Loading…
The Cardiopulmonary Effects of Ambient Air Pollution and Mechanistic Pathways: A Comparative Hierarchical Pathway Analysis: e114913
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, w...
Saved in:
Published in: | PloS one 2014-12, Vol.9 (12) |
---|---|
Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | |
container_issue | 12 |
container_start_page | |
container_title | PloS one |
container_volume | 9 |
creator | Roy, Ananya Gong, Jicheng Thomas, Duncan C Zhang, Junfeng Kipen, Howard M Rich, David Q Zhu, Tong Huang, Wei Hu, Min Wang, Guangfa |
description | 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 |
doi_str_mv | 10.1371/journal.pone.0114913 |
format | article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1654676633</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1654676633</sourcerecordid><originalsourceid>FETCH-proquest_miscellaneous_16546766333</originalsourceid><addsrcrecordid>eNqVzr1OwzAUQGELCakF-gYMd2RpsOvWpWxRVNQFqUP36uLeKLdy7OAfUGZenErAAzCd5RuOEPdKVkqv1eM5lOjRVUPwVEmllhulr8RUbfRibhZST8RNSmcpV_rJmKn4OnQEDcYTh6G4PniMI2zblmxOEFqo-zcmn6HmCPvgXMkcPKA_wSvZDj2nzBb2mLtPHNMz1NCEfsCImT8IdkwRo-3YovtDUF_2xsQXTD97d-K6RZdo9ttb8fCyPTS7-RDDe6GUjz0nS86hp1DSUZnV0qyN0Vr_g34DB75cAA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1654676633</pqid></control><display><type>article</type><title>The Cardiopulmonary Effects of Ambient Air Pollution and Mechanistic Pathways: A Comparative Hierarchical Pathway Analysis: e114913</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Roy, Ananya ; Gong, Jicheng ; Thomas, Duncan C ; Zhang, Junfeng ; Kipen, Howard M ; Rich, David Q ; Zhu, Tong ; Huang, Wei ; Hu, Min ; Wang, Guangfa</creator><creatorcontrib>Roy, Ananya ; Gong, Jicheng ; Thomas, Duncan C ; Zhang, Junfeng ; Kipen, Howard M ; Rich, David Q ; Zhu, Tong ; Huang, Wei ; Hu, Min ; Wang, Guangfa</creatorcontrib><description>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.</description><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0114913</identifier><language>eng</language><ispartof>PloS one, 2014-12, Vol.9 (12)</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902,36990</link.rule.ids></links><search><creatorcontrib>Roy, Ananya</creatorcontrib><creatorcontrib>Gong, Jicheng</creatorcontrib><creatorcontrib>Thomas, Duncan C</creatorcontrib><creatorcontrib>Zhang, Junfeng</creatorcontrib><creatorcontrib>Kipen, Howard M</creatorcontrib><creatorcontrib>Rich, David Q</creatorcontrib><creatorcontrib>Zhu, Tong</creatorcontrib><creatorcontrib>Huang, Wei</creatorcontrib><creatorcontrib>Hu, Min</creatorcontrib><creatorcontrib>Wang, Guangfa</creatorcontrib><title>The Cardiopulmonary Effects of Ambient Air Pollution and Mechanistic Pathways: A Comparative Hierarchical Pathway Analysis: e114913</title><title>PloS one</title><description>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.</description><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqVzr1OwzAUQGELCakF-gYMd2RpsOvWpWxRVNQFqUP36uLeKLdy7OAfUGZenErAAzCd5RuOEPdKVkqv1eM5lOjRVUPwVEmllhulr8RUbfRibhZST8RNSmcpV_rJmKn4OnQEDcYTh6G4PniMI2zblmxOEFqo-zcmn6HmCPvgXMkcPKA_wSvZDj2nzBb2mLtPHNMz1NCEfsCImT8IdkwRo-3YovtDUF_2xsQXTD97d-K6RZdo9ttb8fCyPTS7-RDDe6GUjz0nS86hp1DSUZnV0qyN0Vr_g34DB75cAA</recordid><startdate>20141201</startdate><enddate>20141201</enddate><creator>Roy, Ananya</creator><creator>Gong, Jicheng</creator><creator>Thomas, Duncan C</creator><creator>Zhang, Junfeng</creator><creator>Kipen, Howard M</creator><creator>Rich, David Q</creator><creator>Zhu, Tong</creator><creator>Huang, Wei</creator><creator>Hu, Min</creator><creator>Wang, Guangfa</creator><scope>7T2</scope><scope>7TV</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>20141201</creationdate><title>The Cardiopulmonary Effects of Ambient Air Pollution and Mechanistic Pathways: A Comparative Hierarchical Pathway Analysis: e114913</title><author>Roy, Ananya ; Gong, Jicheng ; Thomas, Duncan C ; Zhang, Junfeng ; Kipen, Howard M ; Rich, David Q ; Zhu, Tong ; Huang, Wei ; Hu, Min ; Wang, Guangfa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_miscellaneous_16546766333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roy, Ananya</creatorcontrib><creatorcontrib>Gong, Jicheng</creatorcontrib><creatorcontrib>Thomas, Duncan C</creatorcontrib><creatorcontrib>Zhang, Junfeng</creatorcontrib><creatorcontrib>Kipen, Howard M</creatorcontrib><creatorcontrib>Rich, David Q</creatorcontrib><creatorcontrib>Zhu, Tong</creatorcontrib><creatorcontrib>Huang, Wei</creatorcontrib><creatorcontrib>Hu, Min</creatorcontrib><creatorcontrib>Wang, Guangfa</creatorcontrib><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Pollution Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roy, Ananya</au><au>Gong, Jicheng</au><au>Thomas, Duncan C</au><au>Zhang, Junfeng</au><au>Kipen, Howard M</au><au>Rich, David Q</au><au>Zhu, Tong</au><au>Huang, Wei</au><au>Hu, Min</au><au>Wang, Guangfa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Cardiopulmonary Effects of Ambient Air Pollution and Mechanistic Pathways: A Comparative Hierarchical Pathway Analysis: e114913</atitle><jtitle>PloS one</jtitle><date>2014-12-01</date><risdate>2014</risdate><volume>9</volume><issue>12</issue><eissn>1932-6203</eissn><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.</abstract><doi>10.1371/journal.pone.0114913</doi></addata></record> |
fulltext | fulltext |
identifier | EISSN: 1932-6203 |
ispartof | PloS one, 2014-12, Vol.9 (12) |
issn | 1932-6203 |
language | eng |
recordid | cdi_proquest_miscellaneous_1654676633 |
source | Publicly Available Content Database; PubMed Central |
title | The Cardiopulmonary Effects of Ambient Air Pollution and Mechanistic Pathways: A Comparative Hierarchical Pathway Analysis: e114913 |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T10%3A39%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Cardiopulmonary%20Effects%20of%20Ambient%20Air%20Pollution%20and%20Mechanistic%20Pathways:%20A%20Comparative%20Hierarchical%20Pathway%20Analysis:%20e114913&rft.jtitle=PloS%20one&rft.au=Roy,%20Ananya&rft.date=2014-12-01&rft.volume=9&rft.issue=12&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0114913&rft_dat=%3Cproquest%3E1654676633%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-proquest_miscellaneous_16546766333%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1654676633&rft_id=info:pmid/&rfr_iscdi=true |