Mutations of the bassoon gene causing new brain disorder

Newly discovered gene mutations may help explain the cause of a disease that drastically impairs walking and thinking.
Mutations have been found in the bassoon (BSN) gene, which is involved with the central nervous system, in patients with symptoms similar to, but different from, a rare brain disorder called progressive supranuclear palsy (PSP).
PSP, a form of Parkinson’s disease, is often difficult to diagnose because it can affect people in different ways. Serious problems often include difficulty with walking and balance in addition to a decline in cognitive abilities such as frontal lobe dysfunction.
A team of Japanese researchers investigated patients whose symptoms resembled not only PSP but also Alzheimer’s disease. Despite similarities in the symptoms, detailed pathological analyses showed no resemblance to either disease, which prompted the team to further research the new disease’s underlying mechanism.
They first analysed the genomes of a Japanese family with several members displaying PSP-like symptoms. They identified a mutation in the BSN gene only in family members with symptoms. These individuals did not have mutations in the 52 other genes associated with PSP and other neurological disorders such as Alzheimer’s and Parkinson’s. This was the first time BSN gene is associated with a neurological disorder.
The researchers also detected three other mutations in the BSN gene in four out of 41 other patients displaying sporadic, or non-familial, PSP-like symptoms. None of the BSN mutations were detected in a random sample of 100 healthy individuals, underscoring the strong involvement of BSN mutations in the disease.
An autopsy done on one of the family members with the BSN mutation showed an accumulation of a protein called tau in the brain, which is not seen in a normal brain. The researchers believe that the BSN mutation is involved in the tau accumulation, which could cause the development of PSP-like symptoms. An experiment introducing a mutated rat BSN gene to cultured cells also suggested that the mutation causes the accumulation of tau. Communication between nerve fibres could also be affected, as BSN protein play a role in it.
ScienceDailywww.sciencedaily.com/releases/2018/03/180323093731.htm

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A new blood test useful to detect people at risk of developing Alzheimer’s disease

There is as yet no cure for Alzheimer’s disease. It is often argued that progress in drug research has been hampered by the fact that the disease can only be diagnosed when it is too late for an effective intervention. Alzheimer’s disease is thought to begin long before patients show typical symptoms like memory loss. Scientists have now developed a blood test for Alzheimer’s disease and found that it can detect early indicators of the disease long before the first symptoms appear in patients. The blood test would thus offer an opportunity to identify those at risk and may thereby open the door to new avenues in drug discovery.
One of the hallmarks of Alzheimer’s disease is the accumulation of amyloid-β plaques in the patient’s brain. The blood test, developed by Klaus Gerwert and his team at Ruhr University Bochum, Germany, works by measuring the relative amounts of a pathological and a healthy form of amyloid-β in the blood. The pathological form is a misfolded version of this molecule and known to initiate the formation of toxic plaques in the brain. Toxic amyloid-β molecules start accumulating in the patients’ body 15-20 years before disease onset. In the present study, Gerwert and colleagues from Germany and Sweden addressed whether the blood test would be able to pick up indications of pathological amyloid-β in very early phases of the disease.
The researchers first focused on patients in the early, so called prodromal stages of the disease from the Swedish BioFINDER cohort conducted by Oskar Hanson. They found that the test reliably detected amyloid-β alterations in the blood of participants with mild cognitive impairment that also showed abnormal amyloid deposits in brain scans.
In a next step, Gerwert and colleagues investigated if their assay was able to detect blood changes well ahead of disease onset. They used data from the ESTHER cohort study, which Hermann Brenner started in 2000 at DKFZ, comparing blood samples of 65 participants that were later in the follow-up studies diagnosed with Alzheimer’s disease with 809 controls. The assay was able to detect signs of the disease on average eight years before diagnosis in individuals without clinical symptoms. It correctly identified those with the disease in almost 70% of the cases, while about 9% of true negative subjects would wrongly be detected as positive. The overall diagnostic accuracy was 86%.
Currently available diagnostic tools for Alzheimer’s disease either involve expensive positron emission tomography (PET) brain scans, or analyse samples of cerebrospinal fluid that are extracted via lumbar puncture. The researchers suggest that their blood test serves as a cheap and simple option to pre-select individuals from the general population for further testing by these more invasive and costly methods to exclude the falsely positive subjects.
EMBOwww.embo.org/news/press-releases/2018/a-new-blood-test-useful-to-detect-people-at-risk-of-developing-alzheimer-s-disease

