A Pyrosequencing Study in Twins Shows That Gastrointestinal Microbial Profiles Vary With Inflammatory Bowel Disease Phenotypes
Abstract
Background & aims The composition of the gastrointestinal microbiota is thought to have an important role in the etiology of inflammatory bowel diseases (IBDs) such as Crohn's disease (CD) and ulcerative colitis (UC). Interindividual variation and an inability to detect less abundant bacteria have made it difficult to correlate specific bacteria with disease.Methods We used 454 pyrotag sequencing to determine the compositions of microbial communities in feces samples collected from a cohort of 40 twin pairs who were concordant or discordant for CD or UC, and in mucosal samples from a subset of the cohort. The cohort primarily comprised patients who were in remission, but also some with active disease.Results The profiles of the microbial community differed with disease phenotypes; relative amounts of bacterial populations correlated with IBD phenotypes. The microbial compositions of individuals with CD differed from those of healthy individuals, but were similar between healthy individuals and individuals with UC. Profiles from individuals with CD that predominantly involved the ileum differed from those with CD that predominantly involved the colon; several bacterial populations increased or decreased with disease type. Changes specific to patients with ileal CD included the disappearance of core bacteria, such as Faecalibacterium and Roseburia, and increased amounts of Enterobacteriaceae and Ruminococcus gnavus.Conclusions Bacterial populations differ in abundance among individuals with different phenotypes of CD. Specific species of bacteria are associated with ileal CD; further studies should investigate their role in pathogenesis.
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Dynamic changes in the microbiome and host immune response during IBD were of much greater magnitude than cross-sectional differences among clinical phenotypes.
“Indeed, these dynamic changes were of much greater magnitude than were cross-sectional differences among clinical phenotypes, which have been emphasized by previous studies67,71,78,79.”
From The Integrative Human Microbiome Project (2019) · cites this paper as [78]
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References 47 · Cited by 1,032
- Authors
- Willing, B. P., Dicksved, J., Halfvarson, J., Andersson, A. F., Lucio, M., Zheng, Z., Järnerot, G., Tysk, C., Jansson, J. K., & Engstrand, L.
- Affiliations
- Swedish University of Agricultural Sciences (SE)
- Örebro University Hospital (SE)
- Science for Life Laboratory (SE)
- Helmholtz Munich (DE)
- Karolinska Institutet (SE)
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Engstrand, Lars
- ORCID
- Venue
- Gastroenterology
- Publisher
- Elsevier BV
- Published
- 2010-12
- Volume
- 139
- Issue
- 6
- Pages
- 1844-1854.e1
- ISSN
- 0016-5085 (ISSN-L)
- OpenAlex
- W2107805776
- Cited by
- 1,032
- References
- 47
- Citations by year
- 2026: 21 · 2025: 39 · 2024: 61 · 2023: 58 · 2022: 61 · 2021: 73 · 2020: 78 · 2019: 90 · 2018: 62 · 2017: 69 · 2016: 90 · 2015: 60 · 2014: 76 · 2013: 78 · 2012: 70
- FWCI
- 25.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Gastroenterology (publishedVersion)
- PubMed (publishedVersion)
- Site cant be reached (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Inflammatory Bowel Disease
- Health Sciences › Medicine › Epidemiology › Microscopic Colitis
- Keywords
- inflammatory bowel disease, Crohn's disease, ulcerative colitis, gut microbiota, microbial community composition, disease phenotypes, ileal Crohn's disease, Faecalibacterium, Roseburia, Ruminococcus gnavus, Enterobacteriaceae, mucosal microbiota, fecal microbiota, twins, IBD pathogenesis
- MeSH terms
- Adult, Aged, Bacteria, Biopsy, Colitis, Ulcerative, Colon, Crohn Disease, Feces, Genes, Bacterial, Humans, Ileum, Middle Aged, Phenotype, RNA, Ribosomal, Twins, Dizygotic, Twins, Monozygotic, Sequence Analysis, DNA, Metagenome
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