Chen Yangjia, Zhuang Zhaocheng, Rao Zhixiang
Department of Preventive Medicine, School of Health, Quanzhou Medical College, Quanzhou, Fujian, 362011, People's Republic of China.
School of Humanities and Management, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, People's Republic of China.
Clin Cosmet Investig Dermatol. 2024 Sep 16;17:2089-2096. doi: 10.2147/CCID.S484366. eCollection 2024.
Epidemiological investigations have indicated an association between skin microbiota imbalance and psoriasis, however, the causal relationship has not been confirmed through Mendelian randomization (MR). MR employed genetic instrumental variables (IVs) to evaluate the causal relationship between skin microbiota and psoriasis, providing new insights for potential treatments.
Summary statistics for psoriasis and related traits were available from FinnGen R10 and United Kingdom Biobank (UKB) consortium. The genome-wide association studies (GWAS) on skin microbiota in three skin microenvironments came from two population-based German cohorts. Several selection processes were used to determine the optimal instrumental variables. Five MR methods were performed and different sensitivity analyses approaches yield robustness evidence under different assumptions.
449 SNPs were employed as IVs for 53 bacterial genera, with F-statistics between 20.18 and 42.44, indicating no evidence of weak instrument bias. was associated with psoriasis from UKB in IVW (OR, 95% CI: 0.914, 0.869-0.961; < 0.001, P = 0.007). The taxon was also associated with psoriasis vulgaris (IVW: OR, 95% CI, 0.918, 0.872-0.967; = 0.001, = 0.054) and psoriasis and related disorders (IVW: OR, 95% CI, 0.915, 0.875-0.957; < 0.001, = 0.008). Consistent causal estimates were identified in terms of both magnitude and direction, indicating a protective effect of .
The MR study found that in the antecubital fossa may protect against psoriasis, offering genetic proof that skin microbiota helps prevent the condition.
流行病学调查表明皮肤微生物群失衡与银屑病之间存在关联，然而，因果关系尚未通过孟德尔随机化（MR）得到证实。MR利用基因工具变量（IVs）来评估皮肤微生物群与银屑病之间的因果关系，为潜在治疗提供了新的见解。
银屑病及相关性状的汇总统计数据可从芬兰基因库R10和英国生物银行（UKB）联盟获得。三个皮肤微环境中皮肤微生物群的全基因组关联研究（GWAS）来自两个基于人群的德国队列。采用了几种选择过程来确定最佳工具变量。进行了五种MR方法，并采用不同的敏感性分析方法在不同假设下得出稳健的证据。
449个单核苷酸多态性（SNPs）被用作53个细菌属的IVs，F统计量在20.18至42.44之间，表明没有弱工具偏倚的证据。在逆方差加权法（IVW）中，[具体分类群名称未给出]与UKB中的银屑病相关（比值比（OR），95%置信区间（CI）：0.914，0.869 - 0.961；Z = - 0.001，P = 0.007）。该分类群也与寻常型银屑病相关（IVW：OR，95% CI，0.918，0.872 - 0.967；Z = 0.001，P = 0.054）以及银屑病及相关疾病相关（IVW：OR，95% CI，0.915，0.875 - 0.957；Z < 0.001，P = 0.008）。在大小和方向上都确定了一致的因果估计，表明[具体分类群名称未给出]具有保护作用。
MR研究发现肘窝处的[具体分类群名称未给出]可能预防银屑病，提供了皮肤微生物群有助于预防该病的遗传学证据。
