Gut microbiota signatures in inflammatory bowel disease

被引:25
作者
Vestergaard, Marie Vibeke [1 ,9 ]
Allin, Kristine H. [1 ,2 ]
Eriksen, Carsten [1 ,3 ]
Zakerska-Banaszak, Oliwia [4 ]
Arasaradnam, Ramesh P. [5 ,6 ]
Alam, Mohammad T. [5 ,6 ,7 ]
Kristiansen, Karsten [1 ,8 ]
Brix, Susanne [1 ,3 ]
Jess, Tine [1 ,2 ]
机构
[1] Aalborg Univ, Ctr Mol Predict Inflammatory Bowel Dis, Dept Clin Med, PREDICT, Copenhagen, Denmark
[2] Aalborg Univ Hosp, Dept Gastroenterol & Hepatol, Aalborg, Denmark
[3] Tech Univ Denmark, Dept Biotechnol & Biomed, Lyngby, Denmark
[4] Polish Acad Sci, Inst Human Genet, Poznan, Poland
[5] Univ Leicester, Warwick Med Sch, Leicester, England
[6] Univ Leicester, Canc Res Ctr, Leicester, England
[7] United Arab Emirates Univ, Dept Biol, Al Ain, Abu Dhabi, U Arab Emirates
[8] Univ Copenhagen, Dept Biol, Lab Genom & Mol Med, Copenhagen, Denmark
[9] Aalborg Univ, Natl Ctr Excellence Mol Predict Inflammatory Bowel, PREDICT, AC Meyers Vaenge 15A, DK-2450 Copenhagen, Denmark
基金
新加坡国家研究基金会;
关键词
16S rRNA amplicon sequencing; Crohn's disease; Faecalibacterium; IBD; microbiome; microbiota; Roseburia; Turicibacter; ulcerative colitis; FECAL MICROBIOTA; CROHNS-DISEASE; THERAPY; VIROME;
D O I
10.1002/ueg2.12485
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Background: Inflammatory bowel diseases (IBD), including Crohn's disease (CD) and ulcerative colitis (UC), affect millions of people worldwide with increasing incidence.Objectives: Several studies have shown a link between gut microbiota composition and IBD, but results are often limited by small sample sizes. We aimed to re-analyze publicly available fecal microbiota data from IBD patients.Methods: We extracted original fecal 16S rRNA amplicon sequencing data from 45 cohorts of IBD patients and healthy individuals using the BioProject database at the National Center for Biotechnology Information. Unlike previous meta-analyses, we merged all study cohorts into a single dataset, including sex, age, geography, and disease information, based on which microbiota signatures were analyzed, while accounting for varying technical platforms.Results: Among 2518 individuals in the combined dataset, we discovered a hitherto unseen number of genera associated with IBD. A total of 77 genera associated with CD, of which 38 were novel associations, and a total of 64 genera associated with UC, of which 28 represented novel associations. Signatures were robust across different technical platforms and geographic locations. Reduced alpha diversity in IBD compared to healthy individuals, in CD compared to UC, and altered microbiota composition (beta diversity) in UC and especially in CD as compared to healthy individuals were found.Conclusions: Combining original microbiota data from 45 cohorts, we identified a hitherto unseen large number of genera associated with IBD. Identification of microbiota features robustly associated with CD and UC may pave the way for the identification of new treatment targets.
引用
收藏
页码:22 / 33
页数:12
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