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Blue poo : Impact of gut transit time on the gut microbiome using a novel marker

Asnicar, Francesco (author)
University of Trento
Leeming, Emily R. (author)
King's College London
Dimidi, Eirini (author)
King's College London
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Mazidi, Mohsen (author)
King's College London
Franks, Paul (author)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups
Al Khatib, Haya (author)
Zoe Global Limited,King's College London
Valdes, Ana M. (author)
Nottingham University Hospitals NHS Trust,University of Nottingham
Davies, Richard (author)
Zoe Global Limited
Bakker, Elco (author)
Zoe Global Limited
Francis, Lucy (author)
Zoe Global Limited
Chan, Andrew (author)
Massachusetts General Hospital
Gibson, Rachel (author)
King's College London
Hadjigeorgiou, George (author)
Zoe Global Limited
Wolf, Jonathan (author)
Zoe Global Limited
Spector, Timothy D. (author)
King's College London
Segata, Nicola (author)
University of Trento
Berry, Sarah E. (author)
King's College London
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 (creator_code:org_t)
2021-03-15
2021
English.
In: Gut. - : BMJ. - 0017-5749 .- 1468-3288. ; 70:9, s. 1665-1674
  • Journal article (peer-reviewed)
Abstract Subject headings
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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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