TY - JOUR
T1 - Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals
AU - Asnicar, Francesco
AU - Berry, Sarah E.
AU - Valdes, Ana M.
AU - Nguyen, Long H.
AU - Piccinno, Gianmarco
AU - Drew, David A.
AU - Leeming, Emily
AU - Gibson, Rachel
AU - Le Roy, Caroline
AU - Khatib, Haya Al
AU - Francis, Lucy
AU - Mazidi, Mohsen
AU - Mompeo, Olatz
AU - Valles-Colomer, Mireia
AU - Tett, Adrian
AU - Beghini, Francesco
AU - Dubois, Léonard
AU - Bazzani, Davide
AU - Thomas, Andrew Maltez
AU - Mirzayi, Chloe
AU - Khleborodova, Asya
AU - Oh, Sehyun
AU - Hine, Rachel
AU - Bonnett, Christopher
AU - Capdevila, Joan
AU - Danzanvilliers, Serge
AU - Giordano, Francesca
AU - Geistlinger, Ludwig
AU - Waldron, Levi
AU - Davies, Richard
AU - Hadjigeorgiou, George
AU - Wolf, Jonathan
AU - Ordovás, José M.
AU - Gardner, Christopher
AU - Franks, Paul W.
AU - Chan, Andrew T.
AU - Huttenhower, Curtis
AU - Spector, Tim D.
AU - Segata, Nicola
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature America, Inc.
PY - 2021/2
Y1 - 2021/2
N2 - The gut microbiome is shaped by diet and influences host metabolism; however, these links are complex and can be unique to each individual. We performed deep metagenomic sequencing of 1,203 gut microbiomes from 1,098 individuals enrolled in the Personalised Responses to Dietary Composition Trial (PREDICT 1) study, whose detailed long-term diet information, as well as hundreds of fasting and same-meal postprandial cardiometabolic blood marker measurements were available. We found many significant associations between microbes and specific nutrients, foods, food groups and general dietary indices, which were driven especially by the presence and diversity of healthy and plant-based foods. Microbial biomarkers of obesity were reproducible across external publicly available cohorts and in agreement with circulating blood metabolites that are indicators of cardiovascular disease risk. While some microbes, such as Prevotella copri and Blastocystis spp., were indicators of favorable postprandial glucose metabolism, overall microbiome composition was predictive for a large panel of cardiometabolic blood markers including fasting and postprandial glycemic, lipemic and inflammatory indices. The panel of intestinal species associated with healthy dietary habits overlapped with those associated with favorable cardiometabolic and postprandial markers, indicating that our large-scale resource can potentially stratify the gut microbiome into generalizable health levels in individuals without clinically manifest disease.
AB - The gut microbiome is shaped by diet and influences host metabolism; however, these links are complex and can be unique to each individual. We performed deep metagenomic sequencing of 1,203 gut microbiomes from 1,098 individuals enrolled in the Personalised Responses to Dietary Composition Trial (PREDICT 1) study, whose detailed long-term diet information, as well as hundreds of fasting and same-meal postprandial cardiometabolic blood marker measurements were available. We found many significant associations between microbes and specific nutrients, foods, food groups and general dietary indices, which were driven especially by the presence and diversity of healthy and plant-based foods. Microbial biomarkers of obesity were reproducible across external publicly available cohorts and in agreement with circulating blood metabolites that are indicators of cardiovascular disease risk. While some microbes, such as Prevotella copri and Blastocystis spp., were indicators of favorable postprandial glucose metabolism, overall microbiome composition was predictive for a large panel of cardiometabolic blood markers including fasting and postprandial glycemic, lipemic and inflammatory indices. The panel of intestinal species associated with healthy dietary habits overlapped with those associated with favorable cardiometabolic and postprandial markers, indicating that our large-scale resource can potentially stratify the gut microbiome into generalizable health levels in individuals without clinically manifest disease.
UR - https://www.scopus.com/pages/publications/85100135155
U2 - 10.1038/s41591-020-01183-8
DO - 10.1038/s41591-020-01183-8
M3 - Article
C2 - 33432175
AN - SCOPUS:85100135155
SN - 1078-8956
VL - 27
SP - 321
EP - 332
JO - Nature Medicine
JF - Nature Medicine
IS - 2
ER -