Ji Xiaotian, Wu Shuhui, Zhao Dan, Bai Qi, Wang Yun, Gong Ke, Zheng Huie, Zhu Mingfang
Department of Dermatology, the Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, People's Republic of China.
Department of Traditional Chinese Medicine, Cangzhou Central Hospital, Cangzhou, People's Republic of China.
Clin Cosmet Investig Dermatol. 2024 Feb 8;17:383-393. doi: 10.2147/CCID.S451104. eCollection 2024.
The association between acne and gut microbiota has garnered considerable attention; nevertheless, given the substantial diversity within gut microbiota, the precise cause-and-effect relationship linking specific microbial species to acne remains elusive. To address this gap in knowledge, our study utilized Mendelian randomization analysis to elucidate a potential causal link between gut microbiota composition and acne development while also investigating underlying mechanisms involving microbial factors associated with metabolic disorders.
The independent single nucleotide polymorphisms (SNPs) closely associated with 196 gut microbiota samples (N=18340) were selected as variable tools. The relationship between gut microbiota and acne (N=212438) was analyzed using the Twosample package in R4.3.1, employing various methods including inverse variance weighting (IVW), weighted median, MR-Egger, Simple-mode, and Weighted-mode. To ensure the stability of the estimates, a series of sensitivity analyses were conducted, such as Cochran's Q-test, MR-Egger intercept analysis, leave-one-out analysis, and funnel plots. Additionally, the impact of each instrumental variable was calculated.
In the Mendelian randomization analysis, we identified twelve microbial taxa potentially associated with acne: family.Bacteroidaceae, family.Clostridiaceae1, genus.Allisonella, genus.Bacteroides, genus.Butyricimonas, genus.Clostridiumsensustricto1, and genus.Coprococcus3. These seven bacterial groups were found to be potential risk factors for acne. Conversely, family.Lactobacillaceae and genus.Ruminococcustorquesgroup along with genus.CandidatusSoleaferrea, genus.Fusicatenibacter, family.Lactobacillaceae, and genus.Lactobacillus exhibited a protective effect against acne. Furthermore, our investigation revealed that some of these microbial taxa have been implicated in metabolic diseases through previous studies. Importantly though, no causal relationship was observed in the reverse Mendelian randomization analysis.
痤疮与肠道微生物群之间的关联已引起广泛关注；然而，鉴于肠道微生物群的高度多样性，将特定微生物物种与痤疮联系起来的精确因果关系仍不明确。为填补这一知识空白，我们的研究利用孟德尔随机化分析来阐明肠道微生物群组成与痤疮发展之间的潜在因果联系，同时研究涉及与代谢紊乱相关的微生物因素的潜在机制。
选择与196个肠道微生物群样本（N = 18340）密切相关的独立单核苷酸多态性（SNP）作为变量工具。使用R4.3.1中的Twosample包，采用多种方法，包括逆方差加权（IVW）、加权中位数、MR-Egger、简单模式和加权模式，分析肠道微生物群与痤疮（N = 212438）之间的关系。为确保估计的稳定性，进行了一系列敏感性分析，如 Cochr an's Q检验、MR-Egger截距分析、留一法分析和漏斗图分析。此外，计算了每个工具变量的影响。
在孟德尔随机化分析中，我们确定了十二个可能与痤疮相关的微生物分类群：拟杆菌科、梭菌科1、Allisonella属、拟杆菌属、丁酸单胞菌属、严格梭菌属1和粪球菌属3。发现这七个细菌类群是痤疮的潜在危险因素。相反，乳杆菌科、瘤胃球菌属扭矩组以及暂定索氏菌属、梭状杆菌属、乳杆菌科和乳杆菌属对痤疮具有保护作用。此外，我们的调查显示，通过先前的研究，其中一些微生物分类群与代谢疾病有关。然而，重要的是，在反向孟德尔随机化分析中未观察到因果关系。
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