Blue poo: impact of gut transit time on the gut microbiome using a novel marker.
Blue poo: impact of gut transit time on the gut microbiome using a novel marker.
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蓝色粪便:使用一种新的标记,肠道通过时间对肠道微生物组的影响。
DOI:
10.1136/gutjnl-2020-323877
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发表时间:
2021-09
期刊:
影响因子:
24.5
通讯作者:
Berry SE
中科院分区:
文献类型:
--
作者:
Asnicar F;Leeming ER;Dimidi E;Mazidi M;Franks PW;Al Khatib H;Valdes AM;Davies R;Bakker E;Francis L;Chan A;Gibson R;Hadjigeorgiou G;Wolf J;Spector TD;Segata N;Berry SE
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. 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. 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. 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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影响因子:
7.6
作者:
Blake, M. R.;Raker, J. M.;Whelan, K.
通讯作者:
Whelan, K.
影响因子:
82.9
作者:
Berry SE;Valdes AM;Drew DA;Asnicar F;Mazidi M;Wolf J;Capdevila J;Hadjigeorgiou G;Davies R;Al Khatib H;Bonnett C;Ganesh S;Bakker E;Hart D;Mangino M;Merino J;Linenberg I;Wyatt P;Ordovas JM;Gardner CD;Delahanty LM;Chan AT;Segata N;Franks PW;Spector TD
通讯作者:
Spector TD
影响因子:
2.8
作者:
de Vos, Willem M.
通讯作者:
de Vos, Willem M.
影响因子:
24.5
作者:
BANNISTER, JJ;DAVISON, P;READ, NW
通讯作者:
READ, NW
DOI:
10.1099/ijs.0.2008/004580-0
发表时间:
2008-07-01
影响因子:
2.8
作者:
Duncan, Sylvia H.;Flint, Harry J.
通讯作者:
Flint, Harry J.