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》。

IF 10.1 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Environmental Health Perspectives Pub Date : 2024-10-01 Epub Date: 2024-10-10 DOI:10.1289/EHP14291
Yudiyang Ma, Dankang Li, Feipeng Cui, Jianing Wang, Linxi Tang, Yingping Yang, Run Liu, Junqing Xie, Yaohua Tian
{"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}
引用次数: 0

摘要

背景:揭示基因与环境之间的相互作用可为早期疾病预防提供新的视角。然而,目前人们对遗传易感性和空气污染与心肌梗死(MI)风险之间相互作用的了解仍然有限。此外,空气污染物对心肌梗死发病风险的潜在长期影响还需要在社区人群中获得更多确凿证据:我们研究了遗传易感性和暴露于空气污染物对心肌梗死发病率的相互作用:该研究纳入了456,354名英国生物库参与者样本和英国环境、食品和农村事务部(2006-2021年)的年平均空气污染(PM2.5、PM10、二氧化氮和氮氧化物)数据。研究人员采用 Cox 比例危险模型来探讨长期暴露于空气污染物后的心肌梗死发病率。通过计算多基因风险评分(PRS)量化遗传风险,本研究进一步研究了遗传风险与暴露于空气污染物之间在心肌梗死发病过程中的加法和乘法效应:在 456 354 名参与者中,在 12.08 年的中位随访期间观察到 9 114 例心肌梗死事件。具体而言,PM2.5 的危险比(每四分位间范围)为 1.12(95% CI:1.10,1.13),PM10 为 1.20(95% CI:1.19,1.22),二氧化氮为 1.13(95% CI:1.12,1.15),氮氧化物为 1.12(95% CI:1.11,1.13)。就联合效应而言,在所有研究参与者中,高 PRS 和高空气污染暴露水平的参与者患心肌梗死的风险最大(255% 至 324%)。值得注意的是,在环境空气污染暴露和遗传风险对心肌梗死发病率的影响中,发现了乘法和加法的相互作用:讨论:环境空气污染物暴露和遗传易感性对心肌梗死发病风险存在相互作用。此外,这两种暴露的共同影响大于每个因素单独的影响。https://doi.org/10.1289/EHP14291。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 (PM2.5, PM10, NO2, and NOx) 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 PM2.5, 1.20 (95% CI: 1.19, 1.22) for PM10, 1.13 (95% CI: 1.12, 1.15) for NO2, and 1.12 (95% CI: 1.11, 1.13) for NOx. 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 (255% 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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Environmental Health Perspectives
Environmental Health Perspectives 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
14.40
自引率
2.90%
发文量
388
审稿时长
6 months
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信