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

New insights into breast cancer spread could yield better tests and treatments

A study combining tumour cells from patients with breast cancer with a laboratory model of blood vessel lining provides the most compelling evidence so far that a specific trio of cells is required for the spread of breast cancer. The findings could lead to better tests for predicting whether a woman’s breast cancer will spread and to new anti-cancer therapies. The study was led by researchers at the NCI-designated Albert Einstein Cancer Center and Montefiore Einstein Center for Cancer Care (MECCC).

Maja Oktay, M.D., Ph.D.According to the National Cancer Institute, more than 232,000 American women developed breast cancer last year and nearly 40,000 women died from the disease. It is the most common cancer among women in the United States. Most breast cancer deaths occur because the cancer has spread, or metastasized, which means that cells in the primary tumour have invaded blood vessels and travelled via the bloodstream to form tumours elsewhere in the body.

In earlier studies involving animal models and human cancer cell lines, researchers found that breast cancer spreads when three specific cells are in direct contact: an endothelial cell (a type of cell that lines the blood vessels), a perivascular macrophage (a type of immune cell found near blood vessels), and a tumour cell that produces high levels of Mena, a protein that enhances a cancer cell’s ability to spread. Where these three cells come in contact is where tumour cells can enter blood vessels—a site called a tumour microenvironment of metastasis, or TMEM. Tumours with high numbers of TMEM sites (i.e., they have a high TMEM ‘score’) were more likely to metastasize than were tumours with lower TMEM scores. In addition, the researchers found that cancer tissues high in a form of Mena called MenaINV were especially likely to metastasize. (MenaINV refers to the invasive form of Mena.)

‘Those studies revealed new insights into how cancer might spread, but they didn’t necessarily show what is happening in patients,’ said study leader Maja Oktay, M.D., Ph.D., associate professor of pathology at Albert Einstein College of Medicine of Yeshiva University and attending cytopathologist at Montefiore.

Since then, the scientists have extended their research to include patients with breast cancer. In 2011, they published findings on 40 patients showing a correlation between high MenaINV levels and high TMEM scores. The present study combines results from those 40 patients plus an additional 60 patients. All 100 patients had been diagnosed with invasive ductal carcinoma and were being treated at MECCC. Invasive ductal carcinoma is the most common type of invasive breast cancer, accounting for 80 percent of cases. In this disease, the cancer has grown through the duct walls and into the surrounding breast tissue.
For the subset of more recent patients, the researchers assessed tumour cell behaviour—in particular, cancer cells’ ability to cross the endothelium (inner layer) of blood vessels. They obtained tumour cells using fine needle aspiration and placed them in a novel engineered tissue assay designed to replicate the endothelium of a blood vessel—the barrier that cells must cross so they can spread from a primary tumour to distant sites. Biopsied tumour tissue from all 60 new patients was fixed in formalin and embedded in paraffin so that TMEM sites in the tissue could be counted.
‘It’s critically important to learn more about the metastatic process so we can develop new ways to predict whether cancer will spread and identify new treatments.’

Breast cancer cells able to cross the endothelial layer in this assay were found to have higher MenaINV levels compared with the total population of patients’ aspirated cells. In addition, finding high levels of MenaINV correlated with finding high numbers of TMEM sites in paraffin biopsy specimens from the same patients. The TMEM ‘score’ for each biopsy specimen was calculated by counting the total number of TMEM sites observed within ten 400x magnification fields. Combining the results from all 100 patients showed that the findings were consistent across the three most common clinical subtypes of invasive ductal carcinoma.

‘These results confirm that TMEM sites and MenaINV are essential for the spread of breast cancer in humans,’ said Dr. Oktay. ‘They also imply that MenaINV expression and TMEM score measure related aspects of a commonly used mechanism that human breast cancers use to metastasize.’

Dr. Oktay noted that ‘the outcome for patients with metastatic breast cancer hasn’t improved in the past 30 years despite the development of targeted therapies. It’s critically important to learn more about the metastatic process so we can develop new ways to predict whether cancer will spread and identify new treatments.’ Albert Einstein College of Medicine

Researchers identify gene mutations and process for how kidney tumours develop

Using next generation gene sequencing techniques, cancer researchers at UT Southwestern Medical Center have identified more than 3,000 new mutations involved in certain kidney cancers, findings that help explain the diversity of cancer behaviours.