Machine learning finds tumour gene variants and sensitivity to drugs

Matching unique genetic information from cancer patients’ tumours with treatment options – an emerging area of precision medicine efforts – often fails to identify all patients who may respond to certain therapies. Other molecular information from patients may reveal these so-called “hidden responders,” according to a Penn Medicine.
“Targeted sequencing can find individuals with certain mutations that are thought to confer susceptibility to anti-cancer drugs,” said senior author Casey Greene, PhD, an assistant professor of Pharmacology in the Perelman School of Medicine at the University of Pennsylvania. “But many people may lack these mutations, and as machine learning approaches improve they may help guide these patients to appropriate therapies.
”Greene and first author and doctoral student Gregory P. Way used machine learning to classify abnormal protein activity in tumours. This branch of artificial intelligence develops computer programs that can use new data to learn and make predictions. The algorithm they devised to search TCGA integrates genetic data from 33 different cancer types. Greene and Way used information from the transcriptome, the grand total of all messenger RNAs expressed within an individual.
They specifically applied their model to the Ras pathway, a family of genes that make proteins that govern cell replication and death. Changes in the normal function of Ras proteins – mutations which are responsible for 30 percent of all cancers – can power cancer cells to grow and spread. These mutations are often referred to as the “undruggable Ras,” having beaten back a variety of investigational inhibitor drugs and vaccine-based therapies.
“This model was trained on genetic data from human tumours in The Cancer Genome Atlas and was able to predict response to certain inhibitors that affect cancers with overactive Ras signalling in an encyclopaedia of cancer cell lines,” Greene said. The upshot is that the transcriptome is underused in bringing precision to oncology, but when combined with machine learning it can aid in identifying potential hidden responders.
The Penn team collaborated with co-author Yolanda Sanchez, PhD, a cancer biologist from the Geisel School of Medicine at Dartmouth College. They are working together to mesh her identification of compounds that target tumors with runaway Ras activity and tumour data (analysed by machine learning) to find patients who could benefit from these potential cancer drugs.
“For precision medicine to benefit individuals in real time, we must develop robust models to efficiently test efficacy of potential therapies,” Sanchez said. “We can use this very powerful combined approach of machine learning-guided drug discovery using Avatars, which are mice carrying identical copies of a patient’s tumors. The Avatars allow our interdisciplinary team to identify the tumours with runaway Ras activity and evaluate and compare multiple therapies in real time.”
Penn Medicinewww.pennmedicine.org/news/news-releases/2018/april/seeking-hidden-responders-machine-learning

Scientists help redefine how cancer is categorized

Van Andel Research Institute (VARI) announced that the work of its scientists is featured in 27 papers focused on the output of The Cancer Genome Atlas (TCGA).
The findings are the result of a global scientific collaboration and mark the culmination of TCGA, a multi-institutional, joint effort between the National Cancer Institute (NCI) and the National Human Genome Research Institute (NHGRI) to develop a comprehensive scientific resource for better categorizing cancer. The more than decade-long initiative is the most in-depth undertaking of its kind, spanning 10,000 tumours across 33 cancer types.
“TCGA’s findings have greatly deepened our molecular understanding of the major cancer types,” said Peter W. Laird, Ph.D., a professor at VARI who led the DNA methylation analysis for TCGA Research Network and who is senior author on two of today’s papers. “It is our hope that these publications will serve as a guide for scientists who plan to harness TCGA’s robust data to develop new, more personalized methods of patient care.”
This research, which represents the project’s capstone, joins dozens of other papers that have been published since TCGA’s inception in 2005. Collectively, they provide a highly detailed description of molecular changes occurring in all major human cancers. The use of this molecular atlas is rapidly expanding, with more than 1,000 publications citing TCGA data in 2017 alone.
TCGA data may be accessed through the National Cancer Institute’s Genomic Data Commons Data Portal (portal.gdc.cancer.gov).
Along with Laird, VARI Assistant Professor Hui Shen, Ph.D., contributed to many of today’s papers, summaries of which may be found below. Shen also is one of six experts who authored retrospectives on TCGA’s legacy, which also were published.
A full list of papers may be found at www.cell.com/consortium/pancanceratlas.
Van Andel Institutewww.vai.org/news-release-4-5-2018/

