Nature Medicine ( IF 82.9 ) Pub Date : 2021-01-11 , DOI: 10.1038/s41591-020-01183-8 Francesco Asnicar 1 , Sarah E Berry 2 , Ana M Valdes 3, 4 , Long H Nguyen 5 , Gianmarco Piccinno 1 , David A Drew 5 , Emily Leeming 6 , Rachel Gibson 2 , Caroline Le Roy 6 , Haya Al Khatib 7 , Lucy Francis 7 , Mohsen Mazidi 6 , Olatz Mompeo 6 , Mireia Valles-Colomer 1 , Adrian Tett 1 , Francesco Beghini 1 , Léonard Dubois 1 , Davide Bazzani 1 , Andrew Maltez Thomas 1 , Chloe Mirzayi 8 , Asya Khleborodova 8 , Sehyun Oh 8 , Rachel Hine 7 , Christopher Bonnett 7 , Joan Capdevila 7 , Serge Danzanvilliers 7 , Francesca Giordano 7 , Ludwig Geistlinger 8 , Levi Waldron 8 , Richard Davies 7 , George Hadjigeorgiou 7 , Jonathan Wolf 7 , José M Ordovás 9, 10 , Christopher Gardner 11 , Paul W Franks 12, 13 , Andrew T Chan 5, 13, 14 , Curtis Huttenhower 13, 14 , Tim D Spector 6 , Nicola Segata 1, 15
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.
中文翻译:
来自 1,098 名深度表型个体的微生物组与宿主代谢和习惯性饮食的联系
肠道微生物组由饮食塑造并影响宿主的新陈代谢;但是,这些链接很复杂,并且对每个人来说都是独一无二的。我们对来自 1,098 名参与饮食成分个性化反应试验 (PREDICT 1) 研究的个体的 1,203 种肠道微生物组进行了深度宏基因组测序,该研究提供了详细的长期饮食信息,以及数百项禁食和同餐餐后心脏代谢血液标记物测量可用。我们发现微生物与特定营养素、食物、食物组和一般膳食指数之间存在许多重要关联,这些关联尤其受到健康和植物性食物的存在和多样性的驱动。肥胖的微生物生物标志物在外部公开队列中是可重复的,并且与作为心血管疾病风险指标的循环血液代谢物一致。而一些微生物,如Prevotella copri和Blastocystis spp. 是有利的餐后葡萄糖代谢指标,整体微生物组组成可预测大量心脏代谢血液标志物,包括空腹和餐后血糖、血脂和炎症指标。与健康饮食习惯相关的肠道物种组与与有利的心脏代谢和餐后标志物相关的肠道物种组重叠,表明我们的大规模资源有可能将肠道微生物组分层为没有临床明显疾病的个体的普遍健康水平。