 “These studies, which were performed in collaboration with Genentech Inc., identify novel therapeutic targets and suggest that predisposition to kidney cancer across species may be explained, at least in part, by the location of tumour suppressor genes with respect to one another in the genome,” said Dr. James Brugarolas, Associate Professor of Internal Medicine and Developmental Biology, who leads UT Southwestern’s Kidney Cancer Program at the Harold C. Simmons Cancer Center.

More than 250,000 individuals worldwide are diagnosed with kidney cancer every year, with lifetime risk of kidney cancer in the US estimated at 1.6 percent. Most kidney tumours are renal cell carcinomas, which when metastatic remain largely incurable.

Researchers with UT Southwestern’s Kidney Cancer Program had previously identified a critical gene called BAP1 that is intimately tied to kidney cancer formation. Their latest research shows how BAP1 interacts with a second gene, VHL, to transform a normal kidney cell into a cancer cell, which in part appears to be based on the two gene’s close proximity in humans, said Dr. Brugarolas, a Virginia Murchison Linthicum Endowed Scholar in Medical Research.

The newest findings suggest that the transformation begins with a mutation in one of the two copies of VHL, which is the most frequently mutated gene in the most common form of kidney cancer, clear cell type, which accounts for about 75 percent of kidney cancers. The VHL mutation is followed by a loss of the corresponding chromosome arm containing the second copy of VHL, as well as several other genes including PBRM1 and BAP1. This step eliminates the remaining copy of VHL and along with it, one of the two copies of PBRM1 and BAP1, two important genes that protect the kidney from cancer development. The subsequent mutation of the remaining copy of BAP1 leads to aggressive tumours, whereas mutation of the remaining copy of PBRM1 induces less aggressive tumours, said Dr. Payal Kapur, a key investigator of both studies who is an Associate Professor of Pathology and Urology, and the Pathology co-Leader of the Kidney Cancer Program.

This model also explains why humans born with a mutation in VHL have a high likelihood of developing kidney cancer during their life time. In these individuals, all kidney cells are already deficient for one VHL copy and a single deletion eliminates the second copy, along with a copy of BAP1 and PBRM1. In contrast, in other animals, these three genes are located on different chromosomes and thus more mutational events are required for their inactivation than in humans. Consistent with this notion, when UT Southwestern researchers mutated VHL and BAP1 together, kidney cancer resulted in animals.

In a second collaborative study with Genentech Inc., published in Nature Genetics, investigators implicated several genes for the first time in non-clear cell kidney cancer, a less common type that accounts for about 25 percent of kidney cancers. Researchers identified a gene signature that can help differentiate subtypes of non-clear cell tumours to better define their behaviour. Specifically, the researchers characterized alterations from 167 human primary non-clear cell renal cell carcinomas, identifying 16  significantly mutated genes in non-clear cell kidney cancer that may pave the way for the development of novel therapies. The research team also identified a five-gene set that enabled molecular classifications of tumour subtypes, along with a potential therapeutic role for BIRC7 inhibitors for future study.     UT Southwestern Medical Center

Scientists link gene to tamoxifen-resistant breast cancers

After mining the genetic records of thousands of breast cancer patients, researchers from the Johns Hopkins Kimmel Cancer Center have identified a gene whose presence may explain why some breast cancers are resistant to tamoxifen, a widely used hormone treatment generally used after surgery, radiation and other chemotherapy.

The gene, called MACROD2, might also be useful in screening for some aggressive forms of breast cancers, and, someday, offering a new target for therapy, says Ben Ho Park, M.D., Ph.D., an associate professor of oncology in the Kimmel Cancer Center’s Breast Cancer Program and a member of the research team.

The drug tamoxifen is used to treat oestrogen receptor-positive breast cancers. Cells in this type of breast cancer produce protein receptors in their nuclei which bind to and grow in response to the hormone oestrogen. Tamoxifen generally blocks the binding process of the oestrogen-receptor, but some oestrogen receptor-positive cancers are resistant or become resistant to tamoxifen therapy, finding ways to elude its effects. MACROD2 appears to code for a biological path to tamoxifen resistance by diverting the drug from its customary blocking process to a different way of latching onto breast cancer cell receptors, causing cancer cell growth rather than suppression, according to a report by Park and his colleagues.

Specifically, the team’s experiments found that when the gene is overexpressed in breast cancer cells–producing more of its protein product than normal–the cells become resistant to tamoxifen.

