Region of brain responsible for nicotine withdrawal symptoms

Headaches, anxiety, irritability—these and other symptoms of nicotine withdrawal can significantly deter smokers from being able to kick the habit. Now, in what may be a significant step toward alleviating those symptoms, UMass Medical School neuroscientist Andrew R. Tapper, PhD, and colleagues have identified the region of the brain in which they originate.
‘We were surprised to find that one population of neurons within a single brain region could actually control physical nicotine withdrawal behaviours,’ said Dr. Tapper, associate professor of psychiatry and interim director of the Brudnick Neuropsychiatric Research Institute at UMMS.
The Tapper lab discovered that physical nicotine withdrawal symptoms are triggered by activation of GABAergic neurons (neurons that secrete GABA, the brain’s predominant inhibitory neurotransmitter), in the interpeduncular nucleus, an area deep in the midbrain that has recently been shown to be involved in nicotine intake.
‘Most of the work in the field has been focused on the immediate effects of nicotine, the addictive component in tobacco smoke, on reward circuits in the brain,’ Tapper explained. ‘But much less is known regarding what happens when you take nicotine away from someone who has been smoking for a long time that causes all these terrible withdrawal symptoms. Our main goal was to understand what brain regions are activated—or deactivated—to cause nicotine withdrawal symptoms.
They did this through a series of experiments performed in mouse models with sophisticated neurochemistry and brain imaging methods, including recently developed optogenetics techniques in which specific neurons can be activated by light.
Most surprising was their discovery that nicotine withdrawal symptoms can be activated or deactivated independent of nicotine addiction. ‘When we activated the GABAergic neurons in the interpeduncular nucleus, mice suffered withdrawal symptoms even if they had no previous nicotine exposure,’ Tapper noted.
These findings are promising because existing treatments intended to help people quit smoking are not always effective. ‘There are very few treatments to help people quit smoking,’ Tapper said. ‘If you can dampen the activity of this brain region chemically during nicotine withdrawal then you would hopefully be able to help someone quit smoking because you could reduce some of the withdrawal symptoms that they are experiencing.’ University of Massachusetts

Genomic marker better informs treatment choices for CRPC

The CYP1B1*3 genotype is a potential marker for poor prognosis for men with castration resistant prostate cancer who received docetaxel-based therapy. Men carrying the homozygous CYP1B1*3 genotype (o) had reduced survival times compared to patients carrying at least one copy of the unmutated form of the gene (*).

Docetaxel remains the frontline standard of care for castration-resistant prostate cancer (CRPC), which grows without stimulation from male hormones. However, patient responses to this drug are highly variable. Researchers at CCR can now search a patient’s genome for a specific genomic variant (called a polymorphism) that predicts lesser responses to docetaxel among CRPC patients.
Led by William Douglas Figg, Sr., Pharm.D., a Senior Investigator in CCR’s Medical Oncology Branch, and Staff Scientist, Tristan Sissung, Ph.D., from the Pharmacogenetics Core of the Clinical Pharmacology Program, the clinical team studied a commonly inherited polymorphism in the cytochrome P450 1B1 (CYP1B1) gene. Specifically, the 432ValVal polymorphism in CYP1B 9 (called the CYP1B1*3 polymorphism) was shown to reduce a patient’s survival following docetaxel treatment by more than half—from 30.6 to 12.8 months in combination trials, and from 15.3 to 7.5 months in trials that compared docetaxel alone to prednisone alone. Figg and colleagues conclude that testing for CYP1B1*3 should guide docetaxel treatment decisions in patients with CRPC, because it could spare many from taking a drug unlikely to help them. Similarly, CYP1B1*3 testing could inform treatment decisions involving docetaxel and other therapies in breast, ovarian, and non-small cell lung cancers.
While examining the mechanism of action for docetaxel, which inhibits microtubule disassembly, Figg and his team noted that this drug was being metabolized similarly by cells whether or not they carried the CYP1B1*3 variant, based upon clearance data, which was the same for the differing genotypes. They wanted to know what was occurring at the biochemical level. They knew that the CYP1B1 enzyme metabolizes endogenous steroids, including estrogen, so they looked at how estrogen metabolites interact with tubulin, which makes up microtubules. They found that the estrogen metabolite estradiol-3,4 quinone interferes with docetaxel’s ability to promote tubulin formation and binds directly with docetaxel, creating a drug-estrogen adduct.
Based on these findings, Figg and colleagues proposed that CYP1B1*3 interferes with docetaxel therapy by boosting the production of a metabolite that displaces docetaxel from its target and by creating adducts with more limited potency than the drug itself. ‘Patients who harbor the variant make more estradiol-3,4 quinone, which may work against docetaxel efficacy, while patients who have the wild-type gene make less of it and respond better to the drug, ‘ explains Sissung.
The frequency varies among racial and ethnic groups worldwide, with approximately 20 percent of the Caucasian population harboring the CYP1B1*3 variant. ‘We want to limit the number of people who receive docetaxel without experiencing benefits from the treatment,’ said Figg.
Figg has now patented the use of CYP1B1*3 genotyping in blood samples to mark patients unlikely to benefit from docetaxel treatment in CRPC. ‘We think this genetic marker has value, and we are willing to work with other groups to validate the findings prospectively,’ he said. ‘The goal is to make sure this test reaches the market so it can be used to improve treatment planning.’ Center for Cancer Research

