Xu Wenjuan, Huang Yuhong, Wang Longxing, Yang Qianxu, Xiao Hongbin, Zhang Deqin
Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
Se Pu. 2010 Jun;28(6):547-50. doi: 10.3724/sp.j.1123.2010.00547.
A simple metabolic profiling approach for quantitative analysis of free fatty acids (FFAs) in human plasma by high performance liquid chromatography was described and validated, using alpha-bromoacetophenone as the derivative reagent and heptadecanoic acid (C(17:0)) as the internal standard. The quantitations of 6 predominant FFAs and 6 trace FFAs were achieved. Plasma fatty acid metabolic profiling of 75 diabetic patients was investigated, and then analyzed by multivariate statistical analysis. The linear discriminant analysis (LDA) model was established and validated for the pattern discrimination between Qi-deficiency and Qi and Yin-deficiency, with the hit ratio 94.3%. Stepwise discriminant analysis (SDA) model indicated that arachidonic acid (C(20:4)) and oleic acid (C(18:1)) contained the important information on the two syndromes above, and can be used as potential biomarkers of traditional Chinese medicine (TCM) syndrome. It is of great significance to systematically study the relationship between fatty acid metabolic profiling and TCM syndrome using metabolomics methods, and to improve the credibility and repeatability of clinical diagnosis and treatment system.
描述并验证了一种通过高效液相色谱对人血浆中游离脂肪酸（FFA）进行定量分析的简单代谢谱分析方法，该方法使用α-溴苯乙酮作为衍生试剂，十七烷酸（C(17:0)）作为内标。实现了6种主要FFA和6种痕量FFA的定量分析。对75例糖尿病患者的血浆脂肪酸代谢谱进行了研究，然后通过多变量统计分析进行分析。建立了线性判别分析（LDA）模型并验证其用于气虚与气阴两虚之间的模式判别，命中率为94.3%。逐步判别分析（SDA）模型表明，花生四烯酸（C(20:4)）和油酸（C(18:1)）包含上述两种证型的重要信息，可作为中医证型的潜在生物标志物。利用代谢组学方法系统研究脂肪酸代谢谱与中医证型之间的关系，提高临床诊疗体系的可信度和可重复性具有重要意义。
