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Blue poo : Impact o...
Blue poo : Impact of gut transit time on the gut microbiome using a novel marker
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- Asnicar, Francesco (author)
- University of Trento
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- Leeming, Emily R. (author)
- King's College London
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- Dimidi, Eirini (author)
- King's College London
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- Mazidi, Mohsen (author)
- King's College London
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- Franks, Paul (author)
- Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups
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- Al Khatib, Haya (author)
- King's College London,Zoe Global Limited
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- Valdes, Ana M. (author)
- Nottingham University Hospitals NHS Trust,University of Nottingham
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- Davies, Richard (author)
- Zoe Global Limited
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- Bakker, Elco (author)
- Zoe Global Limited
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- Francis, Lucy (author)
- Zoe Global Limited
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- Chan, Andrew (author)
- Massachusetts General Hospital
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- Gibson, Rachel (author)
- King's College London
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- Hadjigeorgiou, George (author)
- Zoe Global Limited
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- Wolf, Jonathan (author)
- Zoe Global Limited
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- Spector, Timothy D. (author)
- King's College London
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- Segata, Nicola (author)
- University of Trento
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- Berry, Sarah E. (author)
- King's College London
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(creator_code:org_t)
- 2021-03-15
- 2021
- English.
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In: Gut. - : BMJ. - 0017-5749 .- 1468-3288. ; 70:9, s. 1665-1674
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https://gut.bmj.com/...
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Abstract
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- Background and aims: Gut transit time is a key modulator of host-microbiome interactions, yet this is often overlooked, partly because reliable methods are typically expensive or burdensome. The aim of this single-arm, single-blinded intervention study is to assess (1) the relationship between gut transit time and the human gut microbiome, and (2) the utility of the a € blue dye' method as an inexpensive and scalable technique to measure transit time. Methods: We assessed interactions between the taxonomic and functional potential profiles of the gut microbiome (profiled via shotgun metagenomic sequencing), gut transit time (measured via the blue dye method), cardiometabolic health and diet in 863 healthy individuals from the PREDICT 1 study. Results: We found that gut microbiome taxonomic composition can accurately discriminate between gut transit time classes (0.82 area under the receiver operating characteristic curve) and longer gut transit time is linked with specific microbial species such as Akkermansia muciniphila, Bacteroides spp and Alistipes spp (false discovery rate-adjusted p values <0.01). The blue dye measure of gut transit time had the strongest association with the gut microbiome over typical transit time proxies such as stool consistency and frequency. Conclusions: Gut transit time, measured via the blue dye method, is a more informative marker of gut microbiome function than traditional measures of stool consistency and frequency. The blue dye method can be applied in large-scale epidemiological studies to advance diet-microbiome-health research. Clinical trial registry website https://clinicaltrials.gov/ct2/show/NCT03479866 and trial number NCT03479866.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Mikrobiologi inom det medicinska området (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Microbiology in the medical area (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Gastroenterologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Gastroenterology and Hepatology (hsv//eng)
Keyword
- gastrointestinal transit
- intestinal bacteria
Publication and Content Type
- art (subject category)
- ref (subject category)
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Asnicar, Frances ...
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Leeming, Emily R ...
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Dimidi, Eirini
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Mazidi, Mohsen
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Franks, Paul
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Al Khatib, Haya
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show more...
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Valdes, Ana M.
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Davies, Richard
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Bakker, Elco
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Francis, Lucy
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Chan, Andrew
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Gibson, Rachel
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Hadjigeorgiou, G ...
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Wolf, Jonathan
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Spector, Timothy ...
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Segata, Nicola
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Berry, Sarah E.
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