Metabolomics, a promising approach to translational research in cardiology

Martino Deidda , Cristina Piras , Pier Paolo Bassareo , Christian Cadeddu Dessalvi , Giuseppe Mercuro
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引用次数: 43

Abstract

The metabolome is the complete set of metabolites found in a biological cell, tissue, organ or organism, representing the end products of cellular processes. Metabolomics is the systematic study of small-molecule metabolite profiles produced by specific cellular processes. mRNA gene expression data and proteomic analyses do not show the complexity of physiopathological processes that occur in a cell, tissue or organism. Metabolic profiling, in contrast, represents a paradigm shift in medical research from approaches that focus on a limited number of enzymatic reactions or single pathways, with the goal of capturing the complexity of metabolic networks.

In this article, we will provide a description of metabolomics in comparison with other, better known “omics” disciplines such as genomics and proteomics. In addition, we will review the current rationale for the implementation of metabolomics in cardiology, its basic methodology and the available data from human studies in this discipline. The topics covered will delineate the importance of being able to use the metabolomic information to understand the mechanisms of diseases from the perspective of systems biology, and as a non-invasive approach to the diagnosis, grading and treatment of cardiovascular diseases.

代谢组学,一种很有前途的心脏病学转化研究方法
代谢组是在生物细胞、组织、器官或有机体中发现的全套代谢物,代表细胞过程的最终产物。代谢组学是对特定细胞过程产生的小分子代谢物谱的系统研究。mRNA基因表达数据和蛋白质组学分析不能显示细胞、组织或有机体中发生的生理病理过程的复杂性。相比之下,代谢谱分析代表了医学研究的范式转变,从专注于有限数量的酶促反应或单一途径的方法,到捕捉代谢网络的复杂性的目标。在这篇文章中,我们将提供代谢组学与其他更知名的“组学”学科(如基因组学和蛋白质组学)的比较描述。此外,我们将回顾目前在心脏病学中实施代谢组学的基本原理,其基本方法以及该学科中人体研究的可用数据。所涵盖的主题将描述能够从系统生物学的角度使用代谢组学信息来理解疾病机制的重要性,以及作为心血管疾病诊断,分级和治疗的非侵入性方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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