Romero María José Ortuño, Na Daxiang
Department of Genetics, Yale School of Medicine, New Haven, United States.
Department of Cellular and Molecular Physiology, Yale School of Medicine, New Haven, CT, United States.
Adv Genet. 2025;113:102-145. doi: 10.1016/bs.adgen.2024.11.001. Epub 2024 Dec 16.
Omics technologies are transforming our understanding of disease mechanisms and reshaping clinical practice. By enabling high-throughput, unbiased data collection at various molecular levels - including genes (genomics), mRNA (transcriptomics), proteins (proteomics), and metabolites (metabolomics) - omics approaches offer a comprehensive view of biological states in both health and disease. Among these, metabolomics has emerged as a pivotal tool, rapidly evolving beyond diagnostics to become a cutting-edge technique for pinpointing metabolites that regulate key physiological processes. This chapter reviews the advances in metabolomics, its integration with other omics approaches, and its applications, particularly emphasizing energy homeostasis. By incorporating metabolomic insights into physiology, we move closer to an integrative understanding of biological systems, laying the groundwork for novel therapies to combat obesity and related metabolic disorders.
组学技术正在改变我们对疾病机制的理解,并重塑临床实践。通过在包括基因(基因组学)、mRNA(转录组学)、蛋白质(蛋白质组学)和代谢物(代谢组学)等各种分子水平上实现高通量、无偏的数据收集,组学方法提供了健康和疾病状态下生物状态的全面视图。其中,代谢组学已成为一种关键工具,迅速从诊断领域发展成为一种前沿技术,用于确定调节关键生理过程的代谢物。本章回顾了代谢组学的进展、它与其他组学方法的整合及其应用,特别强调能量稳态。通过将代谢组学的见解融入生理学,我们更接近于对生物系统的综合理解,为对抗肥胖和相关代谢紊乱的新疗法奠定基础。