted in formation of the Quantitative Imaging Network. A critical objective of this imaging consortium is to use objective, reproducible, and quantitative feature metrics extracted from clinical images to develop patient-specific imaging-based prognostic models and personalized cancer therapies.

It is increasingly clear that tumors are not homogeneous organlike systems. Rather, they contain regional coalitions of ecologic communities that consist of evolving cancer, stroma, and immune cell populations. The clinical consequence of such niche variations is that spatial and temporal variations of tumor phenotypes will inevitably evolve and present substantial challenges to targeted therapies. Hence, future research in cancer imaging will likely focus on spatially explicit analysis of tumor regions.

Clinical imaging can readily characterize regional variations in blood flow, cell density, and necrosis. When viewed in a Darwinian evolutionary context, these features reflect regional variations in environmental selection forces and can, at least in principle, be used to predict the likely adaptive strategies of the local cancer population. Hence, analyses of radiologic data can be used to inform evolutionary models and then can be mapped to regional population dynamics. Ecologic and evolutionary principles may provide a theoretical framework to link imaging to the cellular and molecular features of cancer cells and ultimately lead to a more comprehensive understanding of specific cancer biology in individual patients.

 

Essentials

  • • Marked heterogeneity in genetic properties of different cells in the same tumor is typical and reflects ongoing intratumoral evolution.
  • • Evolution within tumors is governed by Darwinian dynamics, with identifiable environmental selection forces that interact with phenotypic (not genotypic) properties of tumor cells in a predictable and reproducible manner; clinical imaging is uniquely suited to measure temporal and spatial heterogeneity within tumors that is both a cause and a consequence of this evolution.
  • • Subjective radiologic descriptors of cancers are inadequate to capture this heterogeneity and must be replaced by quantitative metrics that enable statistical comparisons between features describing intratumoral heterogeneity and clinical outcomes and molecular properties.
  • • Spatially explicit mapping of tumor regions, for example by superimposing multiple imaging sequences, may permit patient-specific characterization of intratumoral evolution and ecology, leading to patient- and tumor-specific therapies.
  • • We summarize current information on quantitative analysis of radiologic images and propose future quantitative imaging must become spatially explicit to identify intratumoral habitats before and during therapy.

Disclosures of Conflicts of Interest: R.A.G. No relevant conflicts of interest to disclose. O.G. No relevant conflicts of interest to disclose.R.J.G. No relevant conflicts of interest to disclose.

 

Acknowledgments

The authors thank Mark Lloyd, MS; Joel Brown, PhD; Dmitry Goldgoff, PhD; and Larry Hall, PhD, for their input to image analysis and for their lively and informative discussions.

Footnotes

  • Received December 18, 2012; revision requested February 5, 2013; revision received March 11; accepted April 9; final version accepted April 29.
  • Funding: This research was supported by the National Institutes of Health (grants U54CA143970-01, U01CA143062; R01CA077575, andR01CA170595).

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Recent comprehensive review on the role of ultrasound in breast cancer management

Writer, reporter and curator: Dror Nir, PhD

Breast Cancer Imaging

Word Cloud Created by Noam Steiner Tomer 8/10/2020

The paper below by R Hooley is a beautifully written review on how ultrasound could (and should) be practiced to better support breast cancer screening, staging, and treatment. The authors went as well into the effort of describing the benefits from combining ultrasonography with the other frequently used imaging modalities; i.e. mammography, tomosynthesis and MRI. Post treatment use of ultrasound is not discussed although this is a major task for this modality.

I would like to recommend giving attention to two very small (but for me very important) paragraphs: “Speed of Sound Imaging” and “Lesion Annotation”

Enjoy…

Breast Ultrasonography: State of the Art

Regina J. Hooley, MDLeslie M. Scoutt, MD and Liane E. Philpotts, MD

Department of Diagnostic Radiology, Yale University School of Medicine, 333 Cedar St, PO Box 208042, New Haven, CT 06520-8042.

Address correspondence to R.J.H. (e-mail: regina.hooley@yale.edu).

Ultrasonography (US) has become an indispensable tool in breast imaging. Breast US was first introduced in the 1950s by using radar techniques adapted from the U.S. Navy (1). Over the next several decades, US in breast imaging was primarily used to distinguish cystic from solid masses. This was clinically important, as a simple breast cyst is a benign finding that does not require further work-up. However, most solid breast lesions remained indeterminate and required biopsy, as US was not adequately specific in differentiating benign from malignant solid breast masses. However, recent advances in US technology have allowed improved characterization of solid masses.

In 1995, Stavros et al (2) published a landmark study demonstrating that solid breast lesions could be confidently characterized as benign or malignant by using high-resolution grays-cale US imaging. Benign US features include few (two or three) gentle lobulations, ellipsoid shape, and a thin capsule, as well as a homogeneously echogenic echotexture. Malignant US features include spiculation, taller-than-wide orientation, angular margins, microcalcifications, and posterior acoustic shadowing. With these sonographic features, a negative predictive value of 99.5% and a sensitivity of 98.4% for the diagnosis of malignancy were achieved. These results have subsequently been validated by others (3,4) and remain the cornerstone of US characterization of breast lesions today. These features are essential in the comprehensive US assessment of breast lesions, described by the Breast Imaging and Reporting Data System (BI-RADS) (5).

US is both an adjunct and a complement to mammography. Advances in US technology include harmonic imaging, compound imaging, power Doppler, faster frame rates, higher resolution transducers, and, more recently, elastography and three-dimensional (3D) US. Currently accepted clinical indications include evaluation of palpable abnormalities and characterization of masses detected at mammography and magnetic resonance (MR) imaging. US may also be used as an adjuvant breast cancer screening modality in women with dense breast tissue and a negative mammogram. These applications of breast US have broadened the spectrum of sonographic features currently assessed, even allowing detection of noninvasive disease, a huge advance beyond the early simplistic cyst-versus-solid assessment. In addition, US is currently the primary imaging modality recommended to guide interventional breast procedures.

The most subtle US features of breast cancers are likely to be best detected by physicians who routinely synthesize findings from multiple imaging modalities and clinical information, as well as perform targeted US to correlate with lesions detected at mammography or MR imaging. Having a strong understanding of the technical applications of US and image optimization, in addition to strong interpretive and interventional US skills, is essential for today’s breast imager.

 

Optimal Imaging Technique

US is operator dependent, and meticulous attention to scanning technique as well as knowledge of the various technical options available are imperative for an optimized and accurate breast US examination. US is an interactive, dynamic modality. Although breast US scanning may be performed by a sonographer or mammography technologist, the radiologist also benefits greatly from hands-on scanning (Fig 1). Berg et al (6) demonstrated that US interpretive performance was improved if the radiologist had direct experience performing breast US scanning, including rescanning after the technologist. Real-time scanning also provides the opportunity for thorough evaluation of lesions and permits detailed lesion analysis compared with analyzing static images on a workstation. Subtle irregular or indistinct margins, artifacts, and architectural distortions may be difficult to capture on static images. Real-time scanning also allows the operator to assess lesion mobility, location, and relationship to adjacent structures and allows direct assessment of palpable lesions and other clinical findings. Moreover, careful review of any prior imaging studies is imperative to ensure accurate lesion correlation.

Picture1

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The US examination is generally well tolerated by the patient. Gentle but firm transducer pressure and optimal patient positioning are essential, with the patient’s arm relaxed and flexed behind the head. Medial lesions should generally be scanned in the supine position, and lateral lesions, including the axilla, should usually be scanned with the patient in the contralateral oblique position. This allows for elimination of potential artifact secondary to inadequate compression of breast tissue.

 

Gray-Scale Imaging

Typical US transducers used in breast imaging today have between 192 and 256 elements along the long axis. When scanning the breast, a linear 12–5-MHz transducer is commonly used. However, in small-breasted women (with breast thickness < 3 cm) or when performing targeted US to evaluate a superficial lesion, a linear 17–5-MHz transducer may be used. Such high-frequency transducers provide superb spatial and soft-tissue resolution, permitting substantially improved differentiation of subtle shades of gray, margin resolution, and lesion conspicuity in the background of normal breast tissue (Fig 2). However, the cost of such a high insonating frequency is decreased penetration due to attenuation of the ultrasound beam, making visualization of deep posterior tissue difficult (ie, greater than 3 cm in depth by using a linear 17–5-MHz transducer or greater than 5 cm in depth by using a linear 12–5-MHz transducer).

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During the initial US survey of the region of interest in the breast, the depth should be set so that the pectoralis muscle is visualized along the posterior margin of the field of view. Initial gain settings should be adjusted so that fat at all levels is displayed as a midlevel gray. Simple cysts are anechoic. Compared with breast fat, most solid masses are hypoechoic, while the skin, Cooper ligaments, and fibrous tissue are echogenic. Time gain compensation, which adjusts image brightness at different depths from the skin to compensate for attenuation of the ultrasound beam as it penetrates into the breast tissue, may be set manually or, with appropriate equipment, may be adjusted automatically during real-time scanning or even during postprocessing of the image.

When searching for a lesion initially identified at mammography or MR imaging, careful correlation with lesion depth and surrounding anatomic structures is imperative. Lesion location may be affected by the patient’s position, which differs during mammography, US, and MR imaging examinations. Attention to surrounding background tissue may assist in accurate lesion correlation across multiple modalities. If a mass identified at mammography or MR imaging is surrounded entirely by fat or fibroglandular tissue, at US it should also be surrounded by hypoechoic fat or echogenic fibroglandular tissue, respectively. Similarly, careful attention to the region of clinical concern is necessary when scanning a palpable abnormality to ensure that the correct area is scanned. The examiner should place a finger on the palpable abnormality and then place the transducer directly over the region. Occasionally, the US examination may be performed in the sitting position if a breast mass can only be palpated when the patient is upright.

After a lesion is identified, or while searching for a subtle finding, the depth or field of view may be adjusted as needed. The depth should be decreased to better visualize more superficial structures or increased to better visualize deeper posterior lesions. The use of multiple focal zones also improves resolution at multiple depths simultaneously and should be used, if available. Although this reduces the frame rate, the reduction is typically negligible when scanning relatively superficial structures within the breast. If a single focal zone is selected to better evaluate a single lesion, the focal zone should be centered at the same level as the area of interest or minimally posterior to the area of interest, for optimal visualization.

 

Spatial Compounding, Speckle Reduction, and Harmonic Imaging

Spatial compound imaging and speckle reduction are available on most high-end US units and should be routinely utilized throughout the breast US examination. Unlike standard US imaging, in which ultrasound pulses are transmitted in a single direction perpendicular to the long axis of the transducer, spatial compounding utilizes electronic beam steering to acquire multiple images obtained from different angles within the plane of imaging (79). A single composite image is then obtained in real-time by averaging frames obtained by ultrasound beams acquired from these multiple angles (10). Artifactual echoes, including speckle and other spurious noise, as well as posterior acoustic patterns, including posterior enhancement (characteristic of simple cysts) and posterior acoustic shadowing (characteristic of some solid masses), are substantially reduced. However, returning echoes from real structures are enhanced, providing improved contrast resolution (9) so that ligaments, edge definition, and lesion margins, including spiculations, echogenic halos, posterior and lateral borders, as well as microcalcifications, are better defined. Speckle reduction is a real-time postprocessing technique that also enhances contrast resolution, improves border definition, is complementary to spatial compounding, and can be used simultaneously.

When a lesion is identified, harmonic imaging may also be applied—usually along with spatial compounding—to better characterize a cyst or a subtle solid mass. The simultaneous use of spatial compounding and harmonic imaging may decrease the frame rate, although this usually does not impair real-time evaluation. Harmonic imaging relies on filtering the multiple higher harmonic frequencies, which are multiples of the fundamental frequencies. All tissue is essentially nonlinear to sound propagation and the ultrasound pulse is distorted as it travels through breast tissue, creating harmonic frequencies (9). The returning ultrasound signal therefore contains both the original fundamental frequency and its multiples, or harmonics. Harmonic imaging allows the higher harmonic frequencies to be selected and used to create the gray-scale images (89). Lower-frequency superficial reverberation echoes are thereby reduced, allowing improved characterization of simple cysts (particularly if small) through the elimination of artifactual internal echoes often seen in fluid. Harmonic imaging also improves lateral resolution (10) and may also improve contrast between fatty tissue and subtle lesions, allowing better definition of subtle lesion margins and posterior shadowing (Fig 3).

 

Picture3a

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Speed of Sound Imaging

Conventional US systems set the speed of sound in tissue at a uniform 1540 m/sec (10). However, the speed of sound in tissues of different composition is variable and this variability may compromise US image quality. Breast tissue usually contains fat, and the speed of sound in fat, of approximately 1430–1470 m/sec, is slower than the assumed standard (11). Accurate speed of sound imaging, in which the US transducer may be optimized for the presence of fat within breast tissue, has been shown to improve lateral resolution (12). Additionally, it can be used to better characterize tissue interfaces, lesion margins, and microcalcifications (13) and may also be useful to identify subtle hypoechoic lesions surrounded by fatty breast tissue. Speed of sound imaging is available on most high-end modern US units and is an optional adjustment, depending on whether predominately fatty, predominately dense, or mixed breast tissue is being scanned.

