Genotype found in 30 percent of ALS patients speeds up disease progression

Mice bred to carry a gene variant found in a third of ALS patients have a faster disease progression and die sooner than mice with the standard genetic model of the disease, according to Penn State College of Medicine researchers. Understanding the molecular pathway of this accelerated model could lead to more successful drug trials for all ALS patients.

Amyotrophic lateral sclerosis, commonly known as Lou Gehrig’s disease, is a degeneration of lower and upper motor neurons in the brainstem, spinal cord and the motor cortex. The disease, which affects 12,000 Americans, leads to loss of muscle control. People with ALS typically die of respiratory failure when the muscles that control breathing fail.

Penn State researchers were the first to discover increased iron levels in the brains of some patients with the late-onset neurodegenerative disorders Parkinson’s disease and Alzheimer’s disease. A decade ago, they also identified a relationship between ALS and excess iron accumulation when they found that 30 percent of ALS patients in their clinic carried a variant of a gene known as HFE that is associated with iron overload disease.

For this study, the researchers crossbred mice with the HFE gene variant with the standard mice used in ALS research.

‘When we followed the disease progression and the behaviour of our crossbred mice compared to the standard mice, we saw significant differences,’ said James Connor, vice chair of neurosurgery research and director of the Center for Aging and Neurodegenerative Diseases. The crossbred mice performed significantly worse on tests of forelimb and hindlimb grip strength and had a 4 percent shorter life span.

‘The disease progression was much faster in the crossbred mice than in the standard mice,’ Connor said. ‘What we found is that when ALS happens in the presence of the HFE gene variant, things go downhill more quickly.’

The lead investigator on this project, graduate student Wint Nandar, noticed that the HFE gene variant sped up disease progression and death in females but not males. Males with ALS die faster, on average, than females.

Connor said the variant may not have had time to accelerate the pace of the disease in male mice. An accelerated progression may show up in clinical trials in human males, who live longer with the disease than mice.

The researchers also studied how the HFE gene modified the pace of the disease in mice. The crossbred mice showed increased oxidative stress and microglial activation. Microglial cells normally help with repair in the body, but when over-activated they can promote unhealthy inflammation.

‘They can make things worse instead of better,’ Connor said.

The mice were also found to have disruption of the neurofilaments, the tiny cables that transport nutrients through nerve cells.

 ‘It’s a much worse environment when the gene variant is present,’ Connor said. ‘This makes it much easier for the disease to take off.’

The findings could help direct more successful clinical testing of new drug treatments, which have traditionally had disappointing results. Because patients with H63D HFE have an accelerated form of the disease, their results could skew study findings.

‘There might be drugs out there that work for 70 percent of the ALS population even though the studies don’t show that when all of the data are looked at without consideration of the genetic background,’ Connor said.

Separating the data out could help find effective treatments for both those with the gene variant and the rest of the ALS population.

‘How a drug is going to work on a carrier of the gene variant could be worse or it could be better, but it’s likely going to be different,’ Connor said. Penn State

Test to rapidly diagnose bloodstream infection

A new bloodstream infection test created by UC Irvine researchers can speed up diagnosis times with unprecedented accuracy, allowing physicians to treat patients with potentially deadly ailments more promptly and effectively.

The UCI team, led by Weian Zhao, assistant professor of pharmaceutical sciences, developed a new technology called Integrated Comprehensive Droplet Digital Detection. In as little as 90 minutes, IC 3D can detect bacteria in milliliters of blood with single-cell sensitivity; no cell culture is needed.

“We are extremely excited about this technology because it addresses a long-standing unmet medical need in the field,” Zhao said. “As a platform technology, it may have many applications in detecting extremely low-abundance biomarkers in other areas, such as cancers, HIV and, most notably, Ebola.”

Bloodstream infections are a major cause of illness and death. In particular, infections associated with antimicrobial-resistant pathogens are a growing health problem in the U.S. and worldwide. According to the Centers for Disease Control & Prevention, more than 2 million people a year globally get antibiotic-resistant blood infections, with about 23,000 deaths. The extremely high mortality rate for blood infections is due, in part, to the inability to rapidly diagnose and treat patients in the early stages.

