Department of Surgery, University of Chicago, Chicago, Illinois 60637, USA.
Department of Pharmacology, University of California San Diego, La Jolla, California 92093, USA.
Nature. 2016 Jul 7;535(7610):94-103. doi: 10.1038/nature18850.
Rapid advances in DNA sequencing, metabolomics, proteomics and computational tools are dramatically increasing access to the microbiome and identification of its links with disease. In particular, time-series studies and multiple molecular perspectives are facilitating microbiome-wide association studies, which are analogous to genome-wide association studies. Early findings point to actionable outcomes of microbiome-wide association studies, although their clinical application has yet to be approved. An appreciation of the complexity of interactions among the microbiome and the host's diet, chemistry and health, as well as determining the frequency of observations that are needed to capture and integrate this dynamic interface, is paramount for developing precision diagnostics and therapies that are based on the microbiome.
DNA 测序、代谢组学、蛋白质组学和计算工具的快速发展极大地增加了人们对微生物组的了解,并确定了其与疾病的联系。特别是,时间序列研究和多种分子视角正在促进全微生物组关联研究,这类似于全基因组关联研究。早期的发现指向了全微生物组关联研究的可操作结果,尽管它们的临床应用尚未得到批准。了解微生物组与宿主的饮食、化学和健康之间相互作用的复杂性,以及确定需要观察的频率以捕捉和整合这个动态界面,对于开发基于微生物组的精准诊断和治疗方法至关重要。