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Woeckel, M. ; Rospleszcz, S. ; Wolf, K. ; Breitner-Busch, S. ; Ingrisch, M.* ; Bamberg, F.* ; Ricke, J.* ; Schlett, C.L.* ; Storz, C.* ; Schneider, A.E. ; Stoecklein, S.* ; Peters, A.

Association between long-term exposure to traffic-related air pollution and cardio-metabolic phenotypes: An MRI data-based analysis.

Environ. Sci. Technol. 58, 18064-18075 (2024)
Verlagsversion DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Long-term exposure to traffic-related air pollution (TRAP) is associated with cardiometabolic disease; however, its role in subclinical stages of disease development is unclear. Thus, we aimed to explore this association in a cross-sectional analysis, with cardiometabolic phenotypes derived from magnetic resonance imaging (MRI). Phenotypes of the left (LV) and right cardiac ventricle, whole-body adipose tissue (AT), and organ-specific AT were obtained by MRI in 400 participants of the KORA cohort. Land-use regression models were used to estimate residential long-term exposures to TRAP, e.g., nitrogen dioxides (NO2) or particle number concentration (PNC). Associations between TRAP and MRI phenotypes were modeled using linear regression. Participants' mean age was 56 ± 9 years, and 42% were female. Long-term exposure to TRAP was associated with decreased LV wall thickness; a 6.0 μg/m3 increase in NO2 was associated with a -1.9% [95% confidence interval: -3.7%; -0.1%] decrease in mean global LV wall thickness. Furthermore, we found associations between TRAP and increased cardiac AT. A 2,242 n/cm3 increase in PNC was associated with a 4.3% [-1.7%; 10.4%] increase in mean total cardiac AT. Associations were more pronounced in women and in participants with diabetes. Our exploratory study indicates that long-term exposure to TRAP is associated with subclinical cardiometabolic disease states, particularly in metabolically vulnerable subgroups.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Cardiometabolic Disease ; Cross-sectional Study ; Magnetic Resonance Imaging ; Traffic-related Air Pollution ; Ultrafine Particles; Particulate Matter Exposure; Residential Proximity; Major Roadways; Heart; Population; Pm2.5; Particles; Disease; Models; Kora
Sprache englisch
Veröffentlichungsjahr 2024
HGF-Berichtsjahr 2024
ISSN (print) / ISBN 0013-936X
e-ISSN 1520-5851
Zeitschrift Environmental Science & Technology
Quellenangaben Band: 58, Heft: 41, Seiten: 18064-18075 Artikelnummer: , Supplement: ,
Verlag ACS
Verlagsort Washington, DC
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504000-010
G-504000-001
G-504090-001
Förderungen Siemens Healthcare
German Centre for Cardiovascular Disease Research (Berlin, Germany)
Centre for Diabetes Research (DZD e.V., Neuherberg, Germany)
German Research Foundation (DFG, Deutsche Forschungsgemeinschaft)
State of Bavaria
Helmholtz Zentrum Munchen-German Research Center for Environmental Health - German Federal Ministry of Education and Research (BMBF)
DOI 10.1021/acs.est.4c03163
WOS ID 001330039800001
Scopus ID 85205756742
PubMed ID 39365792
Erfassungsdatum 2024-10-05
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