基于毛细管电泳质谱的代谢组学

A. Buko
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引用次数: 10

摘要

自十多年前首次正式定义以来,代谢组学,或生物系统中存在的所有代谢物的综合分析,吸引了学术界,工业界和政府实验室对临床研究越来越多的兴趣。这在生物标志物和药物开发应用中最为普遍,在使用组学技术发现和开发新的诊断、预后和治疗方案方面发生了相当大的变化。此外,包括癌症在内的许多慢性疾病表明与代谢密切相关,甚至有明确的代谢原因。与基因组学和蛋白质组学等其他组学学科一起,代谢组学在个性化医疗的实施中发挥着关键作用;为个人设计的医疗保健策略设计的循证医学。反过来,生物标志物的发现和对生化途径的理解通常依赖于多模式方法。在这些模式中,人们对基于CE-MS的开发和临床开发的实施越来越感兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capillary electrophoresis mass spectrometry based metabolomics
Since its first formal definition more than a decade ago, metabolomics, or, the comprehensive analysis of all metabolites present within a biological system, has attracted growing interest in clinical research by academia, industry and government labs. This is most prevalent in biomarker and drug development applications where a considerable change has been witnessed in how new diagnoses, prognoses, and therapeutic options are being discovered and developed using omic technologies. Moreover, many chronic diseases suggest a strong metabolic involvement or even a clear metabolic cause, including cancer. Together with the other omic disciplines, including genomics and proteomics, metabolomics plays a key role in the implementation of personalized medicine; evidence-based medicine designed for individually designed healthcare strategies. In turn, biomarker discovery and the understanding of biochemical pathways typically rely on a multimodal approach. Among these modalities, there continues to be a growing interest in CE-MS based development and implementation in clinical development.
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