Recent molecular diagnosis methods, including polymerase chain reaction, can reduce the assay time to hours but are often not sensitive enough to detect bacteria that occur at low concentrations in blood, as is common in patients with blood infections.

The IC 3D technology differs from other diagnostic techniques in that it converts blood samples directly into billions of very small droplets. Fluorescent DNA sensor solution infused into the droplets detects those with bacterial markers, lighting them up with an intense fluorescent signal. Zhao said that separating the samples into so many small drops minimizes the interference of other components in blood, making it possible to directly detect target bacteria without the purification typically required in conventional assays.

To identify bacteria-containing droplets among billions of others in a timely fashion, the team incorporated a three-dimensional particle counter developed by UCI biomedical engineer Enrico Gratton and his colleagues that tags fluorescent particles within several minutes.

“The IC 3D instrument is designed to read a large volume in each measurement, to speed up diagnosis,” Gratton said. “Importantly, using this technique, we can detect a positive hit with very high confidence.” University of California, Irvine

It’s not always the DNA

Damage to DNA is an issue for all cells, particularly in cancer, where the mechanisms that repair damage typically fail. The same agents that damage DNA also damage its sister molecule messenger RNA (mRNA), which ferries transcripts of the genes to the tens of thousands of ribosomes in each cell. But little attention has been paid to this damage.

 “There may be cases where messenger RNA is just as important as DNA,” said Carrie Simms, PhD, a postdoctoral associate in Zaher’s lab. “Clearly oxidative damage to RNA is somehow involved in neurodegenerative diseases, such as Alzheimer’s and ALS. It’s not necessarily causing the disease; it may just be some sort of by-product; but it’s in the mix.”

“Under normal conditions only about 1 percent of the cellular mRNAs are oxidized,” Zaher said, “but if you have oxidative stress, for whatever reason, a higher percentage can be damaged.

One of the hallmarks of Alzheimer’s is oxidative stress, and studies have shown that in people with advanced Alzheimer’s, half of the RNA molecules in the neurons may be oxidized.

Zaher, Simms and their colleagues report that when they fed oxidized mRNA to ribosomes, the nanomachines that convert mRNA to protein, the ribosomes jammed and stopped.

A stuck ribosome could be rescued by factors that released it from the mRNA and chewed up the damaged transcipt. But if the factors involved in this quality-control system were absent, damaged mRNA accumulated in the cell, just as it does in Alzheimer’s.

The three cellular processes essential to life—making copies of DNA, copying DNA into mRNA, and translating the mRNA into protein—have been penalized for billions of years by evolution, are astonishingly accurate, because evolution has heavily penalized any sloppiness.

Errors in DNA copying occur only once every billion events. When DNA is transcribed to mRNA, there is a mistake about once every ten thousand events .and when the mRNA is translated to protein, there might be an error once every thousand events.

To test the robustness of translation, the Zaher lab set out to break it, by giving faulty mRNA transcripts to ribosomes. They damaged one letter in a three-letter mRNA coding unit, oxidizing a G (the base guanine), to create what is called 8-oxo-G.

“We chose this oxidized base,” he said,” because we knew that when DNA is copied, an oxidized G causes a mistake. Instead of pairing with a C, as it normally would, 8-oxo-G will pair with an A.”

He thought the ribosome would read the three-letter codon C[8-oxo-G]C not as CGC but rather as CAC and conseqeuntly put the wrong amino acid in the protein chain it was making.

But when 8-oxo-G was added to a soup that contained all the factors needed to translate mRNA into protein, something surprising happened.

“We expected that we might get aberrant proteins,“ Simms said. “But the ribosome didn’t make mistakes.  It just stopped. It couldn’t deal with the mRNA at all”

The scientsts could tell it was stuck because levels of the protein the faulty mRNA encodes plummeted.

To make sure it was the presence rather than the position of the 8-oxo-G that mattered, Simms made mRNAs with the 8-oxo-G in each of the three positions of the three-letter coding unit. Each time the ribosome stalled.

Knowing they had found something interesting, the scientists upped their game. Simms built a longer 300-nucleotide mRNA to use as a probe. And instead of adding the damaged mRNA to a reconstituted bacterial system, she put it in extracts of plant and animal cells.