Study identifies genes uniquely expressed by the brain’s immune cells

Massachusetts General Hospital (MGH) investigators have used a new sequencing method to identify a group of genes used by the brain’s immune cells – called microglia – to sense pathogenic organisms, toxins or damaged cells that require their response. Identifying these genes should lead to better understanding of the role of microglia both in normal brains and in neurodegenerative disorders and may lead to new ways to protect against the damage caused by conditions like Alzheimer’s and Parkinson’s diseases. The study also finds that the activity of microglia appears to become more protective with ageing, as opposed to increasingly toxic, which some previous studies had suggested.
‘We’ve been able to define, for the first time, a set of genes microglia use to sense their environment, which we are calling the microglial sensome,’ says Joseph El Khoury, MD, of the MGH Center for Immunology and Inflammatory Diseases and Division of Infectious Diseases, senior author of the study. ‘Identifying these genes will allow us to specifically target them in diseases of the central nervous system by developing ways to upregulate or downregulate their expression.’
A type of macrophage, microglia are known to constantly survey their environment in order to sense the presence of infection, inflammation, and injured or dying cells. Depending on the situation they encounter, microglia may react in a protective manner – engulfing pathogenic organisms, toxins or damaged cells – or release toxic substances that directly destroy microbes or infected brain cells. Since this neurotoxic response can also damage healthy cells, keeping it under control is essential, and excess neurotoxicity is known to contribute to the damage caused by several neurodegenerative disorders.
El Khoury’s team set out to define the transcriptome – the complete set of RNA molecules transcribed by a cell – of the microglia of healthy, adult mice and compared that expression profile to those of macrophages from peripheral tissues of the same animals and of whole brain tissue. Using a technique called direct RNA sequencing, which is more accurate than previous methods, they identified a set of genes uniquely expressed in the microglia and measured their expression levels, the first time such a gene expression ‘snapshot’ has been produced for any mammalian brain cell, the authors note.
Since ageing is known to alter gene expression throughout the brain, the researchers then compared the sensome of young adult mice to that of aged mice. They found that – contrary to what previous studies had suggested – the expression of genes involved in potentially neurotoxic actions, such as destroying neurons, was down-regulated as animals aged, while the expression of neuroprotective genes involved in sensing and removing pathogens was increased. El Khoury notes that the earlier studies suggesting increased neurotoxicity with ageing did not look at the cells’ full expression profile and often were done in cultured cells, not in living animals.
‘Establishing the sensome of microglia allows us to clearly understand how they interact with and respond to their environment under normal conditions,’ he explains. ‘The next step is to see what happens under pathologic conditions. We know that microglia become more neurotoxic as Alzheimer’s disease and other neurodegenerative disorders progress, and recent studies have identified two of the microglial sensome genes as contributing to Alzheimer’s risk. Our next steps should be defining the sensome of microglia and other brain cells in humans, identifying how the sensome changes in central nervous system disorders, and eventually finding ways to safely manipulate the sensome pharmacologically.’ Massachusetts General Hospital

