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

• 论著 • 上一篇    下一篇

多囊卵巢综合征患者血清S100A4水平变化及其对多囊卵巢综合征的影响

任玉梅, 章秋, 胡红琳()   

  1. 安徽医科大学第一附属医院 内分泌科, 安徽 合肥 230032
  • 收稿日期:2023-08-25 出版日期:2023-12-20 发布日期:2024-01-30
  • 通讯作者: 胡红琳 E-mail:479375436@qq.com

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

摘要:

目的 检测多囊卵巢综合征(polycystic ovary syndrome, PCOS)患者血清S100A4水平,探讨S100A4 对多囊卵巢综合征发生发展的影响。方法 选取129例于2021年12月—2023年6月之间就诊于安徽医科大学第一附属医院内分泌科门诊,诊断为PCOS的育龄期患者为多囊卵巢综合征组(PCOS组),选取47名同期于安徽医科大学第一附属医院体检中心接受常规体检、月经规律正常并且无高雄激素血症(临床和生化)的健康育龄期女性为正常对照组(NC组)。根据BMI水平将PCOS组分为PCOS-超重组和PCOS-正常体重组;根据血糖水平将PCOS组分为PCOS-正常糖代谢组和PCOS-异常糖代谢组。收集两组临床资料,包括一般资料、S100A4水平及其他生化指标,比较两组临床资料的差异。结果 PCOS组血清S100A4水平高于NC组,差异有统计学意义( P<0.01)。NC组、PCOS-正常组和PCOS-超重组间血清S100A4水平比较,差异有统计学意义( P<0.01);其中PCOS-正常体重组和PCOS-超重组血清S100A4水平高于NC组,差异均有统计学意义( P<0.05)。NC组、PCOS-正常糖代谢组和PCOS-异常糖代谢组血清S100A4水平比较,差异有统计学意义( P<0.01);其中PCOS-正常糖代谢组和PCOS-异常糖代谢组血清S100A4水平高于NC组,差异均有统计学意义( P<0.05)。Spearman相关分析结果显示,血清S100A4水平与HOMA-β呈负相关,与LDL-C呈正相关( P<0.05)。多因素Logistic回归分析显示,S100A4是育龄期女性发生PCOS的影响因素[ O R=1.046,95% C I(1.015,1.078), P<0.05]。ROC曲线:血清S100A4水平预测PCOS的曲线下面积为0.681( P<0.01),其最佳截断值为0.176 ng/ml。结论 PCOS患者血清S100A4升高,并与肥胖、胰岛素抵抗及脂代谢异常有关,参与PCOS的发生发展。

关键词: 多囊卵巢综合征, S100A4, 胰岛素抵抗, 肥胖症, 代谢

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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