微生物群
口腔微生物群
生物沉积
人体微生物群
前瞻性队列研究
医学
生物标志物
队列
生物
人口
生命银行
数据科学
生物信息学
环境卫生
病理
计算机科学
遗传学
作者
Christine Everett,Chengchen Li,Jeremy E. Wilkinson,Long H. Nguyen,Lauren J. McIver,Kerry L. Ivey,Jacques Izard,Natalia Palacios,A. Heather Eliassen,Walter C. Willett,Alberto Ascherio,Qi Sun,Shelley S. Tworoger,Andrew T. Chan,Wendy S. Garrett,Curtis Huttenhower,Eric B. Rimm,Mingyang Song
出处
期刊:Nature Protocols
[Nature Portfolio]
日期:2021-04-21
卷期号:16 (6): 2724-2731
被引量:25
标识
DOI:10.1038/s41596-021-00519-z
摘要
A lack of prospective studies has been a major barrier for assessing the role of the microbiome in human health and disease on a population-wide scale. To address this significant knowledge gap, we have launched a large-scale collection targeting fecal and oral microbiome specimens from 20,000 women within the Nurses’ Health Study II cohort (the Microbiome Among Nurses study, or Micro-N). Leveraging the rich epidemiologic data that have been repeatedly collected from this cohort since 1989; the established biorepository of archived blood, urine, buccal cell, and tumor tissue specimens; the available genetic and biomarker data; the cohort’s ongoing follow-up; and the BIOM-Mass microbiome research platform, Micro-N furnishes unparalleled resources for future prospective studies to interrogate the interplay between host, environmental factors, and the microbiome in human health. These prospectively collected materials will provide much-needed evidence to infer causality in microbiome-associated outcomes, paving the way toward development of microbiota-targeted modulators, preventives, diagnostics and therapeutics. Here, we describe a generalizable, scalable and cost-effective platform used for stool and oral microbiome specimen and metadata collection in the Micro-N study as an example of how prospective studies of the microbiome may be carried out. This Perspective from the Harvard Chan Microbiome in Public Health Center describes a generalizable and scalable approach to stool and oral microbiome and metadata collection in the Micro-N (Microbiome Among Nurses) study, to show how to carry out prospective studies of the microbiome.
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