 

 Lesion Annotation

When a mass is identified and the US settings are optimized, the mass should be scanned with US “sweeps” through the entire lesion in multiple planes. Images of the lesion in the radial and antiradial views should be captured and annotated with “right” or “left,” clock face position, and centimeters from the nipple. Radial and anti-radial scanning planes are preferred over standard transverse and sagittal scanning planes because scanning the breast along the normal axis of the mammary ducts and lobar tissues allows improved understanding of the site of lesion origin and better visualization of ductal extension and helps narrow the differential diagnosis (14). Images should be captured with and without calipers to allow margin assessment on static images. Lesion size should be measured in three dimensions, reporting the longest horizontal diameter first, followed by the anteroposterior diameter, then the orthogonal horizontal.

 

 Extended-Field-of-View Imaging

Advanced US technology permits extended-field-of-view imaging beyond the footprint of the transducer. By using a freehand technique, the operator slides the transducer along the desired region to be imaged. The resultant images are stored in real-time and, by applying pattern recognition, a single large-field-of-view image is obtained (7). This can be helpful in measuring very large lesions as well as the distance between multiple structures in the breast and for assessing the relationship of multifocal disease (located in the same quadrant as the index cancer or within 4–5 cm of the index cancer, along the same duct system) and/or multicentric disease (located in a different quadrant than the index cancer, or at a distance greater than 4–5 cm, along a different duct system).

 

 Doppler US

Early studies investigating the use of color, power, and quantitative spectral Doppler US in the breast reported that the presence of increased vascularity, as well as changes in the pulsatility and resistive indexes, showed that these Doppler findings could be used to reliably characterize malignant lesions (15,16). However, other investigators have demonstrated substantial overlap of many of these Doppler characteristics in both benign and malignant breast lesions (17). Gokalp et al (18) also demonstrated that the addition of power Doppler US and spectral analysis to BI-RADS US features of solid breast masses did not improve specificity. While the current BI-RADS US lexicon recommends evaluation of lesion vascularity, it is not considered mandatory (5).

Power Doppler is generally more sensitive than color Doppler to low-flow volumes typical of breast lesions. Light transducer pressure is necessary to prevent occlusion of slow flow owing to compression of the vessel lumen. Currently both power and color Doppler are complementary tools to gray-scale imaging, and power Doppler may improve sensitivity in detecting malignant breast lesions (18,19). Demonstration of irregular branching central or penetrating vascularity within a solid mass raises suspicion of malignant neovascularity (20). Recently, the parallel artery and vein sign has been described as a reliable feature that has the potential to enable prediction of benignity in solid masses so that biopsy may be avoided. In a single study, a paired artery and vein was present in 13.2% of over 1000 masses at US-guided CNB and although an infrequent finding, the specificity for benignity was 99.3% and the false-negative rate was only 1.4%, with two malignancies among 142 masses in which the parallel artery and vein sign was identified (21).

Color and power Doppler US are also useful to evaluate cysts and complex cystic masses that contain a solid component. High-grade invasive cancer and metastatic lymph nodes may occasionally appear anechoic. Demonstration of flow within an otherwise simple appearing cyst, a complicated cyst, or a complex mass confirms the presence of a suspicious solid component, which requires biopsy. In addition, twinkle artifact seen with color Doppler US is useful to identify a biopsy marker clip or subtle echogenic microcalcifications (Fig 4). This Doppler color artifact occurs secondary to the presence of a strong reflecting granular surface and results in a rapidly changing mix of color adjacent to and behind the reflector (22). Care must be taken to avoid mistaking twinkle artifact for true vascular flow and, if in doubt, a spectral Doppler tracing can be obtained, as a normal vascular waveform will not be seen with a twinkle artifact.

 

picture4a

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Elastography

At physical examination, it has long been recognized that malignant tumors tend to feel hard when compared with benign lesions. US elastography can be used to measure tissue stiffness with the potential to improve specificity in the diagnosis of breast masses. There are two forms of US elastography available today: strain and shear wave. With either technique, acoustic information regarding lesion stiffness is converted into a black-and-white or color-scaled image that can also be superimposed on top of a B-mode gray-scale image.

Strain elastography requires gentle compression with a US probe or natural motion (such as heart beat, vascular pulsation, or respiration) and results in tissue displacement, or strain. Strain (ie, tissue compression and motion) is decreased in hard tissues compared with soft tissue (23). The information obtained with strain elastography provides qualitative information, although strain ratios may be calculated by comparing the strain of a lesion to the surrounding normal tissue. Benign breast lesions generally have lower ratios in comparison to malignant lesions (24,25).

Shear-wave elastography is based on the principle of acoustic radiation force. With use of light transducer pressure, transient automatic pulses can be generated by the US probe, inducing transversely oriented shear waves in tissue. The US system captures the velocity of these shear waves, which travel faster in hard tissue compared with soft tissue (26). Shear-wave elastography provides quantitative information because the elasticity of the tissue can be measured in meters per second or in kilopascals, a unit of pressure.

Elastography features such as strain ratios, size ratios, shape, homogeneity, and maximum lesion stiffness may complement conventional US in the analysis of breast lesions. Malignant masses evaluated with elastography tend to be more irregular, heterogeneous, and typically appear larger at elastography than at grayscale imaging (Fig 5) (27,28). Although malignant lesions generally also exhibit maximum stiffness greater than 80–100 kPa (28,29), caution is necessary when applying these numerical values to lesion analysis. Berg et al (28) reported three cancers among 115 masses with maximum stiffness between 20 and 30 kPa, for a 2.6% malignancy rate; 25 cancers among 281 masses with maximum stiffness between 30 and 80 kPa, for an 8.9% malignancy rate; and 61 cancers among 153 masses with maximum stiffness between 80 and 160 kPa, for a 39.9% malignancy rate (28). Invasive cancers with high histologic grade, large tumor size, nodal involvement, and vascular invasion have also been shown to be significantly correlated with high mean stiffness at shear-wave elastography (30).

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Elastography may be useful in improving the specificity of US evaluation of BI-RADS 3 and 4A lesions, including complicated cysts. Berg and colleagues (28) showed that by using qualitative shear-wave elastography and color assessment of lesion stiffness, oval shape, and a maximum elasticity value of less than 80 kPa, unnecessary biopsy of low-suspicion BI-RADS 4A masses could be reduced without a significant loss in sensitivity. Several investigators have proposed a variety of imaging classifications using strain elastography, mostly based on the color pattern (27,31,32). A “bull’s eye” artifact has also been described as a characteristic feature present in benign breast cysts, which may appear as a round or oval lesion with a stiff rim associated with two soft spots, one located centrally and the other posteriorly (33).

Despite these initial promising studies regarding the role of US elastography in the analysis of breast lesions, limitations do exist. Strain and shear-wave elastography are quite different methods of measuring breast tissue stiffness, and the application of these methods varies across different commercial manufacturers. Inter- and intraobserver variability may be relatively high because the elastogram may be affected by differences in degree and method of compression. With strain elastography, a quality indicator that is an associated color bar or numerical value may be helpful to ensure proper light compression. Shear-wave elastography has been shown to be less operator-dependent, as tissue compression is initiated by the US probe in a standard, reproducible fashion (34) and only light transducer pressure is necessary. In addition, there is currently no universal color-coding standard and, depending on the manufacturer and/or operator preference, stiff lesions may be arbitrarily coded to appear red while soft lesions appear blue, or vice versa. Some elastography features such as the “bull’s eye” artifact are only seen on specific US systems. Lesions deeper than 2 cm are less accurately characterized by means of elastography. Moreover, one must be aware that soft cancers and hard benign lesions exist. Therefore, careful correlation of elastography with B-mode US features and mammography is essential. Future studies and further technical advances, including the creation of more uniformity across different US manufacturers, will ultimately determine the usefulness of elastography in clinical practice.

Three-dimensional US

Both handheld and automated high-resolution linear 3D transducers are now available for use in breast imaging. With a single pass of the ultrasound beam, a 3D reconstructed image can be formed in the coronal, sagittal, and transverse planes, potentially allowing more accurate assessment of anatomic structures and tumor margins (Fig 6). Few studies regarding the performance of 3D US in the breast exist, but a preliminary study demonstrated improved characterization of malignant lesions (35). Automated supine whole-breast US using 3D technology is now widely available for use in the screening setting (see section on screening breast US). Three-dimensional US may also be used in addition to computed tomography for image-guided radiation therapy (36) and has a potential role in assessing tumor response to neoadjuvant chemotherapy.

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US Features of Benign and Malignant Breast Lesions

Cysts

Although for many years the main function of breast US was to differentiate cysts from solid masses, this differentiation can at times be problematic, particularly if the lesion is small or located deep in the breast. Simple cysts are defined as circumscribed, anechoic masses with a thin imperceptible wall and enhanced through transmission (provided spatial compounding is not used). By convention, simple cysts may also contain up to a single thin septation. Simple cysts are confidently characterized with virtually 100% accuracy at US (14,37), provided that they are not very small (< 5 mm in size) or not located in deep tissue. Complicated cysts are hypoechoic with no discernable Doppler flow, contain internal echoes, and may also exhibit indistinct margins, and/or lack posterior acoustic enhancement. Clustered microcysts consist of a cluster of tiny (<2–3 mm in size) anechoic foci with thin (< 0.5 mm in thickness) intervening septations.

Complicated cysts are very common sonographic findings and the majority are benign. In multiple studies, which evaluated over 1400 complicated cysts and microcysts, the malignancy rate ranged from 0% to 0.8% (3844). Most complicated cysts and clustered microcysts with a palpable or mammographic correlate are classified as BI-RADS 3 and require short-interval imaging follow-up or, occasionally, US-guided aspiration. However, in the screening US setting, if multiple and bilateral complicated and simple cysts are present (ie, at least three cysts with at least one cyst in each breast), these complicated cysts can be assessed as benign, BI-RADS 2, requiring no additional follow-up (38).

Complicated cysts should never demonstrate internal vascularity at color Doppler interrogation. The presence of a solid component, mural nodule, thickened septation, or thickened wall within a cystic mass precludes the diagnosis of a benign complicated cyst. These complex masses require biopsy, as some cancers may have cystic components. The application of compound imaging and harmonics, color Doppler, and potentially elastography may help differentiate benign complicated cysts from malignant cystic-appearing masses and reduce the need for additional follow-up or biopsy.

Solid Masses

Sonographic features of benign-appearing solid masses include an oval or ellipsoid shape, “wider-than-tall” orientation parallel to the skin, circumscribed margins, gentle and smooth (less than three) lobulations, as well as absence of any malignant features (2,45) (Fig 2b). Lesions with these features are commonly fibroadenomas or other benign masses and can often be safely followed, even if the mass is palpable (4648). Malignant features of solid masses include spiculations, angular margins, marked hypoechogenicity, posterior acoustic shadowing, microcalcifications, ductal extension, branching pattern, and 1–2-mm microlobulations (2,45) (Figs 1b,56). These are also often taller-than-wide lesions with a nonparallel orientation to the skin and may occasionally be associated with thickened Cooper ligaments and/or or skin thickening. Most cancers have more than one malignant feature, spiculation being the most specific and angular margins the most common (2).

There is, however, considerable overlap between these benign and malignant US features and careful scanning technique, as well as direct correlation with mammography, is essential. For example, some high-grade invasive ductal carcinomas with central necrosis, as well as the well-differentiated mucinous and medullary subtypes, may present as circumscribed, oval, hypoechoic masses that may look like complicated cysts with low-level internal echoes at US. Benign focal fibrous breast tissue or postoperative scars can appear as irregular shadowing masses on US images. Furthermore, while echogenic lesions are often benign and frequently represent lipomas or fibrous tissue, echogenic cancers do rarely occur (Figs 78) (49,50). The presence of a single malignant feature, despite the presence of multiple benign features, precludes a benign classification and mandates biopsy, with the exception of fat necrosis and postoperative scars exhibiting typical benign mammographic features. Likewise, a mass with a benign US appearance should be biopsied if it exhibits any suspicious mammographic features.

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 Ductal Carcinoma in Situ

Ductal carcinoma in situ (DCIS) is characteristically associated with microcalcifications detected at mammography, but may also be detected at US since they are often associated with a subtle hypoechoic mass, which may indicate an invasive mammographically occult component. US features associated with DCIS most commonly include a hypoechoic mass with an irregular shape, microlobulated margins, no posterior acoustic features, and no internal vascularity. Ductal abnormalities, intracystic lesions, and architectural distortions may also be present (5153). Noncalcified DCIS manifesting as a solid mass at US is more frequently found in non–high-grade than high-grade DCIS, which is more often associated with microcalcifications and ductal changes (54). US can depict microcalcifications, particularly those in clusters greater than 10 mm in size and located in a hypoechoic mass or a ductlike structure (Fig 9) (55). Malignant calcifications are more likely to be detected sonographically than are benign calcifications, which may be obscured by surrounding echogenic breast tissue (55,56). Although US is inferior to mammography in the detection of suspicious microcalcifications, the main benefit of US detection of DCIS is to identify the invasive component and guide biopsy procedures.

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Breast US in Clinical Practice

Current indications for breast US as recommended by the American College of Radiology Practice Guidelines include the evaluation of palpable abnormalities or other breast symptoms, assessment of mammographic or MR imaging–detected abnormalities, and evaluation of breast implants (57). Additionally, US is routinely used for guidance during interventional procedures, treatment planning for radiation therapy, screening in certain groups of women, and evaluation of axillary lymph nodes. Much literature has been written on these uses and a comprehensive discussion is beyond the scope of this article. A few important and timely topics, however, will be reviewed.

