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Ambient Air Pollutants and Traffic Factors Were Associated with Blood and Urine Biomarkers and Asthma Risk.
Cheng, Haoxiang; Narzo, Antonio Di; Howell, Daniel; Yevdokimova, Kateryna; Zhang, Jushan; Zhang, Xingmin; Pan, Qi; Zhang, Zhongyang; Rogers, Linda; Hao, Ke.
Afiliação
  • Cheng H; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
  • Narzo AD; Sema4, Stamford, Connecticut 06902, United States.
  • Howell D; Division of Pulmonary Critical Care, Woodhull Hospital, New York University, New York, New York 11206, United States.
  • Yevdokimova K; Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
  • Zhang J; Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 200072, China.
  • Zhang X; College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.
  • Pan Q; Sema4, Stamford, Connecticut 06902, United States.
  • Zhang Z; Sema4, Stamford, Connecticut 06902, United States.
  • Rogers L; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
  • Hao K; Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
Environ Sci Technol ; 56(11): 7298-7307, 2022 06 07.
Article em En | MEDLINE | ID: mdl-35239329
ABSTRACT
The UK Biobank (UKBB) is a large population-based cohort that provides a unique opportunity to study the association between environmental exposure and biomarkers and to identify biomarkers as potential instruments for assessing exposure dose, health damage, and disease risks. On 462 063 participants of European ancestry, we characterized the relationship of 38 disease-relevant biomarkers, asthma diagnosis, ambient pollution, traffic factors, and genetic background. The air pollutant exposure on the UKBB cohort was fairly low (e.g., mean PM2.5 concentration at 10.0 µg/m3). Nevertheless, 30 biomarkers were in association with at least one environmental factor; e.g., C-reactive protein levels were positively associated with NO (padj = 2.99 × 10-4), NO2 (padj = 4.15 × 10-4), and PM2.5 (padj = 1.92 × 10-6) even after multiple testing adjustment. Asthma diagnosis was associated with four pollutants (NO, NO2, PM2.5, and PM10). The largest effect size was observed in PM2.5, where a 5 µg/m3 increment of exposure was associated with a 1.52 increase in asthma diagnosis (p = 4.41 × 10-13). Further, environmental exposure and genetic predisposition influenced biomarker levels and asthma diagnosis in an additive model. The exposure-biomarker associations identified in this study could serve as potential indicators for environmental exposure induced health damages. Our results also shed light on possible mechanisms whereby environmental exposure influences disease-causing biomarkers and in turn increases disease risk.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Asma / Poluentes Atmosféricos / Poluição do Ar / Poluentes Ambientais Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Asma / Poluentes Atmosféricos / Poluição do Ar / Poluentes Ambientais Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article