Evidence map›Paper›PMID 25502951›Full record

ArticlePloS one2014

The cardiopulmonary effects of ambient air pollution and mechanistic pathways: a comparative hierarchical pathway analysis.

Ananya Roy, Jicheng Gong, Duncan C Thomas, Junfeng Zhang, Howard M Kipen, David Q Rich, Tong Zhu, Wei Huang, Min Hu, Guangfa Wang and 6 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.4field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 53 citations in OpenAlex.

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  10. A New Combined Air Quality and Heat Index in Relation to Mortality in Monterrey, Mexico.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 9 institutions in 2 countries.

Ananya RoyDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, United States of America.
Jicheng GongDuke University, Nicholas School of the Environment and Duke Global Health Institute, Durham, North Carolina, United States of America.
Duncan C ThomasUniversity of Southern California, Keck School of Medicine, Department of Preventive Medicine, Los Angeles, California, United States of America.
Junfeng ZhangDuke University, Nicholas School of the Environment and Duke Global Health Institute, Durham, North Carolina, United States of America.
Howard M KipenEnvironmental and Occupational Health Sciences Institute, Rutgers Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, United States of America.
David Q RichUniversity of Rochester, School of Medicine and Dentistry, Department of Public Health Sciences. Rochester, New York, United States of America.
Tong ZhuPeking University, State Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and the Center for Environment and Health, Beijing, China.
Wei HuangPeking University, School of Public Health, Department of Occupational and Environmental Health and Institute of Environmental Medicine, Beijing, China.
Min HuPeking University, State Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and the Center for Environment and Health, Beijing, China.
Guangfa WangPeking University First Hospital, Department of Pulmonary Medicine, Beijing, China.
Yuedan WangPeking University Health Sciences Center, Department of Immunology, Beijing, China.
Ping ZhuPeking University First Hospital, Department of Hematology, Beijing, China.
Shou-En LuRutgers School of Public Health, Department of Biostatistics, Piscataway, New Jersey, United States of America.
Pamela Ohman-StricklandRutgers School of Public Health, Department of Biostatistics, Piscataway, New Jersey, United States of America.
Scott R DiehlRutgers School of Dentistry, Center for Pharmacogenomics and Complex Disease, Newark, New Jersey, United States of America.
Sandrah P EckelUniversity of Southern California, Keck School of Medicine, Department of Preventive Medicine, Los Angeles, California, United States of America.
Peking University · CNRutgers, The State University of New Jersey · USState Key Joint Laboratory of Environment Simulation and Pollution Control · CNUniversity of Southern California · USDuke Institute for Health Innovation · USDuke University · USEnvironmental and Occupational Health Sciences Institute · USUniversity of Rochester · USYale University · US

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI PANOS G. GEORGOPOULOS · 1988 to 2026
$47.4M
Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Methods for Pathway Modeling with Application to FolateR01ES019876 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, DUNCAN C. · 2010 to 2014
$2.9M
Responses to Drastic Changes in Air Pollution: Reversibility and SusceptibilityR01ES015864 · NIEHS · UNIV OF MED/DENT NJ-SCH OF PUBLIC HEALTH · PI ZHANG, JUNFENG · 2008 to 2010
$1.2M
NIEHS NIH HHS 1R01ES015864NIEHS NIH HHS 5P30ES007048NIEHS NIH HHS P30 ES005022NIEHS NIH HHS P30ES005022NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R01 ES015864NIEHS NIH HHS R01 ES019876
6 · The paper itself

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<0.0001) and were not linear (from lag 0 to lag 3: p = 0.0629, from lag 3 to lag 6: p = 0.0005). These findings suggest that, among this healthy young adult population, the pulmonary inflammation and oxidative stress pathway is the first to respond to ambient air pollution exposure (within 24 hours) and the hemostasis pathway responds gradually over a 2-3 day period. The initial pulmonary response may contribute to the more gradual systemic changes that likely ultimately involve the cardiovascular system.

Indexed as

Air PollutantsAutonomic AgentsBiomarkersChinaHemostasisHumansInflammationModels, BiologicalOxidative StressPneumoniaTime FactorsYoung AdultAir PollutantsAutonomic AgentsBiomarkers

Identifiers

PMID25502951
PMCPMC4264846
OpenAlexW2083332491

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.