What question did this study set out to answer?

April 19, 2026International Journal of Endocrinology0 citationsOpen Access

Obstructive Sleep Apnea and Female Reproductive Endocrine Diseases: A Mendelian Randomization and Mediation Analysis

ZWZ L WangGeneral Hospital of Shenyang Military Region JQJie QinGeneral Hospital of Shenyang Military Region JWJia WangDalian Medical University

Puntos clave

This study evaluates the causal relationship between obstructive sleep apnea and female reproductive endocrine diseases, particularly polycystic ovary syndrome.
Used Mendelian randomization analysis to evaluate associations.
Analyzed genome-wide association study data from multiple sources including FinnGen and UK Biobank.
Investigated the effect of body mass index on the relationship between OSA and reproductive diseases.
Genetically predicted OSA linked to a higher risk of polycystic ovary syndrome with an odds ratio of 1.341.
No significant associations found between OSA and endometriosis or female infertility.
Body mass index was found to mediate 18% of the effect of OSA on PCOS.

Resumen

Objective This study aimed to evaluate the potential causal association between obstructive sleep apnea (OSA) and the risk of female reproductive endocrine diseases (REDs), including polycystic ovary syndrome (PCOS), endometriosis (EMs), and female infertility (FI) using Mendelian randomization (MR) analysis. Methods Genome‐wide association study (GWAS) summary statistics were obtained from the FinnGen consortium, GWAS catalog, UK Biobank, and GIANT consortium, with a focus on individuals of European ancestry. Single‐nucleotide polymorphisms (SNPs) correlated with OSA were investigated in relation to REDs (PCOS, EMs, and FI) using the inverse‐variance weighted (IVW) method. Sensitivity analyses were used to test the consistency of the results. Furthermore, a two‐step MR was performed to quantify the proportion of the effect of body mass index (BMI)–mediated OSA on REDs. Results Our primary MR analysis revealed that genetically predicted OSA was positively linked to increased PCOS (odds ratio OR 1.341, 95% confidence interval CI 1.014–1.774, p = 0.039), while no significant causal relationships were observed between OSA and EMs, or FI (all p > 0.05). Mediation analysis showed that BMI mediated 18% of the association between OSA and PCOS (OR = 1.053, 95% CI = 1.015–1.105). Conclusion This study suggested that early detection and management of OSA in women may be a new strategy to improve PCOS in the future. Meanwhile, it also emphasized the importance of adjusting BMI as a therapeutic strategy to mitigate the effects of OSA on PCOS.

Preguntar a la IA

Me gusta

Guardar

Ver artículo completo