He Zhendong, Zheng Leting, Chen Zhanrui, Wen Jing, Qin Fang, Mo Hanyou
Department of Rheumatology and Immunology, First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China.
Medicine (Baltimore). 2024 Dec 13;103(50):e40702. doi: 10.1097/MD.0000000000040702.
At present, the association of smoking, alcohol intake, and coffee intake with the risk of bacterial pneumonia (BP) remains controversial. In this study, we used a 2-sample Mendelian randomization (MR) analysis to estimate the association of smoking, alcohol intake, and coffee intake with the risk of BP.
We extracted genetic variants associated with smoking initiation and cigarettes per day from the Genome-Wide Association Study and Sequencing Consortium of Alcohol and Nicotine Use database (944,625 individuals). We also extracted genetic variants associated with past tobacco smoking, alcohol intake frequency, and coffee intake from the UK Biobank database (1,316,166 individuals). BP outcomes were chosen from the FinnGen genome-wide association studies (GWAS) database (7987 patients and 188,868 controls). The inverse variance-weighted method was used primarily to calculate odds ratios (OR) and 95% confidence intervals (CI). Sensitivity analysis using different approaches such as weighted median, MR Egger, and MR pleiotropy residual sum and outlier (MR-PRESSO) have been implemented, as well as leave-one-out analysis to identify pleiotropy.
The 2-sample MR analysis supported the causal association of genetically predicted cigarettes per day (OR: 1.23, 95% CI: [1.08-1.39], P < .01] and smoking initiation (OR: 1.22, 95% CI: [1.03-1.44], P = .02) with the risk of BP, but not past tobacco smoking, alcohol intake frequency, and coffee intake. Heterogeneity (P > .05) and pleiotropy (P > .05) tests provided confirmatory evidence for the validity of our MR estimates.
Our findings provide relevant evidence for a favorable causal association of genetically predicted smoking initiation and cigarettes per day with BP risk. However, there may not be a causal association between past tobacco smoking, alcohol intake, and coffee intake with increased BP incidence rates.
目前,吸烟、饮酒和咖啡摄入与细菌性肺炎(BP)风险之间的关联仍存在争议。在本研究中,我们使用两样本孟德尔随机化(MR)分析来估计吸烟、饮酒和咖啡摄入与BP风险之间的关联。
我们从酒精和尼古丁使用的全基因组关联研究与测序联盟数据库(944,625人)中提取了与开始吸烟及每日吸烟量相关的基因变异。我们还从英国生物银行数据库(1,316,166人)中提取了与既往吸烟、饮酒频率和咖啡摄入相关的基因变异。BP结局选自芬兰基因全基因组关联研究(GWAS)数据库(7987例患者和188,868例对照)。主要使用逆方差加权法计算比值比(OR)和95%置信区间(CI)。已实施使用加权中位数、MR Egger以及MR多效性残差和离群值(MR-PRESSO)等不同方法的敏感性分析,以及留一法分析以识别多效性。
两样本MR分析支持基因预测的每日吸烟量(OR:1.23,95%CI:[1.08 - 1.39],P <.01)和开始吸烟(OR:1.22,95%CI:[1.03 - 1.44],P =.02)与BP风险之间存在因果关联,但既往吸烟、饮酒频率和咖啡摄入与BP风险之间不存在因果关联。异质性(P >.05)和多效性(P >.05)检验为我们的MR估计的有效性提供了确证性证据。
我们的研究结果为基因预测的开始吸烟和每日吸烟量与BP风险之间存在有利的因果关联提供了相关证据。然而,既往吸烟、饮酒和咖啡摄入与BP发病率增加之间可能不存在因果关联。