Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals.
Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals.
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来自1,098个表型较深的个体的微生物组与宿主代谢和习惯性饮食的关系。
DOI:
10.1038/s41591-020-01183-8
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发表时间:
2021-03
期刊:
影响因子:
82.9
通讯作者:
Segata N
中科院分区:
文献类型:
--
作者:
Asnicar F;Berry SE;Valdes AM;Nguyen LH;Piccinno G;Drew DA;Leeming E;Gibson R;Le Roy C;Khatib HA;Francis L;Mazidi M;Mompeo O;Valles-Colomer M;Tett A;Beghini F;Dubois L;Bazzani D;Thomas AM;Mirzayi C;Khleborodova A;Oh S;Hine R;Bonnett C;Capdevila J;Danzanvilliers S;Giordano F;Geistlinger L;Waldron L;Davies R;Hadjigeorgiou G;Wolf J;Ordovás JM;Gardner C;Franks PW;Chan AT;Huttenhower C;Spector TD;Segata N
The gut microbiome is shaped by diet and influences host metabolism, but these links are complex and can be unique to each individual. We performed deep metagenomic sequencing of >1,100 gut microbiomes from individuals with detailed long-term diet information, as well as hundreds of fasting and same-meal postprandial cardiometabolic blood marker measurements. We found strong associations between microbes and specific nutrients, foods, food groups, and general dietary indices, driven especially by the presence and diversity of healthy and plant-based foods. Microbial biomarkers of obesity were reproducible across cohorts, and blood markers of cardiovascular disease and impaired glucose tolerance were more strongly associated with microbiome structure. While some microbes such as Prevotella copri and Blastocystis spp., were indicators of favorable postprandial glucose metabolism, several species were more directly predictive of postprandial triglycerides and C-peptide. The panel of intestinal species associated with healthy dietary habits overlapped with those associated with favourable cardiometabolic and postprandial markers, indicating our large-scale resource can potentially stratify the gut microbiome into generalizable health levels among individuals without clinically manifest disease.
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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:
64.8
作者:
Arumugam, Manimozhiyan;Raes, Jeroen;Pelletier, Eric;Le Paslier, Denis;Yamada, Takuji;Mende, Daniel R.;Fernandes, Gabriel R.;Tap, Julien;Bruls, Thomas;Batto, Jean-Michel;Bertalan, Marcelo;Borruel, Natalia;Casellas, Francesc;Fernandez, Leyden;Gautier, Laurent;Hansen, Torben;Hattori, Masahira;Hayashi, Tetsuya;Kleerebezem, Michiel;Kurokawa, Ken;Leclerc, Marion;Levenez, Florence;Manichanh, Chaysavanh;Nielsen, H. Bjorn;Nielsen, Trine;Pons, Nicolas;Poulain, Julie;Qin, Junjie;Sicheritz-Ponten, Thomas;Tims, Sebastian;Torrents, David;Ugarte, Edgardo;Zoetendal, Erwin G.;Wang, Jun;Guarner, Francisco;Pedersen, Oluf;de Vos, Willem M.;Brunak, Soren;Dore, Joel;Weissenbach, Jean;Ehrlich, S. Dusko;Bork, Peer
通讯作者:
Bork, Peer
影响因子:
9.2
作者:
Dhakan, D. B.;Maji, A.;Sharma, V. K.
通讯作者:
Sharma, V. K.
影响因子:
56.9
作者:
Falony, Gwen;Joossens, Marie;Raes, Jeroen
通讯作者:
Raes, Jeroen
影响因子:
4.8
作者:
Guenther, Patricia M.;Casavale, Kellie O.;Reedy, Jill;Kirkpatrick, Sharon I.;Hiza, Hazel A. B.;Kuczynski, Kevin J.;Kahle, Lisa L.;Krebs-Smith, Susan M.
通讯作者:
Krebs-Smith, Susan M.