Epigenetic changes may explain chronic kidney disease

The research of physician-scientist Katalin Susztak, MD, PhD, associate professor of Medicine in the Renal Electrolyte and Hypertension Division, at the Perelman School of Medicine, University of Pennsylvania, strives to understand the molecular roots and genetic predisposition of chronic kidney disease. In a recent Genome Biology paper, Susztak, and her co-corresponding author John Greally from the Albert Einstein College of Medicine, Bronx, NY, found, in a genome-wide survey, significant differences in the pattern of chemical modifications on DNA that affect gene expression in kidney cells from patients with chronic kidney disease versus healthy controls. This is the first study to show that changes in these modifications – the cornerstone of the field of epigenetics – might explain chronic kidney disease.
Epigenetics is the science of how gene activity can be altered without actual changes in the DNA sequence. DNA can be modified by different chemical groups. In the case of this study, these are methyl groups that, like using sticky notes as reminders, open or close up regions of the genome to make these areas more or less available to be ‘read’ as a gene.

Chronic kidney disease is a condition in which the kidneys are damaged and cannot adequately filter blood. This damage can cause wastes to build up, which leads to other health problems, including cardiovascular disease, anaemia, and bone disease. More than 10% of people, or more than 20 million, aged 20 years or older in the United States have chronic kidney disease, according to the Centers for Disease Control.
Past epidemiological studies have shown that adverse intrauterine and postnatal conditions have a long-lasting, over-a-lifetime role in the development of chronic kidney disease. Adverse intrauterine factors include small size of babies for gestational age due to a lack of nutrients, or conversely, a large size for gestational age, for example if mom had pregnancy-related diabetes.
Studies from the Diabetes Control and Complications trial also indicate that patients with diabetes who had poor diabetes control 25 years earlier still have an increased risk of kidney disease despite having a decade of excellent glucose control. ‘This is called the metabolic memory effect,’ says Susztak. ‘Kidney cells remember the past bad metabolic environment.’
Susztak’s lab used human kidney cells that looked almost the same under a microscope, but the way each cell type is affected by the methyl groups was very different. In general, an increase in the number of methyl groups on a gene turns off expression, and a decrease of methyl groups turns on a gene’s expression.
Specifically, they found that the differences in the methyl groups were not on promoter regions in the diseased kidney cells, but mostly on enhancer regions, and were also near sequences for important kidney transcription factors. ‘This all speaks to the importance of these regions in regulating gene expression,’ says Susztak.

Promoter regions are in front of genes and near the gene they influence. Enhancer regions are farther away from the gene of influence. This difference indicates that the two cell types would likely respond differently to stress.
‘The difference in methylation related to kidney fibrosis — genes encoding collagen and growth factors — at core kidney development sites in the genome raises the possibility that these differences are established early on in a person’s development because the genes Pax2 and Pax8 are active in the developing kidney in the fetus,’ explains Susztak.
‘Most of the research on kidney epigenetics so far has been on promoter regions on kidney cancer cells,’ says Susztak. ‘The difference we found in dysregulation between the two cell populations may indicate that dysregulation in cancer is different from dysregulation in chronic kidney disease. Five years ago there was no epigenetic information outside of cancer,’ says Susztak.