 

 

BI-RADS US

The BI-RADS US lexicon was introduced in 2003, and subsequently, there have been several studies assessing the accuracy of BI-RADS US classification of breast lesions. Low to moderate interobserver agreement has been found in the description of margins (especially noncircumscribed margins), echogenicity, and posterior acoustic features. Abdullah et al (58) reported low interobserver agreement especially for small masses and for malignant masses. Given the importance of margin analysis in the characterization of benign and malignant lesions, this variability is potentially problematic. Studies have also shown variable results in the use of the final assessment categories. In clinical settings, Raza et al (46) showed inconsistent use of the BI-RADS 3 (probably benign) category in 14.0% of cases when biopsy was recommended. Abdullah et al also demonstrated fair and poor interobserver agreement for BI-RADS 4 (suspicious for malignancy) a, b, and c subcategories (58). However, Henig et al (59) reported more promising results, with malignancy rates in categories 3, 4, and 5 to be similar to those seen with mammographic categorization (1.2%, 17%, and 94%, respectively).

 

 Evaluation of Mammographic Findings

Targeted US is complementary to diagnostic mammography because of its ability to differentiate cystic and solid lesions.US is also useful in the work up of subtle asymmetries, as it can help identify or exclude the presence of an underlying mass. True hypoechoic lesions can often be differentiated from prominent fat lobules by scanning in multiple planes, because true lesions usually do not blend or elongate into adjacent tissue. With the introduction of digital breast tomosynthesis for mammographic imaging, US will play yet another important role. As mammographic lesions can often be detected, localized, and have adequate margin assessment on 3D images, patients with lesions detected on digital breast tomosynthesis images at screening may often be referred directly to US, avoiding additional mammographic imaging and its associated costs and radiation exposure (Fig 10). This will place an even greater importance on high-quality US.

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Evaluation of the Symptomatic Patient:Palpable Masses, Breast Pain, and Nipple Discharge

US is essential in the evaluation of patients with the common clinical complaint of either a palpable mass or focal persistent breast pain. Unlike focal breast pain, which may be occasionally associated with benign or malignant lesions, diffuse breast pain (bilateral or unilateral), as well as cyclic breast pain, requires only clinical follow-up, as it is usually physiologic with an extremely low likelihood of malignancy (60,61). In patients with isolated focal breast pain, the role of sonography may be limited to patient reassurance (61). In women younger than 30 years of age, with a palpable lump or focal breast pain, US is the primary imaging test, with a sensitivity and negative predictive value of nearly 100% (62). Symptomatic women older than 30 years usually require both US and mammography, and in these patients, the negative predictive value approaches 100% (63,64). Lehman et al (65) demonstrated that in symptomatic women aged 30–39 years, the risk of malignancy was 1.9% and the added value of adjunct mammography in addition to US was low. Identification of a benign-appearing solid lesion at US in a symptomatic woman can negate the need for needle biopsy, as many of these masses can safely be monitored with short-interval follow-up US (4648), usually performed at 6 months. A suspicious mass identified at US can promptly undergo biopsy with US guidance.

US can also be used as an alternative or an addition to ductography in patients who present with unilateral, spontaneous bloody, clear, or serosanguinous nipple discharge (66). Among women with worrisome nipple discharge, ductography can demonstrate an abnormality in 59%–82% of women (67,68), MR imaging may demonstrate a suspicious abnormality in 34% of women (68), and US has been shown to demonstrate a subareolar mass or an intraductal mass or filling defect in up to 14% of women (67). If US can be used to identify a retroareolar mass or an intraductal mass, US-guided biopsy can be performed and ductography may be avoided (Fig 11). US may be limited, however, as small peripherally located intraductal masses or masses without an associated dilated duct may not be identified. Therefore, galactography, MR imaging, and/or major duct excision may still be necessary in the symptomatic patient with a negative US examination.

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Finally, in the pregnant or lactating patient who presents with a palpable breast mass, focal breast pain, or bloody nipple discharge, US is also the initial imaging modality of choice. Targeted US examination in these patients can be used to identify most benign and malignant masses, including fibroadenomas, galactocoeles, lactating adenomas, abscesses, and invasive carcinomas. In a recent study by Robbins et al (69), a negative predictive value of 100% was found among 122 lesions evaluated with US in lactating, pregnant, or postpartum women. This is much higher than the pregnancy-associated breast cancer sensitivity of mammography, which has been reported in the range of 78%–87% (70,71). The diminished sensitivity of mammography is likely due to increased parenchymal density seen in these patients. However, since lactating breast parenchyma is more echogenic than most breast masses, hypoechoic breast cancers are more readily detected at US in pregnant patients.

 

 

Supplemental Screening Breast US

Because of the known limitations of mammography, particularly in women with dense breast tissue, supplemental screening with whole-breast US, in addition to mammography, is increasingly gaining widespread acceptance. Numerous independent studies have demonstrated that the addition of a single screening or whole-breast US examination in women with dense breast tissue at mammography will yield an additional 2.3–4.6 mammographically occult cancers per 1000 women (7280). Mammographically occult cancers detected on US images are generally small node-negative invasive cancers (Fig 12) (81). However, few studies have investigated the performance of incident screening breast US, and the optimal screening US interval is unknown. Berg and colleagues (82) recently demonstrated that incident annual supplemental screening US in intermediate- and high-risk women with mammographically dense breast tissue enabled detection of an additional 3.7 cancers per 1000 women screened.

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Handheld screening breast US is highly operator-dependent and the majority of screening breast US studies have relied on physician-performed examinations. As per the ACRIN 6666 protocol, a normal screening US examination should consist of a minimum of one image in each quadrant and one behind the nipple (83). Two studies have also demonstrated that technologist-performed handheld screening breast US can achieve similar cancer detection rates (76,78).

Automated whole-breast US is a recently developed alternative to traditional handheld screening breast US, in which standardized, uniform image sets may be readily obtained by a nonradiologist. Automated whole-breast US systems may utilize a standard US unit and a linear-array transducer attached to a computer-guided mechanical arm or a dedicated screening US unit with a 15-cm wide transducer (84,85). With these systems, over 3000 overlapping sagittal, transverse, and coronal images are obtained and available for later review by the radiologist, with associated 3D reconstruction. The advantages include less operator dependence, increased radiologist efficiency, and increased reproducibility, which could aid in follow-up of lesions.

A multi-institutional study has shown that supplemental automated whole-breast US can depict an additional 3.6 cancer per 1000 women screened, similar to physician-performed handheld screening US (85). However, disadvantages include the limited ability to scan the entire breast, particularly posterior regions in large breasts, time-consuming review of a large number of images by the radiologist, and the need to recall patients for a second US examination to re-evaluate indeterminate findings. Moreover, few investigators have compared the use of handheld with automated breast US screening. A single small recent study by Chang et al (86) demonstrated that of 14 cancers initially detected at handheld screening, only 57%–79% were also detected by three separate readers on automated whole-breast US images, with the two cancers missed by all three readers at automated whole-breast US, each less than 1 cm in size.

The use of supplemental screening breast US, performed in addition to mammography, remains controversial despite proof of the ability to detect small mammographically occult cancers. US has limited value for the detection of small clustered microcalcifications without an associated mass lesion. Low positive predictive values of biopsies performed of less than 12% have been consistently reported (77,87). No outcome study has been able to demonstrate a direct decrease in patient mortality due to the detection of these additional small and mammographically occult cancers. This would require a long, randomized screening trial, which is not feasible. Rationally, however, the early detection and treatment of additional small breast cancers should improve outcomes and reduce overall morbidity and mortality. Many insurance companies will not reimburse for screening breast US and historically, this examination has not been widely accepted in the United States.

Nevertheless, because of both the known efficacy of supplemental screening breast US and overall increased breast cancer awareness, more patients and clinicians are requesting this examination. In fact, some states now mandate that radiologists inform women of their breast density and advise them to discuss supplemental screening with their doctors. Although supplemental screening breast MR imaging is usually preferred for women who are at very high risk for breast cancer (ie, women with a lifetime risk of over 20%, for example those women who are BRCA positive or have multiple first-degree relatives with a history of premenopausal breast cancer), screening breast US should be considered in women at very high risk for breast cancer who cannot tolerate breast MR imaging, as well as those women with dense breast tissue and intermediate risk (ie, lifetime risk of 15%–20%, for example those women whose only risk factor is a personal history of breast cancer or previous biopsy of a high-risk lesion), or even average risk. Future studies are needed to establish strategies to reduce false-positive results and continue to optimize both technologist-performed handheld screening US and automated whole-breast US in women with mammographically dense breast tissue.

 

 Use of US for MR Imaging–depicted Abnormalities

MR imaging of the breast is now an integral part of breast imaging, most commonly performed to screen high-risk women and to further assess the stage in patients with newly diagnosed breast cancers. While MR has a higher sensitivity than mammography for detecting breast cancer, the specificity is relatively low (88). Lesions detected on MR images are often mammographically occult, but many can be detected with targeted US (Fig 13). Besides further US characterization of an MR imaging–detected lesion, US may be used to guide intervention for lesions initially detected at MR imaging. US-guided biopsies are considerably less expensive, less time consuming, and more comfortable for the patient than MR imaging–guided biopsies.

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Some suspicious lesions detected at MR imaging will represent invasive ductal or lobular cancers, but many may prove to be intraductal disease, which can be challenging to detect at US. Meticulous scanning technique is required for an MR imaging–directed US examination, with knowledge of subtle sonographic signs and close correlation with the MR imaging findings and location. Precontrast T1 images are helpful to facilitate localization of lesions in relation to fibroglandular tissue (89). Because MR imaging abnormalities tend to be vascular, increased vascularity may also assist in detection of a subtle sonographic correlate (90). Having the MR images available for simultaneous review while performing the US examination will ideally permit such associative correlation. At the authors’ facility, computer monitors displaying images from the picture archiving and communication system are available in all US rooms for this purpose.

Recent studies have shown that 46%–71% of lesions at MR imaging can be detected with focused US (9094). Enhancing masses detected on MR images are identified on focused US images in 58%–65% of cases compared with nonmass enhancement, which is identified on focused US images in only 12%–32% of cases (9092). Some studies have shown that US depiction of an MR imaging correlate was independent of size (91,93,95). However, Meissnitzer et al (92) showed that size dependence is also important: For masses 5 mm or smaller, only 50% were seen, versus 56% for masses 6–10 mm, 73% for masses 11–15 mm, and 86% for masses larger than 15 mm. Likewise, this study also demonstrated that for nonmass lesions, a US correlate was found for 13% of those measuring 6–10 mm, 25% of those 11–15 mm, and 42% of those larger than 15 mm (92). In addition, many of these studies determined that when a sonographic correlate was discovered, the probability of malignancy was increased (9092). Since typical US malignant features such as spiculation and posterior shadowing may be absent and the pretest probability is higher for MR imaging–detected lesions, a lower threshold for biopsy should be considered when performing MR imaging–directed US compared with routine targeted US (90) or screening US.

Because lesions are often very subtle at MR-directed US examination and because of differences in patient positioning during the two examinations, careful imaging–histologic correlation is required when performing US-guided biopsy of MR imaging–detected abnormalities. For lesions sampled with a vacuum-assisted device and US guidance, Sakamoto et al (96) found a higher rate of false-negative biopsy results for MR imaging–detected lesions than for US-detected lesions, suggesting that precise US-MR imaging correlation may not have occurred. Meissnitzer et al (92) showed that although 91% of MR imaging–detected lesions had an accurate US correlate, 9% were found to be inaccurate. With ever-improving techniques and experience in breast US, the US visualization of MR imaging–detected abnormalities will likely continue to improve. Nevertheless, if a suspicious lesion is not identified sonographically, MR imaging–guided biopsy should still be performed, because the malignancy rate of sonographically occult MR imaging–detected lesions has been shown to range from 14% to 22% (91,95).

 

 

Preoperative Staging of Cancer with US

Breast MR imaging has been shown to be more sensitive than US in the detection of additional foci of mammographically occult disease in women with newly diagnosed breast cancer (9799). Nevertheless, when a highly suspicious mass is identified at mammography and US, immediate US evaluation of the remainder of the ipsilateral breast, the contralateral breast, and the axilla should be considered. If additional lesions are identified, preoperative staging with MR imaging can be avoided and US-guided biopsy can be promptly performed, saving the patient valuable time and expense (100). In a study by Moon et al (101), of 201 patients with newly diagnosed breast cancer, staging US demonstrated mammographically occult multifocal or multicentric disease in 28 patients (14%) and contralateral breast cancers in eight patients (4%), resulting in a change in therapy in 32 patients (16%).

US can also be used to identify abnormal axillary, supraclavicular, and internal mammary lymph nodes. Abnormal lymph nodes characteristically demonstrate focal or diffuse cortical thickening (≥3 mm in thickness), a round (rather than oval or reniform) shape, loss of the echogenic fatty hilum and/or nonhilar, disorganized, irregular blood vessels (102,103) (Fig 14). A positive US-guided CNB or fine-needle aspiration of a clinically abnormal axillary lymph node in a patient with a known breast cancer can aid patient management, by avoiding the need for sentinel node biopsy and allowing the patient instead to proceed directly to axillary lymph node dissection or neoadjuvant chemotherapy.

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 Interventional Breast US

US-guided interventional procedures have increased in volume in recent years and US is now the primary biopsy guidance technique used in many breast imaging centers. Most palpable lesions, as well as lesions detected at mammography, MR imaging, or screening US, can be sampled with US. With current high-resolution transducers, even suspicious intraductal microcalcifications may be detected and sampled.

