Causal association between metabolic syndrome and ovarian dysfunction: a bidirectional two-sample mendelian...

Area of Science:

• Genetics
• Endocrinology
• Reproductive Biology

Background:

• Observational studies suggest a link between Metabolic Syndrome (MetS) and ovarian dysfunction, but the causal relationship remains unclear.
• Genetic prediction methods using genome-wide association study (GWAS) data are employed to investigate this association.
• This study aims to clarify the causal link between MetS and ovarian dysfunction.

Purpose of the Study:

• To investigate the bidirectional causal relationship between Metabolic Syndrome (MetS) and ovarian dysfunction using genetic prediction.
• To identify specific components of MetS that causally influence ovarian dysfunction.
• To determine if ovarian dysfunction causally affects MetS.

Main Methods:

• Bidirectional two-sample Mendelian Randomization (MR) analysis was performed using summary data from GWAS for MetS and ovarian dysfunction.
• Inverse variance weighted (IVW) was the primary MR method, with Weighted Median, Weighted Mode, and MR-Egger methods used for validation.
• Sensitivity analyses, including MR-Egger regression, MR-PRESSO, Cochran's Q test, and leave-one-out analysis, were conducted to ensure result robustness.

Main Results:

• Genetic predisposition to insulin resistance, increased waist circumference, and higher BMI were found to causally influence ovarian dysfunction.
• Reverse MR analysis indicated that ovarian dysfunction causally affects Metabolic Syndrome and waist circumference.
• Sensitivity analyses confirmed the absence of significant horizontal pleiotropy and the stability of results after outlier removal.

Conclusions:

• This study establishes a bidirectional causal relationship between Metabolic Syndrome and ovarian dysfunction through genetic prediction.
• The findings provide crucial insights into the interplay between MetS and ovarian dysfunction.
• Understanding this causal link can inform the development of novel prevention and treatment strategies for both conditions.