Jiao Ruofeng, Li Wei, Song Jukun, Chen Zhu
College of Stomatology, Zunyi Medical University, Zunyi, 563000, Guizhou, China.
Internal Medicine Department, Guiyang Hospital of Stomatology, Guiyang, 550002, Guizhou, China.
Oral Dis. 2024 Apr;30(3):1564-1572. doi: 10.1111/odi.14565. Epub 2023 Apr 3.
A unified view of whether asthma and periodontitis interact and the direction of action is not found in previous studies. Therefore, in this article, we will elucidate bidirectional causality by two-sample Mendelian randomization (MR).
We obtained summary-level data for asthma and periodontitis from the massive GWAS databases of several publicly available. Meanwhile, it will ensure no confounders like smoking using the Phenoscanner website to have a search over each SNP. The F statistic value of each SNP is calculated as more significant than 10. This MR analysis mainly used five MR methods: MR-Egger, weighted median, inverse variance weighted (IVW), simple mode, and weighted mode. As a result, we performed heterogeneity and horizontal pleiotropy tests.
We have found supporting evidence to verify the hypothesis that asthma may be a protective factor for periodontitis (IVW OR = 0.34; 95% CI = [0.132,0.87]; p = 0.025). The consistent impact direction is shown when additional asthma GWAS dataset are used (MR-Egger OR = 0.118; 95%CI = [0.016,0.883]; p = 0.04). There is no evidence of a causal effect of periodontitis at the risk of asthma in the reverse analysis (p > 0.05).
Our analysis found that people with asthma may have a lower risk of periodontitis than those without. This MR analysis could have significant implications for the clinical process and future research.
以往研究未就哮喘与牙周炎是否相互作用以及作用方向达成统一观点。因此，在本文中，我们将通过两样本孟德尔随机化（MR）阐明双向因果关系。
我们从几个公开可用的大规模全基因组关联研究（GWAS）数据库中获取了哮喘和牙周炎的汇总数据。同时，利用Phenoscanner网站对每个单核苷酸多态性（SNP）进行搜索，以确保不存在吸烟等混杂因素。计算得出每个SNP的F统计量值均大于10。该MR分析主要采用了五种MR方法：MR-Egger、加权中位数、逆方差加权（IVW）、简单模式和加权模式。结果，我们进行了异质性和水平多效性检验。
我们发现了支持哮喘可能是牙周炎保护因素这一假设的证据（IVW比值比[OR]=0.34；95%置信区间[CI]=[0.132,0.87]；p=0.025）。使用额外的哮喘GWAS数据集时显示出一致的影响方向（MR-Egger OR=0.118；95%CI=[0.016,0.883]；p=0.04）。反向分析中没有证据表明牙周炎对哮喘风险有因果效应（p>0.）。
我们的分析发现，哮喘患者患牙周炎的风险可能低于非哮喘患者。这种MR分析可能对临床过程和未来研究具有重要意义。
