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Metabolomics enables precision medicine: A White Paper Community Perspective

机译:代谢组学实现精准医学:白皮书社区观点

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摘要

Introduction: Background to metabolomicsMetabolomics is the comprehensive study of the metabolome, the repertoire of biochemicals (or small molecules) present in cells, tissues, and body fluids. The study of metabolism at the global or “-omics” level is a rapidly growing field that has the potential to have a profound impact upon medical practice. At the center of metabolomics, is the concept that a person’s metabolic state provides a close representation of that individual’s overall health status. This metabolic state reflects what has been encoded by the genome, and modified by diet, environmental factors, and the gut microbiome. The metabolic profile provides a quantifiable readout of biochemical state from normal physiology to diverse pathophysiologies in a manner that is often not obvious from gene expression analyses. Today, clinicians capture only a very small part of the information contained in the metabolome, as they routinely measure only a narrow set of blood chemistry analytes to assess health and disease states. Examples include measuring glucose to monitor diabetes, measuring cholesterol and high density lipoprotein/low density lipoprotein ratio to assess cardiovascular health, BUN and creatinine for renal disorders, and measuring a panel of metabolites to diagnose potential inborn errors of metabolism in neonates.
机译:简介:代谢组学的背景代谢组学是对代谢组,细胞,组织和体液中存在的生物化学物质(或小分子)库的全面研究。在全球或“组学”水平上对代谢的研究是一个快速发展的领域,可能对医学实践产生深远影响。代谢组学的中心是一个概念,即一个人的代谢状态提供了该人总体健康状况的紧密代表。这种代谢状态反映了基因组已编码,饮食,环境因素和肠道微生物组对其进行了修饰。代谢谱以从基因表达分析通常不明显的方式,提供了从正常生理学到多种病理生理学的可量化的生化状态读数。如今,临床医生仅捕获代谢组学中所包含信息的一小部分,因为他们通常仅测量一小组狭窄的血液化学分析物以评估健康和疾病状态。例子包括测量葡萄糖以监测糖尿病,测量胆固醇和高密度脂蛋白/低密度脂蛋白比以评估心血管健康,BUN和肌酐用于肾脏疾病,以及测量一组代谢物以诊断新生儿潜在的先天性代谢错误。

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