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七种胰岛素抵抗指标作为预测美国育龄女性不孕风险生物标志物的潜力:一项横断面研究

Potential of seven insulin resistance indicators as biomarkers to predict infertility risk in U.S. women of reproductive age: a cross-sectional study.

作者信息

Yan Ruihua, Zhang Jiao, Ma Hongyun, Wu Yang, Fan Yang

机构信息

Department of Obstetrics and Gynecology, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan, China.

出版信息

Reprod Biol Endocrinol. 2025 May 24;23(1):77. doi: 10.1186/s12958-025-01416-w.

Abstract

BACKGROUND

Insulin resistance(IR) is a key mechanism underlying both obesity and metabolic syndrome, with significant implications for the onset and progression of female infertility. This study systematically examines the associations between seven insulin resistance indicators and the risk of infertility in U.S. women of reproductive age, while also evaluating the diagnostic value of these indicators in predicting infertility.

METHOD

This cross-sectional study analyzed data from the 2013-2018 National Health and Nutrition Examination Survey (NHANES) to explore the relationship between seven insulin resistance indicators and infertility risk. The indicators included the Metabolic Score for Insulin Resistance (METS-IR), Triglyceride-Glucose Index (TyG), Triglyceride-Glucose-Waist Circumference (TyG-WC), Triglyceride-Glucose-Body Mass Index (TyG-BMI), Triglyceride-Glucose-Waist-to-Height Ratio (TyG-WHtR), Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), and Triglyceride/High-Density Lipoprotein Ratio (TG/HDL). Receiver Operating Characteristic (ROC) curves were used to assess the diagnostic accuracy of each insulin resistance indicator in predicting infertility. Additionally, smooth curve fitting and threshold effect analysis were employed to further explore the relationship between insulin resistance indicators with high diagnostic efficacy and infertility.

RESULTS

This study included 1,100 women aged 20-45, of whom 140 (12.61%) were diagnosed with infertility. The results revealed significant positive correlations between METS-IR, TyG-BMI, TyG-WC, TyG-WHtR, and infertility risk. Specifically, as TyG-WC and TyG-WHtR levels increased, the risk of infertility rose linearly, while METS-IR and TyG-BMI exhibited a nonlinear positive association with infertility risk. No significant correlations were observed between TyG, HOMA-IR, TG/HDL, and infertility. Finally, ROC curve analysis indicated that METS-IR outperformed the other six insulin resistance indicators in predicting infertility risk.

CONCLUSION

METS-IR, TyG-BMI, TyG-WC, and TyG-WHtR are significantly associated with the risk of infertility in U.S. women of reproductive age, with METS-IR demonstrating the highest predictive power. These findings suggest that METS-IR may have substantial clinical utility in evaluating infertility risk.

摘要

背景

胰岛素抵抗(IR)是肥胖和代谢综合征的关键潜在机制,对女性不孕症的发生和发展具有重要影响。本研究系统地考察了七种胰岛素抵抗指标与美国育龄女性不孕风险之间的关联,同时评估了这些指标在预测不孕方面的诊断价值。

方法

这项横断面研究分析了2013 - 2018年美国国家健康与营养检查调查(NHANES)的数据,以探究七种胰岛素抵抗指标与不孕风险之间的关系。这些指标包括胰岛素抵抗代谢评分(METS - IR)、甘油三酯 - 葡萄糖指数(TyG)、甘油三酯 - 葡萄糖 - 腰围(TyG - WC)、甘油三酯 - 葡萄糖 - 体重指数(TyG - BMI)、甘油三酯 - 葡萄糖 - 腰高比(TyG - WHtR)、胰岛素抵抗稳态模型评估(HOMA - IR)以及甘油三酯/高密度脂蛋白比值(TG/HDL)。采用受试者工作特征(ROC)曲线来评估每种胰岛素抵抗指标预测不孕的诊断准确性。此外,运用平滑曲线拟合和阈值效应分析进一步探究具有高诊断效能的胰岛素抵抗指标与不孕之间的关系。

结果

本研究纳入了1100名年龄在20 - 45岁的女性,其中140名(12.61%)被诊断为不孕。结果显示,METS - IR、TyG - BMI、TyG - WC、TyG - WHtR与不孕风险之间存在显著正相关。具体而言,随着TyG - WC和TyG - WHtR水平升高,不孕风险呈线性上升,而METS - IR和TyG - BMI与不孕风险呈非线性正相关。未观察到TyG、HOMA - IR、TG/HDL与不孕之间存在显著相关性。最后,ROC曲线分析表明,在预测不孕风险方面,METS - IR优于其他六种胰岛素抵抗指标。

结论

METS - IR、TyG - BMI、TyG - WC和TyG - WHtR与美国育龄女性的不孕风险显著相关,其中METS - IR的预测能力最强。这些发现表明,METS - IR在评估不孕风险方面可能具有重要的临床应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/534b/12102792/940c2da1c66c/12958_2025_1416_Fig1_HTML.jpg

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