目的：关于大气污染物是否与年龄相关性白内障有关联的研究有限，以往的研究结果也不一致。本研究旨在评估多种大气污染物与年龄相关性白内障之间的关系。方法：采用双样本孟德尔随机化（Mendelian Randomization, MR）设计，并使用了来自亚洲及欧洲两个人群的独立全基因组关联研究（Genome-Wide Association Study, GWAS）的汇总统计数据。大气污染物数据包括颗粒物2.5（particulate matter_2.5, PM_2.5）、PM_2.5-10、PM₁₀、二氧化氮和氮氧化物。主要分析方法是逆方差加权（inverse variance weighted, IVW）法，辅以多变量孟德尔随机化分析（multivariable Mendelian randomization, MVMR）校正污染物间混杂效应，并通过敏感性分析验证结果的稳健性。Cochran Q检验法被用来评估各个单核苷酸多态性（single nucleotide polymorphism, SNP）之间是否存在显著的异质性。并采用MR PRESSO方法来识别并排除SNP中的异常值，同时利用MR Egger回归模型评估SNP之间可能存在的多效性，并通过逐一排除每个SNP进行敏感性分析，以确保MR分析结果不受单一SNP的显著影响。结果：关于5种大气污染物特征，亚洲人群结果中，二氧化氮暴露与年龄相关性白内障存在正相关（OR=1.03, 95%CI 1.00~1.06，P=0.026），但在多变量分析中效应方向反转（OR=0.86, 95%CI 0.77~0.97, P=0.013）；在欧洲人群中，PM_2.5-10与年龄相关性白内障显著相关（OR=1.35, 95%CI 1.12~1.62，P=0.002），且在多变量分析中因果效应依然显著（OR=1.58, 95%CI 1.27~3.70, P=0.03）。敏感性分析支持结果的稳健性，未发现异质性或多效性偏倚。结论：环境中PM_2.5-10和二氧化氮与年龄相关性白内障存在复杂因果关系，且因人群而异。亚洲人群中，二氧化氮单变量分析呈正相关，多变量分析效应反转，倾向多变量分析结果，即其降低年龄相关性白内障风险；欧洲人群中，PM_2.5-10单、多变量分析均呈正相关，显示其会增加年龄相关性白内障风险。

Objective: Research exploring the association between atmospheric pollutants and age-related cataracts is scarce, and previous studies have yielded inconsistent findings. This study aims to assess the relationship between various atmospheric pollutants and age-related cataracts. Methods: We adopted a two-sample Mendelian randomization (MR) design, using summary statistics from independent genome-wide association studies (GWAS) conducted on Asian and European populations. The atmospheric pollutant considered in this study included PM_2.5, PM_2.5-10, PM₁₀, nitrogen dioxide, and nitrogen oxides. The primary analysis method was the inverse variance weighted (IVW) approach. Additionally, multivariable MR (MVMR) was used to adjust for confounding effects among pollutants. Sensitivity analyses were conducted to verify the robustness of the results. The Cochran Q test was employed to assess significant heterogeneity among SNPs. The MR PRESSO method was applied to identify and exclude outliers SNPs, while the MR Egger regression model was used to evaluate potential pleiotropy among SNPs. Furthermore, sensitivity analyses were performed by excluding each SNP one by one to ensure that the MR analysis results were not significantly influenced by a single SNP. Results: Among the five atmospheric pollutants studied, we discovered a significant positive correlation between nitrogen dioxide exposure and age-related cataracts in the Asian population (OR=1.03, 95%CI 1.00-1.06, P=0.026). However, the direction of the effect was reversed in the multivariable analysis (OR=0.86, 95%CI 0.77-0.97, P=0.013). In the European population, PM_2.5-10 was significantly associated with age-related cataracts (OR=1.35, 95%CI 1.12-1.62, P=0.002), and the causal effect remained significant in the multivariable analysis (OR=1.58, 95%CI 1.27-3.70, P=0.03). Sensitivity analyses supported the robustness of the results, with no evidence of heterogeneity or pleiotropy bias. Conclusions: This study revealed a complex causal relationship between environmental PM_2.5-10 and NO₂ and age-related cataracts, which varied across populations. In Asian populations, the univariate analysis of nitrogen dioxide showed a positive correlation, but the effect was reversed in multivariate analysis, leaning towards the multivariate results and indicating a reduced risk of age-related cataracts. In European populations, both univariate and multivariate analyses of PM_2.5-10 showed a positive correlation, increasing the risk of age-related cataracts. The study provides genetic evidence for the prevention and control of air pollution and highlights the importance of using multi-pollutant models to assess environmental health effects.

目的：探讨大气污染物NO₂水平与干眼患病的相关性。方法：选取2014年1月至2018年1月共计75 279例干眼患者的临床资料，进行资料汇总。空气质量和天气数据来自西安市气象局2014—2018年的每日环境空气质量数据。分析中包括的环境空气污染物NO₂。所有数据均按小时收集。计算每个变量的每日平均值，并计算本研究中使用的每周平均值。本研究中患者均自愿参加，并经南昌大学第一附属医院医学研究伦理委员会批准。结果：干眼的门诊就诊次数与NO₂水平显著相关。本研究发现不同年龄段的人受到不同的参数变化影响，环境中NO₂的浓度对于全年龄段的人患干眼有显著相关性，对性别无选择性，男女均会因为NO2在环境中的不同水平而患干眼。较高水平的环境NO₂会增加门诊患者干眼的概率。我们通过对患者人数的累计与环境中NO₂浓度进行相关性分析，发现其有显著相关性，因此环境空气污染和天气变化可能导致干眼的恶化。结论：大气污染物NO2与干眼患病有显著相关性。

Objective: To investigate the correlation between NO₂ levels in air pollutants and dry eye. Methods: The clinical data of 75 279 patients with dry eye from January 2014 to January 2018 were selected and summarized. The air quality and weather data were from the daily ambient air quality data of Xi’an Meteorological Bureau from 2014 to 2018. Environmental air pollutants NO₂ was included in the analysis. All data were collected on an hourly basis. We calculated the daily average for each variable and then calculated the weekly average used in this study.All patients in this study volunteered to participate. , and this study was approved by the Medical Research Ethics Committee of the First Affiliated Hospital of Nanchang University. Results: We found that the number of outpatient visits for dry eye was significantly correlated with NO₂ levels. Our study found that people of different ages were affected by different parameter changes. The concentration of NO₂ in the environment was significantly correlated with dry eyes in all age groups, and is not selective for gender. Both men and women could develop dry eyes due to different levels of NO₂ in the environment. Our results showed that higher levels of environmental NO₂ increased the chances of dry eyes in outpatients. By analyzing the correlation between the cumulative number of patients and the NO₂ concentration in the environment, we found that the correlation was significant.Therefore, ambient air pollution and weather changes may lead to the deterioration of dry eye. Conclusion: There is a significant correlation between atmospheric pollutant NO₂ and dry eye disease.