Association of environmental pollutants with asthma and allergy, and the mediating role of oxidative stress and immune markers in adolescents
Asthma and allergic diseases are among the common causes of morbidity and mortality globally. Various environmental pollutants are linked to the development of asthma and allergic diseases. Evidence on the role of oxidative stress and immune markers in the association of environmental pollutants wit...
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creator | Hassen, Hamid Y. Govarts, Eva Remy, Sylvie Cox, Bianca Iszatt, Nina Portengen, Lützen Covaci, Adrian Schoeters, Greet Den Hond, Elly Henauw, Stefaan De Bruckers, Liesbeth Koppen, Gudrun Verheyen, Veerle J. |
description | Asthma and allergic diseases are among the common causes of morbidity and mortality globally. Various environmental pollutants are linked to the development of asthma and allergic diseases. Evidence on the role of oxidative stress and immune markers in the association of environmental pollutants with asthma and allergy is scant. We examined cross-sectional associations between environmental pollutants and asthma and allergy, investigated mixture effects and possible mediation by oxidative stress or immune markers.
We used data from the Flemish Environment and Health Study 2016–2020 (FLEHS IV), including 409 adolescents aged 13–16 years. Fifty-four pollutants, including metals, phthalates, Di(isononyl) cyclohexane-1,2-dicarboxylate (DINCH), bisphenols, currently used and legacy pesticides, flame retardants, per- and polyfluoroalkyl substances (PFAS), polyaromatic hydrocarbons (PAHs), and polychlorinated biphenyls (PCBs) were analyzed. Outcomes were self-reported asthma, rhinitis, eczema, allergies, respiratory infection, and airway inflammation, measured through fractional exhaled nitric oxide (FeNO). Single pollutant models using multiple regression analysis and multipollutant models using Bayesian Kernel Machine Regression (BKMR) were fitted. As sensitivity analysis, Bayesian model averaging (BMA) and elastic net (ENET) models were also performed. For Bayesian models, posterior inclusion probabilities (PIP) were used to identify the most important chemicals. Mediation analysis was performed to investigate the role of oxidative stress, measured by urinary 8-hydroxy-2' -deoxyguanosine (8-OHdG), and immune markers (eosinophils, basophils, InterLeukin 8, InterLeukin 6, and Interferon-ᵧ in blood).
In single pollutant models, FeNO was significantly higher by 20% (95% CI: 6, 36%) and 13% (95% CI: 2, 25%) per interquartile range (IQR) fold in mono-n-butyl phthalate (MnBP) and mono-benzyl phthalate (MBzP), respectively. In BKMR analysis, the group PIPs indicated phthalates and DINCH as the most important group (group PIP = 0.509), with MnBP being the most important pollutant within that group (conditional PIP = 0.564; %change = 28%; 95%CI: 6, 54%). Similar patterns were observed in all multipollutant models. Eosinophil count mediated 37.8% (p = 0.018) and 27.9% (p = 0.045) of the association between MBzP and FeNO, and the association between MnBP and FeNO, respectively. 8-OHdG plays a significant mediating role in the association of 2,4-Dichlorophenoxyacetic acid |
doi_str_mv | 10.1016/j.envres.2024.120445 |
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We used data from the Flemish Environment and Health Study 2016–2020 (FLEHS IV), including 409 adolescents aged 13–16 years. Fifty-four pollutants, including metals, phthalates, Di(isononyl) cyclohexane-1,2-dicarboxylate (DINCH), bisphenols, currently used and legacy pesticides, flame retardants, per- and polyfluoroalkyl substances (PFAS), polyaromatic hydrocarbons (PAHs), and polychlorinated biphenyls (PCBs) were analyzed. Outcomes were self-reported asthma, rhinitis, eczema, allergies, respiratory infection, and airway inflammation, measured through fractional exhaled nitric oxide (FeNO). Single pollutant models using multiple regression analysis and multipollutant models using Bayesian Kernel Machine Regression (BKMR) were fitted. As sensitivity analysis, Bayesian model averaging (BMA) and elastic net (ENET) models were also performed. For Bayesian models, posterior inclusion probabilities (PIP) were used to identify the most important chemicals. Mediation analysis was performed to investigate the role of oxidative stress, measured by urinary 8-hydroxy-2' -deoxyguanosine (8-OHdG), and immune markers (eosinophils, basophils, InterLeukin 8, InterLeukin 6, and Interferon-ᵧ in blood).