“We couldn’t look at ribosomes in the extracts,” Simms said, “but we could look at the proteins they made. They made short proteins, exactly the length you’d expect if the ribosome were stopping at the damaged base. “

A single mRNA typically has several ribosomes traveling along it, all simultaneously translating this transcript into protein. When the first ribosome stops, the others pile up behind it.

“You get this small product that is telling you the ribosome cannot go through the 8-oxo-G and then you get even smaller products that are telling you there are multiple ribosomes stuck behind the first ribosome. So the backed up ribosomes make a ladder of peptides,” Zaher said.

“This is a problem,” he said. “Among other things, the ribosome is an expensive machine that the cell has invested a lot of energy in making, and now it’s stuck on an mRNA. You need those ribosomes back.”

Fortunately ribosomes have three quality-control systems that keep watch for errors in the mRNA and rescue the ribosome if spot serious mistakes. One of these systems is “no-go decay.” When ribosomes are stuck and can’t go forward, they recruit factors that come in to pry open the ribosome, chew up the mRNA and add a tag to the defective peptide  that marks it for degradation.”

But no-go decay was originally discovered by throwing artificial roadblocks in the ribosome’s way: mRNAs with large hairpin turns in them that the ribosome could not unwind or plow through.

“Four billion years of evolution has made sure your genome does not have sequences that make hairpins, so these are clearly not the intended targets for no-go decay,” Zaher said.

To find out, the scientists turned to yeast cells. If the yeast’s ribosomes jammed on the oxidized mRNA but were rescued by no-go decay, very little damaged mRNA would accumulate in the cell. This proved to be the case.

Simms then deleted the gene for a factor that releases the ribosome from the mRNA when it jams. In these knockout yeast the level of oxidized mRNA went up. Then she deleted the gene for a factor that is recruited to degrade the mRNA after the ribosome is released, and again the level of oxidized mRNA rose. Without no-go decay, the cells were clearly in trouble.

“The system that translates mRNA into protein is highly conserved, so what’s true for yeast is probably true for people as well,” said Zaher. Washington University in St. Louis.

A signature for success

A team led by Ludwig and Memorial Sloan Kettering (MSK) researchers has published a landmark study on the genetic basis of response to a powerful cancer therapy known as immune checkpoint blockade. Their paper describes the precise genetic signatures in melanoma tumours that determine whether a patient will respond to one such therapy. It also explains in exquisite detail how those genetic profiles translate into subtle molecular changes that enable the immune system attack of cancer cells in response to immune checkpoint blockade.

“The genetic signature we have found will be invaluable to understanding the biological mechanisms that drive therapeutic responses to immunotherapy for metastatic melanoma,” says Jedd Wolchok, MD, PhD, director of the Ludwig Collaborative Laboratory and associate director of the Ludwig Center for Cancer Immunotherapy at MSK, who co-led the study with Timothy Chan, MD, PhD, of MSK’s Human Oncology and Pathogenesis Program. “Further, our strategy can now be applied to determine the genetic signatures associated with the efficacy of a number of other immunotherapies and cancers.”

Few approaches to treating cancer have generated as much excitement as immunotherapy, in which the immune system is engaged to destroy malignancies. One class of such treatments targets CTLA-4, a molecule expressed on the surface of killer T cells that ordinarily blocks their proliferation. Antibody drugs that block CTLA-4 thus stimulate killer T cell responses—which can target cancer cells—and significantly extend survival for many melanoma patients. Yet not all patients respond equally to this treatment: some, remarkably, survive many years; others fail to respond at all.

“There is a subset of melanoma patients who are living far longer than anyone would have expected in the past, largely because of this treatment and other recently developed targeted and immunologic treatments,” says Wolchok. “But we did not know how to identify them, and that’s what really drove this investigation.”

Cancer cells are swift but sloppy proliferators, generating countless mutations across their genome as they multiply. Those mutations are often expressed as changes in the chains of amino acids that make protein molecules. Like all cells, cancer cells chop up and hold out short fragments of such proteins—each about 9 amino acids in length—for the immune system to assess. These “peptides” are held up and presented to immune cells by a protein complex known as MHC Class I, which varies significantly between people.

