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使用气相色谱/质谱联用技术鉴定自闭症儿童尿液中的有机酸作为潜在生物标志物。

Identification of organic acids as potential biomarkers in the urine of autistic children using gas chromatography/mass spectrometry.

机构信息

Institute of General and Ecological Chemistry, Department of Chemistry, Lodz University of Technology, Żeromskiego 116, 90-924 Łódź, Poland.

Institute of General and Ecological Chemistry, Department of Chemistry, Lodz University of Technology, Żeromskiego 116, 90-924 Łódź, Poland.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2014 Sep 1;966:70-6. doi: 10.1016/j.jchromb.2014.01.041. Epub 2014 Feb 2.

DOI:10.1016/j.jchromb.2014.01.041
PMID:24565890
Abstract

There is a need to identify metabolic phenotypes in autism as they might each require unique approaches to prevention. Biological markers can help define autism subtypes and reveal potential therapeutic targets. The aim of the study was to identify alterations of small molecular weight compounds and to find potential biomarkers. Gas chromatography/mass spectrometry was employed to evaluate major metabolic changes in low molecular weight urine metabolites of 14 children with autism spectrum disorders vs. 10 non-autistic subjects. The results prove the usefulness of an identified set of 21 endogenous compounds (including 14 organic acids), whose levels are changed in diseased children. Gas chromatography/mass spectrometry method combined with multivariate statistical analysis techniques provide an efficient way of depicting metabolic perturbations of diseases, and may potentially be applicable as a novel strategy for the noninvasive diagnosis and treatment of autism.

摘要

需要在自闭症中识别代谢表型,因为它们可能各自需要独特的预防方法。生物标志物可以帮助定义自闭症亚型并揭示潜在的治疗靶点。本研究的目的是确定小分子化合物的变化,并寻找潜在的生物标志物。气相色谱/质谱法用于评估 14 名自闭症谱系障碍儿童与 10 名非自闭症儿童的低分子量尿液代谢物中的主要代谢变化。结果证明了一组已鉴定的 21 种内源性化合物(包括 14 种有机酸)的有用性,其水平在患病儿童中发生了变化。气相色谱/质谱法结合多变量统计分析技术为描绘疾病的代谢扰动提供了一种有效的方法,并且可能作为自闭症非侵入性诊断和治疗的新策略具有潜在的应用价值。

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