Objective To investigate the causal relationship between gut microbiota and polycystic ovary syndrome(PCOS)using a Mendelian randomization(MR)study,so as to provide insights into the pathogenesis of PCOS and the formulation of prevention and treatment strategies.Methods The genetic data on gut microbiota was derived from a me-ta-analysis of genome-wide association studies(GWAS)involving 18 340 participants.The genetic data on PCOS was sourced from two GWAS meta-analyses in European populations,serving as the discovery set and the validation set,re-spectively.A two-sample MR analysis was conducted using the discovery set,with the inverse variance weighted(IVW)method as the primary approach.Sensitivity analyses employed the weighted median method,MR-Egger regression,and the MR-PRESSO test.The validation set was utilized for verification,and a meta-analysis was performed to combine the results from the two datasets.Results Forward MR analysis results showed that nine types of gut microbiota were statistically associated with PCOS(all P<0.05).Specifically,the association of family Streptococcaceae(OR=1.442,95%CI:1.097-1.895),genus Actinomyces(OR=1.359,95%CI:1.036-1.784),genus Ruminococcaceae UCG 011(OR=0.755,95%CI:0.619-0.921),genus Sellimonas(OR=0.766,95%CI:0.657-0.893)and genus Streptococcus with PCOS(OR=1.496,95%CI:1.136-1.972)remained consistent in the sensitivity analysis.Reverse MR analysis showed no evidence for the causal association between PCOS and the aforementioned five types of gut microbiota(all P>0.05).The MR anal-ysis results of the validation set showed that there was no statistical association between the aforementioned five types of gut microbiota and PCOS(all P>0.05).However,the associations remained significant for genus Actinomyces(OR=1.226,95%CI:1.010-1.503)and genus Streptococcus(OR=1.266,95%CI:1.042-1.452)in the meta-analysis(both P<0.05).Conclusion This study provides the evidence that genus Actinomyces and genus Streptococcus are causally associ-ated with PCOS.