Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, 710068, People's Republic of China.
Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi'an, 710068, People's Republic of China.
Environ Sci Pollut Res Int. 2023 Dec;30(59):123939-123947. doi: 10.1007/s11356-023-31047-w. Epub 2023 Nov 23.
The correlation between air pollution and neurodegenerative diseases has garnered growing attention. Although observational studies have indicated a potential link between air pollution and neurodegenerative disease, establishing a causal relationship remains uncertain. To address this gap, we performed a two-sample Mendelian randomization analysis utilizing genetic instruments. This analysis aimed to investigate the causal connections between PM, PM, NO, and NO exposure and the occurrence of Parkinson's disease (PD) and Alzheimer's disease (AD). We implemented a series of filtering steps to identify suitable genetic instruments that demonstrated significant associations (P < 5 × 10) with PM, PM, NO, and NO. These instruments were derived from a comprehensive genome-wide association study (GWAS) encompassing up to 456,380 participants in the UK Biobank. To obtain summary statistics for PD (N = 482,730) and AD risk (N = 63,926), we utilized the most recent GWAS datasets available. For our primary analysis, we employed the inverse-variance weighted approach for two-sample MR. A multivariable MR (MVMR) was also performed to verify the impact of air pollution exposure on the risk of PD and AD. To ensure the robustness of our findings, sensitivity analyses and heterogeneity assessments were performed. In two-sample MR, by employing the inverse-variance weighted method, our result suggested that genetically NO exposure showed a significant association with an elevated risk of PD (OR = 4.07, 95% CI: 1.13 to 19.62, P = 0.034) and genetically PM exposure exhibited a significant association with a heightened risk of AD (OR = 1.93, 95% CI: 1.03-3.59, P = 0.040). Further MVMR analysis demonstrated that the causal effect between NO and PD disappeared (OR = 3.489, 95% CI: 0.01 to 2.1e + 03, P = 0.703), and only PM was associated with an increased risk of AD (OR = 6.500, 95% CI: 1.10 to 38.51, P = 0.039). Sensitivity analysis showed no detectable heterogeneity and pleiotropy (P > 0.05). Our findings demonstrate that NO and PM exposure may contribute to a risk of PD and AD, respectively. Future research is necessary to elucidate potential physiopathological mechanisms.
空气污染与神经退行性疾病之间的相关性已引起越来越多的关注。尽管观察性研究表明空气污染与神经退行性疾病之间存在潜在联系,但建立因果关系尚不确定。为了弥补这一空白,我们进行了一项两样本孟德尔随机化分析,利用遗传工具进行研究。本分析旨在调查 PM、PM、NO 和 NO 暴露与帕金森病 (PD) 和阿尔茨海默病 (AD) 发生之间的因果关系。我们进行了一系列筛选步骤,以确定与 PM、PM、NO 和 NO 显著相关 (P < 5×10) 的合适遗传工具。这些工具源自一项包含多达 456,380 名英国生物库参与者的全基因组关联研究 (GWAS)。为了获取 PD(N=482,730)和 AD 风险(N=63,926)的汇总统计数据,我们使用了最新的 GWAS 数据集。对于我们的主要分析,我们采用两样本 MR 的逆方差加权方法。还进行了多变量 MR (MVMR) 以验证空气污染暴露对 PD 和 AD 风险的影响。为了确保我们发现的稳健性,我们进行了敏感性分析和异质性评估。在两样本 MR 中,通过采用逆方差加权方法,我们的结果表明,遗传上 NO 暴露与 PD 风险升高显著相关(OR=4.07,95%CI:1.13 至 19.62,P=0.034),遗传上 PM 暴露与 AD 风险升高显著相关(OR=1.93,95%CI:1.03-3.59,P=0.040)。进一步的 MVMR 分析表明,NO 与 PD 之间的因果效应消失(OR=3.489,95%CI:0.01 至 2.1e+03,P=0.703),只有 PM 与 AD 风险增加相关(OR=6.500,95%CI:1.10 至 38.51,P=0.039)。敏感性分析显示无显著异质性和多效性(P>0.05)。我们的研究结果表明,NO 和 PM 暴露可能分别导致 PD 和 AD 的风险增加。需要进一步的研究来阐明潜在的病理生理学机制。