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Wellcome Open ResearchSystems BiologyPeer-reviewed journal article

Introducing ExHiBITT - Exploring Host microbiome inTeractions in Twins-, a colon multiomic cohort study

Marina Mora-OrtiziD, Hajir IbraheimiD, Sherine Hermangild KottooriD, Ruth C. E. BowyeriD, Sarah MetrustryiD, Jeremy David SandersoniD, Nick PowelliD, Tim D. SpectoriD, Kerrin S. SmalliD, Claire Joanne StevesiD

PDFDOIPreprint

Abstract

The colon is populated by approximately 1012 microorganisms, but the relationships between this microbiome and the host health status are still not completely understood. Participants from the TwinsUK cohort were recruited to study the interactions between the microbiome and host adaptive immunity. In total, 205 monozygotic twins were recruited from the wider TwinsUK cohort. They completed health questionnaires, and provided saliva, blood, colon biopsies from three different locations, caecal fluid, and two faecal-samples.\n\nHere, our objective is to present the cohort characteristics of ExHiBITT including i) biomedical phenotypes, ii) environmental factors and ii) colonoscopic findings. A significant proportion of this apparently normal cohort had colonic polyps (28%), which are of interest as potential precursors of colorectal cancer, and as expected, the number of polyps found was significantly correlated with BMI and age. Hitherto undiagnosed diverticulosis was also not infrequently found during colonoscopy (26%) and was associated in changes in Hybrid Th1-17 cells in the colon. Twin proband cooccurrence rate for diverticulosis (82%), was much higher than for polyps (42%). Familial factors affecting morphology or tolerance may contribute to the ease of endoscopy, as both the time to reach the caecum, and pain perceived were highly concordant (proband concordance: 85% and 56% respectively). We found the expected positive relationship between BMI and colonoscopic anomalies such as diverticular disease and polyps in the whole population, but within twin pairs this association was reversed. This suggests that familial factors confound these associations. Host and microbial Next Generation Sequencing and metabolomics of the samples collected are planned in this cohort.

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