Blue poo : Impact of gut transit time on the gut microbiome using a novel marker
(2021) In Gut 70(9). p.1665-1674- Abstract
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... (More)
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.
(Less)
- author
- organization
- publishing date
- 2021
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- gastrointestinal transit, intestinal bacteria
- in
- Gut
- volume
- 70
- issue
- 9
- article number
- e323877
- pages
- 1665 - 1674
- publisher
- BMJ Publishing Group
- external identifiers
-
- pmid:33722860
- scopus:85102698102
- ISSN
- 0017-5749
- DOI
- 10.1136/gutjnl-2020-323877
- language
- English
- LU publication?
- yes
- id
- f48aaf9c-0b1c-4457-9d5d-a9ad05b6a2db
- date added to LUP
- 2021-04-06 12:18:04
- date last changed
- 2024-06-16 11:48:56
@article{f48aaf9c-0b1c-4457-9d5d-a9ad05b6a2db,
abstract = {{<p>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.</p>}},
author = {{Asnicar, Francesco and Leeming, Emily R. and Dimidi, Eirini and Mazidi, Mohsen and Franks, Paul and Al Khatib, Haya and Valdes, Ana M. and Davies, Richard and Bakker, Elco and Francis, Lucy and Chan, Andrew and Gibson, Rachel and Hadjigeorgiou, George and Wolf, Jonathan and Spector, Timothy D. and Segata, Nicola and Berry, Sarah E.}},
issn = {{0017-5749}},
keywords = {{gastrointestinal transit; intestinal bacteria}},
language = {{eng}},
number = {{9}},
pages = {{1665--1674}},
publisher = {{BMJ Publishing Group}},
series = {{Gut}},
title = {{Blue poo : Impact of gut transit time on the gut microbiome using a novel marker}},
url = {{http://dx.doi.org/10.1136/gutjnl-2020-323877}},
doi = {{10.1136/gutjnl-2020-323877}},
volume = {{70}},
year = {{2021}},
}