“Previous studies by Jedd and others had shown that the particular MHC type of a patient doesn’t appear to influence the efficacy of CTLA-4 blockade,” says Chan. “So we decided to see if the tumour genome has anything to say about whether or not people respond to this therapy. The result was entirely unexpected, and the answer is exceedingly important.”

Chan, Wolchok and their colleagues initially hypothesized that tumours that harboured highly mutated cells would be most responsive to CTLA-4 blockade. To test that hypothesis, they sequenced and compared all of the genes expressed as proteins (collectively known as the “exome”) in tumours taken from 25 patients treated with anti-CTLA-4 antibodies and found that this was, to some degree, true. “But looking at the data a little more deeply,” says Wolchok, “we saw that there were outliers—patients who had over one thousand mutations who didn’t respond, and some with just a few dozen who did. This was a strong indication that the quality of the mutations matters.”

A sophisticated computational analysis of the cancer genomes revealed that a set of core peptide sequences—each four amino acids long (tetrapeptides)—within MHC Class I-presented peptides were unequivocally associated with response to treatment. To test the prognostic power of this genetic signature, the researchers sequenced the exomes of tumours from another 39 melanoma patients treated with CTLA-4 blockade. They found that all those in this set who had responded to the therapy had at least one and typically several more of the tetrapeptides they had identified. Those who failed to respond did not. Their results show that the mutant DNA sequences, can occur anywhere in the genome—not just within mutant “driver” genes that are already known to contribute to cancer.

“The more mutated the tumor’s genome is,” says Chan, “the more likely it is that immunotherapy will work. Since tumours induced by tobacco—such as those of non-small cell lung cancer—have more mutations than most other cancers except melanoma, this finding has enormous medical implications for these genetically diverse cancers.”

It also helps explain, says Wolchok, why the relatively more mutated cancers have been found in clinical trials to be the most responsive to checkpoint blockade. Ludwig Cancer Research

New computer model predicts gut metabolites to better understand gastrointestinal disease

Tufts University School of Engineering researchers and collaborators from Texas A&M University have published the first research to use computational modelling to predict and identify the metabolic products of gastrointestinal (GI) tract microorganisms. Understanding these metabolic products, or metabolites, could influence how clinicians diagnose and treat GI diseases, as well as many other metabolic and neurological diseases increasingly associated with compromised GI function.

The human GI tract is colonized by billions of bacteria and other microorganisms, belonging to hundreds of species that are collectively termed ‘microbiota.’ Disruptions in the microbiota composition, and subsequently the metabolites derived from the microbiota, are increasingly correlated not only to GI diseases such as inflammatory bowel disease (IBD) and colitis, but also to insulin resistance and Type 2 diabetes.

‘There is increasing evidence that microbiota-derived metabolites play a significant role in modulating physiological functions of the gut,’ said Professor Kyongbum Lee, senior author on the paper and chair of the Department of Chemical and Biological Engineering in Tuft School of Engineering. ‘Emerging links between the GI tract microbiota and many other parts of the body, including the brain, suggest the tantalizing possibility to influence even cognition and behaviour through relatively benign interventions involving diets or probiotics.’

However, to date, only a handful of metabolites principally produced by microbiota—rather than the host organism itself—have been identified. Identifying microbiota-derived metabolites and understanding their effects on specific host functions could open up new avenues of basic and clinical research to develop safe, targeted therapies involving molecules that, by definition, constitute the natural chemical makeup of the host.

‘Current methods of identifying and quantifying these metabolites are unable to distinguish whether the metabolites are produced by the host or the microbiota,’ said Lee.

The newly reported approach models the microbiome as a single, complex network of reactions. By using computational algorithms for network analysis, virtual pathways can be constructed to determine possible metabolic products. Then, these products can be parsed into host-derived or microbiota-derived metabolites.

The research team focused on aromatic amino acids (AAAs) because their metabolites are involved in many of the more than 2,400 distinct reactions expressed in the microbiota as a whole.

‘In addition, we studied AAA-derived metabolites because AAAs can give rise to a variety of bioactive chemicals, such as salicylic acid, an anti-inflammatory compound, and serotonin, which is a neurotransmitter, obviously important in proper brain function,’ said Lee.

