Zhang Xiao-Jing, Huang Li-Li, Su Huanxing, Chen Ya-Xiao, Huang Jia, He Chengwei, Li Peng, Yang Dong-Zi, Wan Jian-Bo
State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao, PR China.
Department of Obstetrics and Gynecology, Sun Yat-Sen Memorial Hospital, Guangzhou, China.
J Pharm Biomed Anal. 2014 Jul;95:85-92. doi: 10.1016/j.jpba.2014.02.014. Epub 2014 Mar 2.
Polycystic ovary syndrome (PCOS), a heterogeneous endocrine and metabolic disorder, is the leading cause of infertility in women of reproductive age. Insulin resistance (IR) occurs in 50-70% of women with PCOS. In this study, we aimed to characterize the plasma phospholipid fatty acid profile for PCOS patients with and without IR, as well as for the early prognosis of PCOS and its IR complication. A gas chromatography-mass spectrometry (GC-MS) followed by multivariate statistical analysis was established to globally characterize the phospholipid fatty acid profiles in plasma from non-IR PCOS, IR PCOS, and eligible healthy controls, and subsequently discovered fatty acid biomarkers. A total of 22 fatty acids were identified and quantified. Their proportions varied among three groups, suggesting each group has its own fatty acid pattern. Orthogonal partial least squares discriminant analysis (OPLS-DA) according to their fatty acid profiles showed that 29 tested samples could be clearly differentiated according to groups. More importantly, nervonic acid (C24:1 n-9) and dihomo-γ-linolenic acid (C20:3 n-6) were identified as the potential fatty acid biomarkers of PCOS and its IR complication, respectively, for their most contribution to group separation. Pearson correlation analysis indicated that C24:1 n-9 and C20:3 n-6 were well correlated with clinical characteristics of PCOS and IR indicators, respectively. These findings demonstrated that GC-MS-based plasma phospholipid fatty acid profile might provide a complementary approach for clinical diagnosis of PCOS and its IR complication.
多囊卵巢综合征（PCOS）是一种异质性内分泌和代谢紊乱疾病，是育龄女性不孕的主要原因。50%-70%的PCOS女性存在胰岛素抵抗（IR）。在本研究中，我们旨在描绘有无IR的PCOS患者的血浆磷脂脂肪酸谱，以及PCOS及其IR并发症的早期预后情况。建立了气相色谱-质谱联用（GC-MS）并结合多变量统计分析，以全面描绘非IR PCOS、IR PCOS和合格健康对照者血浆中的磷脂脂肪酸谱，随后发现脂肪酸生物标志物。共鉴定并定量了22种脂肪酸。它们在三组中的比例各不相同，表明每组都有其独特的脂肪酸模式。根据脂肪酸谱进行的正交偏最小二乘判别分析（OPLS-DA）显示，29个测试样本可根据组别清晰区分。更重要的是，神经酸（C24:1 n-9）和二高-γ-亚麻酸（C20:3 n-6）分别被鉴定为PCOS及其IR并发症的潜在脂肪酸生物标志物，因为它们对组间分离的贡献最大。Pearson相关性分析表明，C24:1 n-9和C20:3 n-6分别与PCOS的临床特征和IR指标密切相关。这些发现表明，基于GC-MS的血浆磷脂脂肪酸谱可能为PCOS及其IR并发症的临床诊断提供一种补充方法。
