Glymenaki, M, Barnes, A, Hagan, S O', Warhurst, G, McBain, AJ, Wilson, ID 
ORCID: 0000-0002-8558-7394, Kell, DB ORCID: 0000-0001-5838-7963, Else, KJ and Cruickshank, SM
(2017)
Stability in metabolic phenotypes and inferred metagenome profiles before the onset of colitis-induced inflammation.
SCIENTIFIC REPORTS, 7 (1).
8836-.
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Stability in metabolic phenotypes and inferred metagenome profiles before the onset of colitis-induced inflammation.pdf - Published version Download (1MB) | Preview |
Abstract
Inflammatory bowel disease (IBD) is associated with altered microbiota composition and metabolism, but it is unclear whether these changes precede inflammation or are the result of it since current studies have mainly focused on changes after the onset of disease. We previously showed differences in mucus gut microbiota composition preceded colitis-induced inflammation and stool microbial differences only became apparent at colitis onset. In the present study, we aimed to investigate whether microbial dysbiosis was associated with differences in both predicted microbial gene content and endogenous metabolite profiles. We examined the functional potential of mucus and stool microbial communities in the mdr1a <sup>-/-</sup> mouse model of colitis and littermate controls using PICRUSt on 16S rRNA sequencing data. Our findings indicate that despite changes in microbial composition, microbial functional pathways were stable before and during the development of mucosal inflammation. LC-MS-based metabolic phenotyping (metabotyping) in urine samples confirmed that metabolite profiles in mdr1a <sup>-/-</sup> mice were remarkably unaffected by development of intestinal inflammation and there were no differences in previously published metabolic markers of IBD. Metabolic profiles did, however, discriminate the colitis-prone mdr1a <sup>-/-</sup> genotype from controls. Our results indicate resilience of the metabolic network irrespective of inflammation. Importantly as metabolites differentiated genotype, genotype-differentiating metabolites could potentially predict IBD risk.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Animals, Mice, Knockout, Mice, Colitis, Inflammatory Bowel Diseases, Disease Models, Animal, Disease Susceptibility, RNA, Ribosomal, 16S, Chromatography, High Pressure Liquid, Genotype, Phenotype, Male, Mass Spectrometry, Metabolomics, Metabolome, Metagenome, Metagenomics, Gastrointestinal Microbiome |
| Divisions: | Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 20 Apr 2022 11:27 |
| Last Modified: | 18 Jan 2023 21:04 |
| DOI: | 10.1038/s41598-017-08732-1 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3153448 |
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