Work previously published in the Proceedings of the National Academy of Sciences from Lee’s collaborator Arul Jayaraman, professor in the Artie McFerrin Department of Chemical Engineering at Texas A&M University who holds a master’s from Tufts School of Engineering, had already demonstrated that indole, a bacterial metabolite derived from the aromatic amino acid tryptophan, caused an anti-inflammatory response in the gut and increased resistance to pathogen colonization that could lead to infection

The algorithmic model in the research published today predicted 49 different metabolites would appear as exclusive to the microbiota. In vivo tests on mice then confirmed the presence of more than half of the predicted metabolites, including two novel metabolites, which play a role in the pathways that regulate microbiota metabolism as well as host immune function.

Next steps for the team include identifying microbiota metabolites whose levels are either significantly elevated or depleted during diseases such as IBD or cancer, to find disease-specific markers and explore possible roles for these metabolites in disease progression.

‘Ultimately, the goal is to apply our models to arrive at a mechanistic understanding of the roles microbiota products may play in human physiology, and in turn, diagnose and treat disease,’ said Lee. ‘I think the potential for impact is immense.’ Tufts University

Connecting the dots of our genome

One of the central questions in human biology is to understand how our genes determine which diseases we get and how severe they might be. Knowing just the DNA sequence, or the blueprint, is not enough. We must figure out how proteins, the genes’ products, work too.

Now an international team of researchers, jointly led by Dr. Fritz Roth (at Mount Sinai Hospital’s Lunenfeld-Tanenbaum Research Institute and the Donnelly Centre of the University of Toronto), and Dr. Marc Vidal (with the Dana-Farber Cancer Institute and Harvard Medical School in Boston), have produced the largest ever map of human protein interactions. This publicly available resource will be invaluable to anyone trying to understand complex genetic traits and develop new disease therapies.

“It is realistic to think that many of the people reading this will have their genomes sequenced within their lifetimes. The next challenge is to figure out what their genomes mean,” says Dr. Roth. “You cannot figure out how the car works based on the parts list. You have to know how they fit together.”

This is because genes do not do the work in a cell. Rather, the work is usually done by the proteins that genes provide the plans for. Some pairs of proteins stick together, or ‘interact’ when they are in close contact with each other. These interactions underlie all of cell’s biology and mediate processes such as gene expression, cell metabolism, and transporting other molecules within a cell.

Having a detailed map of protein interactions bring us one step closer to understanding the relationship between our genes (genotype) and our physiology in health and disease (phenotype).

Drs. Roth and Vidal, and their colleagues, analysed direct interactions in pairwise combinations between 13,000 proteins. Out of 85 million possible interactions they found 14,000 directly-interacting protein pairs. This more than doubles the previous set of known interactions, making it the largest ever experimentally determined human protein interaction map.

“We’ve managed to peer into the car and connect a fraction of the parts,” says Dr. Roth.

The study reveals several important findings. The new map can be used to identify novel genes involved in diseases. If a novel protein, which we know nothing about, interacts with a known protein that has a role in a disease, then the novel protein is highly likely to be involved in that same disease. Dr. Roth and colleagues illustrate this point by identifying a novel cancer gene STAT3 based on its interactions with known cancer genes. Their finding was confirmed when STAT3 subsequently became included into the cancer gene database based on independent evidence.
 Further unbiased analyses identified 100 strong cancer candidate genes, 60 of which were connected to known cancer molecular pathways. Some of these genes are completely novel. This shows the potential of the human interaction map in revealing new disease genes and promising therapeutic targets.

Mapping all human protein interactions is a colossal task and will require several different approaches. This is because not every method can find every protein interaction. Dr. Roth estimates that they found, using a yeast two hybrid method, 5-10% of all protein interactions, a substantial increase from their previous paper that reported 1% of interactions.

“Although much sweat and some tears were put into analysing this new map, it is clear that we have only scratched the surface of what these interactions can tell us about human disease. It is personally very exciting to anticipate the discoveries to come, as it passes from our hands into the research community,” says Dr. Roth. Lunenfeld-Tanenbaum Research Institute

Immune cells from the spleen found to control chronic high blood pressure

High blood pressure is a leading cause of death around the world, and its prevalence continues to rise. A study shows that a protein in the spleen called placental growth factor (PlGF) plays a critical role in activating a harmful immune response that leads to the onset of high blood pressure in mice. The findings pave the way for the development of more effective treatments for this common and deadly condition.