One piece of evidence for the gene’s impact was demonstrated when the Johns Hopkins scientists blocked MACROD2’s impact in breast cancer cell cultures by using an RNA molecule that binds to the gene to ‘silence,’ or turn off, the gene’s expression. But the technique only partially restored the cells’ sensitivity to tamoxifen.

To conduct the study, the scientists examined two well-known databases of breast cancer patients’ genetic information, The Cancer Genome Atlas and the Molecular Taxonomy of Breast Cancer International Consortium study. Patients who had MACROD2 overexpressed in primary breast cancers at the original breast cancer site had significantly worse survival rates than those who did not, according to an analysis of the patient databases.

With this in mind, the Johns Hopkins scientists suggest that clinicians may be able to look at MACROD2 activity to help them identify aggressive breast cancers at early stages of growth.

The team’s analysis also found that MACROD2 overexpression was present in the majority of metastases in patients with tamoxifen-resistant tumours and in tumour cells that had spread from their original site in the breast. The latter finding, says Park, suggests that tamoxifen resistance caused by the gene might be a process that develops over time as women take the drug.

Finding a small group of a patient’s cancer cells that overexpress MACROD2, he explained, means those cells are likely to be the ‘survivors’ of early treatment with tamoxifen that go on to multiply and cause metastatic tumours. ‘The resultant cells–or the vast majority of them–are now all overexpressing MACROD2, and are the cells that are aggressive and will cause trouble,’ he adds.

Park and his team cautioned that there may be other genetic factors that control tamoxifen resistance, and that nothing in their study should suggest that tamoxifen use should be avoided. EurekAlert

New method for quickly determining antibiotic resistance

Scientists from Uppsala University, the Science for Life Laboratory (SciLifeLab) in Stockholm and Uppsala University Hospital have developed a new method of rapidly identifying which bacteria are causing an infection and determining whether they are resistant or sensitive to antibiotics.

‘Clinical use of the method would mean that the right antibiotic treatment could be started straightaway, reducing unnecessary use of antibiotics,’ says Professor Dan I. Andersson of Uppsala University, who headed the study jointly with Professor Mats Nilsson of SciLifeLab in Stockholm and Stockholm University.

Antibiotic resistance is a growing medical problem that threatens human health all over the world. Today, many people are dying because of infections caused by resistant bacteria. When an infected person is treated with antibiotics, ‘empirical therapy’ is usually provided. This means that the choice of antibiotic is based on the resistance situation of the bacteria in a large population (such as the Swedish population), rather than on the resistance, if any, of the bacteria in the infected person’s body. The result is sometimes selection of an antibiotic drug that is ineffective against the bacteria concerned, because the latter is resistant to the drug chosen. This, in turn, boosts the use of antibiotics, especially what are known as ‘broad-spectrum’ antibiotics that work on many types of bacteria. One possible solution to these problems would be for us to have reliable methods of quickly and easily identifying the bacterial species causing the infection and its resistance pattern, and apply the correct treatment immediately.

Professor Andersson continues: ‘This is just what we’ve been working on in our study. We have developed a new method that permits identification of both the species and the resistance pattern of bacteria in urinary infections in less than four hours. By comparison, the resistance determination done at present takes one to two days.’

The method is based on highly sensitive, bacterium-specific measurement of bacterial growth in the absence and presence of various antibiotics. If the bacterium is resistant, it can multiply with antibiotic present; this is detected as a rise in the number of copies of a specific DNA sequence. If it is sensitive, on the other hand, no growth takes place. The researchers showed that the method could identify correctly both the bacteria and their resistance patterns in all the clinical samples analysed.

Anja Mezger, the principal author, says that the method is highly specific and sensitive, and can be automated for use in a clinical laboratory. What is more, it is entirely general in application and could, in principle, be used for all types of bacteria and antibiotics.

An instrument based on the method is currently being developed at Q-linea, a company in Uppsala of which Mats Nilsson was a co-founder. This instrument focuses on blood infections. Such infections are life-threatening and it is extremely important for effective treatment that the patient should start taking the correct antibiotic without delay. The company expects to launch a working instrument on the market in 2017.

‘We hope that the method can be used in the future at hospitals and health centres, so that the right treatment is given promptly, and also so that the use of antibiotics is reduced,’ says Dan Andersson. Uppsala University