Genetic link to IBS identified in women

New research coordinated from Karolinska Institutet links certain DNA variants to increased risk of irritable bowel syndrome (IBS) in women. The findings might help explain why IBS is more common in women than in men.
Irritable bowel syndrome is the most common gastrointestinal disorder. More than 10 per cent of the population, women more than men, suffer from recurrent symptoms including abdominal pain, gas, diarrhoea and constipation. What causes IBS is largely unknown, which hampers the development of effective treatment for many patients. Genetic predisposition to IBS is recognised, although poorly investigated.
Now an international research team led by scientists from Karolinska Institutet in Sweden have identified DNA variants that are associated with increased risk of IBS, but only in women.
“Exploiting the large UK Biobank resource, as well as several patient cohorts from European and US expert centres, we have been able to study genetic predisposition to IBS with increased statistical power, better than ever before,” says corresponding author Mauro D’Amato, visiting professor at Karolinska Institutet’s Department of Medicine in Solna and coordinator of the bellygenes initiative that led to the discovery.
The researchers used genotype data from more than 300,000 UK Biobank participants in a genome-wide association study (GWAS). They found DNA variants that associate with increased risk of a doctor’s diagnosis of IBS in women but not in men, specifically from a region on chromosome 9 previously reported to also influence puberty timing in women (age at first menstruation).
By following up this result in 2,045 patients from IBS expert centres in Sweden, Belgium, the Netherlands, Italy and the US, the researchers observed further associations with constipation-predominant IBS as well as harder stools, again only in women.
“Although we cannot point to individual genes at this early stage, we believe these results are exciting, as they converge with existing data on female preponderance and a role of sex-hormones in IBS,” says Mauro D’Amato.
Karolinska Instituteki.se/en/news/genetic-link-to-ibs-identified-in-women

New point-of-care test quickly detects Lyme neuroborreliosis

A new research-based point-of-care test has been developed in Finland for detecting the Lyme neuroborreliosis spread by ticks. The test makes rapid initiation of antibiotic treatment possible for patients with borreliosis, which reduces the post-treatment symptoms related to the disease. At the same time, unnecessary antibiotic treatments can be avoided.
The diagnosis of Lyme neuroborreliosis, a tick-borne infection of the nervous system, relies on infection symptoms, cerebrospinal fluid tests, and detection of the antibody production by the activated immune response.
A Finnish company, Reagena, has developed a new point-of-care test to accompany these methods. The test speeds up the diagnostics and helps to target antibiotic treatment appropriately. The idea for the test was developed by Assistant Professor in Bacteriology, Specialist in Clinical Microbiology Jukka Hytönen from the University of Turku whose research group also validated the test.
The new point-of-care test measures CXCL13 concentration in cerebrospinal fluid, since a high CXCL13 concentration is almost exclusively related to untreated neuroborreliosis. Therefore, the CXCL13 chemokine concentration in the cerebrospinal fluid is a new, important biomarker in the diagnostics of neuroborreliosis. The CXCL13 concentration increases more rapidly in early neuroborreliosis than the antibody concentration in the cerebrospinal fluid, and on the other hand, it declines rapidly after the initiation of antibiotic treatment.
– We have demonstrated that this point-of-care test is extremely efficient. As a result, we suggest that the diagnostic practice for neuroborreliosis in Finland would be reorganised so that the CXCL13 concentration would be measured immediately after the lumbar puncture for cerebrospinal fluid. In the current practice, the concentration results may take up to a week, whereas the new point-of-care test provides quick results, says Hytönen.
With the new test, antibiotic treatment can be targeted to those patients with a high probability of neuroborreliosis. According to Hytönen, it is important to note that a rapidly initiated treatment reduces the post-treatment symptoms related to neuroborreliosis. At the same time, unnecessary treatment initiated just in case can be avoided, which is essential in order to minimise the negative effects related to antibiotics and to prevent the development of antibiotic resistance of bacteria.
Doctors Often Initiate Antibiotic Treatments without Laboratory Results
The clinical pictures of borreliosis vary from local skin infection to infections of the central nervous system, joints or the heart. A typical red rash, the so called erythema migrans lesion, developing and spreading around the tick bite should always be treated with antibiotics without laboratory tests.
– If the rash does not develop or is not diagnosed in the early stages of borreliosis, for example due to its location, the infection may spread to other organs from the skin. Symptoms of the disseminated disease include various neurological symptoms, such as facial nerve paralysis and different types of pain in the limbs and body, notes Hytönen.
The diagnosis of Lyme neuroborreliosis is always clinical-based, meaning it is based on the symptoms experienced by the patient and the doctor’s findings, but laboratory tests are necessary to support the diagnostics. At the moment, the most important laboratory test in the diagnostics of neuroborreliosis is the assay of Borrelia-specific antibodies from the patient’s blood and cerebrospinal fluid.
University of Torkuwww.utu.fi/en/news/news/Pages/New-Point-of-care-Test-Quickly-Detects-Lyme-Neuroborreliosis.aspx

