睡眠特征与血清尿酸水平的因果效应:一项双向孟德尔随机化研究OA

Background Hyperuricemia(HUA)is a global health concern,with its prevalence on the rise in China.Sleep,as an important lifestyle factor,shows an inconsistent relationship with serum uric acid(SUA)levels in previous observational studies,and the causal relationship between them remains unclear.Therefore,it is necessary to employ more reliable methods to clarify their intrinsic association.Objective To investigate the bidirectional causal relationships between sleep duration,daytime napping frequency,and SUA levels using a bidirectional Mendelian randomization(MR)approach.Methods This study was based on publicly available summary data from large-scale genome-wide association studies(GWAS).Data on sleep duration(n=127 573),daytime napping frequency(n=452 633),and SUA levels(n=288 649)were derived from European populations.A bidirectional two-sample MR design was employed,screening eligible single nucleotide polymorphisms(SNPs)as instrumental variables.The inverse variance weighted(IVW)method,MR-Egger regression,weighted median method,and MR-PRESSO method were used to assess causal effects.Sensitivity analyses,including heterogeneity tests and leave-one-out analysis,were conducted to verify the robustness of the results.Results The MR analysis results showed that the genetic prediction of sleep duration was a negative causal relationship with the SUA level(OR=0.81,95%CI=0.67-0.98,P=0.03),while the frequency of daytime naps predicted by genetics has a positive causal relationship with the level of SUA(OR=1.20,95%CI=1.05-1.37,P=0.009).Reverse MR analysis found no causal effect of SUA levels on either sleep duration or daytime napping frequency(P>0.05).Sensitivity analyses detected no significant horizontal pleiotropy,indicating robust findings.Conclusion This study provides genetic evidence that shorter sleep duration and higher daytime napping frequency are independent risk factors for elevated SUA levels.Improving sleep habits may serve as an effective non-pharmacological intervention strategy for the prevention and management of HUA.