While US-guided procedures require technical skills that must be developed and can be challenging, once mastered this technique allows precise real-time sampling of the lesion, which is not possible with either stereotactic or MR imaging–guided procedures. US-guided procedures do not require ionizing radiation or intravenous contrast material. US procedures are more tolerable for patients than stereotactic (104) or MR imaging–guided procedures because US-guided procedures are faster and more comfortable, as breast compression and uncomfortable biopsy coils or tables are not necessary and the procedure may be performed with the patient supine (104106).

Most literature has shown that automated 14-gauge CNB devices are adequate for the majority of US-guided biopsies (107115). Image-guided CNB is preferable to fine-needle aspiration cytology of breast masses because of superior sensitivity, specificity, and diagnostic accuracy (116). DCIS, malignant invasion, and hormone receptor status of invasive breast cancers can be determined with CNB samples, but not with fine-needle aspiration cytology. Fine-needle aspiration may be performed, however, in complicated cysts and symptomatic simple cysts. In these cases, the cyst aspirate fluid can often be discarded; cytology is usually only necessary if the fluid is frankly bloody (117).

The choice of performing fine-needle aspiration or CNB of a suspicious axillary lymph node depends on radiologist preference and the availability of an experienced cytopathologist, although CNB is usually more accurate than fine-needle aspiration biopsy (118,119). Fine-needle aspiration may be preferred for suspicious deep lymph nodes in proximity to the axillary vessels, whereas CNB may be preferred in large nodes with thickened cortices, particularly if determination of hormone receptor status or immunohistochemistry is desired, since more tissue is required for these assays. If lymphoma is suspected, a core should be placed in saline and also in conventional formalin.

While the underestimation rate of malignancy can be considerable for high-risk lesions such as atypical hyperplasia, such histology is not commonly found in lesions undergoing US-guided CNB. Multiple studies have shown a false-negative rate for US CNB biopsy of around 2%–3% (107115). Although the contiguous and larger samples obtained with a vacuum-assisted biopsy device undoubtedly reduce sampling error, the vacuum-assisted biopsy is a more expensive and more invasive procedure (109). In the authors’ experience, vacuum-assisted US biopsy is to be considered for small masses, intraductal or intracystic lesions, or lesions with subtle microcalcifications. These may be difficult to adequately sample with a spring-loaded automatic firing device. Alternatively, for more accurate sampling of such challenging cases, as well as some axillary lymph nodes and masses smaller than 1 cm in size, automated CNB needles designed to place the inner trough of the needle within a lesion before firing can be utilized (Fig 15). With this technique, the sampling trough of the CNB needle can be clearly visualized within the lesion before the overlying outer sheath is fired. Regardless of needle choice, a postbiopsy clip marker should be placed followed by a postbiopsy mammogram to document clip position. This will assist with follow-up imaging, facilitating mammography and/or MR imaging correlation.

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There has been recent interest in the percutaneous removal of benign breast lesions by using US-guided vacuum-assisted biopsy. While in general, proved benign concordant lesions can safely remain in the breast, some patients desire removal. Percutaneous US-guided removal with a vacuum-assisted biopsy device can replace surgical removal in some cases, particularly for small lesions (1 cm in size or less). Several reports have shown promising results demonstrating rates of complete lesion excision, varying from 61% to 94% (120124). Dennis et al (125) demonstrated that vacuum-assisted US-guided biopsy could be used to excise intraductal lesions resulting in resolution of problematic nipple discharge in 97% of patients. Even on long-term follow-up, most studies show low rates of residual masses, more commonly observed in larger fibroadenomas.

 

 Intraoperative Breast US

The use of two-dimensional and 3D intraoperative US may decrease the incidence of positive margins and decrease re-excision rates (126130) particularly in the setting of lumpectomy for palpable cancers, when US is used to assess the adequacy of surgical margins to determine the need for additional tissue removal. Similarly, intraoperative US has also been utilized to improve detection and removal of metastatic lymph nodes during sentinel lymph node assessment (131).

 

Future Directions

Intravenous US microbubble contrast agents have been used to enhance US diagnosis by means of analysis, enhancement patterns, the rates of uptake and washout, and identification of tumor angiogenesis. In addition, preliminary research has shown that intravenous US contrast agents may be able to depict tissue function with the potential to deliver targeted gene therapy to selected tumor cells (132). However, there are currently no intravenous US contrast agents approved for use in breast imaging by the U.S. Food and Drug Administration. Other potential advances in breast US include fusion imaging, which involves the direct overlay of correlative MR imaging with targeted US. Another evolving area is that of US computer-aided detection, which may be of particular benefit when combined with automated whole-breast screening US.

 

 Summary

Technical advances in US now allow comprehensive US diagnosis, management, and treatment of breast lesions. Optimal use of US technology, meticulous scanning technique with careful attention to lesion morphology, and recognition and synthesis of findings from multiple imaging modalities are essential for optimal patient management. In the future, as radiologists utilize US for an ever-increasing scope of indications, become aware of the more subtle sonographic findings of breast cancer, and apply newly developing tools, the value of breast US will likely continue to increase and evolve.

 

Essentials

  • • Breast US is operator dependent; knowledge and understanding of the various technical options currently available are important for image optimization and accurate diagnosis.
  • • US is an interactive, dynamic modality and real-time scanning is necessary to assess subtle findings associated with malignancy.
  • • Ability to synthesize the information obtained from the breast US examination with concurrent mammography, MR imaging, and clinical breast examination is necessary for accurate diagnosis.
  • • The use of screening breast US in addition to mammography, particularly in women with dense breast tissue, is becoming more widely accepted in the United States.
  • • Breast US guidance is the primary biopsy method used in most breast imaging practices, and the radiologist should be familiar with various biopsy devices and techniques to adequately sample any breast mass identified at US.

 

Disclosures of Conflicts of Interest: R.J.H. No relevant conflicts of interest to disclose. L.M.S. Financial activities related to the present article: none to disclose. Financial activities not related to the present article: educational consultant in vascular US to Philips Healthcare; payment for lectures on breast US from Educational Symposia; payment for development of educational presentations from Philips Healthcare. Other relationships: none to disclose. L.E.P. Financial activities related to the present article: none to disclose. Financial activities not related to the present article: consultant to Hologic. Other relationships: none to disclose.

Abbreviations:

BI-RADS = Breast Imaging and Reporting Data System

CNB = core needle biopsy

DCIS = ductal carcinoma in situ

3D = three dimensional

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    2. Jimenez RE,
    3. Wang WP

    . Ultrasound-guided diagnostic breast biopsy methodology: retrospective comparison of the 8-gauge vacuum-assisted biopsy approach versus the spring-loaded 14-gauge core biopsy approach. World J Surg Oncol 2011;9:87.

    1. Bolívar AV,
    2. Alonso-Bartolomé P,
    3. García EO,
    4. Ayensa FG

    . Ultrasound-guided core needle biopsy of non-palpable breast lesions: a prospective analysis in 204 cases. Acta Radiol 2005;46(7):690–695.

    1. Youk JH,
    2. Kim EK,
    3. Kim MJ,
    4. Kwak JY,
    5. Son EJ

    . Analysis of false-negative results after US-guided 14-gauge core needle breast biopsy. Eur Radiol2010;20(4):782–789.

    1. Garg S,
    2. Mohan H,
    3. Bal A,
    4. Attri AK,
    5. Kochhar S

    . A comparative analysis of core needle biopsy and fine-needle aspiration cytology in the evaluation of palpable and mammographically detected suspicious breast lesions. Diagn Cytopathol2007;35(11):681–689.

    1. Ciatto S,
    2. Cariaggi P,
    3. Bulgaresi P

    . The value of routine cytologic examination of breast cyst fluids. Acta Cytol 1987;31(3):301–304.

    1. Rao R,
    2. Lilley L,
    3. Andrews V,
    4. Radford L,
    5. Ulissey M

    . Axillary staging by percutaneous biopsy: sensitivity of fine-needle aspiration versus core needle biopsy. Ann Surg Oncol 2009;16(5):1170–1175.

    1. Gong JZ,
    2. Snyder MJ,
    3. Lagoo AS,
    4. et al

    . Diagnostic impact of core-needle biopsy on fine-needle aspiration of non-Hodgkin lymphoma. Diagn Cytopathol2004;31(1):23–30.

    1. Ko ES,
    2. Han H,
    3. Lee BH,
    4. Choe H

    . Sonographic changes after removing all benign breast masses with sonographically guided vacuum-assisted biopsy.Acta Radiol 2009;50(9):968–974.

    1. Slanetz PJ,
    2. Wu SP,
    3. Mendel JB

    . Percutaneous excision: a viable alternative to manage benign breast lesions. Can Assoc Radiol J 2011;62(4):265–271.

    1. Yom CK,
    2. Moon BI,
    3. Choe KJ,
    4. Choi HY,
    5. Park YL

    . Long-term results after excision of breast mass using a vacuum-assisted biopsy device. ANZ J Surg2009;79(11):794–798.

    1. Kim MJ,
    2. Park BW,
    3. Kim SI,
    4. et al

    . Long-term follow-up results for ultrasound-guided vacuum-assisted removal of benign palpable breast mass. Am J Surg2010;199(1):1–7.

    1. Wang ZL,
    2. Liu G,
    3. Li JL,
    4. et al

    . Sonographically guided percutaneous excision of clinically benign breast masses. J Clin Ultrasound 2011;39(1):1–5.

    1. Dennis MA,
    2. Parker S,
    3. Kaske TI,
    4. Stavros AT,
    5. Camp J

    . Incidental treatment of nipple discharge caused by benign intraductal papilloma through diagnostic Mammotome biopsy. AJR Am J Roentgenol 2000;174(5):1263–1268.

    1. Bouton ME,
    2. Wilhelmson KL,
    3. Komenaka IK

    . Intraoperative ultrasound can facilitate the wire guided breast procedure for mammographic abnormalities.Am Surg 2011;77(5):640–646.

    1. Fisher CS,
    2. Mushawah FA,
    3. Cyr AE,
    4. Gao F,
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    . Ultrasound-guided lumpectomy for palpable breast cancers. Ann Surg Oncol2011;18(11):3198–3203.

    1. Krekel NM,
    2. Lopes Cardozo AM,
    3. Muller S,
    4. Bergers E,
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    6. van den Tol MP

    .Optimising surgical accuracy in palpable breast cancer with intra-operative breast ultrasound: feasibility and surgeons’ learning curve. Eur J Surg Oncol2011;37(12):1044–1050.

    1. Olsha O,
    2. Shemesh D,
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    . Resection margins in ultrasound-guided breast-conserving surgery. Ann Surg Oncol 2011;18(2):447–452.

    1. DeJean P,
    2. Brackstone M,
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    . An intraoperative 3D ultrasound system for tumor margin determination in breast cancer surgery. Med Phys2010;37(2):564–570.

    1. Hsu GC,
    2. Ku CH,
    3. Yu JC,
    4. Hsieh CB,
    5. Yu CP,
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    . Application of intraoperative ultrasound to nonsentinel node assessment in primary breast cancer. Clin Cancer Res 2006;12(12):3746–3753.

    1. Kiessling F,
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    . Ultrasound microbubbles for molecular diagnosis, therapy, and theranostics. J Nucl Med2012;53(3):345–348.

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Following (or not) the guidelines for use of imaging in management of prostate cancer.

Writer and curator: Dror Nir, PhD

Over diagnosis and over treatment is a trend of the last two decades. It leads to increase in health-care costs and human-misery.

The following headline on Medscape; Swedes Show That We Can Improve Imaging in Prostate Cancer elicited my curiosity.

I was expecting “good news” – well, not this time!

In spite the “general language” the study that the above mentioned headline refers to is not addressing the global use of imaging in prostate cancer patients’ pathway but is specific to use of radionuclide bone-scans as part of patients’ staging.  The “bad-news” are that realization that the Swedish government had to invest many man-years to achieve “success” in reducing unnecessary use of such imaging in low risk patients. Moreover, the paper reveals under-use of such imaging technology for staging high risk prostate cancer patients.

Based on this paper, one could come to the conclusion that in reality, we are facing long lasting non-conformity with established guidelines related to the use of “full-body” imaging as part of the prostate cancer patients’ pathway in Europe and USA.

Here is a link to the original paper:

Prostate Cancer Imaging Trends After a Nationwide Effort to Discourage Inappropriate Prostate Cancer Imaging, Danil V. MakarovStacy LoebDavid UlmertLinda DrevinMats Lambe and Pär Stattin Correspondence to: Pär Stattin, MD, PhD, Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, SE- 901 87 Umeå, Sweden (e-mail:par.stattin@urologi.umu.se).

JNCI J Natl Cancer Inst (2013)doi: 10.1093/jnci/djt175

 

For convenience, here are the highlights:

  • Reducing inappropriate use of imaging to stage incident prostate cancer is a challenging problem highlighted recently as a Physician Quality Reporting System quality measure and by the American Society of Clinical Oncology and the American Urological Association in the Choosing Wisely campaign.

 

  • Since 2000, the National Prostate Cancer Register (NPCR) of Sweden has led an effort to decrease national rates of inappropriate prostate cancer imaging by disseminating utilization data along with the latest imaging guidelines to urologists in Sweden.

