Zhang Yuxue, Chen Huihui, Shi Yiming, Jiang Lingling, Hong Shihao
Assisted Reproduction Unit, Department of Obstetrics and Gynecology, Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology Zhejiang Key Laboratory of Precise Protection and Promotion of Fertility, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China.
Department of Obstetrics and Gynecology, Ninghai Maternal and Child Health Hospital, Ningbo, China.
Arch Dermatol Res. 2025 Jan 7;317(1):191. doi: 10.1007/s00403-024-03703-9.
The human skin microbiome is closely associated with various diseases. We aimed to find the causal association of the human skin microbiome with vaginitis. A two-way two-sample Mendelian randomization study used summary statistics of the human skin microbiota from the largest genome-wide association study meta-analysis. Pooled statistics for vaginitis disease were obtained from the FinnGen consortium R10 release. Inverse variance weighted, MR-Egger, weighted median, weighted model, MR-PRESSO, and STEIGER methods were used to test for causal associations between different parts of the human skin microbiota and vaginitis disease in either dry or moist environments. IVW estimates suggest that phylococcus hominischaracterizes a protective effect against vaginitis lesions at the Antecubitalfossa wet site. Staphylococcus in the dry state at the Dorsalforearm site also demonstrated a protective effect against vaginitis lesions. Micrococcus showed a trend of up-regulation of vaginitis risk under IVW method estimation. In contrast, Anaerococcus and Veillonella were associated with a low risk of vaginitis as estimated by the IVW method: ASV061 and ASV065. In the Class, IVW estimation showed that Bacilli at Antecubitalfossa site had an increased risk effect on vaginitis in the moist skin condition. Similarly in Genus, Staphylococcus at Antecubitalfossa sites had an increased risk effect against vaginitis in the moist skin condition. Based on the results of the inverse MR analysis, no significant causal effect of vaginitis on the human skin microbiota was found. This two-sample bidirectional Mendelian randomization study found a causal relationship between seven human skin microbiota and vaginitis, further enriching our understanding of the value of skin flora in reproductive diseases such as vaginitis.
人类皮肤微生物群与多种疾病密切相关。我们旨在找出人类皮肤微生物群与阴道炎之间的因果关联。一项双向两样本孟德尔随机化研究使用了来自最大规模全基因组关联研究荟萃分析的人类皮肤微生物群的汇总统计数据。阴道炎疾病的汇总统计数据来自芬兰基因联盟R10版本。采用逆方差加权、MR-Egger、加权中位数、加权模型、MR-PRESSO和STEIGER方法，来检验人类皮肤微生物群不同部分与干燥或潮湿环境下阴道炎疾病之间的因果关联。逆方差加权估计表明，人葡萄球菌对肘前窝潮湿部位的阴道炎病变具有保护作用。前臂背侧部位干燥状态下的葡萄球菌也对阴道炎病变表现出保护作用。在逆方差加权法估计下，微球菌显示出阴道炎风险上调的趋势。相比之下，厌氧球菌和韦荣球菌通过逆方差加权法估计与低阴道炎风险相关：ASV061和ASV065。在分类水平上，逆方差加权估计显示，肘前窝部位的芽孢杆菌在皮肤潮湿状态下对阴道炎有增加风险的作用。同样在属水平上，肘前窝部位的葡萄球菌在皮肤潮湿状态下对阴道炎有增加风险的作用。基于逆孟德尔分析结果，未发现阴道炎对人类皮肤微生物群有显著的因果效应。这项两样本双向孟德尔随机化研究发现了七种人类皮肤微生物群与阴道炎之间存在因果关系，进一步丰富了我们对皮肤菌群在阴道炎等生殖疾病中的价值的理解。
