Genetics
Mendelian randomisation flags genetically proxied CETP inhibition as associated with higher male infertility risk, partly via vitamin D (Front Endocrinol 2024)
Original title: Lipids, lipid-modified drug target genes, and the risk of male infertility: a Mendelian randomization study
A Mendelian randomisation study tested whether circulating lipids and lipid-lowering drug targets causally affect male infertility (MIF), using genetic variants for lipid traits and drug targets against FinnGen outcome data, with a two-step analysis for mediation by vitamin D. Genetically proxied CETP inhibition, equivalent to a one standard deviation increase in HDL-C, was associated with higher MIF risk (odds ratio 1.28, 95% CI, 1.07 to 1.53, FDR = 0.035), alongside LDLR activation (odds ratio 1.94) and LPL activation (odds ratio 1.86), while HMGCR inhibition was associated with lower MIF risk (odds ratio 0.38). Serum vitamin D partially mediated the CETP inhibitor signal, accounting for 12.2% of its effect. Sensitivity analyses found no strong evidence of bias from pleiotropy or confounding. A genetic safety signal worth tracking for CETP inhibitor development, not yet tested in a clinical trial.
Original abstract
Background: Previous observational studies have reported a possible association between circulating lipids and lipid-lowering drugs and male infertility (MIF), as well as the mediating role of circulating vitamin D. Then, due to issues such as bias, reverse causality, and residual confounding, inferring causal relationships from these studies may be challenging. Therefore, this study aims to explore the effects of circulating lipids and lipid-lowering drugs on MIF through Mendelian randomization (MR) analysis and evaluate the mediating role of vitamin D.
Method: Genetic variations related to lipid traits and the lipid-lowering effect of lipid modification targets are extracted from the Global Alliance for Lipid Genetics Genome-Wide Association Study. The summary statistics for MIF are from the FinnGen 9th edition. Using quantitative expression feature loci data from relevant organizations to obtain genetic variations related to gene expression level, further to explore the relationship between these target gene expression levels and MIF risk. Two-step MR analysis is used to explore the mediating role of vitamin D. Multiple sensitivity analysis methods (co-localization analysis, Egger intercept test, Cochrane's Q test, pleiotropy residuals and outliers (MR-PRESSO), and the leave-one-out method) are used to demonstrate the reliability of our results.
Result: In our study, we observed that lipid modification of four lipid-lowering drug targets was associated with MIF risk, the LDLR activator (equivalent to a 1-SD decrease in LDL-C) (OR=1.94, 95% CI 1.14-3.28, FDR=0.040), LPL activator (equivalent to a 1-SD decrease in TG) (OR=1.86, 95% CI 1.25-2.76, FDR=0.022), and CETP inhibitor (equivalent to a 1-SD increase in HDL-C) (OR=1.28, 95% CI 1.07-1.53, FDR=0.035) were associated with a higher risk of MIF. The HMGCR inhibitor (equivalent to a 1-SD decrease in LDL-C) was associated with a lower risk of MIF (OR=0.38, 95% CI 0.17-0.83, FDR=0.39). Lipid-modifying effects of three targets were partially mediated by serum vitamin D levels. Mediation was 0.035 (LDLR activator), 0.012 (LPL activator), and 0.030 (CETP inhibitor), with mediation ratios of 5.34% (LDLR activator), 1.94% (LPL activator), and 12.2% (CETP inhibitor), respectively. In addition, there was no evidence that lipid properties and lipid modification effects of six other lipid-lowering drug targets were associated with MIF risk. Multiple sensitivity analysis methods revealed insignificant evidence of bias arising from pleiotropy or genetic confounding.
Conclusion: This study did not support lipid traits (LDL-C, HDL-C, TG, Apo-A1, and Apo-B) as pathogenic risk factors for MIF. It emphasized that LPL, LDLR, CETP, and HMGCR were promising drug targets for improving male fertility.
Summary written by cetpinhibition.org from the published abstract; figures as published. Page updated 18 August 2026. Methods.