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
baozeNG发布了新的文献求助10
1秒前
叶耶耶发布了新的文献求助10
2秒前
4秒前
宋相甫完成签到,获得积分10
5秒前
5秒前
包包完成签到 ,获得积分10
6秒前
科研通AI6.2应助研友_LMBAXn采纳,获得10
8秒前
9秒前
yywang完成签到,获得积分10
9秒前
gcl完成签到,获得积分10
9秒前
LiangWQ完成签到,获得积分10
10秒前
蓝绝发布了新的文献求助10
11秒前
CodeCraft应助木木采纳,获得10
11秒前
taoyanhui完成签到,获得积分10
12秒前
心系天下完成签到 ,获得积分10
14秒前
biozy完成签到,获得积分10
14秒前
光亮灯泡完成签到,获得积分10
15秒前
阚乐乐完成签到 ,获得积分10
15秒前
蓝绝完成签到,获得积分10
17秒前
马耳完成签到,获得积分10
17秒前
kongchao008完成签到,获得积分10
19秒前
22秒前
健忘青牛完成签到 ,获得积分10
22秒前
22秒前
乐观的翠琴完成签到 ,获得积分10
24秒前
不知道叫个啥完成签到 ,获得积分10
24秒前
平常的半莲完成签到 ,获得积分10
27秒前
缥缈的雁枫完成签到,获得积分10
27秒前
杨杨杨完成签到 ,获得积分10
27秒前
竹竹发布了新的文献求助30
27秒前
无痕梦完成签到 ,获得积分10
33秒前
梅夕阳完成签到,获得积分10
35秒前
季秋完成签到,获得积分10
35秒前
微雨若,,完成签到 ,获得积分10
35秒前
辛勤冬天应助xh采纳,获得10
35秒前
xue完成签到 ,获得积分10
36秒前
太少拿米完成签到,获得积分10
37秒前
竹竹完成签到,获得积分10
39秒前
40秒前
zhunyun完成签到 ,获得积分10
41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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6508422
求助须知:如何正确求助?哪些是违规求助? 8301411
关于积分的说明 17721814
捐赠科研通 5609198
什么是DOI,文献DOI怎么找? 2921779
邀请新用户注册赠送积分活动 1898969
关于科研通互助平台的介绍 1761581