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Genetic susceptibility modifies the association of long-term air pollution exposure on Parkinson's disease.

Yi-Ming HuangYa-Hui MaPei-Yang GaoXi-Han CuiJia-Hui HouHao-Chen ChiYan FuZhi-Bo WangJian-Feng FengWei ChengLan TanJin-Tai Yu
Published in: NPJ Parkinson's disease (2024)
Inconsistent findings exist regarding the potential association between polluted air and Parkinson's disease (PD), with unclear insights into the role of inherited sensitivity. This study sought to explore the potential link between various air pollutants and PD risk, investigating whether genetic susceptibility modulates these associations. The population-based study involved 312,009 initially PD-free participants with complete genotyping data. Annual mean concentrations of PM 2.5 , PM 10 , NO 2 , and NO x were estimated, and a polygenic risk score (PRS) was computed to assess individual genetic risks for PD. Cox proportional risk models were employed to calculate hazard ratios (HR) and 95% confidence intervals (CI) for the associations between ambient air pollutants, genetic risk, and incident PD. Over a median 12.07-year follow-up, 2356 PD cases (0.76%) were observed. Compared to the lowest quartile of air pollution, the highest quartiles of NO 2 and PM 10 pollution showed HRs and 95% CIs of 1.247 (1.089-1.427) and 1.201 (1.052-1.373) for PD incidence, respectively. Each 10 μg/m 3 increase in NO 2 and PM 10 yielded elevated HRs and 95% CIs for PD of 1.089 (1.026-1.155) and 1.363 (1.043-1.782), respectively. Individuals with significant genetic and PM 10 exposure risks had the highest PD development risk (HR: 2.748, 95% CI: 2.145-3.520). Similarly, those with substantial genetic and NO 2 exposure risks were over twice as likely to develop PD compared to minimal-risk counterparts (HR: 2.414, 95% CI: 1.912-3.048). Findings suggest that exposure to air contaminants heightens PD risk, particularly in individuals genetically predisposed to high susceptibility.
Keyphrases
  • air pollution
  • particulate matter
  • heavy metals
  • human health
  • copy number
  • magnetic resonance imaging
  • type diabetes
  • gene expression
  • lung function
  • risk factors
  • magnetic resonance
  • cystic fibrosis
  • contrast enhanced