  • Results Thirty-six percent of men underwent imaging within 6 months of prostate cancer diagnosis. Overall, imaging use decreased over time, particularly in the low-risk category, among whom the imaging rate decreased from 45% to 3% (P < .001), but also in the high-risk category, among whom the rate decreased from 63% to 47% (P < .001). Despite substantial regional variation, all regions experienced clinically and statistically (P < .001) significant decreases in prostate cancer imaging.

 

t1

t2

fig1

fig2

  • These results may inform current efforts to promote guideline-concordant imaging in the United States and internationally.

  • In 1998, the baseline low-risk prostate cancer imaging rate in Sweden was 45%. Per the NCCN guidelines (7), none of these men should have received bone imaging unless they presented with symptoms suggestive of bone pain (8,24). In the United States, the imaging rate among men with low-risk prostate cancer has been reported to be 19% to 74% in a community cohort and 10% to 48% in a Surveillance Epidemiology and End Results (SEER)–Medicare cohort (10–13,16). It is challenging to compare these rates directly across the two countries because the NPCR aggregates all staging imaging into one variable. However, our sampling revealed that 88% of those undergoing imaging had at least a bone scan, whereas only 11% had any CTs and 10% had any MRI. This suggests that baseline rates of bone scan among low-risk men in Sweden were similar to those among their low-risk counterparts in the United States, whereas rates of axial imaging were likely much lower. During the study period, rates of prostate cancer imaging among low-risk men in Sweden decreased to 3%, substantially lower than those reported in the United States at any time.

  • Miller et al. describe a decline in imaging associated with a small-scale intervention administered in three urology practices located in the United States participating in a quality-improvement consortium. Our study’s contribution is to demonstrate that a similar strategy can be applied effectively at a national scale with an associated decline in inappropriate imaging rates, a finding of great interest for policy makers in the United States seeking to improve health-care quality.

  • In 1998, the baseline high-risk prostate cancer imaging rates in Sweden were 63%, and decreased by 43% in 2008 (rising slightly to 47% in 2009). Based on our risk category definitions and the guidelines advocated in Sweden, all of these men should have undergone an imaging evaluation (8,24). Swedish rates of prostate cancer imaging among men with high-risk disease are considerably lower than those reported from the SEER–Medicare cohort, where 70% to 75% underwent bone scan and 57% to 58% underwent CT (13,16). These already low rates of imaging among men with high-risk prostate cancer only decreased further during the NPCR’s effort to promote guideline-concordant imaging. Clearly in both countries, imaging for high-risk prostate cancer remains underused despite the general overuse of imaging and numerous guidelines encouraging its appropriate use (3–9).

Similar items I have covered on this this Open Access Online Scientific Journal:

Not applying evidence-based medicine drives up the costs of screening for breast-cancer in the USA.

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Discovery of Causal gene mutation responsible for two dissimilar neurological diseasesAmyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD)

 

Reporter: Aviva Lev-Ari, PhD, RN

Expanding the Genetics of Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD)

Ground-breaking study, identifying a causal gene mutation for two dissimilar neurological diseases.

 

TALK Date:

Wednesday, August 7

Time:

10:00 am PT / 1:00 pm ET

Speakers:

Bryan Traynor, MD, Ph.D.

Investigator Head, Neuromuscular Diseases Research Unit 

Laboratory of Neurogenetics National Institute of Aging, National Institutes of Health 

Abstract

Dr. Bryan Traynor and his team participated in a ground-breaking international study, identifying a causal gene mutation responsible for two dissimilar neurological diseases, ALS and FTD. As members of a worldwide consortium, his research team used next-generation sequencing to identify a large hexanucleotide repeat that disrupts the C9ORF72 gene located on chromosome 9. The mutation accounts for approximately 40% of all familial cases of ALS and FTD in European and North American populations, and also ~1% of Alzheimer’s disease cases. ALS, also known as Lou Gehrig’s disease, is a fatal neurodegenerative disorder that leads to rapidly progressive paralysis and respiratory failure. Frontotemporal dementia (FTD) is the most common form of dementia in the population under the age of 65. 

This landmark discovery has impacted how these neurological disorders are diagnosed, investigated and perceived. It also provides a distinct therapeutic target for gene therapy efforts aimed at ameliorating these diseases. 

SOURCE

Illumina

illumina@admail.directeffectmedia.com

 

 

 

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Ultrasound in Radiology – Results of a European Survey

Reporter and Curator; Dror Nir, PhD

Ultrasound is by far, the most frequently used imaging modality in patient’s pathway being used by office-based clinicians and in most of hospitals’ departments. This is also true for cancer patients. As the contribution of imaging to the clinical assessment of patients becomes more substantial, the argument around “who is qualified” to perform such assessment is becoming louder and definitely more relevant!

Both the European and the North America Radiology societies are pushing towards establishment of centralized ultrasound services within the hospitals radiology department, still most ultrasound machines are spread between the different departments and being used by all practitioners. ESR’s working group on ultrasound published a report on the status of ultrasound-practice in European hospitals. Quite a shame; only 13% of the hospital addressed for participation in the survey reacted positively. I would like to highlight the most relevant conclusion from this survey, which is valid no matter which hand is holding the probe: Technique-oriented teaching, time and examinations are necessary to learn how to use Ultrasound properly within the framework of organ-oriented and disease training. Personally, I would support the idea that when it comes to management of cancer patients, this will become a “quality requirement” by law, similar to rules applicable to using radio-active substances.

 Here below is the full report:

Organisation and practice of radiological ultrasound in Europe: a survey by the ESR Working Group on Ultrasound

European Society of Radiology (ESR) 

Neutorgasse 9/2, AT-1010 Vienna, Austria

European Society of Radiology (ESR)

Email: communications@myesr.org

URL: http://www.myESR.org

Received: 25 April 2013Accepted: 26 April 2013Published online: 29 May 2013

Abstract

Objectives

To gather information from radiological departments in Europe assessing the organisation and practice of radiological ultrasound and the diagnostic practice and training in ultrasound.

Methods

A survey containing 38 questions and divided into four groups was developed and made available online. The questionnaire was sent to over 1,000 heads of radiology departments in Europe.

Results

Of the 1,038 radiologists asked to participate in this survey, 123 responded. Excluding the 125 invitations to the survey that could not be delivered, the response rate was 13 %.

Conclusion

Although there was a low response rate, the results of this survey show that ultrasound still plays a major role in radiology departments in Europe: most departments have the technical capabilities to provide patients with up-to-date ultrasound examinations. Although having a centralised ultrasound laboratory seems to be the way forward, most ultrasound machines are spread between different departments. Ninety-one per cent of answers came from teaching hospitals reporting that training is regarded as an art and is needed in order to learn the basics of scanning techniques, after which working in an organ-oriented manner is the best way to learn how to integrate diagnostic US within the clinical context and with all other imaging techniques.

Main Messages

• Hospitals should introduce centralised ultrasound laboratories to allow for different competencies in US under the same roof, share human and technological resources and reduce the amount of equipment needed within the hospital.

• Technique-oriented teaching, time and examinations are necessary to learn how to use US properly within the framework of organ-oriented training.

• A time period of about 6 months dedicated solely to learning US scanning techniques is deemed sufficient in most cases.

INTRODUCTION

The Working Group on ultrasound (US) of the European Society of Radiology was founded in 2009 with the aim of supporting increased quality and visibility of US within radiological departments as well as strengthening the position of US within the radiology community.

Among the many practical goals assigned to the group, one of the most important has been to gather information about the organisation and practice of radiological US in Europe.

This article reports the results of a survey assessing how diagnostic US is practiced and how training in US is organised in radiological departments of European hospitals. Questions were also aimed at evaluating the practice of US within both radiology and other hospital departments in order to understand the relationships among the different users of this technique. A comparison with the results of a previous survey on the US activities within 17 academic radiological departments throughout Europe published in 1999 by Schnyder et al. [1] was also attempted.

MATERIALS AND METHODS

A questionnaire was developed to obtain data about the practice of diagnostic US within radiology departments in Europe.

The survey contained 38 questions that were divided into four groups:

(1)

Related to the hospital: location; dimensions; presence or absence of teaching duties.

(2)

Related to the workload of US: number of US examinations/year, amount of US equipment available; state of available technology; types of most frequent examinations; organisation of the US laboratory; presence of sonographers; methods of reporting and archiving US examinations.

(3)

Related to the teaching of US to radiology residents: organisation and duration of training programmes; number of examinations to be performed before completion of the training period; presence of training programmes dedicated to sonographers or other non-radiology residents.

(4)

Related to the US examinations performed outside radiology in each hospital; clinical specialists most often involved in performing directly US; availability of special techniques, such as contrast-enhanced ultrasound (CEUS); methods of reporting and archiving US examinations.

The questionnaire was made available online and an invitation to fill it in was sent to all 1,038 heads of radiology departments throughout Europe within the database of the European Society of Radiology. The invitation was repeated three times over a period of 3 months, between June and August 2011.

RESULTS

There were 123 responses to the questionnaire. Considering that 125/1,038 e-mail messages were reported as “undelivered”, the response rate to the invitation was 13 %. Many responders did not answer all the questions presented in the questionnaire, and some answers and comments were somewhat difficult to understand and evaluate.

First group of questions

Answers were gathered from different parts of Europe; 63.4 % were from five nations (Germany, Austria, France, Spain and Italy). The distribution according to countries is presented in Table 1.

Table 1

Nationality of responders

Germany (DE)

19

Austria (AT)

18

France (FR)

16

Spain (ES)

14

Italy (IT)

11

Hungary (HU)

7

Switzerland (CH)

5

The Netherlands (NL)

4

Turkey (TR)

3

UUK

3

Czech Rep (CZ)

3

Poland (PL)

2

Denmark (DK)

2

Romania (RO)

2

Norway (NO)

2

Croatia (HR)

2

Portugal (PT)

2

Belgium (BE)

2

Greece (GR)

1

Montenegro (ME)

1

Lithuania (LT)

1

Ireland (IE)

1

Serbia (RS)

1

Sweden (SE)

1

There were 25 responses (20.3 %) from hospitals with fewer than 400 beds, 52 (42.3 %) from hospitals with between 400 and 1,000 beds and 46 (37.4 %) from hospitals with more than 1,000 beds. Most answers were from teaching hospitals (91.1 %).

Second group of questions

Most radiology departments (77 %) have fewer than 10 working US units; 22 % have between 10 and 20 US machines; only 0.8 % have more than 20 machines. Small, portable units are available in 64.5 % of departments, 3D/4D capabilities are present in 52 % and elastography in 48.2 %, and 67.3 % have the possibility to perform CEUS examinations.

Up to 57.6 % of radiology departments perform more than 10,000 examinations per year; between 3,000 and 10,000 examinations per year are performed in 33.1 % of cases; only 9.3 % of departments perform fewer than 3,000 examinations.

Abdominal US is the most frequent exam (51.51 %), followed by breast (14.46 %), musculoskeletal (11.59 %), pelvic (10.88 %) and vascular (10.42 %) US examinations. Contrast-enhanced US (CEUS) studies constitute about 4.39 %. US is used by radiologists in emergency in 96.6 % of cases and in paediatrics in 74.6 %. Comments indicate that most of those who answered “no” did not have a paediatric section in their hospital.

Transvaginal US is used in obstetric examinations by 15.8 % of responders and in gynaecological studies by 50.7 %. Endoscopic US is used by radiologists in 13.4 % and intravascular US in 14.6 %; radiologists are called by surgeons for intraoperative US in 64.2 % of cases.

There were 49 responders who indicated the actual number of US examinations performed/year. The characteristics of hospitals in which the radiology department performs more than 20,000 ultrasound examinations/year are presented in Table 2.

Table 2

Characteristics of the hospitals in which the radiology department performs more than 20,000 US examinations/year (nationality, presence/absence of teaching duties, number of inpatients, number of US machines available, ratio between number of US examinations performed by non-radiology specialists vs. radiologists)

t2

Those who reported fewer than 5,000 US examinations/year are reported in Table 3.

Table 3

Characteristics of the hospitals in which the radiology department performs less than 5,000 US examinations/year (nationality, presence/absence of teaching duties, number of inpatients, number of US machines available, ratio between number of US examinations performed by non-radiology specialists vs. radiologists)

t3

Third group of questions

The first question in this group was whether the hospital was organised with a centralised US laboratory where physicians from all specialties work together.

There were 13/110 positive answers (11.8 %) from Germany (5), Spain (3), Austria (2), Hungary (2) and Croatia (1). All other hospitals have US machines scattered throughout the different radiological and non-radiological departments. The centralised US laboratory is organised together by the radiology and the internal medicine departments in three cases; it is truly multidisciplinary, with all specialties concurring, in three others; it is run by radiology in two. The remaining two positive answers did not provide further detail about their organisation.

The second question related to the role of sonographers. Only 15/110 (13.6 %) department heads stated they work with sonographers. They are located in Spain (3), Germany (2), UK (2), The Netherlands (2), Austria (1), Belgium (1), Ireland (1), Lithuania (1) and Montenegro (1). In all others, US examinations are done directly by the radiologists. There were 12 comments describing how the work of sonographers is organised. Sonographers do both the examination and the report, with the radiologist checking difficult cases only in four hospitals; sonographers do the studies and the radiologist takes a final look and writes the reports in six; two departments state they use sonographers for vascular examinations only.

