Identification of an Intestinal Microbiota Signature Associated With Severity of Irritable Bowel Syndrome

肠易激综合征 内科学 胃肠病学 鉴定(生物学) 医学 小肠细菌生长过度 生物 生态学
作者
Julien Tap,Muriel Derrien,Hans Törnblom,Rémi Brazeilles,Stéphanie Cools-Portier,Joël Doré,Stine Störsrud,Boris Le Nevé,Lena Öhman,Magnus Simrén
出处
期刊:Gastroenterology [Elsevier BV]
卷期号:152 (1): 111-123.e8 被引量:548
标识
DOI:10.1053/j.gastro.2016.09.049
摘要

We have limited knowledge about the association between the composition of the intestinal microbiota and clinical features of irritable bowel syndrome (IBS). We collected information on the fecal and mucosa-associated microbiota of patients with IBS and evaluated whether these were associated with symptoms.We collected fecal and mucosal samples from adult patients who met the Rome III criteria for IBS at a secondary/tertiary care outpatient clinics in Sweden, as well as from healthy subjects. The exploratory set comprised 149 subjects (110 with IBS and 39 healthy subjects); 232 fecal samples and 59 mucosal biopsy samples were collected and analyzed by 16S ribosomal RNA targeted pyrosequencing. The validation set comprised 46 subjects (29 with IBS and 17 healthy subjects); 46 fecal samples, but no mucosal samples, were collected and analyzed. For each subject, we measured exhaled H2 and CH4, oro-anal transit time, and the severity of psychological and gastrointestinal symptoms. Fecal methanogens were measured by quantitative polymerase chain reaction. Numerical ecology analyses and a machine learning procedure were used to analyze the data.Fecal microbiota showed covariation with mucosal adherent microbiota. By using classic approaches, we found no differences in fecal microbiota abundance or composition between patients with IBS vs healthy patients. A machine learning procedure, a computational statistical technique, allowed us to reduce the 16S ribosomal RNA data complexity into a microbial signature for severe IBS, consisting of 90 bacterial operational taxonomic units. We confirmed the robustness of the intestinal microbial signature for severe IBS in the validation set. The signature was able to discriminate between patients with severe symptoms, patients with mild/moderate symptoms, and healthy subjects. By using this intestinal microbiota signature, we found IBS symptom severity to be associated negatively with microbial richness, exhaled CH4, presence of methanogens, and enterotypes enriched with Clostridiales or Prevotella species. This microbiota signature could not be explained by differences in diet or use of medications.In analyzing fecal and mucosal microbiota from patients with IBS and healthy individuals, we identified an intestinal microbiota profile that is associated with the severity of IBS symptoms.NCT01252550.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
Suda发布了新的文献求助10
1秒前
1秒前
淡淡晓夏完成签到,获得积分10
1秒前
XQ发布了新的文献求助10
2秒前
2秒前
2秒前
嘻嘻发布了新的文献求助10
2秒前
qy发布了新的文献求助10
3秒前
缥缈苑博完成签到,获得积分10
4秒前
jiangbai完成签到,获得积分10
4秒前
隐形的从阳完成签到 ,获得积分10
4秒前
4秒前
橙ccc完成签到,获得积分20
5秒前
5秒前
6秒前
小陈陈发布了新的文献求助10
6秒前
李健应助王富贵啊采纳,获得10
6秒前
冷傲的xu发布了新的文献求助10
7秒前
7秒前
鄂海菡完成签到,获得积分0
7秒前
7秒前
共享精神应助希希采纳,获得10
8秒前
情怀应助高言采纳,获得10
8秒前
8秒前
香蕉觅云应助wwrjj采纳,获得10
8秒前
8秒前
轻松的小笼包完成签到 ,获得积分10
9秒前
9秒前
greenandblue完成签到,获得积分10
9秒前
蝎子莱莱完成签到,获得积分10
10秒前
Mike14完成签到,获得积分10
11秒前
11秒前
可靠白卉发布了新的文献求助10
11秒前
酷波er应助Apricot采纳,获得10
11秒前
11秒前
11秒前
所所应助Alextran91采纳,获得30
12秒前
123完成签到,获得积分10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
Resiliency Scale for Adolescents--Chinese Version 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7328055
求助须知:如何正确求助?哪些是违规求助? 8942938
关于积分的说明 18967921
捐赠科研通 6983945
什么是DOI,文献DOI怎么找? 3216245
关于科研通互助平台的介绍 2382999
邀请新用户注册赠送积分活动 2195681