High blood pressure, also known as hypertension, affects more than 1 billion people worldwide and is a major risk factor for stroke, heart failure, and kidney diseases. Mounting evidence suggests that immune cells such as T cells contribute to the development of hypertension, but the underlying mechanisms have not been clear. Senior study author Giuseppe Lembo of IRCCS Neuromed and his team suspected that PlGF could be the missing link because it plays important roles in both the cardiovascular system and the immune system.

The researchers found support for this idea in the new study. Mice that were genetically engineered to lack PlGF did not develop hypertension after they were infused with angiotensin II–a hormone that normally increases blood pressure. These mice were also protected from hypertension-related heart and kidney damage, unlike genetically normal mice. Moreover, PlGF deficiency prevented T cells from leaving the spleen, entering the blood stream, and infiltrating the vessels and kidneys where hypertension was manifested. Additional experiments revealed that the nervous system controls levels of PlGF in the spleen, and PlGF in the spleen in turn is essential for the activation of T cells and the onset of hypertension.

‘In recent years, anti-PlGF monoclonal antibodies have been developed as a strategy to slow tumor growth and for age-related macular degeneration,’ says lead study author Daniela Carnevale. ‘The ongoing clinical trials testing humanized monoclonal antibodies directed to PlGF opens up the possibility of targeting it in hypertension too.’

‘There is a pressing need for new treatments to control and better target resistant hypertension,’ says Lembo. ‘PlGF is an appealing molecular therapeutic target because clinical tools to target this pathway already exist.’ EurekAlert

Marker that predicts changes in cholesterol levels as people grow older

It’s known that cholesterol levels typically rise as people age and that high cholesterol levels are associated with increased risk of cardiovascular disease. What’s less known is that cholesterol levels begin to decline the more a person ages. Recently, researchers from the University of Texas Medical Branch at Galveston and the University of Kentucky found that differences in one gene can influence a person’s cholesterol levels from midlife to late life.

The study analysed data from the blood samples of more than 590 people from the Framingham Heart Study Original Cohort. The specific gene, APOE, encodes proteins involved in maintaining cholesterol levels. People have different alleles, or variations, of APOE. Three of these alleles are APOE e2, APOE e3 and APOE e4. The APOE e4 allele is associated with an increased risk for several aging-related diseases, including Alzheimer’s disease and cardiovascular diseases such as stroke and coronary heart disease. The APOE e2 allele, on the other hand, is associated with a decreased risk for these diseases.

“The increased risk for cognitive and cardiovascular diseases among older adults who carry an APOE e4 allele may be due, in part, to the fact that these individuals are predisposed to having higher total cholesterol and lower HDL cholesterol from midlife through late life, compared to people with the APOE 3 variant,” said Brian Downer, lead author and UTMB Sealy Center on Aging postdoctoral fellow. “The decreased risk for these diseases associated with the APOE e2 allele may be due to the lower total cholesterol and higher HDL cholesterol across the life span. Further research is needed to determine if reducing total cholesterol and increasing HDL cholesterol decreases the risk for cognitive and vascular diseases among adults who carry APOE e4 alleles.”

Another surprising finding of the study is that higher cholesterol in older adults may be associated with longevity. The researchers observed that adults who lived past 90 years of age had higher total cholesterol during late life compared to adults who did not live past 80 or 90 years of age. This may have important implications for continuing the practice of prescribing cholesterol-lowering medications to older adults.

“The relationship between APOE, cholesterol and longevity is complex and it is important to continue conducting research in this area so that older adults know how to appropriately manage cholesterol levels during old age,” said Downer. One could argue that it may be harmful to prescribe medications to lower cholesterol based on evidence that low cholesterol and a decline in cholesterol in older adults is associated with increased mortality. However, further research will be needed to confirm whether a decline in cholesterol plays a direct role in mortality or if this decline is a result of changes that occur during the period of terminal decline prior to death. University of Texas Medical Branch at Galveston

Doctors from around the world to close in on diabetes breakthrough at Arab Health Congress 2015