The third question related to the organisation of training programmes in US. Radiology residents are trained in 91.1 % of responders. Some centres organise a theoretical course on basic principles of US before starting practical activity. Then, clinical practice is usually performed according to organ/systems training schemes. Residents work under close supervision of a senior radiologist: they approach the patient, perform a preliminary examination and issue a first report, which is then checked by the expert. The aim is to obtain progressive growth of competences: from scanning capabilities, to reporting capabilities, to complete independence.

The length of the period of training within the US laboratory in the various teaching hospitals and the minimum number of US examinations required before the end of the residency period are summarised in Tables 4 and5.

Table 4

Length of the period of training within the US laboratory in the 84 teaching hospitals that reported it

No. of teaching hospitals

Length of training

13

<4 months

38

4–6 months

26

6–12 months

7

>1 year

Table 5

Minimum number of US examinations to be performed before the end of the residency period in the 75 teaching hospitals that reported it

No. of teaching hospitals

Minimum no. of US examination

20

<500

16

500–1,000

17

1,000–2,000

22

>2,000

There was a direct correlation between the number of US exams performed in the department and the depth of US involvement during training: training programmes in the two hospitals where the lowest number of US examinations/year is performed indicate a period of 3 months and 250 and 500 examinations. However, a hospital with a workload of 45,000 US studies per year (in which, however, the examinations are performed by sonographers) suggested only 2–3 months of training and 100 exams before the end of the residency period.

Training is also provided for non-radiology residents in 37 hospitals. It is most frequently offered to internal medicine, gastroenterology, surgery, anesthesiology, vascular surgery and paediatrics. Comments indicate that these radiology courses allow only theoretical teaching, since observation, but not direct contact with patient, is provided for non-radiologists.

All 15 departments working with sonographers provide, or are planning to provide, starting in 2012, training courses for these professionals. These include both theory and practice; the theoretical part is done, in some cases, together with radiology residents.

As an important technical point, it must be noted that US images performed by radiologists are recorded into PACS systems in 85.6 % of cases. Comments on this question indicated that not all equipment is linked to PACS and that only selected images or videos are often archived; furthermore, technical problems in archiving videos have been reported.

A final group of questions pertained to the US examinations performed outside the radiology department in each hospital.

One question asked about the proportion of US examinations performed by radiologists vs. those performed by non-radiologists. European radiologists, as a whole, still perform a higher number of examinations (61.27 %) than non-radiologists (38.32 %). Differences in the percentage of studies performed in the different hospitals are presented in Table 6.

Table 6

Proportion of US examinations performed by radiologists vs. non-radiologists. Although radiologists, as a whole, perform more US examinations than non-radiologists, the table shows there are differences among different departments, with slightly more than 50 % performing more than 70 % of the studies

% of hospital US exams performed by radiologists

No. of radiology departments

≥90 %

25 (20.32 %)

70–90 %

37 (30.08 %)

10–70 %

57 (46.35 %)

<10 %

4 (3.25 %)

Comments indicate that most OB/GYN, neurology, vascular, urology, internal medicine, anaesthesiology and gastroenterology departments run their own US units in their wards. CEUS is used in 35.1 % of gastroenterology departments, in 15.1 % of internal medicine, in 10.6 % of transplant units and in 10.4 % of nephrology departments.

The examinations performed out of the radiology department are formally reported in 64.4 % of cases only. Comments indicate that reports are fully stored within the Hospital Information System (HIS) in 31 cases; storage is only partial in 24; no HIS storage is used in 5 cases.

US images obtained outside of the radiology department are recorded into the PACS system of the hospital in 18.3 % of cases only.

DISCUSSION

Several considerations are raised from the results of this survey.

First, there was a low response rate to the survey itself. There were only 123 answers to the 913 received messages asking for information from radiology department heads (a mere 13 %). It is hoped that this low response rate relates to the many committments on their side and not to low interest in the role of US within radiology [23].

Second, most responders indicated that US is still an important part of the activities of the radiology department. Only 9.3 % report fewer than 3,000 examinations/year. It must be noted that there may be a bias in these figures, since it is conceivable that responders were more interested in US than those who did not answer the questionnaire (even if there were responders who indicated that, in their hospital, US is done mostly outside of the radiology department). Most of the workload is due to abdomino-pelvic exams, followed by breast, musculoskeletal and vascular applications. Furthermore, state-of-the-art equipment is used in about 50 % and CEUS can be performed in 64.2 %. Portable machines are available in 64.5 %, transvaginal US examinations of the pelvis are used in 50.7 %, and radiologists are still involved in intraoperative US examinations in 64.2 % of cases. Most departments still have the technical capabilities to provide up-to-date US answers to the requests they receive.

Another consideration relates to the organisation of US within the hospital. In most cases US machines are scattered throughout the different departments, and only 13 hospitals have organised a centralised US laboratory where all physicians from different specialities come to examine their patients. Although centralisation seems the best way to run a US service, there are several factors that can explain why this is not the case, many of which stem from tradition. US laboratories, in fact, commonly arose separately from one another, following the initiatives of the different specialists who started introducing this technique in their practice. Then, there is a disposition to maintain independence and separate departmental income from the activities as well as the desire to control all aspects of patients’ care.

Only 15 departments reported they are working with sonographers. Although it is known that in Europe most radiologists perform US examinations directly, it is believed that this figure underestimates the real contribution of these professionals. A possible explanation is that only three hospitals from the UK answered the questionnaire; in the UK sonographers play a major role in dealing with the US workload.

Most answers to the questionnaire came from teaching hospitals (91.1 %). Comments on how training is organised state that US scanning is commonly regarded as an art, taught from maestro to pupil, with progressive growth in scanning and reporting capabilities. In addition, most report that US is taught within an organ-/system-oriented training system. The “art” of US is highly dependent on the operator’s dedication and technical ability, and this has to be properly taught. Additionally, a period of training within a dedicated US laboratory is probably needed to learn the basics of scanning techniques. After learning the technique, working in an organ-oriented manner is surely the best way to learn how to integrate diagnostic US within the clinical context and with all other imaging techniques.

There were 13 teaching hospitals in which fewer than 4 months is deemed sufficient, and in 20 cases having fewer than 500 examinations before the end of the residency is regarded as complete training.

The low number of US examinations performed in some training centres can jeopardise teaching. The recruitment of patients for adequate training can be impossibile to obtain in low-volume practices, leading to a further decrease of radiological US for future generations of radiologists. Furthermore, the use of sonographers can make teaching the practical skills of US scanning difficult. In a hospital with high-volume US practice (45,000 cases/year) in which the examinations are performed by sonographers, residents are asked to remain in the US laboratory only for 2–3 months and to perform only 100 examinations before the end of training. When in clinical practice in a hospital without sonographers, these radiologists would not be able to carry out even routine diagnostic US examinations. On the contrary, the role of expert sonographers as a resource to provide practical training to radiology residents has not been considered and can be explored.

The results of this survey show a large heterogeneity in the use of US within radiology throughout Europe. There are hospitals in which the majority of US examinations are still performed by radiologists, and others in which radiologists are left with only a small proportions of studies.

Similar findings were observed by Schnyder et al. in 1999 [1]. From their survey in 17 academic radiology departments throughout Europe, these authors reported that in some nations radiologists had full control of US, while this was not the case in Germany, Austria and Switzerland. The situation seems somewhat worse today, since there are 22 hospitals (18.2 %) in different nations (Austria, Poland, Germany, France, UK, Norway, Switzerland and Italy) in which radiologists perform less than 70 % of all US examinations and 5 (4 %) who answered they do less than 10 % of the studies. Since the answers to the questionnaire were provided by radiology departments, the figures for radiological activity can be considered as precise. On the contrary, it is possible that those answers on the US activities out of radiology can be regarded as an estimate. However, to the best of our knowledge, the data in the survey of Schnyder et al. were also obtained in a similar way, and a comparison can thus be made.

The percent decrease in the number of US examinations done in radiology vs. those performed outside radiology is probably related to a marked increase of the use of US by non-radiology clinicians rather than to a decreased attention to this technique by radiologists. In fact, new specialists, such as emergency physicians and anesthesiologists, are now using this technique as a complement to their visit or as a guide to therapeutic manoeuvres, and the so-called “point-of-care US” philosophy, in which US equipment accompanies the physician at the patient’s bedside to guide his/her therapeutic decision making, is gaining popularity.

An additional point to be considered relates to the recording of US reports and images into the hospital informations system and PACS. US examinations performed by radiologists are archived within the PACS system in 85.6 %, while those performed by non-radiologists are stored in only 18.3 % of cases. Furthermore, radiologists provide a formal report in virtually all cases, while examinations performed out of radiology are formally reported in 64.4 %. Costs and technical difficulties in connecting all equipment to PACS and RIS are described as reasons for not recording US images, and this is especially the case for recording of video clips. The use of “point-of-care US” is a further difficulty for connecting equipment to PACS, and, within this framework, the US exam is not regarded as a separate study but as part of the physician visit. However, to have all US images and reports of the patient recorded and available for consultation could greatly help during subsequent studies, and efforts have to be made to develop consensus with clinical colleagues to increase connectivity and to report all US studies, at least as a description within the patients’ charts. Within the framework of the relationships established by the ESR WG in US with the European Federation of Societies for Ultrasound in Medicine and Biology (EFSUMB), it has been agreed to prepare and publish a recommendation about the necessity, for all US examinations, of a formal report and proper archiving of both report and images.

ACTION POINTS

Two points of action can be suggested.

The first relates to the centralisation of the US laboratory. Although at the moment only a small number of hospitals are working according to this model, radiologists should take the lead in proposing such organisation [4]. This would allow the gathering of all the different competencies in US under the same roof, to share human and technological resources and to reduce the amount of equipment needed within the hospital. In an era of cost containments, a centralised US laboratory can allow each US scanner operate for longer hours and with higher numbers of examinations, resulting in an optimisation of resources. Furthermore, requests to upgrade and/or renovate equipment would possibly be easier if coming from a large laboratory and shared by different hospital departments. Another advantage would be having people with different backgrounds work in the same environment, thus promoting exchange and integration of their knowledge and possibly resulting in better patient care. It would be easier, in this respect, to prepare institutional guidelines and protocols that place US in the correct perspective towards all other imaging modalities and, most importantly, towards patients’ needs. It is not clear from the survey how this way of working is organised on a day-to-day basis, and especially how emergency services are provided (i.e. if all specialists concur in the emergency or if this is left to radiologists only), but an integrated management and organisational infrastructure bears numerous advantages for cost containment, quality standards and efficiency.

The second point of action relates to training in US within radiology residency programmes. In the opinion of the ESR Working Group on US, radiologists need to develop consensus on how many examinations under tutorship residents have to perform and on how much time they have to spend in ultrasound before the end of the training period. The results of the survey vary widely. However, out of 75 training centres that reported on the number of examinations, there were 39 (52 %) providing figures between 1,000 and 2,000 or higher. Therefore, approximately 2,000 seems to be a figure on which consensus can be reached. This figure also complies with what is suggested by the EFSUMB [5]. This federation provides recommendations about the number of examinations for training in the different subspeciality areas of US: the sum of studies for abdomen, breast, musculoskeletal and vascular training is 1,500, while figures for head and neck are not provided. The length of training is more complex to decide. A distinction has to be made here between the time needed to learn the technique of US scanning and the time needed to learn how to use US properly, to integrate it with other imaging techniques and to provide useful reports. In order to perform US, both approaches are needed. Technique-oriented teaching is necessary to learn how to perform the studies and to identify anatomy and pathology. Time and exams are needed to learn how to use US properly within the framework of organ-oriented training. A period of time of about 6 months dedicated solely to learning the US scanning technique can possibly be considered sufficient, as suggested by 76.2 % of responders. The capabilities of residents to perform US examinations have to be assessed during the training period, especially during and at the end of the technique-oriented part. It is known that the learning curve can vary widely among trainees, and longer times and higher numbers of examinations may be needed in some cases [6]. Additional time should be spent, and exams taken, during organ-oriented training. It must be underlined that organ-oriented teaching needs to include the proper role of US in each subspeciality and also take into account technical advances such as CEUS, 3D/4D and elastography and to use them when needed.

Acknowledgment

This article was kindly prepared by the ESR Working Group on US (M. Bachmann-Nielsen, M. Claudon, L. E. Derchi, S. Elliott, G. Mostbeck, C. Nicolau, S. Yarmenitis, A. Zubarev, Y. Menu–Chair of the ESR Professional Organisation Committee and J.A. Reekers–Chair of the ESR Subspecialty Societies Committee) on behalf of the European Society of Radiology. It was approved by the ESR Executive Council in April 2013.

Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

References

1.

Schnyder P, Capasso P, Meuwly I-Y (1999) Turf battles in radiology: how to avoid/how to fight/how to win. Eur Radiol 9:741–748PubMedCrossRef

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Lockhart ME (2008) The role of radiology in the future of sonography. AJR 190:841–842PubMedCrossRef

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Derchi LE, Claudon M (2009) Ultrasound: a strategic issue for radiology? Eur Radiol 19:1–6PubMedCrossRef

4.

Krestin GP (2009) Maintaining identity in a changing environment: the professional and organizational future of radiology. Radiology 250:612–617PubMedCrossRef

5.

Minimum training recommendations for the practice of medical ultrasond in Europe. http://www.org/guidelines/guidelines01.asp

6.

Hertzberg BS, Kliewer MA, Bowie JD, Carroll BA, DeLong DH, Gray L, Nelson RC (2000) Physician training requirements in sonography: how many cases are needed for competence? AJR 174:1221–1227PubMedCrossRef

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aprotinin-sequence.Par.0001.Image.260

aprotinin-sequence.Par.0001.Image.260 (Photo credit: redondoself)

English: Protein folding: amino-acid sequence ...

