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代谢组学中生物流体分析的最新和潜在进展。

Recent and potential developments of biofluid analyses in metabolomics.

机构信息

National TCM Key Lab of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Ministry of Education, Heping Road 24, Harbin 150040, China

出版信息

J Proteomics. 2012 Feb 2;75(4):1079-88. doi: 10.1016/j.jprot.2011.10.027. Epub 2011 Nov 4.

DOI:10.1016/j.jprot.2011.10.027
PMID:22079244
Abstract

Metabolomics, one of the 'omic' sciences in systems biology, is the global assessment and validation of endogenous small-molecule metabolites within a biologic system. Analysis of these key metabolites in body fluids has become an important role to monitor the state of biological organisms and is a widely used diagnostic tool for disease. A majority of these metabolites are being applied to metabolic profiling of the biological samples, for example, plasma and whole blood, serum, urine, saliva, cerebrospinal fluid, synovial fluid, semen, and tissue homogenates. However, the recognition of the need for a holistic approach to metabolism led to the application of metabolomics to biological fluids for disease diagnostics. A recent surge in metabolomic applications which are probably more accurate than routine clinical practice, dedicated to characterizing the biological fluids. While developments in the analysis of biofluid samples encompassing an important impediment, it must be emphasized that these biofluids are complementary. Metabolomics provides potential advantages that classical diagnostic approaches do not, based on following discovery of a suite of clinically relevant biomarkers that are simultaneously affected by the disease. Emerging as a promising biofocus, metabolomics will drive biofluid analyses and offer great benefits for public health in the long-term.

摘要

代谢组学是系统生物学中“组学”的一个分支,是对生物系统内内源性小分子代谢物进行全面评估和验证。分析这些体液中的关键代谢物已成为监测生物机体状态的重要手段,也是疾病广泛使用的诊断工具。这些代谢物中的大多数被应用于生物样本的代谢组学分析,例如血浆和全血、血清、尿液、唾液、脑脊液、滑液、精液和组织匀浆。然而,人们认识到需要采用整体方法来研究代谢,这导致代谢组学被应用于生物体液疾病诊断。代谢组学应用的最新激增可能比常规临床实践更准确,专门用于描述生物体液的特征。虽然生物流体样本分析的发展包含了一个重要的障碍,但必须强调的是,这些生物流体是互补的。代谢组学提供了经典诊断方法所不具备的潜在优势,基于同时受疾病影响的一系列临床相关生物标志物的发现。代谢组学作为一个有前途的生物焦点正在出现,它将推动生物流体分析,并为长期的公共健康带来巨大利益。

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