Deviations in human gut microbiota: a novel diagnostic test for determining dysbiosis in patients with IBS or IBD. Issue 1 (14th May 2015)

• Record Type: Journal Article
• Authors: Casén, C.; Vebø, H. C.; Sekelja, M.; Hegge, F. T.; Karlsson, M. K.; Ciemniejewska, E.; Dzankovic, S.; Frøyland, C.; Nestestog, R.; Engstrand, L.; Munkholm, P.; Nielsen, O. H.; Rogler, G.; Simrén, M.; Öhman, L.; Vatn, M. H.; Rudi, K.
• Is Part Of: Alimentary pharmacology & therapeutics. Volume 42:Issue 1(2015)
• Page Start: 71
• Page End: 83
• Publication Date: 2015-05-14
• Subjects: Digestive organs -- Diseases -- Treatment -- Periodicals; Digestive organs -- Effect of drugs on -- Periodicals; Gastrointestinal system -- Diseases -- Treatment -- Periodicals; Gastrointestinal system -- Effect of drugs on -- Periodicals; 615.73
• DOI: 10.1111/apt.13236
• Languages: English
• ISSNs: 0269-2813

Abstract

<abstract abstract-type="main" id="apt13236-abs-0001"> <title>Summary</title> <sec id="apt13236-sec-0001" sec-type="section"> <title>Background</title> <p>Dysbiosis is associated with many diseases, including irritable bowel syndrome (IBS), inflammatory bowel diseases (IBD), obesity and diabetes. Potential clinical impact of imbalance in the intestinal microbiota suggests need for new standardised diagnostic methods to facilitate microbiome profiling.</p> </sec> <sec id="apt13236-sec-0002" sec-type="section"> <title>Aim</title> <p>To develop and validate a novel diagnostic test using faecal samples to profile the intestinal microbiota and identify and characterise dysbiosis.</p> </sec> <sec id="apt13236-sec-0003" sec-type="section"> <title>Methods</title> <p>Fifty‐four DNA probes targeting ≥300 bacteria on different taxonomic levels were selected based on ability to distinguish between healthy controls and IBS patients in faecal samples. Overall, 165 healthy controls (normobiotic reference collection) were used to develop a dysbiosis model with a bacterial profile and Dysbiosis Index score output. The model algorithmically assesses faecal bacterial abundance and profile, and potential clinically relevant deviation in the microbiome from normobiosis. This model was tested in different samples from healthy volunteers and IBS and IBD patients (<italic>n </italic>=<italic> </italic>330) to determine the ability to detect dysbiosis.</p> </sec> <sec id="apt13236-sec-0004" sec-type="section"> <title>Results</title> <p>Validation confirms dysbiosis was detected in 73% of IBS patients, 70% of treatment‐naïve IBD patients and 80% of IBD patients in remission, vs. 16% of healthy individuals. Comparison of deep sequencing and the GA‐map Dysbiosis Test, (Genetic Analysis AS, Oslo, Norway) illustrated good agreement in bacterial capture; the latter showing higher resolution by targeting pre‐determined highly relevant bacteria.</p> </sec> <sec id="apt13236-sec-0005" sec-type="section"> <title>Conclusions</title> <p>The GA‐map Dysbiosis Test identifies and characterises dysbiosis in IBS and IBD patients, and provides insight into a patient's intestinal microbiota. Evaluating microbiota as a diagnostic strategy may allow monitoring of prescribed treatment regimens and improvement in new therapeutic approaches.</p> </sec> </abstract>