Protein folding: amino-acid sequence of bovine BPTI (basic pancreatic trypsin inhibitor) in one-letter code, with its folded 3D structure represented by a stick model of the mainchain and sidechains (in gray), and the backbone and secondary structure by a ribbon colored blue to red from N- to C-terminus. 3D structure from PDB file 1BPI, visualized in Mage and rendered in Raster3D. (Photo credit: Wikipedia)

The Effects of Aprotinin on Endothelial Cell Coagulant Biology

Author: Demet Sag, PhD

 

 

 

 

 

 

 

 

 

 

 

 

The Effects of Aprotinin on Endothelial Cell Coagulant Biology

Demet Sag, PhD*†, Kamran Baig, MBBS, MRCS; James Jaggers, MD, Jeffrey H. Lawson, MD, PhD

Departments of Surgery and Pathology (J.H.L.) Duke University Medical Center Durham, NC  27710

Correspondence and Reprints:

                             Jeffrey H. Lawson, M.D., Ph.D.

                              Departments of Surgery & Pathology

                              DUMC Box 2622

                              Durham, NC  27710

                              (919) 681-6432 – voice

                              (919) 681-1094 – fax

                              lawso006@mc.duke.edu

*Current Address: Demet SAG, PhD

                          3830 Valley Centre Drive Suite 705-223, San Diego, CA 92130

Support:

Word Count: 4101 Journal Subject Heads:  CV surgery, endothelial cell activationAprotinin, Protease activated receptors,

Potential Conflict of Interest:         None

Abstract

Introduction:  Cardiopulmonary bypass is associated with a systemic inflammatory response syndrome, which is responsible for excessive bleeding and multisystem dysfunction. Endothelial cell activation is a key pathophysiological process that underlies this response. Aprotinin, a serine protease inhibitor has been shown to be anti-inflammatory and also have significant hemostatic effects in patients undergoing CPB. We sought to investigate the effects of aprotinin at the endothelial cell level in terms of cytokine release (IL-6), tPA release, tissue factor expression, PAR1 + PAR2 expression and calcium mobilization. Methods:  Cultured Human Umbilical Vein Endothelial Cells (HUVECS) were stimulated with TNFa for 24 hours and treated with and without aprotinin (200KIU/ml + 1600KIU/ml). IL-6 and tPA production was measured using ELISA. Cellular expression of Tissue Factor, PAR1 and PAR2 was measured using flow cytometry. Intracellular calcium mobilization following stimulation with PAR specific peptides and agonists (trypsin, thrombin, Human Factor VIIa, factor Xa) was measured using fluorometry with Fluo-3AM. Results: Aprotinin at the high dose (1600kIU/mL), 183.95 ± 13.06mg/mL but not low dose (200kIU/mL) significantly reduced IL-6 production from TNFa stimulated HUVECS (p=0.043). Aprotinin treatment of TNFa activated endothelial cells significantly reduce the amount of tPA released in a dose dependent manner (A200 p=0.0018, A1600 p=0.033). Aprotinin resulted in a significant downregulation of TF expression to baseline levels. At 24 hours, we found that aprotinin treatment of TNFa stimulated cells resulted in a significant downregulation of PAR-1 expression. Aprotinin significantly inhibited the effects of the protease thrombin upon PAR1 mediated calcium release. The effects of PAR2 stimulatory proteases such as human factor Xa, human factor VIIa and trypsin on calcium release was also inhibited by aprotinin. Conclusion:  We have shown that aprotinin has direct anti-inflammatory effects on endothelial cell activation and these effects may be mediated through inhibition of proteolytic activation of PAR1 and PAR2. Abstract word count: 297

INTRODUCTION   Each year it is estimated that 350,000 patients in the United States, and 650,000 worldwide undergo cardiopulmonary bypass (CPB). Despite advances in surgical techniques and perioperative management the morbidity and mortality of cardiac surgery related to the systemic inflammatory response syndrome(SIRS), especially in neonates is devastatingly significant. Cardiopulmonary bypass exerts an extreme challenge upon the haemostatic system as part of the systemic inflammatory syndrome predisposing to excessive bleeding as well as other multisystem dysfunction (1). Over the past decade major strides have been made in the understanding of the pathophysiology of the inflammatory response following CPB and the role of the vascular endothelium has emerged as critical in maintaining cardiovascular homeostasis (2).

CPB results in endothelial cell activation and initiation of coagulation via the Tissue Factor dependent pathway and consumption of important clotting factors. The major stimulus for thrombin generation during CPB has been shown to be through the tissue factor dependent pathway. As well as its effects on the fibrin and platelets thrombin has been found to play a role in a host of inflammatory responses in the vascular endothelium. The recent discovery of the Protease-Activated Receptors (PAR), one of which through which thrombin acts (PAR-1) has stimulated interest that they may provide a vital link between inflammation and coagulation (3).

Aprotinin is a nonspecific serine protease inhibitor that has been used for its ability to reduce blood loss and preserve platelet function during cardiac surgery procedures requiring cardiopulmonary bypass and thus the need for subsequent blood and blood product transfusions. However there have been concerns that aprotinin may be pro-thrombotic, especially in the context of coronary artery bypass grafting, which has limited its clinical use. These reservations are underlined by the fact that the mechanism of action of aprotinin has not been fully understood. Recently aprotinin has been shown to exert anti-thrombotic effects mediated by blocking the PAR-1 (4). Much less is known about its effects on endothelial cell activation, especially in terms of Tissue Factor but it has been proposed that aprotinin may also exert protective effects at the endothelial level via protease-activated receptors (PAR1 and PAR2). In this study we simulated in vitro the effects of endothelial cell activation during CPB by stimulating Human Umbilical Vein Endothelial Cells (HUVECs) with a proinflammatory cytokine released during CPB, Tumor Necrosis Factor (TNF-a) and characterize the effects of aprotinin treatment on TF expression, PAR1 and PAR2 expression, cytokine release IL-6 and tPA secretion.  In order to investigate the mechanism of action of aprotinin we studied its effects on PAR activation by various agonists and ligands.

These experiments provide insight into the effects of aprotinin on endothelial related coagulation mechanisms in terms of Tissue Factor expression and indicate it effects are mediated through Protease-Activated Receptors (PAR), which are seven membrane spanning proteins called G-protein coupled receptors (GPCR), that link coagulant and inflammatory pathways. Therefore, in this study we examine the effects of aprotinin on the human endothelial cell coagulation biology by different-dose aprotinin, 200 and 1600units.  The data demonstrates that aprotinin appears to directly alter endothelial expression of inflammatory cytokines, tPA and PAR receptor expression following treatment with TNF.  The direct mechanism of action is unknown but may act via local protease inhibition directly on endothelial cells.  It is hoped that with improved understanding of the mechanisms of action of aprotinin, especially an antithrombotic effect at the endothelial level the fears of prothrombotic tendency may be lessened and its use will become more routine.  

METHODS Human Umbilical Vein Endothelial Cells (HUVECS) used as our model to study the effects of endothelial cell activation on coagulant biology. In order to simulate the effects of cardiopulmonary bypass at the endothelial cell interface we stimulated the cells with the proinflammatory cytokine TNFa. In the study group the HUVECs were pretreated with low (200kIU/mL) and high (1600kIU/mL) dosages of aprotinin prior to stimulation with TNFa and complement activation fragments. The effects of TNFa stimulation upon endothelial Tissue Factor expression, PAR1 and PAR2 expression, and tPA and IL6 secretion were determined and compared between control and aprotinin treated cells. In order to delineate whether aprotinin blocks PAR activation via its protease inhibition properties we directly activated PAR1 and PAR2 using specific agonist ligands such thrombin (PAR1), trypsin, Factor VIIa, Factor Xa (PAR2) in the absence and presence of aprotinin.

Endothelial Cell Culture HUVECs were supplied from Clonetics. The cells were grown in EBM-2 containing 2MV bullet kit, including 5% FBS, 100-IU/ml penicillin, 0.1mg/mL streptomycin, 2mmol/L L-glutamine, 10 U/ml heparin, 30µg/mL EC growth supplement (ECGS). Before the stimulation cells were starved in 0.1%BSA depleted with FBS and growth factors for 24 hours. Cells were sedimented at 210g for 10 minutes at 4C and then resuspended in culture media. The HUVECs to be used will be between 3 and 5 passages.

Assay of IL-6 and tPA production Levels of IL-6 were measured with an ELISA based kit (RDI, MN) according to the manufacturers instructions. tPA was measured using a similar kit (American Diagnostica).

  Flow Cytometry The expression of transmembrane proteins PAR1, PAR2 and tissue factor were measured by single color assay as FITC labeling agent. Prepared suspension of cells disassociated trypsin free cell disassociation solution (Gibco) to be labeled. First well washed, and resuspended into “labeling buffer”, phosphate buffered saline (PBS) containing 0.5% BSA plus 0.1% NaN3, and 5% fetal bovine serum to block Fc and non-specific Ig binding sites. Followed by addition of 5mcl of antibody to approx. 1 million cells in 100µl labeling buffer and incubate at 4C for 1 hour. After washing the cells with 200µl with wash buffer, PBS + 0.1% BSA + 0.1% NaN3, the cells were pelletted at 1000rpm for 2 mins. Since the PAR1 and PAR2 were directly labeled with FITC these cells were fixed for later analysis by flow cytometry in 500µl PBS containing 1%BSA + 0.1% NaN3, then add equal volume of 4% formalin in PBS. For tissue factor raised in mouse as monoclonal primary antibody, the pellet resuspended and washed twice more as before, and incubated at 4C for 1 hour addition of 5µl donkey anti-mouse conjugated with FITC secondary antibody directly to the cell pellets at appropriate dilution in labeling buffer. After the final wash three times, the cell pellets were resuspended thoroughly in fixing solution. These fixed and labeled cells were then stored in the dark at 4C until there were analyzed. On analysis, scatter gating was used to avoid collecting data from debris and any dead cells. Logarithmic amplifiers for the fluorescence signal were used as this minimizes the effects of different sensitivities between machines for this type of data collection.  

Intracellular Calcium Measurement

Measured the intracellular calcium mobilization by Fluo-3AM. HUVECs were grown in calcium and phenol free EBM basal media containing 2MV bullet kit. Then the cell cultures were starved with the same media by 0.1% BSA without FBS for 24 hour with or without TNFa stimulation presence or absence of aprotinin (200 and 1600KIU/ml). Next the cells were loaded with Fluo-3AM 5µg/ml containing agonists, PAR1 specific peptide SFLLRN-PAR1 inhibitor, PAR2 specific peptide SLIGKV-PAR2 inhibitor, human alpha thrombin, trypsin, factor VIIa, factor Xa for an hour at 37C in the incubation chamber. Finally the media was replaced by Flou-3AM free media and incubated for another 30 minutes in the incubation chamber. The readings were taken at fluoromatic bioplate reader. For comparison purposes readings were taken before and during Fluo-3AM loading as well.  

RESULTS Aprotinin reduces IL-6 production from activated/stimulated HUVECS The effects of aprotinin analyzed on HUVEC for the anti-inflammatory effects of aprotinin at cultured HUVECS with high and low doses.  Figure 1 shows that TNF-a stimulated a considerable increase in IL-6 production, 370.95 ± 109.9 mg/mL.   If the drug is used alone the decrease of IL-6 at the low dose is 50% that is 183.95 ng/ml and with the high dose of 20% that is 338.92 from 370.95ng/ml being compared value.  TNFa-aprotinin results in reduction of the IL-6 expression from 370.95ng/ml to 58.6 (6.4fold) fro A200 and 75.85 (4.9 fold) ng/ml, for A1600.  After the treatment the cells reach to the below baseline limit of IL-6 expression. Aprotinin at the high dose (1600kIU/mL), 183.95 ± 13.06mg/mL but not low dose (200kIU/mL) significantly reduced IL-6 production from TNF-a stimulated HUVECS (p=0.043).  Therefore, the aprotinin prevents inflammation as well as loss of blood.  

Aprotinin reduces tPA production from stimulated HUVECS Whether aprotinin exerted part of its fibrinolytic effects through inhibition of tPA mediated plasmin generation examined by the effects on TNFa stimulated HUVECS. Figure 2 also demonstrates that the amount of tPA released from HUVECS under resting, non-stimulated conditions incubated with aprotinin are significantly different. Figure 2 represents that the resting level of tPA released from non-stimulated cells significantly, by 100%, increase following TNF-a stimulation for 24 hours.  After application of aprotinin alone at two doses the tPA level goes down 25% of TNFa stimulated cells.  However, aprotinin treatment of TNF-a activated endothelial cells significantly lower the amount of tPA release in a dose dependent manner that is low dose decreased 25 but high dose causes 50% decrease of tPA expression (A200 p=0.0018, A1600 p=0.033) This finding suggests that aprotinin exerts a direct inhibitory effect on endothelial cell tPA production.

Aprotinin and receptor expression on activated HUVECS

TF is expressed when the cell in under stress such as TNFa treatments. The stimulated HUVECs with TNF-a tested for the expression of PAR1, PAR2, and tissue factor by single color flow cytometry through FITC labeled detection antibodies at 1, 3, and 24hs.

