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Characterization of Intestinal Microbiota in Ulcerative Colitis Patients with and without Primary Sclerosing
D Kevans1, A D Tyler2, K Holm3
1Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital IBD Group, Toronto, ON, Canada Division of Gastroenterology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
Journal of Crohn'S & Colitis
|November 4, 2015
Summary
This study found no consistent gut bacteria differences between ulcerative colitis patients with and without primary sclerosing cholangitis across multiple centers. Sample collection location significantly impacted microbial composition, not the disease phenotype.
Area of Science:
- Gastroenterology
- Microbiome Research
- Inflammatory Bowel Disease
Background:
- Ulcerative colitis (UC) and primary sclerosing cholangitis (PSC) share an unexplained association.
- The gut microbiota is a potential factor linking UC and PSC.
Purpose of the Study:
- To compare the intestinal microbiota structure in UC patients with and without PSC.
- To investigate potential microbial differences associated with PSC-UC.
Main Methods:
- Compared colonic tissue microbial DNA from 31 PSC-UC patients and 56 UC patients across three biobanks.
- Utilized 16S rRNA gene sequencing and Quantitative Insights Into Microbial Ecology (QIIME) for analysis.
- Assessed microbial alpha diversity, beta diversity, and relative abundance.
Main Results:
- Sample collection city was the strongest determinant of microbial taxonomic profile.
- A modest decrease in Chao 1 index was observed in PSC-UC patients in one cohort, but not consistently.
- No significant clustering by PSC phenotype was found using beta diversity measures.
- Nominal differences in microbial genera between groups were not robust to false-discovery rate correction.
Conclusions:
- No strong, consistent PSC-specific microbial associations were identified in UC patients across cohorts.
- Recruitment center significantly influenced microbial composition.
- Larger cohorts are needed to increase statistical power and control for confounding factors in future research.
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