Overall, the findings raise the possibility that dysregulation of epigenetic marks plays a role in chronic kidney disease by affecting pathways that lead to more fibrosis. Identifying the genes and proteins associated with this system gone awry may help identify new biomarkers and targets for new drugs. Perelman School of Medicine

Powerful tool for genetic engineering

Viruses cannot only cause illnesses in humans, they also infect bacteria. Those protect themselves with a kind of ‘immune system’ which – simply put – consists of specific sequences in the genetic material of the bacteria and a suitable enzyme. It detects foreign DNA, which may originate from a virus, cuts it up and thus makes the invaders harmless. Scientists from the Helmholtz Centre for Infection Research (HZI) in Braunschweig have now shown that the dual-RNA guided enzyme Cas9 which is involved in the process has developed independently in various strains of bacteria. This enhances the potential of exploiting the bacterial immune system for genome engineering.
Even though it has only been discovered in recent years the immune system with the cryptic name ‘CRISPR-Cas’ has been attracting attention of geneticists and biotechnologists as it is a promising tool for genetic engineering. CRISPR is short for Clustered Regularly Interspaced Palindromic Repeats, whereas Cas simply stands for the CRISPR-associated protein. Throughout evolution, this molecule has developed independently in numerous strains of bacteria. This is now shown by Prof Emmanuelle Charpentier and her colleagues at the Helmholtz Centre for Infection Research (HZI) who published their finding in the international open access journal Nucleic Acids Research.

The CRISPR-Cas-system is not only valuable for bacteria but also for working in the laboratory. It detects a specific sequence of letters in the genetic code and cuts the DNA at this point. Thus, scientists can either remove or add genes at the interface. By this, for instance, plants can be cultivated which are resistant against vermins or fungi. Existing technologies doing the same thing are often expensive, time consuming or less accurate. In contrast to them the new method is faster, more precise and cheaper, as fewer components are needed and it can target longer gene sequences.

Additionally, this makes the system more flexible, as small changes allow the technology to adapt to different applications. ‘The CRISPR-Cas-system is a very powerful tool for genetic engineering,’ says Emmanuelle Charpentier, who came to the HZI from Umeå and was awarded with the renowned Humboldt Professorship in 2013. ‘We have analysed and compared the enzyme Cas9 and the dual-tracrRNAs-crRNAs that guide this enzyme site-specifically to the DNA in various strains of bacteria.’ Their findings allow them to classify the Cas9 proteins originating from different bacteria into groups. Within those the CRISPR-Cas systems are exchangeable which is not possible between different groups.

This allows for new ways of using the technology in the laboratory: The enzymes can be combined and thereby a variety of changes in the target-DNA can be made at once. Thus, a new therapy for genetic disorders caused by different mutations in the DNA of the patient could be on the horizon. Furthermore, the method could be used to fight the AIDS virus HIV which uses a receptor of the human immune cells to infect them. Using CRISPR-Cas, the gene for the receptor could be removed and the patients could become immune to the virus. However, it is still a long way until this aim will be reached.

Still those examples show the huge potential of the CRISPR-Cas technology. ‘Some of my colleagues already compare it to the PCR,’ says Charpentier. This method, developed in the 1980s, allows scientists to ‘copy’ nucleic acids and therefore to manifold small amounts of DNA to such an extent that they can be analysed biochemically. Without this ground-breaking technology a lot of experiments we consider to be routine would have never been possible. Helmholtz Ceentre for Infection Research

Different gene expression in male and female brains helps explain differences in brain disorders

UCL scientists have shown that there are widespread differences in how genes, the basic building blocks of the human body, are expressed in men and women’s brains.
Based on post-mortem adult human brain and spinal cord samples from over 100 individuals, scientists at the UCL Institute of Neurology were able to study the expression of every gene in 12 brain regions.
They found that the way that the genes are expressed in the brains of men and women were different in all major brain regions and these differences involved 2.5% of all the genes expressed in the brain.
Among the many results, the researchers specifically looked at the gene NRXN3, which has been implicated in autism. The gene is transcribed into two major forms and the study results show that although one form is expressed similarly in both men and women, the other is produced at lower levels in women in the area of the brain called the thalamus. This observation could be important in understanding the higher incidence of autism in males.
Our study provides the most complete information so far on how the sexes differ in terms of how their genes are expressed in the brain.
Overall, the study suggests that there is a sex-bias in the way that genes are expressed and regulated, leading to different functionality and differences in susceptibility to brain diseases observed by neurologists and psychiatrists.

