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

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
复制标题

气相色谱-质谱法血浆酯化和非酯化脂肪酸代谢分析及其在糖尿病和糖尿病肾病研究中的应用

DOI:
10.1016/j.aca.2011.01.034
复制
发表时间:
2011-03-09
影响因子:
6.2
通讯作者:
Luo, Guo-An
Luo, Guo-An
中科院分区:
化学1区
文献类型:
--
作者:
Han, Li-Da;Xia, Jian-Fei;Luo, Guo-An

文献摘要

被引文献

相似文献

采用气相色谱-质谱(GC-MS)技术,建立了一种新的代谢分析方法,用于评估血浆中非酯化脂肪酸(NEFA)和酯化脂肪酸(EFA)的水平。该提取方法简单耐用,无需去除蛋白质工艺。用这种方法,25种脂肪酸(FA),EFA和NEFA,可以同时识别只有10 μ L血浆。25个中的15个可以精确量化。该方法经过验证,并应用于临床代谢组学研究。共分5个临床组150例。推测FA水平与糖尿病(DM)及糖尿病肾病(DN)病理的关系。并对可能的病理原因和影响进行了详细的讨论。用学生t检验筛选潜在的生物标志物(p值< 0.01)。应用偏最小二乘判别分析(PLS-DA),区分不同阶段。本研究结果可为代谢综合征的病理学研究及监测DM、DN的进展提供参考。(C)2011爱思唯尔有限公司版权所有。
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 mu L 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. (C) 2011 Elsevier B.V. All rights reserved.