School of health Management, Environmental Health Section, Xinxiang Medical University, Xinxiang Health Technology Supervision Center, Xinxiang, 453003, Henan Province, China.
School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China.
Int J Biometeorol. 2024 Oct;68(10):2049-2054. doi: 10.1007/s00484-024-02728-z. Epub 2024 Jun 21.
PM has been associated with various adverse health effects, particularly affecting lung function and chronic respiratory diseases. However, the genetic causality relationship between PM exposure and lung function as well as chronic respiratory diseases remains poorly understood.
We conducted a two-sample Mendelian randomization analysis to investigate the causal impact of PM on lung function and chronic respiratory diseases. Instrumental variables were carefully selected, with significance thresholds (P < 5 × 10), and linkage disequilibrium with an r value below 0.001. Additionally, SNPs with an F-statistic exceeding 10 were included to mitigate potential bias stemming from weak instrumental variables. The primary analytical approach employed the Inverse Variance Weighted method, supplemented by the Weighted Median, MR-Egger, Simple Model, and Weighted Model. Furthermore, pleiotropy and heterogeneity were evaluated through the MR-Egger intercept test and Cochrane's Q test, with a sensitivity analysis conducted using the leave-one-out method.
Eight SNPs significantly associated with PM exposure were identified as Instrumental variables. Mendelian randomization analysis revealed a significant causal association between PM exposure and lung function (FEV), with an OR of 0.7284 (95% CI: 0.5799-0.9150). Similarly, PM exposure demonstrated a substantial causal effect on asthma, with an OR of 1.5280 (95% CI: 1.0470-2.2299). However, no causal association was observed between PM exposure and chronic obstructive pulmonary disease, with an OR of 1.5176 (95% CI: 0.8294-2.7768).
These findings emphasize the necessity for continued research efforts in environmental health to develop effective strategies for the prevention and management of chronic respiratory diseases.
PM 与各种不良健康影响有关，特别是对肺功能和慢性呼吸道疾病有影响。然而，PM 暴露与肺功能和慢性呼吸道疾病之间的遗传因果关系仍知之甚少。
我们进行了两样本孟德尔随机化分析，以研究 PM 对肺功能和慢性呼吸道疾病的因果影响。精心选择了工具变量，显著性阈值为（P < 5 × 10），与 r 值低于 0.001 的连锁不平衡。此外，还纳入了 F 统计量超过 10 的 SNP，以减轻潜在的弱工具变量引起的偏差。主要分析方法采用逆方差加权法，辅以加权中位数、MR-Egger、简单模型和加权模型。此外，通过 MR-Egger 截距检验和 Cochrane's Q 检验评估了 pleiotropy 和异质性，并用 leave-one-out 方法进行了敏感性分析。
确定了 8 个与 PM 暴露显著相关的 SNP 作为工具变量。孟德尔随机化分析显示，PM 暴露与肺功能（FEV）之间存在显著的因果关系，OR 为 0.7284（95%CI：0.5799-0.9150）。同样，PM 暴露对哮喘也有显著的因果影响，OR 为 1.5280（95%CI：1.0470-2.2299）。然而，PM 暴露与慢性阻塞性肺疾病之间没有因果关系，OR 为 1.5176（95%CI：0.8294-2.7768）。
这些发现强调了在环境卫生领域继续进行研究的必要性，以制定预防和管理慢性呼吸道疾病的有效策略。