Dr. Mina Ryten, UCL Institute of Neurology and senior author of the paper, said: ‘There is strong evidence to show that men and women differ in terms of their susceptibility to neurological diseases, but up until now the basis of that difference has been unclear.

‘Our study provides the most complete information so far on how the sexes differ in terms of how their genes are expressed in the brain. We have released our data so that others can assess how any gene they are interested in is expressed differently between men and women.’ UCL

Researchers’ new technique improves accuracy, ease of cancer diagnosis

A team of researchers from UCLA and Harvard University have demonstrated a technique that, by measuring the physical properties of individual cells in body fluids, can diagnose cancer with a high degree of accuracy.
The technique, which uses a deformability cytometer to analyse individual cells, could reduce the need for more cumbersome diagnostic procedures and the associated costs, while improving accuracy over current methods. The initial clinical study analysed pleural fluid samples from more than 100 patients.
Pleural fluid, a natural lubricant of the lungs as they expand and contract during breathing, is normally present in spaces surrounding the lungs. Medical conditions such as pneumonia, congestive heart failure and cancer can cause an abnormally large buildup of the fluid, which is called a pleural effusion.
When cytopathologists screen for cancer in pleural effusions, they perform a visual analysis of prepared cells extracted from the fluid. Preparing cells for this analysis can involve complicated and time-consuming dyeing or molecular labelling, and the tests often do not definitively determine the presence of tumour cells. As a result, additional costly tests often are required.
The method in the UCLA–Harvard study, developed previously by the UCLA researchers, requires little sample preparation, relying instead on the imaging of cells as they flow through in microscale fluid conduits.
Imagine squeezing two balloons, one filled with water and one filled with honey. The balloons would feel different and would deform differently in your grip. The researchers used this principle on the cellular level by using a fluid grip to ‘squeeze’ individual cells that are 10,000 times smaller than balloons—a technique called ‘deformability cytometry.’ The amount of a cell’s compression can provide insights about the cell’s makeup or structure, such as the elasticity of its membrane or the resistance to flow of the DNA or proteins inside it. Cancer cells have a different architecture and are softer than healthy cells and, as a result, ‘deform’ differently.
Using deformability cytometry, researchers can analyse more than 1,000 cells per second as they are suspended in a flowing fluid, providing significantly more detail on the variations within each patient’s sample than could be detected using previous physical analysis techniques.
The researchers also noted that the more detailed information they obtained improved the sensitivity of the test: Some patient samples that were not identified as cancerous via traditional methods were found to be so through deformability cytometry. These results were verified six months later.

‘Building off of these results, we are starting studies with many more patients to determine if this could be a cost-effective diagnostic tool and provide even more detailed information about cancer origin,’ said Dino Di Carlo, associate professor of bioengineering at the UCLA Henry Samueli School of Engineering and Applied Science and a co-principal investigator on the research. ‘It could help to reduce laboratory workload and accelerate diagnosis, as well as offer doctors a new way to improve clinical decision-making.’ University of California – Los Angeles

Breaking the Code

By linking antibodies to certain diseases, researchers at UC Santa Barbara have found a way to uncover and confirm environmental triggers
By cross referencing the amino acid sequence of peptides strongly associated with illnesses with a library of known peptides, researchers may be able to map antigens with identical sequences to their environment, thus uncovering and confirming environmental triggers for diseases such as Type-1 diabetes, schizophrenia, and autism.
You may be sensitive to gluten, but you’re not sure. Perhaps you can’t put your finger on a recurring malaise, and your doctor is at a loss to figure it out. A diagnostic method recently developed by UC Santa Barbara professor Patrick Daugherty can reveal — on a molecular level — the factors behind conditions thought to have environmental triggers. By decoding an individual’s immune system, this elegant and accurate method can demystify, diagnose and provide further insight into conditions like celiac disease, multiple sclerosis, pre-eclampsia and schizophrenia.

