{"title":"空气污染物暴露与心肌梗死发病率:探索基因与环境相互作用的英国生物库研究》。","authors":"Yudiyang Ma, Dankang Li, Feipeng Cui, Jianing Wang, Linxi Tang, Yingping Yang, Run Liu, Junqing Xie, Yaohua Tian","doi":"10.1289/EHP14291","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Unraveling gene-environment interaction can provide a novel insight into early disease prevention. Nevertheless, current understanding of the interplay between genetic predisposition and air pollution in relation to myocardial infarction (MI) risk remains limited. Furthermore, the potential long-term influence of air pollutants on MI incidence risk warrants more conclusive evidence in a community population.</p><p><strong>Objective: </strong>We investigated interactions between genetic predisposition and exposure to air pollutants on MI incidence.</p><p><strong>Methods: </strong>This study incorporated a sample of 456,354 UK Biobank participants and annual mean air pollution (<math><mrow><mrow><msub><mrow><mrow><mi>PM</mi></mrow></mrow><mrow><mrow><mn>2.5</mn></mrow></mrow></msub></mrow></mrow></math>, <math><mrow><mrow><msub><mrow><mrow><mi>PM</mi></mrow></mrow><mrow><mrow><mn>10</mn></mrow></mrow></msub></mrow></mrow></math>, <math><mrow><mrow><msub><mrow><mi>NO</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></mrow></math>, and <math><mrow><mrow><msub><mrow><mi>NO</mi></mrow><mrow><mi>x</mi></mrow></msub></mrow></mrow></math>) from the UK Department for Environment, Food and Rural Affairs (2006-2021). The Cox proportional hazards model was employed to explore MI incidence after chronic air pollutants exposure. By quantifying genetic risk through the calculation of polygenic risk score (PRS), this study further examined the interactions between genetic risk and exposure to air pollutants in the development of MI on both additive and multiplicative scales.</p><p><strong>Results: </strong>Among 456,354 participants, 9,114 incident MI events were observed during a median follow-up of 12.08 y. Chronic exposure to air pollutants was linked with an increased risk of MI occurrence. Specifically, the hazard ratios (per interquartile range) were 1.12 (95% CI: 1.10, 1.13) for <math><mrow><mrow><msub><mrow><mrow><mi>PM</mi></mrow></mrow><mrow><mrow><mn>2.5</mn></mrow></mrow></msub></mrow></mrow></math>, 1.20 (95% CI: 1.19, 1.22) for <math><mrow><mrow><msub><mrow><mrow><mi>PM</mi></mrow></mrow><mrow><mrow><mn>10</mn></mrow></mrow></msub></mrow></mrow></math>, 1.13 (95% CI: 1.12, 1.15) for <math><mrow><mrow><msub><mrow><mi>NO</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></mrow></math>, and 1.12 (95% CI: 1.11, 1.13) for <math><mrow><mrow><msub><mrow><mi>NO</mi></mrow><mrow><mi>x</mi></mrow></msub></mrow></mrow></math>. In terms of the joint effects, participants with high PRS and high level of air pollution exposure exhibited the greatest risk of MI among all study participants (<math><mrow><mo>∼</mo><mn>255</mn><mo>%</mo></mrow></math> to 324%). Remarkably, both multiplicative and additive interactions were detected in the ambient air pollutants exposure and genetic risk on the incidence of MI.</p><p><strong>Discussion: </strong>There were interactions between exposure to ambient air pollutants and genetic susceptibility on the risk of MI onset. Moreover, the joint effects of these two exposures were greater than the effect of each factor alone. https://doi.org/10.1289/EHP14291.</p>","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":"132 10","pages":"107002"},"PeriodicalIF":10.1000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11466320/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exposure to Air Pollutants and Myocardial Infarction Incidence: A UK Biobank Study Exploring Gene-Environment Interaction.\",\"authors\":\"Yudiyang Ma, Dankang Li, Feipeng Cui, Jianing Wang, Linxi Tang, Yingping Yang, Run Liu, Junqing Xie, Yaohua Tian\",\"doi\":\"10.1289/EHP14291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Unraveling gene-environment interaction can provide a novel insight into early disease prevention. Nevertheless, current understanding of the interplay between genetic predisposition and air pollution in relation to myocardial infarction (MI) risk remains limited. Furthermore, the potential long-term influence of air pollutants on MI incidence risk warrants more conclusive evidence in a community population.</p><p><strong>Objective: </strong>We investigated interactions between genetic predisposition and exposure to air pollutants on MI incidence.</p><p><strong>Methods: </strong>This study incorporated a sample of 456,354 UK Biobank participants and annual mean air pollution (<math><mrow><mrow><msub><mrow><mrow><mi>PM</mi></mrow></mrow><mrow><mrow><mn>2.5</mn></mrow></mrow></msub></mrow></mrow></math>, <math><mrow><mrow><msub><mrow><mrow><mi>PM</mi></mrow></mrow><mrow><mrow><mn>10</mn></mrow></mrow></msub></mrow></mrow></math>, <math><mrow><mrow><msub><mrow><mi>NO</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></mrow></math>, and <math><mrow><mrow><msub><mrow><mi>NO</mi></mrow><mrow><mi>x</mi></mrow></msub></mrow></mrow></math>) from the UK Department for Environment, Food and Rural Affairs (2006-2021). The Cox proportional hazards model was employed to explore MI incidence after chronic air pollutants exposure. By quantifying genetic risk through the calculation of polygenic risk score (PRS), this study further examined the interactions between genetic risk and exposure to air pollutants in the development of MI on both additive and multiplicative scales.