{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T20:00:42Z","timestamp":1791316842430,"version":"4.3.1"},"reference-count":60,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"3","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Stroke"],"published-print":{"date-parts":[[2024,3]]},"abstract":"<jats:sec>\n            <jats:title>BACKGROUND:<\/jats:title>\n            <jats:p>Our primary objective was to assess the association between joint exposure to various air pollutants and the risk of ischemic stroke (IS) and the modification of the genetic susceptibility.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>METHODS:<\/jats:title>\n            <jats:p>This observational cohort study included 307\u2009304 British participants from the United Kingdom Biobank, who were stroke-free and possessed comprehensive baseline data on genetics, air pollutant exposure, alcohol consumption, and dietary habits. All participants were initially enrolled between 2006 and 2010 and were followed up until 2022. An air pollution score was calculated to assess joint exposure to 5 ambient air pollutants, namely particulate matter with diameters equal to or &lt;2.5 \u00b5m, ranging from 2.5 to 10 \u00b5m, equal to or &lt;10 \u00b5m, as well as nitrogen oxide and nitrogen dioxide. To evaluate individual genetic risk, a polygenic risk score for IS was calculated for each participant. We adjusted for demographic, social, economic, and health covariates. Cox regression models were utilized to estimate the associations between air pollution exposure, polygenic risk score, and the incidence of IS.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>RESULTS:<\/jats:title>\n            <jats:p>\n              Over a median follow-up duration of 13.67 years, a total of 2476 initial IS events were detected. The hazard ratios (95% CI) of IS for per 10 \u00b5g\/m\n              <jats:sup>3<\/jats:sup>\n              increase in particulate matter with diameters equal to or &lt;2.5 \u00b5m, ranging from 2.5 to 10 \u00b5m, equal to or &lt;10 \u00b5m, nitrogen dioxide, and nitrogen oxide were 1.73 (1.33\u20132.14), 1.24 (0.88\u20131.70), 1.13 (0.89\u20131.33), 1.03 (0.98\u20131.08), and 1.04 (1.02\u20131.07), respectively. Furthermore, individuals in the highest quintile of the air pollution score exhibited a 29% to 66% higher risk of IS compared with those in the lowest quintile. Notably, participants with both high polygenic risk score and air pollution score had a 131% (95% CI, 85%\u2013189%) greater risk of IS than participants with low polygenic risk score and air pollution score.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>CONCLUSIONS:<\/jats:title>\n            <jats:p>Our findings suggested that prolonged joint exposure to air pollutants may contribute to an increased risk of IS, particularly among individuals with elevated genetic susceptibility to IS.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/strokeaha.123.044935","type":"journal-article","created":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T10:08:02Z","timestamp":1706782082000},"page":"660-669","update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":16,"title":["Joint Exposure to Ambient Air Pollutants, Genetic Risk, and Ischemic Stroke: A Prospective Analysis in UK Biobank"],"prefix":"10.1161","volume":"55","author":[{"given":"Panlong","family":"Li","sequence":"first","affiliation":[{"name":"Department of Medical Imaging (P.L., Y.B., Y. Wu, W.W., M.W.), Henan Provincial People\u2019s Hospital and Zhengzhou University People\u2019s Hospital, China."},{"name":"School of Electrical and Information Engineering, Zhengzhou University of Light Industry, China (P.L., X.Z., Yanfeng Wang, C.H.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China (Ying Wang)."},{"name":"School of Public Health, Zhengzhou University (Ying Wang)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dandan","family":"Tian","sequence":"additional","affiliation":[{"name":"Department of Hypertension (D.T., M.L.), Henan Provincial People\u2019s Hospital and Zhengzhou University People\u2019s Hospital, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Hypertension (D.T., M.L.), Henan Provincial People\u2019s Hospital and Zhengzhou University People\u2019s Hospital, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xirui","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Zhengzhou University of Light Industry, China (P.L., X.Z., Yanfeng Wang, C.H.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanfeng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Zhengzhou University of Light Industry, China (P.L., X.Z., Yanfeng Wang, C.H.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0249-058X","authenticated-orcid":true,"given":"Chun","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Zhengzhou University of Light Industry, China (P.L., X.Z., Yanfeng Wang, C.H.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Bai","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging (P.L., Y.B., Y. 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