Latest figures by the International Diabetes Federation (IDF) have shown that an average 20% of the GCC population and nearly 19% of the UAE population now live with diabetes, with a marked increase in type II diagnoses. Coupled with this rise in disease prevalence, the Health Authority Abu Dhabi (HAAD) is forecasting nearly fourfold increase of healthcare cost for UAE nationals between 2010 and 2030. 
With the pancreas transplantation solution (that involves implanting a healthy pancreas, one that can produces insulin, into an insulin-dependent diabetic patient who is at risk of severe complications) being considered as a more accessible therapy for diabetic patients, the Arab Health Congress, running alongside Arab Health in January 2015 in Dubai, brings together leading practitioners in the field to discuss approaches to address the social and economic burden of the regional rising rate of the disease. 
Commenting on the potentially groundbreaking role of drug discovery and transplantation therapies ahead of his speech at the Arab Health Congress, Dr Mikel Prieto, Surgical Director of the Kidney and Pancreas Transplant Program and Paediatric Kidney Transplantation Medical Director of International Practice Operations at the Mayo Clinic said: “Pancreas transplantation has come of age in the 21st century. The results of this relatively rare type of transplant are outstanding with graft and patient survival rates well above 90 percent. This procedure represents an excellent option for the type of diabetic patients who have significant difficulty controlling their blood sugar or who have developed kidney disease as a consequence of their diabetes. Today, we can offer them a pancreas transplant or a combined pancreas and kidney transplant. This will free them from the need to inject themselves with insulin several times a day.”
World Diabetes Day, which took place on the 14th of November, was also a reminder of the need for urgent action to fight against the disease in order to prevent the rate of diabetes in the Middle East from doubling in the next 20 years. The IDF estimates the adult population in the MENA region will increase from 375 million in 2013 to 584 million by 2035, with diabetes sufferers rising from 34.6 million to 67.9 million.

www.arabhealthonline.com

Protein elevated in blood predicts post-concussion symptom severity in professional athletes

New Penn Medicine research has found that elevated levels in the blood of the brain-enriched protein calpain-cleaved αII-spectrin N-terminal fragment, known as SNTF, shortly after sports-related concussion can predict the severity of post-concussion symptoms in professional athletes.

This new study builds on previous research from this group showing that elevated blood levels of SNTF on the day of a mild traumatic brain injury treated in the emergency room predicted those patients who would go on to suffer diffuse axonal injury and long-term cognitive dysfunction.

“We extended this biomarker research to the domain of professional sports to test its merit as an objective and rapid way to determine players’ severity of brain injury,” says lead author, Robert Siman, PhD, Research Professor of Neurosurgery at Penn. “This blood test may aid neurobiologically-informed decisions on suitability for return to play following a sports-related concussion.”

The study, conducted in collaboration with Henrik Zetterberg, MD, PhD and Kai Blennow, MD, PhD, of the Sahgrenska Academy at University of Gothenburg, Sweden, and their colleagues, enrolled 288 players in the top Swedish professional ice hockey league.  Each of the 28 players who suffered a concussion during the first half of the 2012-2013 season received serial blood draws and was evaluated daily for symptom resolution using the latest guidelines for treatment of sports concussions. Eight of the concussed players were symptom-free within a few days of their injury, but 20 of the players had persistent post-concussion symptoms requiring they be withheld from play six days or longer.  An additional 45 players were evaluated during the preseason, 17 of whom were also tested before and after a concussion-free training game.

Compared to those players who were not concussed, or whose concussion symptoms resolved rapidly, the researchers found an increase in the blood SNTF concentration from one hour up to 144 hours post-concussion in those players experiencing persisting post-concussion symptoms.  SNTF is a protein that is present at undetectable levels in healthy human brains, but is produced under conditions where nerve cells are traumatized and begin to die.  Concussions that lead to lasting brain dysfunction cause SNTF to accumulate in vulnerable long axon tracts of the brain, and its blood elevation is a measure of this diffuse axonal injury.

“These results show that SNTF has promise as a blood biomarker for sports-related concussion and beyond. High blood levels of SNTF appear to identify acute brain damage that corresponds with persisting symptoms after concussion.  These observations lend further support to the growing awareness that concussion is not trivial, since it can induce permanent brain damage in some individuals,” agree Siman and senior author, Douglas H. Smith, MD, professor of Neurosurgery and director of the Center for Brain Injury and Repair at Penn. Penn Medicine