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代谢组学与脂质组学相遇:评估代谢的小分子成分。

Metabolomics meets lipidomics: Assessing the small molecule component of metabolism.

作者信息

Gallart-Ayala Hector, Teav Tony, Ivanisevic Julijana

机构信息

Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.

出版信息

Bioessays. 2020 Dec;42(12):e2000052. doi: 10.1002/bies.202000052.

Abstract

Metabolomics, including lipidomics, is emerging as a quantitative biology approach for the assessment of energy flow through metabolism and information flow through metabolic signaling; thus, providing novel insights into metabolism and its regulation, in health, healthy ageing and disease. In this forward-looking review we provide an overview on the origins of metabolomics, on its role in this postgenomic era of biochemistry and its application to investigate metabolite role and (bio)activity, from model systems to human population studies. We present the challenges inherent to this analytical science, and approaches and modes of analysis that are used to resolve, characterize and measure the infinite chemical diversity contained in the metabolome (including lipidome) of complex biological matrices. In the current outbreak of metabolic diseases such as cardiometabolic disorders, cancer and neurodegenerative diseases, metabolomics appears to be ideally situated for the investigation of disease pathophysiology from a metabolite perspective.

摘要

代谢组学,包括脂质组学,正作为一种定量生物学方法兴起,用于评估代谢过程中的能量流动以及代谢信号传导中的信息流;因此,它为健康、健康衰老和疾病状态下的新陈代谢及其调控提供了全新的见解。在这篇前瞻性综述中,我们概述了代谢组学的起源、它在这个后基因组生物化学时代的作用,以及它在从模型系统到人群研究中用于探究代谢物作用和(生物)活性的应用。我们阐述了这一分析科学所固有的挑战,以及用于解析、表征和测量复杂生物基质代谢组(包括脂质组)中无限化学多样性的分析方法和模式。在当前诸如心脏代谢紊乱、癌症和神经退行性疾病等代谢性疾病的爆发中,代谢组学似乎非常适合从代谢物角度研究疾病病理生理学。

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