Wei Lili, Ma Baoman, Wu Dan, Wang Le, He Xueting, Gong Ying, Lin Chujuan
Guangxi University of Traditional Chinese Medicine, Zhuangyi Clinical Medical College, Nanning, China.
Guangxi International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, China.
Prz Menopauzalny. 2025 Mar;24(1):15-24. doi: 10.5114/pm.2025.150594. Epub 2025 May 12.
Premature ovarian insufficiency (POI), a cause of hormonal imbalance and infertility, may be linked to sleep patterns, but the exact relationship is unclear. This study uses Mendelian randomisation (MR) to investigate the causal link between sleep traits and POI, aiming to uncover new treatment methods.
Data from genome-wide association studies were used to examine 11 sleep traits related to POI. The primary method for assessing causality was the inverse variance weighted (IVW) approach, with MR-Egger regression as a secondary analysis. Sensitivity analyses included Cochrane's Q statistic, the MR-Egger intercept test, leave-one-out cross-validation, and funnel plot inspections. A multivariate MR analysis combined significant exposure factors from 2 independent samples to determine their cumulative impact on POI incidence.
The two-sample MR analysis using the IVW method showed a positive causal link between sleep duration and POI (p = 0.037). A negative causal link was found between sleep chronotype and POI (p = 0.032). Cochrane's Q test showed no significant heterogeneity, and MR-Egger intercept analysis indicated no directional pleiotropy. Leave-one-out analysis confirmed the robustness of the findings, and funnel plots showed symmetrical distribution, suggesting no bias. Multivariate MR analysis found no combined causal effect of sleep duration and chronotype on POI risk.
Our study suggests a causal link between sleep traits and POI through Mendelian randomisation. Enhancing sleep habits could reduce POI risk, highlighting sleep hygiene's role in women's reproductive health and opening avenues for new prevention and treatment methods.
卵巢早衰（POI）是激素失衡和不孕的一个原因，可能与睡眠模式有关，但确切关系尚不清楚。本研究采用孟德尔随机化（MR）方法来探究睡眠特征与POI之间的因果关系，旨在发现新的治疗方法。
利用全基因组关联研究的数据来研究与POI相关的11种睡眠特征。评估因果关系的主要方法是逆方差加权（IVW）法，以MR-Egger回归作为次要分析。敏感性分析包括Cochrane's Q统计量、MR-Egger截距检验、留一法交叉验证和漏斗图检验。多变量MR分析结合了来自2个独立样本的显著暴露因素，以确定它们对POI发病率的累积影响。
使用IVW方法的两样本MR分析显示睡眠时间与POI之间存在正因果关系（p = 0.037）。睡眠生物钟类型与POI之间存在负因果关系（p = 0.032）。Cochrane's Q检验未显示显著的异质性，MR-Egger截距分析表明不存在方向性多效性。留一法分析证实了研究结果的稳健性，漏斗图显示对称分布，表明无偏差。多变量MR分析发现睡眠时间和生物钟类型对POI风险没有联合因果效应。
我们的研究通过孟德尔随机化表明睡眠特征与POI之间存在因果关系。改善睡眠习惯可以降低POI风险，突出了睡眠卫生在女性生殖健康中的作用，并为新的预防和治疗方法开辟了道路。