‘We have two goals,’ said Daugherty, a researcher with the Department of Chemical Engineering at UCSB and the campus’s Center for BioEngineering. ‘We want to identify diagnostic tests for diseases where there are no blood diagnostics … and we want to figure out what might have given rise to these diseases.’

The process works by mining an individual’s immunological memory — a veritable catalogue of the pathogens and antigens encountered by his or her immune system.

‘Every time you encounter a pathogen, you mount an immune response,’ said Daugherty. The response comes in the form of antibodies that are specific to the antigens — molecular, microbial, chemical — your body is resisting, and the formation of ‘memory cells’ that are activated by subsequent encounters with the antigen. Responses can vary, from minor reactions — a cough, or a sneeze — to serious autoimmune diseases in which the body turns against its own tissues and its immune system responds by destroying them, such as in the case of Type 1 diabetes and celiac disease.

‘The trick is to determine which antibodies are linked to specific diseases,’ said Daugherty. Celiac disease sufferers, for example, will have certain antibodies in their blood that bind to specific peptides — short chains of amino acids — present in wheat, barley and rye. These peptides are the gluten that is the root of allergies and sensitivities in some people. Like a lock and key, these antibodies — the locks — bind only to certain sequences of amino acids that comprise the peptides — the keys.

‘People with celiac disease have two particular antibody types in their blood, which have proved to be enormously useful for diagnosis,’ said Daugherty.

However, sheer variety and number of antibodies present in a person’s blood at any given time has been a challenge for researchers trying to link specific illnesses with specific antibody molecules. One antigen can stimulate the production of many antibodies in response. What’s more, each individual’s antibodies to even the same antigen differ slightly in their form. The idea of using molecular separation to find the disease antibodies has been around for over 20 years, said Daugherty, but no one had figured quite how to sift through the vast amount of molecules.

To sort through perhaps tens of thousands of antibody molecules present in a person’s blood, the research team — including John T. Ballew from UCSB’s Biomolecular Science and Engineering graduate program, now a postdoctoral associate with the Koch Institute for Integrative Cancer Research at MIT — mixed a sample of a subject’s blood, which contains the antibody molecules, with a vast number of different peptides (about 10 billion).

‘All the keys associate with their preferred lock,’ said Daugherty. ‘The peptides that can bind to an antibody, do so.’ The researchers then pull out the disease-bound pairs, in a process that progressively decreases the number of antibodies-peptide pairs that are most unique to a particular disease. Repeated with subsequent patients who may have the same symptoms, phenotypes or genetic dispositions, continues to whittle down the size of the peptide pool. Further in vitro evolution of the best draft peptides can identify the particular sequence of amino acid keys that fit into the antibody locks. This sequence can be used to confirm the antibodies in question as the biomarkers specifically associated with the disease.

‘The diagnostic performance of the reagents generated with this approach is excellent,’ said Daugherty. ‘We can discover biomarkers with as little as a drop of blood, and the peptides discovered can be adapted into preferred low cost testing platforms widely used in clinical practice.’

The amino acid sequence of the evolved peptides, when cross-referenced with a database of known proteins, can identify the antigens (that contain the same peptide sequence). This, in turn, can then yield clues into what factors in the patient’s environment may have contributed to the disease. The process may be used to gain insight on diseases that are thought to have environmental triggers, including Type-1 diabetes, autism, schizophrenia/bipolar disorder, Crohn’s disease, Parkinson’s disease, and perhaps even Alzheimers disease. In cases, such as Graves’ disease, where an antibody is identified as the cause (as opposed to simply an indicator) knowing the antibody’s structure can lead to more effective therapies.

