251. The Cardiopulmonary Effects of Ambient Air Pollution and Mechanistic Pathways: A Comparative Hierarchical Pathway Analysis
- Author
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Min Hu, Wei Huang, Duncan C. Thomas, Yuedan Wang, Guangfa Wang, Tong Zhu, Ping Zhu, David Q. Rich, Pamela Ohman-Strickland, Shou-En Lu, Howard M. Kipen, Junfeng Zhang, Ananya Roy, Sandrah P. Eckel, Scott R. Diehl, and Jicheng Gong
- Subjects
Time Factors ,Epidemiology ,lcsh:Medicine ,Physiology ,Systemic inflammation ,medicine.disease_cause ,Toxicology ,Mathematical and Statistical Techniques ,Medicine and Health Sciences ,Public and Occupational Health ,lcsh:Science ,Air Pollutants ,education.field_of_study ,Multidisciplinary ,Pollution ,Autonomic Agents ,3. Good health ,Physical Sciences ,Engineering and Technology ,Biomarker (medicine) ,medicine.symptom ,Environmental Health ,Statistics (Mathematics) ,Research Article ,Autonomic agent ,China ,Environmental Engineering ,Population ,Inflammation ,Biology ,Research and Analysis Methods ,Models, Biological ,Environmental Epidemiology ,Young Adult ,Air Pollution ,medicine ,Humans ,Statistical Methods ,education ,Pollutant ,Hemostasis ,lcsh:R ,Oxidative Stress Pathway ,Pneumonia ,Health Care ,Biomarker Epidemiology ,Oxidative Stress ,13. Climate action ,lcsh:Q ,Preventive Medicine ,Mathematics ,Biomarkers ,Oxidative stress - Abstract
Previous studies have investigated the associations between exposure to ambient air pollution and biomarkers of physiological pathways, yet little has been done on the comparison across biomarkers of different pathways to establish the temporal pattern of biological response. In the current study, we aim to compare the relative temporal patterns in responses of candidate pathways to different pollutants. Four biomarkers of pulmonary inflammation and oxidative stress, five biomarkers of systemic inflammation and oxidative stress, ten parameters of autonomic function, and three biomarkers of hemostasis were repeatedly measured in 125 young adults, along with daily concentrations of ambient CO, PM2.5, NO2, SO2, EC, OC, and sulfate, before, during, and after the Beijing Olympics. We used a two-stage modeling approach, including Stage I models to estimate the association between each biomarker and pollutant over each of 7 lags, and Stage II mixed-effect models to describe temporal patterns in the associations when grouping the biomarkers into the four physiological pathways. Our results show that candidate pathway groupings of biomarkers explained a significant amount of variation in the associations for each pollutant, and the temporal patterns of the biomarker-pollutant-lag associations varied across candidate pathways (p
- Published
- 2014