The Study Of Plasma Fatty Acid Metabolic Profiles Of Polycystic Ovarian Syndrome Patients

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder of reproductive-aged women, which is the main reason of anovulatory infertility. The features of PCOS are hyperandrogenism and continued anovulation, and the incidence of PCOS in reproductive-aged women is as high as5%-10%. Rently research showed that PCOS usually accompanied by abnormal glucose metabolism, but the pathogeny of PCOS is still not clear. Metabolomics is the study of all the changes in metabolites generated by environmental or genetic changes. GC/MS technique coupled with methyl esterification method weas used to construct the metabolic profiles of plasma fatty acids for PCOS patients and healthy women. Then chemometrics methods, such as pattern recognition, were adopted to make a comprehensive metabonomics study.(1) The plasma esterified and free fatty acids were accurately qualitatively and quantitatively analyzed using the above method. The PCA、PLS-LDA and MCTree models were constructed to discriminate PCOS patients and healthy women, using the fatty acid data combined with four relevant parameters (plasma testosterone (T), body mass index(BMI), waist hip ratio(WHR), homeostasis model assessment-estimated insulin resistance(HOMA-IR)). At the same time, the key vaviables were screened out by MCTree method to constuced the final discriminant model.(2) PCOS patients were divided into two subtypes according to whether the patient is obese. Our aim is to look for the link between obesity and fatty acid metabolic disturbance in PCOS patients. Subwindow permutation analysis (SPA) was employed to screened out the biomarkers that discriminate obesity/healthy and non-obesity/healthy, respectively. The results show that most biomarkers are the same, and their change trends are also the same, therefore, we think that the effect of fatty acid metabolic disturbance on the pathogeny of PCOS is probably independent of obesity.