 

Tissue Factor expression is reduced:

Figure 3 demonstrates that there is a fluctuation of TF expression from 1 h to 24h that the TF decreases at first hour after aprotinin application 50% and 25%, A1600 and A200 respectively.  Then at 3 h the expression come back up 50% more than the baseline.  Finally, at 24h the expression of TF becomes almost as same as baseline.  Moreover, TNFa stimulated cells remains 45% higher than baseline after at 3h as well as at 24h.

PAR1 decreased:
Figure 4 demonstrates that aprotinin reduces the PAR1 expression 80% at 24h but there is no affect at 1 and 3 h intervals for both doses.

During the treatment with aprotinin only high dose at 1 hour time interval decreases the PAR1 expression on the cells. This data explains that ECCB is affected due to the expression of PAR1 is lowered by the high dose of aprotinin.

PAR2 is decreased by aprotinin:

  Figure 5 shows the high dose of aprotinin reduces the PAR2 expression close to 25% at 1h, 50% at 3h and none at 24h.  This pattern is exact opposite of PAR1 expression.  Figure 5 demonstrates the 50% decrease at 3h interval only.  Does that mean aprotinin affecting the inflammation first and then coagulation?

This suggests that aprotinin may affect the PAR2 expression at early and switched to PAR1 reduction later time intervals.  This fluctuation can be normal because aprotinin is not a specific inhibitor for proteases.  This approach make the aprotinin work better the control bleeding and preventing the inflammation causing cytokine such as IL-6.

Aprotinin inhibits Calcium fluxes induced by PAR1/2 specific agonists

  The specificity of aprotinin’s actions upon PAR studied the effects of the agent on calcium release following proteolytic and non-proteolytic stimulation of PAR1 and PAR2. Figure 6A (Figure 6) shows the stimulation of the cells with the PAR1 specific peptide (SFLLRN) results in release of calcium from the cells. Pretreatment of the cells with aprotinin has no significant effect on PAR1 peptide stimulated calcium release. This suggests that aprotinin has no effect upon the non-proteolytic direct activation of the PAR 1 receptor. Yet, Figure 6B (Figure 6) demonstrates human alpha thrombin does interact with the drug as a result the calcium release drops below base line after high dose (A1600) aprotinin used to zero but low dose does not show significant effect on calcium influx. Figure 7 demonstrates the direct PAR2 and indirect PAR2 stimulation by hFVIIa, hFXa, and trypsin of cells.  Similarly, at Figure 7A aprotinin has no effect upon PAR2 peptide stimulated calcium release, however, at figures 7B, C, and D shows that PAR2 stimulatory proteases Human Factor Xa, Human Factor VIIa and Trypsin decreases calcium release. These findings indicate that aprotinin’s mechanism of action is directed towards inhibiting proteolytic cleavage and hence subsequent activation of the PAR1 and PAR2 receptor complexes.  The binding site of the aprotinin on thrombin possibly is not the peptide sequence interacting with receptors.

Measurement of calcium concentration is essential to understand the mechanism of aprotinin on endothelial cell coagulation and inflammation because these mechanisms are tightly controlled by presence of calcium.  For example, activation of PAR receptors cause activation of G protein q subunit that leads to phosphoinositol to secrete calcium from endoplasmic reticulum into cytoplasm or activation of DAG to affect Phospho Lipase C (PLC). In turn, certain calcium concentration will start the serial formation of chain reaction for coagulation.  Therefore, treatment of the cells with specific factors, thrombin receptor activating peptides (TRAPs), human alpha thrombin, trypsin, human factor VIIa, and human factor Xa, would shed light into the effect of aprotinin on the formation of complexes for pro-coagulant activity.    DISCUSSION   There are two fold of outcomes to be overcome during cardiopulmonary bypass (CPB):  mechanical stress and the contact of blood with artificial surfaces results in the activation of pro- and anticoagulant systems as well as the immune response leading to inflammation and systemic organ failure.  This phenomenon causes the “postperfusion-syndrome”, with leukocytosis, increased capillary permeability, accumulation of interstitial fluid, and organ dysfunction.  CPB is also associated with a significant inflammatory reaction, which has been related to complement activation, and release of various inflammatory mediators and proteolytic enzymes. CPB induces an inflammatory state characterized by tumor necrosis factor-alpha release. Aprotinin, a low molecular-weight peptide inhibitor of trypsin, kallikrein and plasmin has been proposed to influence whole body inflammatory response inhibiting kallikrein formation, complement activation and neutrophil activation (5, 6). But shown that aprotinin has no significant influence on the inflammatory reaction to CPB in men.  Understanding the endothelial cell responses to injury is therefore central to appreciating the role that dysfunction plays in the preoperative, operative, and postoperative course of nearly all cardiovascular surgery patients.  Whether aprotinin increases the risk of thrombotic complications remains controversial.   The anti-inflammatory properties of aprotinin in attenuating the clinical manifestations of the systemic inflammatory response following cardiopulmonary bypass are well known(15) 16)  However its mechanisms and targets of action are not fully understood. In this study we have investigated the actions of aprotinin at the endothelial cell level. Our experiments showed that aprotinin reduced TNF-a induced IL-6 release from cultured HUVECS. Thrombin mediates its effects through PAR-1 receptor and we found that aprotinin reduced the expression of PAR-1 on the surface of HUVECS after 24 hours incubation. We then demonstrated that aprotinin inhibited endothelial cell PAR proteolytic activation by thrombin (PAR-1), trypsin, factor VII and factor X (PAR-2) in terms of less release of Ca preventing the activation of coagulation.  So aprotinin made cells produce less receptor, PAR1, PAR2, and TF as a result there would be less Ca++ release.    Our findings provide evidence for anti-inflammatory as well as anti-coagulant properties of aprotinin at the endothelial cell level, which may be mediated through its inhibitory effects on proteolytic activation of PARs.   IL6   Elevated levels of IL-6 have been shown to correlate with adverse outcomes following cardiac surgery in terms of cardiac dysfunction and impaired lung function(Hennein et al 1992). Cardiopulmonary bypass is associated with the release of the pro-inflammatory cytokines IL-6, IL-8 and TNF-a.  IL-6 is produced by T-cells, endothelial cells as a result monocytes and plasma levels of this cytokine tend to increase during CPB (21, 22). In some studies aprotinin has been shown to reduce levels of IL-6 post CPB(23) Hill(5). Others have failed to demonstrate an inhibitory effect of aprotinin upon pro-inflammatory cytokines following CPB(24) (25).  Our experiments showed that aprotinin significantly reduced the release of IL-6 from TNF-a stimulated endothelial cells, which may represent an important target of its anti-inflammatory properties. Its has been shown recently that activation of HUVEC by PAR-1 and PAR-2 agonists stimulates the production of IL-6(26). Hence it is possible that the effects of aprotinin in reducing IL-6 may be through targeting activation of such receptors.   TPA   Tissue Plasminogen activator is stored, ready made, in endothelial cells and it is released at its highest levels just after commencing CPB and again after protamine administration. The increased fibrinolytic activity associated with the release of tPA can be correlated to the excessive bleeding postoperatively. Thrombin is thought to be the major stimulus for release of t-PA from endothelial cells. Aprotinin’s haemostatic properties are due to direct inhibition of plasmin, thereby reducing fibrinolytic activity as well as inhibiting fibrin degradation.  Aprotinin has not been shown to have any significant effect upon t-PA levels in patients post CPB(27), which would suggest that aprotinin reduced fibrinolytic effects are not the result of inhibition of t-PA mediated plasmin generation. Our study, however demonstrates that aprotinin inhibits the release of t-PA from activated endothelial cells, which may represent a further haemostatic mechanism at the endothelial cell level.   TF   Resting endothelial cells do not normally express tissue factor on their cell surface. Inflammatory mediators released during CPB such as complement (C5a), lipopolysaccharide, IL-6, IL-1, TNF-a, mitogens, adhesion molecules and hypoxia may induce the expression of tissue factor on endothelial cells and monocytes. The expression of TF on activated endothelial cells activates the extrinsic pathway of coagulation, ultimately resulting in the generation of thrombin and fibrin. Aprotinin has been shown to reduce the expression of TF on monocytes in a simulated cardiopulmonary bypass circuit (28).

We found that treatment of activated endothelial cells with aprotinin significantly reduced the expression of TF after 24 hours. This would be expected to result in reduced thrombin generation and represent an additional possible anticoagulant effect of aprotinin. In a previous study from our laboratory we demonstrated that there were two peaks of inducible TF activity on endothelial cells, one immediately post CPB and the second at 24 hours (29). The latter peak is thought to be responsible for a shift from the initial fibrinolytic state into a procoagulant state.  In addition to its established early haemostatic and coagulant effect, aprotinin may also have a delayed anti-coagulant effect through its inhibition of TF mediated coagulation pathway. Hence its effects may counterbalance the haemostatic derangements, i.e. first bleeding then thrombosis caused by CPB. The anti-inflammatory effects of aprotinin may also be related to inhibition of TF and thrombin generation. PARs  

It has been suggested that aprotinin may target PAR on other cells types, especially endothelial cells. We investigated the role of PARs in endothelial cell activation and whether they can be the targets for aprotinin.  In recent study by Day group(30) demonstrated that endothelial cell activation by thrombin and downstream inflammatory responses can be inhibited by aprotinin in vitro through blockade of protease-activated receptor 1. Our results provide a new molecular basis to help explain the anti-inflammatory properties of aprotinin reported clinically.    The finding that PAR-2 can also be activated by the coagulation enzymes factor VII and factor X indicates that PAR may represent the link between inflammation and coagulation.  PAR-2 is believed to play an important role in inflammatory response. PAR-2 are widely expressed in the gastrointestinal tract, pancreas, kidney, liver, airway, prostrate, ovary, eye of endothelial, epithelial, smooth muscle cells, T-cells and neutrophils. Activation of PAR-2 in vivo has been shown to be involved in early inflammatory processes of leucocyte recruitment, rolling, and adherence, possibly through a mechanism involving platelet-activating factor (PAF)   We investigated the effects of TNFa stimulation on PAR-1 and PAR-2 expression on endothelial cells. Through functional analysis of PAR-1 and PAR-2 by measuring intracellular calcium influx we have demonstrated that aprotinin blocks proteolytic cleavage of PAR-1 by thrombin and activation of PAR-2 by the proteases trypsin, factor VII and factor X.  This confirms the previous findings on platelets of an endothelial anti-thrombotic effect through inhibition of proteolysis of PAR-1. In addition, part of aprotinin’s anti-inflammatory effects may be mediated by the inhibition of serine proteases that activate PAR-2. There have been conflicting reports regarding the regulation of PAR-1 expression by inflammatory mediators in cultured human endothelial cells. Poullis et al first showed that thrombin induced platelet aggregation was mediated by via the PAR-1(4) and demonstrated that aprotinin inhibited the serine protease thrombin and trypsin induced platelet aggregation. Aprotinin did not block PAR-1 activation by the non-proteolytic agonist peptide, SFLLRN indicating that the mechanism of action was directed towards inhibiting proteolytic cleavage of the receptor. Nysted et al showed that TNF did not affect mRNA and cell surface protein expression of PAR-1 (35), whereas Yan et al showed downregulation of PAR-1 mRNA levels (36). Once activated PAR1 and PAR2 are rapidly internalized and then transferred to lysosomes for degradation.

Endothelial cells contain large intracellular pools of preformed receptors that can replace the cleaved receptors over a period of approximately 2 hours, thus restoring the capacity of the cells to respond to thrombin. In this study we found that after 1-hour stimulation with TNF there was a significant upregulation in PAR-1 expression. However after 3 hours and 24 hours there was no significant change in PAR-1 expression suggesting that cleaved receptors had been internalized and replenished. Aprotinin was interestingly shown to downregulate PAR-1 expression on endothelial cells at 1 hour and increasingly more so after 24 hours TNF stimulation. These findings may suggest an effect of aprotinin on inhibiting intracellular cycling and synthesis of PAR-1.    

Conclusions   Our study has identified the anti-inflammatory and coagulant effects of aprotinin at the endothelial cell level. All together aprotinin affects the ECCB by reducing the t-PA, IL-6, PAR1, PAR 2, TF expressions. Our data correlates with the previous foundlings in production of tPA (7, (8) 9) 10), and  decreased IL-6 levels (11) during coronary artery bypass graft surgery (12-14). We have importantly demonstrated that aprotinin may target proteolytic activation of endothelial cell associated PAR-1 to exert a possible anti-inflammatory effect. This evidence should lessen the concerns of a possible prothrombotic effect and increased incidence of graft occlusion in coronary artery bypass patients treated with aprotinin. Aprotinin may also inhibit PAR-2 proteolytic activation, which may represent a key mechanism for attenuating the inflammatory response at the critical endothelial cell level. Although aprotinin has always been known as a non-specific protease inhibitor we would suggest that there is growing evidence for a PAR-ticular mechanism of action.  

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FIGURES

Figure 1: IL-6 production following TNF-a stimulation Figure 1

Figure 2:  tPA production following TNF-a stimulation Figure 2

Figure 3:  Tissue Factor Expression on TNF-a stimulated HUVECS Figure 3

Figure 4:  PAR-1 Expression on TNF-a stimulated HUVECS Figure 4

Figure 5:  PAR-2 Expression on TNF-a stimulated HUVECS Figure 5

Figure 6:  Calcium Fluxes following PAR1 Activation Figure 6

Figure 7:  Calcium Fluxes following PAR2 Activation Figure 7

 

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