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Sources, trigger points, and effect size of associations between PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) and fractional exhaled nitric oxide (FeNO): A panel study with 16 follow-up visits over 4 years.
Fu, Yucong; Jia, Wenhui; Zhang, Ningyu; Wang, Zhiyu; Zhang, Nan; Wang, Tong; Zhang, Nan; Xu, Jia; Yang, Xueli; Zhang, Qiang; Li, Changping; Zhang, Xumei; Yang, Wen; Han, Bin; Zhang, Liwen; Tang, Naijun; Bai, Zhipeng.
Afiliación
  • Fu Y; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research o
  • Jia W; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research o
  • Zhang N; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research o
  • Wang Z; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research o
  • Zhang N; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research o
  • Wang T; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research o
  • Zhang N; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
  • Xu J; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
  • Yang X; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research o
  • Zhang Q; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research o
  • Li C; Epidemiology and Biostatistics Institute, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
  • Zhang X; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China; Department of Nutrition and Food Science, School of Public Hea
  • Yang W; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
  • Han B; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
  • Zhang L; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research o
  • Tang N; Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research o
  • Bai Z; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Chemosphere ; 360: 142459, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38810807
ABSTRACT
Exposure to fine particulate matter (PM2.5) is a significant concern for respiratory health. However, the sources, trigger points, and effect size of specific associations between PM2.5 components, particularly polycyclic aromatic hydrocarbons (PAHs) and the airway inflammatory marker fractional exhaled nitric oxide (FeNO) have not been fully explored. In this study, 69 healthy college students were enrolled and followed up 16 times from 2014 to 2018. Individual FeNO was measured and ambient air PM2.5 samples were collected for 7 consecutive days before each follow-up. PAHs were quantified using Gas Chromatography-Mass Spectrometry. Linear mixed-effect regression models were employed to evaluate the associations between PM2.5-bound PAHs and FeNO. Additionally, PMF (Positive Matrix Factorization) was utilized to identify sources of PM2.5-bound PAHs and assess their impact on FeNO. Throughout the study, the average (SD) of ΣPAHs concentrations was 78.50 (128.9) ng/m3. PM2.5 and PM2.5-bound PAHs were significantly associated with FeNO at various lag days. Single-day lag analyses revealed maximum effects of PM2.5 on FeNO, with an increase of 7.71% (95% CI 4.67%, 10.83%) per interquartile range (IQR) (48.10 µg/m3) increase of PM2.5 at lag2, and ΣPAHs showed a maximum elevation in FeNO of 6.40% (95% CI 2.33%, 10.63%) at lag4 per IQR (57.39 ng/m3) increase. Individual PAHs exhibited diversity peak effects on FeNO at lag3 (6 of 17), lag4 (9 of 17) in the single-day model, and lag0-5 (8 of 17) (from lag0-1 to lag0-6) in the cumulative model. Source apportionment indicated coal combustion as the primary contributor (accounting for 30.7%). However, a maximum effect on FeNO (an increase of 21.57% (95% CI 13.58%, 30.13%) per IQR increase) was observed with traffic emissions at lag4. The findings imply that strategic regulation of particular sources of PAHs, like traffic emissions, during specific periods could significantly contribute to safeguarding public health.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hidrocarburos Policíclicos Aromáticos / Contaminantes Atmosféricos / Material Particulado / Óxido Nítrico Límite: Adult / Female / Humans / Male Idioma: En Revista: Chemosphere Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hidrocarburos Policíclicos Aromáticos / Contaminantes Atmosféricos / Material Particulado / Óxido Nítrico Límite: Adult / Female / Humans / Male Idioma: En Revista: Chemosphere Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido