孟德尔随机化
孟德尔遗传
皮肤老化
遗传学
生物
医学
皮肤病科
基因
遗传变异
基因型
作者
Mulan Chen,Yuhui Che,Mengsong Liu,Xinyu Xiao,Lin Zhong,Siqi Zhao,Xueer Zhang,Anjing Chen,Ge Lin
摘要
Abstract Background A growing number of experimental studies have shown an association between the gut microbiota (GM) and facial skin aging. However, the causal relationship between GM and facial skin aging remains unclear to date. Methods We conducted a two‐sample Mendelian randomization (MR) analysis to investigate the potential causal relationship between GM and facial skin aging. MR analysis was mainly performed using the inverse‐variance weighting (IVW) method, complemented by the weighted median (MW) method, MR‐Egger regression, and weighted mode, and sensitivity analysis was used to test the reliability of MR analysis results. Results Eleven GM taxa associated with facial skin aging were identified by IVW method analysis, Family Victivallaceae ( p = 0.010), Genus Eubacterium coprostanoligenes group ( p = 0.038), and Genus Parasutterella ( p = 0.011) were negatively associated with facial skin aging, while Phylum Verrucomicrobia ( p = 0.034), Family Lactobacillaceae ( p = 0.017) and its subgroups Genus Lactobacillus ( p = 0.038), Genus Parabacteroides ( p = 0.040), Genus Eggerthella ( p = 0.049), Genus Family XIII UCG001 ( p = 0.036), Genus Phascolarctobacterium ( p = 0.027), and Genus Ruminococcaceae UCG005 ( p = 0.012) were positively associated with facial skin aging. At Class and Order levels, we did not find a causal relationship between GM and facial skin aging. Results of sensitivity analyses did not show evidence of pleiotropy and heterogeneity. Conclusion Our findings confirm the causal relationship between GM and facial skin aging, providing a new perspective on delaying facial aging.
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