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采用气相色谱-质谱联用技术对血浆酯化和非酯化脂肪酸代谢物进行分析及其在糖尿病和糖尿病肾病研究中的应用。

Plasma esterified and non-esterified fatty acids metabolic profiling using gas chromatography-mass spectrometry and its application in the study of diabetic mellitus and diabetic nephropathy.

机构信息

School of Pharmaceutics, East-China University of Science & Technology, Shanghai, China.

出版信息

Anal Chim Acta. 2011 Mar 9;689(1):85-91. doi: 10.1016/j.aca.2011.01.034. Epub 2011 Jan 22.

Abstract

Using gas chromatography-mass spectrometry (GC-MS), a new metabolic profiling method was established to assess the levels of non-esterified fatty acids (NEFAs) and esterified fatty acids (EFAs) in plasma. The extraction method was simple and robust without removing protein process. With this method 25 fatty acids (FAs), both EFAs and NEFAs, can be recognized simultaneously with only 10 μL plasma. 15 of the 25 can be precisely quantified. The method was validated and then applied into clinical metabonomics research. Five clinical groups including 150 cases were involved. The relationship between FA levels and diabetic mellitus (DM) as well as diabetic nephropathy (DN) pathology was speculated. Furthermore, the possible pathological causes and effects were discussed in detail. Potential biomarkers (p value <0.01) were screened with Student's t-test. With the application of partial least squares-discriminant analysis (PLS-DA), different stages were distinguished. The result may be useful for the pathology study of metabolic syndromes, and may also be helpful for monitoring the progression of DM and DN.

摘要

采用气相色谱-质谱联用(GC-MS)技术,建立了一种新的代谢组学分析方法,用于评估血浆中非酯化脂肪酸(NEFAs)和酯化脂肪酸(EFAs)的水平。该提取方法简单、稳健,无需进行蛋白质去除处理。使用该方法,仅需 10 μL 血浆即可同时识别 25 种脂肪酸(FA),包括 EFAs 和 NEFAs。其中 15 种可以进行精确定量。该方法经过验证后,被应用于临床代谢组学研究。涉及五个临床组,共 150 例。推测了 FA 水平与糖尿病(DM)以及糖尿病肾病(DN)病理之间的关系。此外,还详细讨论了可能的病理原因和影响。采用学生 t 检验筛选潜在生物标志物(p 值<0.01)。通过偏最小二乘判别分析(PLS-DA),可以区分不同阶段。该结果可能有助于代谢综合征的病理学研究,也可能有助于监测 DM 和 DN 的进展。

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