Clinical Focus ›› 2023, Vol. 38 ›› Issue (12): 1078-1085.doi: 10.3969/j.issn.1004-583X.2023.12.004

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Effect of serum s100A4 levels on polycystic ovary syndrome in patients with polycystic ovary syndrome

Ren Yumei, Zhang Qiu, Hu Honglin()   

  1. Department of Endocrinology,the First Affiliated Hospital of Anhui Medical University,Hefei 230032,China
  • Received:2023-08-25 Online:2023-12-20 Published:2024-01-30
  • Contact: Hu Honglin E-mail:479375436@qq.com

Abstract:

Objective To detect serum S100A4 levels in patients with polycystic ovary syndrome (PCOS) and explore the effects of S100A4 on the development. Methods One hundred twenty-nine women of childbearing age with PCOS were enrolled into PCOS group from December 2021 to June 2023 at the Department of Endocrinology of the First Affiliated Hospital of Anhui Medical University, and 47 healthy women of childbearing age with regular menstrual cycles and no hyperandrogenemia, who underwent routine medical examinations at the hospital in the same period, were as the normal control group (NC group). According to the levels of body mass index (BMI) and glucose metabolism, the PCOS group was assigned into PCOS-over BIM group, PCOS-normal BIM group, PCOS-normal glucose metabolism group and PCOS-abnormal glucose metabolism group, respectively. The general data, S100A4 levels, and other biochemical indicators were collected, and the differences of clinical data between groups were compared. Results The serum S100A4 level of PCOS group was significantly higher than that of the NC group ( P<0.01). There was a significant difference in serum S100A4 levels amongNC group, PCOS-normal BIM group and PCOS-over BIM group ( P<0.01), which was significantly higher in the latter two groups than that of NC group ( P<0.05). There was a significant difference in serum S100A4 levels among NC group, PCOS-normal glucose metabolism group and PCOS-abnormal glucose metabolism group( P<0.01), which was significantly higher in the latter two groups than that of NC group ( P<0.05). Spearman related analysis results showed that serum S100A4 levels were negative correlation with homeostasis model assessment- β (HOMA-β) and positively correlated with low-density lipoprotein cholesterol (LDL-C) ( P<0.05). Multi-factor logistic regression analysis showed that S100A4 was the influencing factor for the occurrence of PCOS in women of childbearing age ( O R=1.046, 95% C I: 1.015-1.078, P<0.05). The area under receiver operating characteristic (ROC) curve for serum S100A4 levels predicting PCOS was 0.681, and its optimal cutoff value was 0.176 ng/ml ( P<0.01). Conclusion The increase in serum S100A4 in PCOS patients was related to obesity, insulin resistance, and abnormal lipid metabolism, and involving the development of PCOS.

Key words: polycystic ovary syndrome, S100A4, insulin resistance, obesity, metabolize

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