Alterations in composition and diversity of the intestinal microbiota in patients with diarrhea-predominant irritable bowel syndrome

被引:362
作者
Carroll, I. M.
Ringel-Kulka, T. [2 ]
Siddle, J. P.
Ringel, Y. [1 ]
机构
[1] Univ N Carolina, Sch Med, Div Gastroenterol & Hepatol, Dept Med, Chapel Hill, NC 27599 USA
[2] Univ N Carolina, Gillings Sch Global Publ Hlth, Chapel Hill, NC 27599 USA
基金
美国国家卫生研究院;
关键词
16S rRNA gene; Faecalibacteium prausnitzii; intestinal microbiota; irritable bowel syndrome; pyrosequencing; 16S RIBOSOMAL-RNA; BUTYRATE-PRODUCING BACTERIA; QUALITY-OF-LIFE; MYOELECTRIC ACTIVITY; MOLECULAR ANALYSIS; FECAL MICROBIOTA; GUT MICROBIOME; REVEALS; SAMPLES; COMMUNITIES;
D O I
10.1111/j.1365-2982.2012.01891.x
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Background The intestinal microbiota has been implicated in the pathophysiology of irritable bowel syndrome (IBS). Due to the variable resolutions of techniques used to characterize the intestinal microbiota, and the heterogeneity of IBS, the defined alterations of the IBS intestinal microbiota are inconsistent. We analyzed the composition of the intestinal microbiota in a defined subgroup of IBS patients (diarrhea-predominant IBS, D-IBS) using a technique that provides the deepest characterization available for complex microbial communities. Methods Fecal DNA was isolated from 23 D-IBS patients and 23 healthy controls (HC). Variable regions V1V3 and V6 of the 16S rRNA gene were amplified from all samples. PCR products were sequenced using 454 high throughput sequencing. The composition, diversity and richness of microbial communities were determined and compared between D-IBS and HC using the quantitative insights into microbial ecology pipeline. Key Results The contribution of bacterial groups to the composition of the intestinal microbiota differed between D-IBS and HC. D-IBS patients had significantly higher levels of Enterobacteriaceae (P = 0.03), and lower levels of Fecalibacterium genera (P = 0.04) compared to HC. beta-Diversity values demonstrated significantly lower levels of UniFrac distances in HC compared to D-IBS patients. The richness of 16S rRNA sequences was significantly decreased in D-IBS patients (P < 0.04). Conclusions & Inferences Our 16S rRNA sequence data demonstrates a community-level dysbiosis in D-IBS. The altered composition of the intestinal microbiota in D-IBS is associated with significant increases in detrimental and decreases in beneficial bacterial groups, and a reduction in microbial richness.
引用
收藏
页码:521 / +
页数:11
相关论文
共 60 条
[1]   Comparative Analysis of Human Gut Microbiota by Barcoded Pyrosequencing [J].
Andersson, Anders F. ;
Lindberg, Mathilda ;
Jakobsson, Hedvig ;
Backhed, Fredrik ;
Nyren, Pal ;
Engstrand, Lars .
PLOS ONE, 2008, 3 (07)
[2]   Review article: the psychoneuroimmunology of irritable bowel syndrome - an exploration of interactions between psychological, neurological and immunological observations [J].
Arebi, N. ;
Gurmany, S. ;
Bullas, D. ;
Hobson, A. ;
Stagg, A. ;
Kamm, M. .
ALIMENTARY PHARMACOLOGY & THERAPEUTICS, 2008, 28 (07) :830-840
[3]   Host-bacterial mutualism in the human intestine [J].
Bäckhed, F ;
Ley, RE ;
Sonnenburg, JL ;
Peterson, DA ;
Gordon, JI .
SCIENCE, 2005, 307 (5717) :1915-1920
[4]  
BALSARI A, 1982, MICROBIOLOGICA, V5, P185
[5]   Phylogenetic relationships of butyrate-producing bacteria from the human gut [J].
Barcenilla, A ;
Pryde, SE ;
Martin, JC ;
Duncan, SH ;
Stewart, CS ;
Henderson, C ;
Flint, HJ .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2000, 66 (04) :1654-1661
[6]   An Evidence-Based Position Statement on the Management of Irritable Bowel Syndrome [J].
Brandt, Lawrence J. ;
Chey, William D. ;
Foxx-Orenstein, Amy E. ;
Quigley, Eamonn M. M. ;
Schiller, Lawrence R. ;
Schoenfeld, Philip S. ;
Spiegel, Brennan M. ;
Talley, Nicholas J. ;
Moayyedi, Paul .
AMERICAN JOURNAL OF GASTROENTEROLOGY, 2009, 104 :S1-S36
[7]  
Brenner DM, 2009, REV GASTROENTEROL DI, V9, P7
[8]   INTERDIGESTIVE MYOELECTRIC COMPLEX IN GERM-FREE RATS [J].
CAENEPEEL, P ;
JANSSENS, J ;
VANTRAPPEN, G ;
EYSSEN, H ;
COREMANS, G .
DIGESTIVE DISEASES AND SCIENCES, 1989, 34 (08) :1180-1184
[9]   QIIME allows analysis of high-throughput community sequencing data [J].
Caporaso, J. Gregory ;
Kuczynski, Justin ;
Stombaugh, Jesse ;
Bittinger, Kyle ;
Bushman, Frederic D. ;
Costello, Elizabeth K. ;
Fierer, Noah ;
Pena, Antonio Gonzalez ;
Goodrich, Julia K. ;
Gordon, Jeffrey I. ;
Huttley, Gavin A. ;
Kelley, Scott T. ;
Knights, Dan ;
Koenig, Jeremy E. ;
Ley, Ruth E. ;
Lozupone, Catherine A. ;
McDonald, Daniel ;
Muegge, Brian D. ;
Pirrung, Meg ;
Reeder, Jens ;
Sevinsky, Joel R. ;
Tumbaugh, Peter J. ;
Walters, William A. ;
Widmann, Jeremy ;
Yatsunenko, Tanya ;
Zaneveld, Jesse ;
Knight, Rob .
NATURE METHODS, 2010, 7 (05) :335-336
[10]   PyNAST: a flexible tool for aligning sequences to a template alignment [J].
Caporaso, J. Gregory ;
Bittinger, Kyle ;
Bushman, Frederic D. ;
DeSantis, Todd Z. ;
Andersen, Gary L. ;
Knight, Rob .
BIOINFORMATICS, 2010, 26 (02) :266-267