‘If you can get rid of the antibody, you can treat the disease,’ said Daugherty. ‘By finding these keys, you can block the antibody.’ University of California – Santa Barbara

Are you carrying adrenal Cushing’s syndrome without knowing it?

In light of new research, Dr André Lacroix suggests genetic screening to find ‘silent carriers’.
Genetic research suggests to Dr. André Lacroix, professor at the University of Montreal, that clinicians’ understanding and treatment of a form of Cushing’s syndrome affecting both adrenal glands will be fundamentally changed, and that moreover, it might be appropriate to begin screening for the genetic mutations that cause this form of the disease. ‘Screening family members of bilateral adrenal Cushing’s syndrome patients with genetic mutations may identify affected silent carriers,’ Lacroix said ‘The development of drugs that interrupt the defective genetic chemical link that causes the syndrome could, if confirmed to be effective in people, provide individualised specific therapies for hypercortisolism, eliminate the current practice of removing both adrenal glands, and possibly prevent disease progression in genetically affected family members.’ Adrenal glands sit above the kidneys are mainly responsible for releasing cortisol, a stress hormone. Hypercortiolism means a high level of the adrenal hormone cortisol, which causes many symptoms including weight gain, high blood pressure, diabetes, osteoporosis, concentration deficit and increased cardiovascular deaths.

Cushing’s syndrome can be caused by corticosteroid use (such as for asthma or arthritis), a tumour on the adrenal glands, or a pituitary gland that releases too much ACTH. The pituitary gland sits under the brain and releases various hormones that regulate our bodies’ mechanisms.

Jérôme Bertherat is a researcher at Cochin Hospital in Paris. In the study he showed that 55% of Cushing’s Syndrome patients with bilaterally very enlarged adrenal glands have mutations in a gene that predisposes to the development of adrenal tumours. This means that bilateral adrenal Cushing’s is much more hereditary than previously thought. The new knowledge will also enable clinicians to undertake genetic screening. Hervé Lefebvre is a researcher at the University Hospital in Rouen, France. His research shows that the adrenal glands from the same type of patients with two large adrenal glands can produce ACTH, which is normally produced by the pituitary gland. Hormone receptors are the chemical link that cause a cell to behave differently when a hormone is present. Several misplaced hormone receptors cause the ACTH to be produced in the enlarged benign adrenal tissue. Knowing this means that researchers might be able to develop drugs that interrupt the receptors for these hormones and possibly even prevent the benign tissue from developing in the first place. Université de Montréal.

BioFire Diagnostics outsources maintenance to UK firm

Hugo Technology, the medical technology repair and service specialist, has been appointed to support BioFire’s FilmArray System – a multi-purpose device which identifies numerous respiratory viruses and bacteria, eg: adenovirus, influenza and bordetella pertussis– a bacterium that is a cause of whooping cough.  Hugo has an ongoing contract with BioFire based in Salt Lake City, Utah, which is known for developing, manufacturing and selling the fastest, highest-quality machines in the world for DNA analysis.
Hugo will take responsibility for repairing and maintaining the equipment which will be sent to its new £700,000 (€815,000) Bromsgrove facility. This facility was designed specifically to match the needs of Hugo’s growing client base of leading original equipment manufacturers (OEMs).  Biomedical service engineers for Hugo Technology have spent two weeks in Salt Lake City being trained on the Film Array System which integrates sample preparation, amplification, detection and analysis into one process to detect emerging infectious diseases in just one hour.  The user-friendly FilmArray System is used in hospital-based, clinical laboratories across the USA and Europe.  
Hugo employs more than 50 people across the UK servicing medical devices and equipment for OEMs both at home and across Europe.  Accredited to ISO 13485 medical device quality management standard and ISO 9001:2008, Hugo’s facility and field engineer teams provide support to some of the world’s largest OEMs including: Philips, Nipro, Moog, Nutricia, Therapy Equipment, Cosmed, Nikkiso, Care Innovations-GE and Teleflex.

www.FilmArray.com