{"title":"空气污染、遗传易感性和室性心律失常风险:英国生物银行的一项前瞻性队列研究。","authors":"Yun-Jiu Cheng, Chen Zhu, Hai Deng, Yang Wu, Hui-Qiang Wei, Wei-Dong Lin, Wulamiding Kaisaier, Runkai Li, Yili Chen, Yugang Dong, Xian-Hong Fang, Yi-Jian Liao, Shu-Lin Wu, Hong-Tao Liao, Yu-Mei Xue, Zexuan Wu","doi":"10.1093/eurjpc/zwae390","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>Both genetic and environmental factors contribute to the development of ventricular arrhythmias (VAs). However, the extent to which genetic susceptibility modifies the effects of air pollutants on the risk of VAs remains poorly understood.</p><p><strong>Methods: </strong>This study included 491,305 participants without VAs at baseline from UK Biobank. Exposure to ambient air pollutants, including particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2) and nitrogen oxides (NOX), was estimated through land use regression modelling. The associations between air pollutants and the incidence of VAs were then investigated using a Cox proportional hazards model adjusted for covariates. Additionally, we established a polygenic risk score (PRS) for VAs and assessed the joint effect of genetic susceptibility and air pollution on incident VAs.</p><p><strong>Results: </strong>During a median follow-up of 14.3 years, 4,333 participants were diagnosed with VAs. Increased long-term exposure to PM2.5, PM10, NO2 and NOx was significantly associated with higher risks of VAs, with hazard ratios (HR) per quintile increase of 1.07 (95% confidence interval, 95% CI: 1.03-1.11), 1.07 (1.03-1.11), 1.10 (1.06-1.14) and 1.08 (1.05-1.12) for each pollutant respectively. Notably, there were significant additive interactions between air pollutants and genetic risk. Participants with both high genetic risk and high exposure to air pollution exhibited the greatest risk of VAs, with the highest HRs observed for PM2.5 (HR, 4.51; 95% CI, 3.66-5.56), PM10 (HR, 4.28; 95% CI, 3.52-5.22), NO2 (HR, 4.90; 95% CI, 3.97-6.03), and NOx (HR, 4.56; 95% CI, 3.72-5.60), respectively.</p><p><strong>Conclusions: </strong>Long-term exposure to air pollution is associated with an increased risk of VAs, especially in individuals with a high genetic risk.</p>","PeriodicalId":12051,"journal":{"name":"European journal of preventive cardiology","volume":" ","pages":""},"PeriodicalIF":8.4000,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Air Pollution, Genetic Susceptibility, and the Risk of Ventricular Arrhythmias: A prospective cohort study in the UK Biobank.\",\"authors\":\"Yun-Jiu Cheng, Chen Zhu, Hai Deng, Yang Wu, Hui-Qiang Wei, Wei-Dong Lin, Wulamiding Kaisaier, Runkai Li, Yili Chen, Yugang Dong, Xian-Hong Fang, Yi-Jian Liao, Shu-Lin Wu, Hong-Tao Liao, Yu-Mei Xue, Zexuan Wu\",\"doi\":\"10.1093/eurjpc/zwae390\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aims: </strong>Both genetic and environmental factors contribute to the development of ventricular arrhythmias (VAs). However, the extent to which genetic susceptibility modifies the effects of air pollutants on the risk of VAs remains poorly understood.</p><p><strong>Methods: </strong>This study included 491,305 participants without VAs at baseline from UK Biobank. Exposure to ambient air pollutants, including particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2) and nitrogen oxides (NOX), was estimated through land use regression modelling. The associations between air pollutants and the incidence of VAs were then investigated using a Cox proportional hazards model adjusted for covariates. Additionally, we established a polygenic risk score (PRS) for VAs and assessed the joint effect of genetic susceptibility and air pollution on incident VAs.</p><p><strong>Results: </strong>During a median follow-up of 14.3 years, 4,333 participants were diagnosed with VAs. Increased long-term exposure to PM2.5, PM10, NO2 and NOx was significantly associated with higher risks of VAs, with hazard ratios (HR) per quintile increase of 1.07 (95% confidence interval, 95% CI: 1.03-1.11), 1.07 (1.03-1.11), 1.10 (1.06-1.14) and 1.08 (1.05-1.12) for each pollutant respectively. Notably, there were significant additive interactions between air pollutants and genetic risk. Participants with both high genetic risk and high exposure to air pollution exhibited the greatest risk of VAs, with the highest HRs observed for PM2.5 (HR, 4.51; 95% CI, 3.66-5.56), PM10 (HR, 4.28; 95% CI, 3.52-5.22), NO2 (HR, 4.90; 95% CI, 3.97-6.03), and NOx (HR, 4.56; 95% CI, 3.72-5.60), respectively.</p><p><strong>Conclusions: </strong>Long-term exposure to air pollution is associated with an increased risk of VAs, especially in individuals with a high genetic risk.</p>\",\"PeriodicalId\":12051,\"journal\":{\"name\":\"European journal of preventive cardiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2024-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European journal of preventive cardiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/eurjpc/zwae390\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European journal of preventive cardiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/eurjpc/zwae390","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Air Pollution, Genetic Susceptibility, and the Risk of Ventricular Arrhythmias: A prospective cohort study in the UK Biobank.
Aims: Both genetic and environmental factors contribute to the development of ventricular arrhythmias (VAs). However, the extent to which genetic susceptibility modifies the effects of air pollutants on the risk of VAs remains poorly understood.
Methods: This study included 491,305 participants without VAs at baseline from UK Biobank. Exposure to ambient air pollutants, including particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2) and nitrogen oxides (NOX), was estimated through land use regression modelling. The associations between air pollutants and the incidence of VAs were then investigated using a Cox proportional hazards model adjusted for covariates. Additionally, we established a polygenic risk score (PRS) for VAs and assessed the joint effect of genetic susceptibility and air pollution on incident VAs.
Results: During a median follow-up of 14.3 years, 4,333 participants were diagnosed with VAs. Increased long-term exposure to PM2.5, PM10, NO2 and NOx was significantly associated with higher risks of VAs, with hazard ratios (HR) per quintile increase of 1.07 (95% confidence interval, 95% CI: 1.03-1.11), 1.07 (1.03-1.11), 1.10 (1.06-1.14) and 1.08 (1.05-1.12) for each pollutant respectively. Notably, there were significant additive interactions between air pollutants and genetic risk. Participants with both high genetic risk and high exposure to air pollution exhibited the greatest risk of VAs, with the highest HRs observed for PM2.5 (HR, 4.51; 95% CI, 3.66-5.56), PM10 (HR, 4.28; 95% CI, 3.52-5.22), NO2 (HR, 4.90; 95% CI, 3.97-6.03), and NOx (HR, 4.56; 95% CI, 3.72-5.60), respectively.
Conclusions: Long-term exposure to air pollution is associated with an increased risk of VAs, especially in individuals with a high genetic risk.
期刊介绍:
European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.