Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Department of Twin Research, King's College London, London, UK.
Nat Med. 2023 Mar;29(3):551-561. doi: 10.1038/s41591-023-02260-4. Epub 2023 Mar 17.
Cardiometabolic diseases have become a leading cause of morbidity and mortality globally. They have been tightly linked to microbiome taxonomic and functional composition, with diet possibly mediating some of the associations described. Both the microbiome and diet are modifiable, which opens the way for novel therapeutic strategies. High-throughput omics techniques applied on microbiome samples (meta-omics) hold the unprecedented potential to shed light on the intricate links between diet, the microbiome, the metabolome and cardiometabolic health, with a top-down approach. However, effective integration of complementary meta-omic techniques is an open challenge and their application on large cohorts is still limited. Here we review meta-omics techniques and discuss their potential in this context, highlighting recent large-scale efforts and the novel insights they provided. Finally, we look to the next decade of meta-omics research and discuss various translational and clinical pathways to improving cardiometabolic health.
心血管代谢疾病已成为全球发病率和死亡率的主要原因。它们与微生物组的分类和功能组成密切相关,饮食可能介导了一些已描述的关联。微生物组和饮食都是可改变的,这为新的治疗策略开辟了道路。应用于微生物组样本的高通量组学技术(宏基因组学)具有前所未有的潜力,可以从自上而下的方法阐明饮食、微生物组、代谢组与心血管代谢健康之间的复杂联系。然而,有效整合互补的宏基因组学技术仍然是一个开放的挑战,它们在大样本量上的应用仍然有限。本文综述了宏基因组学技术,并讨论了它们在这方面的应用潜力,强调了最近的大规模研究努力及其提供的新见解。最后,我们展望了下一个十年的宏基因组学研究,并讨论了改善心血管代谢健康的各种转化和临床途径。