Analysis of Endocrine and Metabolic Indexes in Non-Obese Patients with Polycystic Ovary Syndrome and Its Compare with Obese Patients

PURPOSE: To compare the endocrine and metabolic indexes of obese and normal body mass index (BMI) polycystic ovary syndrome (PCOS) patients, and explore factors affecting the pathogenesis and progression of PCOS. METHODS: This study included obese (n=79) and normal BMI (n=40) PCOS patients, and obese (n=30) and normal BMI (n=30) non-PCOS controls. Blood glucose, insulin (INS), blood lipids, sex hormones, and other metabolic and endocrine indicators were measured, and the correlations between the indicators were analyzed. RESULTS: HOMA-IR, 0min INS, 60min INS, 120min INS, 180min INS, FAI, TG, TC, LDL-C and sd-LDL in obese PCOS group were higher, while SHBG, LH, LH/FSH and HDL-C were lower than those in normal weight PCOS group (P <0.05). 120min PBG, HOMA-IR, FAI, T, LH, LH/FSH, AMH, TC and LDL-C in obese PCOS group were higher than those in obese control group (P <0.05). 0min PBG, 60min PBG, 120min PBG, 180min PBG, 0min INS, 60min INS, 120min INS, 180min INS, HOMA-IR, LH, LH/FSH and T in normal weight PCOS group were higher than those in normal weight control group (P <0.05). In both normal weight group and obesity group, HOMA-IR entered the regression equation with FAI as dependent variable, and the absolute value of HOMA-IR standardized partial regression coefficient was higher than that of hs-CRP and AMH. In PCOS patients, FAI in the obese and non-obese PCOS groups was positively correlated with HOMA-IR. CONCLUSION: Endocrine metabolic disorders in women with PCOS were more obvious than that in women with non-PCOS with matched BMI. The abnormality of glucose and lipid metabolism in obese PCOS patients is more serious than that in PCOS patients with normal BMI. Both obese and normal BMI PCOS patients were affected by hyperinsulinemia, and IR may play a key role in the pathogenesis and development of PCOS.