</p><p><strong>Results: </strong>Among 456,354 participants, 9,114 incident MI events were observed during a median follow-up of 12.08 y. Chronic exposure to air pollutants was linked with an increased risk of MI occurrence. Specifically, the hazard ratios (per interquartile range) were 1.12 (95% CI: 1.10, 1.13) for <math><mrow><mrow><msub><mrow><mrow><mi>PM</mi></mrow></mrow><mrow><mrow><mn>2.5</mn></mrow></mrow></msub></mrow></mrow></math>, 1.20 (95% CI: 1.19, 1.22) for <math><mrow><mrow><msub><mrow><mrow><mi>PM</mi></mrow></mrow><mrow><mrow><mn>10</mn></mrow></mrow></msub></mrow></mrow></math>, 1.13 (95% CI: 1.12, 1.15) for <math><mrow><mrow><msub><mrow><mi>NO</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></mrow></math>, and 1.12 (95% CI: 1.11, 1.13) for <math><mrow><mrow><msub><mrow><mi>NO</mi></mrow><mrow><mi>x</mi></mrow></msub></mrow></mrow></math>. In terms of the joint effects, participants with high PRS and high level of air pollution exposure exhibited the greatest risk of MI among all study participants (<math><mrow><mo>∼</mo><mn>255</mn><mo>%</mo></mrow></math> to 324%). Remarkably, both multiplicative and additive interactions were detected in the ambient air pollutants exposure and genetic risk on the incidence of MI.</p><p><strong>Discussion: </strong>There were interactions between exposure to ambient air pollutants and genetic susceptibility on the risk of MI onset. Moreover, the joint effects of these two exposures were greater than the effect of each factor alone. https://doi.org/10.1289/EHP14291.</p>\",\"PeriodicalId\":11862,\"journal\":{\"name\":\"Environmental Health Perspectives\",\"volume\":\"132 10\",\"pages\":\"107002\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11466320/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Health Perspectives\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1289/EHP14291\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/10 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Health Perspectives","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1289/EHP14291","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Exposure to Air Pollutants and Myocardial Infarction Incidence: A UK Biobank Study Exploring Gene-Environment Interaction.
Background: Unraveling gene-environment interaction can provide a novel insight into early disease prevention. Nevertheless, current understanding of the interplay between genetic predisposition and air pollution in relation to myocardial infarction (MI) risk remains limited. Furthermore, the potential long-term influence of air pollutants on MI incidence risk warrants more conclusive evidence in a community population.
Objective: We investigated interactions between genetic predisposition and exposure to air pollutants on MI incidence.
Methods: This study incorporated a sample of 456,354 UK Biobank participants and annual mean air pollution (, , , and ) from the UK Department for Environment, Food and Rural Affairs (2006-2021). The Cox proportional hazards model was employed to explore MI incidence after chronic air pollutants exposure. By quantifying genetic risk through the calculation of polygenic risk score (PRS), this study further examined the interactions between genetic risk and exposure to air pollutants in the development of MI on both additive and multiplicative scales.
Results: Among 456,354 participants, 9,114 incident MI events were observed during a median follow-up of 12.08 y. Chronic exposure to air pollutants was linked with an increased risk of MI occurrence. Specifically, the hazard ratios (per interquartile range) were 1.12 (95% CI: 1.10, 1.13) for , 1.20 (95% CI: 1.19, 1.22) for , 1.13 (95% CI: 1.12, 1.15) for , and 1.12 (95% CI: 1.11, 1.13) for . In terms of the joint effects, participants with high PRS and high level of air pollution exposure exhibited the greatest risk of MI among all study participants ( to 324%). Remarkably, both multiplicative and additive interactions were detected in the ambient air pollutants exposure and genetic risk on the incidence of MI.
Discussion: There were interactions between exposure to ambient air pollutants and genetic susceptibility on the risk of MI onset. Moreover, the joint effects of these two exposures were greater than the effect of each factor alone. https://doi.org/10.1289/EHP14291.
期刊介绍:
Environmental Health Perspectives (EHP) is a monthly peer-reviewed journal supported by the National Institute of Environmental Health Sciences, part of the National Institutes of Health under the U.S. Department of Health and Human Services. Its mission is to facilitate discussions on the connections between the environment and human health by publishing top-notch research and news. EHP ranks third in Public, Environmental, and Occupational Health, fourth in Toxicology, and fifth in Environmental Sciences.