Genetic variants linked to type 2 diabetes identified in Chinese populations

Researchers investigated genomes from diverse Chinese populations to identify new and known genetic variants that contribute to a person’s blood sugar level and risk of Type 2 diabetes. Karen Mohlke at the University of North Carolina at Chapel Hill, Wei Huang at the Chinese National Human Genome Center and Shanghai Industrial Technology Institute, and their colleagues report these findings.
Type 2 diabetes affects more than 422 million people worldwide and at least 30% of these cases occur in East Asian populations. A person’s risk of Type 2 diabetes, as well as the levels of blood sugar, insulin and HbA1c, which gives an average of recent blood sugar levels, are all inherited traits. The genetic variants that contribute to these traits can vary between populations, so researchers conducted genome-wide association analyses to identify these variants in up to 7,178 Chinese individuals from nine provinces who participated in the China Health and Nutrition Survey (CHNS). The study identified new variants and confirmed 32 previously described variants believed to contribute to Type 2 diabetes and blood sugar level, which vary in frequency across the population. The researchers also performed laboratory assays to show that one variant located in a gene regulatory element between the SIX2 and SIX3 genes reduces transcriptional activity and gene expression in pancreatic islets, leading to elevated blood sugar. "We compared variants linked to glucose level in East Asians with variants linked to islet gene expression levels in Europeans,"Dr. Mohlke explained. "This cross-ancestry comparison helped define a molecular mechanism that supports, in humans, a role for the SIX3 and/or SIX2 transcription factors affecting insulin secretion."
A next step in this work will be to investigate further the function of other genetic variants identified in the study to better understand how they contribute to blood sugar levels and risk of Type 2 diabetes. This work also highlights the usefulness of the diverse population within the CHNS for performing genetic studies. As researchers conduct more genome-wide meta-analyses across genetically diverse populations, they will likely identify additional genetic variants that will better explain the levels of heritability of complex traits like diabetes.
EurekAlertwww.eurekalert.org/pub_releases/2018-04/p-gvl032918.php

ELITechGroup and R-Biopharm announce a worldwide agreement

ELITechGroup, a leading company in sample-to-result molecular diagnostics, and R-Biopharm, a globally active life science company, have announced a worldwide agreement to strengthen their positions in molecular infectious disease testing. Under this agreement, R-Biopharm and ELITechGroup will cooperate in the development, production and marketing of Real-Time PCR reagents.
“We are very pleased to have won R-Biopharm as a partner to expand our molecular diagnostics portfolio.” said Christoph Gauer, CEO of ELITechGroup. “This collaboration will contribute to complete the menu of our sample-to-result system ELITe InGenius®. We will increase the overall number of CE-IVD assays from currently 23 to 33 by the end of 2018 making ELITe InGenius® the system with the broadest CE-IVD menu on the market.”
“Collaborating with ELITechGroup will leverage and strengthen the position of R-Biopharm in the field of Molecular Diagnostics, stated Ralf Dreher, CEO of R-Biopharm. As Molecular Diagnostics is one key pillar within the cross divisional strategy in the R-Biopharm Group, we are confident that this partnership will contribute significantly towards the overall success of the company.”
www.elitechgroup.comwww.r-biopharm.de

Beckman Coulter sponsors top-ranked sepsis clinical guide app

Beckman Coulter has announced its exclusive sponsorship of the ESCAVO Sepsis Clinical Guide (Sepsis app), a point-of-care medical reference mobile application for healthcare professionals who manage septic patients in acute-care settings. Beckman Coulter’s sponsorship of the Sepsis app ensures this important tool will remain free for all users and that content will continue to be maintained and updated using the latest clinical practice standards.
Sepsis is a life-threatening condition that requires prompt recognition and treatment. Delayed treatment can rapidly cause cardiovascular collapse, tissue damage, organ failure and death. More than a million people are diagnosed with sepsis each year in the United States alone; the dangerous condition causes 250,000 deaths. Approximately 665,000 adults and 100,000 children visit the emergency department with sepsis-related symptoms. Patients presenting with sepsis can be in grave danger when encountering long emergency room wait times or a lack of effective or timely screening and triage protocols.
“While great strides have been made in standardizing sepsis treatment in recent years, there is still considerable variability in the quality of care among hospitals,” says Daniel Nichita, M.D., founder of ESCAVO and author of the Sepsis Clinical Guide mobile app. “One reason for this is the difficulty of diagnosing this complex disorder whose early symptoms are often very subtle and for which there is no definitive test, but also an uneven use of current clinical practice standards in sepsis care. ESCAVO developed the Sepsis app to put critical information on sepsis management—based on the most current clinical practice guidelines—in the hands of busy clinicians, who may not always have the time to familiarize themselves with current trends. Its content is delivered in a concise, actionable format to allow rapid but effective clinical decision-making at the point of care.”
The Sepsis app can benefit all medical professionals; however, it is especially valuable for those working in the emergency room, where sepsis most commonly first presents.
Healthcare providers can download the Sepsis Clinical Guide app from Google Play for Android devices, or from the App Store for the iOS platform. To find the app, users can search “sepsis.” The Sepsis Clinical Guide is recognizable by an orange-colored icon, and, as the top-ranked sepsis-related app, it appears first in the search results.  
https://tinyurl.com/njp3cswhttps://tinyurl.com/y9exh7kx