Global and Deep Molecular Analysis of Microbiota Signatures in Fecal Samples From Patients With Irritable Bowel Syndrome

拟杆菌 厚壁菌 肠易激综合征 瘤胃球菌 粪便 胃肠病学 医学 内科学 双歧杆菌 蛋白质细菌 真细菌 生物 发病机制 肠道菌群 微生物学 免疫学 乳酸菌 食品科学 16S核糖体RNA 细菌 遗传学 发酵
作者
Mirjana Rajilić‐Stojanović,Elena Biagi,Hans G. H. J. Heilig,Kajsa Kajander,Riina A. Kekkonen,Sebastian Tims,Willem M. de Vos
出处
期刊:Gastroenterology [Elsevier BV]
卷期号:141 (5): 1792-1801 被引量:966
标识
DOI:10.1053/j.gastro.2011.07.043
摘要

Irritable bowel syndrome (IBS) has been associated with disruptions to the intestinal microbiota, but studies have had limited power, coverage, and depth of analysis. We aimed to define microbial populations that can be used discriminate the fecal microbiota of patients with IBS from that of healthy subjects and correlate these with IBS intestinal symptom scores.The microbiota composition was assessed by global and deep molecular analysis of fecal samples from 62 patients with IBS patients and 46 healthy individuals (controls). We used a comprehensive and highly reproducible phylogenetic microarray in combination with quantitative polymerase chain reaction.The intestinal microbiota of IBS patients differed significantly (P = .0005) from that of controls. The microbiota of patients, compared with controls, had a 2-fold increased ratio of the Firmicutes to Bacteroidetes (P = .0002). This resulted from an approximately 1.5-fold increase in numbers of Dorea, Ruminococcus, and Clostridium spp (P < .005); a 2-fold decrease in the number of Bacteroidetes (P < .0001); a 1.5-fold decrease in numbers of Bifidobacterium and Faecalibacterium spp (P < .05); and, when present, a 4-fold lower average number of methanogens (3.50 × 10(7) vs 8.74 × 10(6) cells/g feces; P = .003). Correlation analysis of the microbial groups and IBS symptom scores indicated the involvement of several groups of Firmicutes and Proteobacteria in the pathogenesis of IBS.Global and deep molecular analysis of fecal samples indicates that patients with IBS have a different composition of microbiota. This information might be used to develop better diagnostics and ultimately treatments for IBS.
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