Center for Precision Medicine, Department of Internal Medicine, Section of Molecular Medicine, 12279Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, USA.
Biol Res Nurs. 2020 Oct;22(4):561-576. doi: 10.1177/1099800420903083. Epub 2020 Feb 4.
Big data-driven omics research has led to a steep rise in investigations involving two of the most functional omes, the metabolome and microbiome. The former is touted as the closest to the phenotype, and the latter is implicated in general well-being and a plethora of human diseases. Although some research publications have integrated the concepts of the two domains, most focus their analyses on evidence solely originating from one or the other. With a growing interest in connecting the microbiome and metabolome in the context of disease, researchers must also appreciate the disconnect between the two domains. In the present review, drawing examples from the current literature, tools, and resources, I discuss the connections between the microbiome and metabolome and highlight challenges and opportunities in linking them together for the basic, translational, clinical, and nursing research communities.
基于大数据的组学研究推动了对两个最具功能的组学（代谢组学和微生物组学）的研究急剧增加。前者被吹捧为最接近表型的组学，而后者则与整体健康和多种人类疾病有关。尽管一些研究出版物已经整合了这两个领域的概念，但大多数分析都仅基于来自一个或另一个领域的证据。随着人们对在疾病背景下连接微生物组学和代谢组学的兴趣日益浓厚，研究人员还必须认识到这两个领域之间的脱节。在本综述中，我通过当前文献、工具和资源中的示例，讨论了微生物组学和代谢组学之间的联系，并强调了为基础、转化、临床和护理研究界将它们联系起来所面临的挑战和机遇。
