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

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 t...

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Autores principales: Asnicar, Francesco, Leeming, Emily R, Dimidi, Eirini, Mazidi, Mohsen, Franks, Paul W, Al Khatib, Haya, Valdes, Ana M, Davies, Richard, Bakker, Elco, Francis, Lucy, Chan, Andrew, Gibson, Rachel, Hadjigeorgiou, George, Wolf, Jonathan, Spector, Timothy D, Segata, Nicola, Berry, Sarah E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349893/
https://www.ncbi.nlm.nih.gov/pubmed/33722860
http://dx.doi.org/10.1136/gutjnl-2020-323877
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author Asnicar, Francesco
Leeming, Emily R
Dimidi, Eirini
Mazidi, Mohsen
Franks, Paul W
Al Khatib, Haya
Valdes, Ana M
Davies, Richard
Bakker, Elco
Francis, Lucy
Chan, Andrew
Gibson, Rachel
Hadjigeorgiou, George
Wolf, Jonathan
Spector, Timothy D
Segata, Nicola
Berry, Sarah E
author_facet Asnicar, Francesco
Leeming, Emily R
Dimidi, Eirini
Mazidi, Mohsen
Franks, Paul W
Al Khatib, Haya
Valdes, Ana M
Davies, Richard
Bakker, Elco
Francis, Lucy
Chan, Andrew
Gibson, Rachel
Hadjigeorgiou, George
Wolf, Jonathan
Spector, Timothy D
Segata, Nicola
Berry, Sarah E
author_sort Asnicar, Francesco
collection PubMed
description 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 ‘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.
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spelling pubmed-83498932021-08-27 Blue poo: impact of gut transit time on the gut microbiome using a novel marker Asnicar, Francesco Leeming, Emily R Dimidi, Eirini Mazidi, Mohsen Franks, Paul W Al Khatib, Haya Valdes, Ana M Davies, Richard Bakker, Elco Francis, Lucy Chan, Andrew Gibson, Rachel Hadjigeorgiou, George Wolf, Jonathan Spector, Timothy D Segata, Nicola Berry, Sarah E Gut Gut Microbiota 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 ‘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. BMJ Publishing Group 2021-09 2021-03-15 /pmc/articles/PMC8349893/ /pubmed/33722860 http://dx.doi.org/10.1136/gutjnl-2020-323877 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Gut Microbiota
Asnicar, Francesco
Leeming, Emily R
Dimidi, Eirini
Mazidi, Mohsen
Franks, Paul W
Al Khatib, Haya
Valdes, Ana M
Davies, Richard
Bakker, Elco
Francis, Lucy
Chan, Andrew
Gibson, Rachel
Hadjigeorgiou, George
Wolf, Jonathan
Spector, Timothy D
Segata, Nicola
Berry, Sarah E
Blue poo: impact of gut transit time on the gut microbiome using a novel marker
title Blue poo: impact of gut transit time on the gut microbiome using a novel marker
title_full Blue poo: impact of gut transit time on the gut microbiome using a novel marker
title_fullStr Blue poo: impact of gut transit time on the gut microbiome using a novel marker
title_full_unstemmed Blue poo: impact of gut transit time on the gut microbiome using a novel marker
title_short Blue poo: impact of gut transit time on the gut microbiome using a novel marker
title_sort blue poo: impact of gut transit time on the gut microbiome using a novel marker
topic Gut Microbiota
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349893/
https://www.ncbi.nlm.nih.gov/pubmed/33722860
http://dx.doi.org/10.1136/gutjnl-2020-323877
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