Correlation between serum microRNA-222and metabolism of glucose and lipid in women with polycystic ovary syndrome / 中国医师进修杂志

ABSTRACT

Objective:To investigate the relationship between serum microRNA-222(miR-222) and metabolism of glucose and lipid in women with polycystic ovary syndrome(PCOS).Methods:A total of 100 patients with PCOS (PCOS group) were enrolled from July 2018 to July 2020 in Puren Hospital Affiliated of Wuhan University of Science and Technology, and another 85 sterility patients were selected as control group. The levels of total cholesterol (TC), triglycerides (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein (LDL-C), fasting insulin (FINS), fasting plasma glucose (FPG), insulin resistance index (HOMA-IR) as well as serum miR-222 were compared between two groups, and the correlation between serum miR-222 and metabolism of glucose and lipid was analyzed.Results:The levels of TC, TG, LDL-C, FPG, FINS, HOMA-IR, miR-222 in PCOS group were higher than those in the control group (1.30 ± 0.25) mmol/L vs. (1.04 ± 0.21) mmol/L, (4.36 ± 0.91) mmol/L vs. (3.67 ± 0.61) mmol/L, (2.51 ± 0.89) mmol/L vs. (2.13 ± 0.42) mmol/L, (5.34 ± 1.56) mmol/L vs. (4.91 ± 0.84) mmol/L, (11.08 ± 3.83) mU/L vs. (7.49 ± 2.53) mU/L; the level of HDL-C in PCOS group was lower than that in the control group (1.08 ± 0.47) mmol/L vs. (1.53 ± 0.50) mmol/L, and the differences were statistically significant ( P<0.05). The results from Logistic regression analysis showed that the levels of TC, TG, HDL-C, LDL-C, FINS, HOMA-IR, miR-222 were independent risk factors for abnormal of metabolism of glucose and lipid of polycystic ovary syndrome patients ( P<0.05). The correlation analysis showed that miR-222 expression had positive correlation with TC, TG, LDL-C, FINS, HOMA-IR ( r = 0.760, 0.737, 0.769, 0.749, 0.825, P<0.05), and had negative correlation with HDL-C( r = -0.743, P<0.05). Conclusions:The serum miR-222 shows abnormal increase in the PCOS patients, and is closely related to glucose and lipid metabolism. It can be used as a biomarker of abnormal glucose and lipid metabolism.