In single pollutant models, FeNO was significantly higher by 20% (95% CI: 6, 36%) and 13% (95% CI: 2, 25%) per interquartile range (IQR) fold in mono-n-butyl phthalate (MnBP) and mono-benzyl phthalate (MBzP), respectively. In BKMR analysis, the group PIPs indicated phthalates and DINCH as the most important group (group PIP = 0.509), with MnBP being the most important pollutant within that group (conditional PIP = 0.564; %change = 28%; 95%CI: 6, 54%). Similar patterns were observed in all multipollutant models. Eosinophil count mediated 37.8% (p = 0.018) and 27.9% (p = 0.045) of the association between MBzP and FeNO, and the association between MnBP and FeNO, respectively. 8-OHdG plays a significant mediating role in the association of 2,4-Dichlorophenoxyacetic acid (2,4-D) (55.4%), 3,5,6-Trichloro-2-pyridinol (TCPY) (48.1%), and 1-Naphthylamine (1-NAP) (32.7%) with rhinitis, while the total effects of these chemicals on rhinitis were not statistically significant.
This study found associations between phthalates, MnBP and MBzP, and elevated FeNO, which appeared to be mediated by eosinophil count. 8-OHdG plays a significant mediating role in the association between 2,4-D, TCPY, and 1-NAP with rhinitis, while their direct effects remain non-significant. Use of inflammatory and oxidative stress markers can enhance the understanding of inflammatory processes in asthma and allergic diseases due to environmental pollutants.
•The study explored links between environmental pollutants and asthma/allergy in adolescents.•MnBP and MBzP were positively linked to FeNO, a biomarker of airway inflammation related to asthma.•Eosinophil count mediated the relationship between phthalates and increased FeNO.•8-OHdG, an oxidative stress marker, may link certain pesticides and PAHs to allergic rhinitis.</description><identifier>ISSN: 0013-9351</identifier><identifier>ISSN: 1096-0953</identifier><identifier>EISSN: 1096-0953</identifier><identifier>DOI: 10.1016/j.envres.2024.120445</identifier><identifier>PMID: 39586518</identifier><language>eng</language><publisher>Netherlands: Elsevier Inc</publisher><subject>Adolescent ; Adolescents ; Airway inflammation ; Allergy ; Asthma ; Asthma - chemically induced ; Asthma - epidemiology ; Belgium - epidemiology ; Biomarkers - blood ; Cross-Sectional Studies ; Environmental Exposure - adverse effects ; Environmental Pollutants - toxicity ; Female ; Human biomonitoring ; Humans ; Hypersensitivity - epidemiology ; Immune biomarkers ; Male ; Mixture ; Oxidative stress ; Oxidative Stress - drug effects</subject><ispartof>Environmental research, 2025-01, Vol.265, p.120445, Article 120445</ispartof><rights>2024 The Authors</rights><rights>Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.</rights><rights>2024 The Authors 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c297t-e07f4b5164be53050c757878ae9ec18c132ebbc7f39d59a97db48f10dfb49a7e3</cites><orcidid>0000-0002-8977-156X ; 0000-0001-9824-6276 ; 0000-0003-0527-1136 ; 0000-0002-5262-5665 ; 0000-0002-6075-4862 ; 0000-0001-6485-4193 ; 0000-0003-1537-1843 ; 0000-0002-6978-3002</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.envres.2024.120445$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39586518$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hassen, Hamid Y.</creatorcontrib><creatorcontrib>Govarts, Eva</creatorcontrib><creatorcontrib>Remy, Sylvie</creatorcontrib><creatorcontrib>Cox, Bianca</creatorcontrib><creatorcontrib>Iszatt, Nina</creatorcontrib><creatorcontrib>Portengen, Lützen</creatorcontrib><creatorcontrib>Covaci, Adrian</creatorcontrib><creatorcontrib>Schoeters, Greet</creatorcontrib><creatorcontrib>Den Hond, Elly</creatorcontrib><creatorcontrib>Henauw, Stefaan De</creatorcontrib><creatorcontrib>Bruckers, Liesbeth</creatorcontrib><creatorcontrib>Koppen, Gudrun</creatorcontrib><creatorcontrib>Verheyen, Veerle J.</creatorcontrib><title>Association of environmental pollutants with asthma and allergy, and the mediating role of oxidative stress and immune markers in adolescents</title><title>Environmental research</title><addtitle>Environ Res</addtitle><description>Asthma and allergic diseases are among the common causes of morbidity and mortality globally. Various environmental pollutants are linked to the development of asthma and allergic diseases. Evidence on the role of oxidative stress and immune markers in the association of environmental pollutants with asthma and allergy is scant. We examined cross-sectional associations between environmental pollutants and asthma and allergy, investigated mixture effects and possible mediation by oxidative stress or immune markers.
We used data from the Flemish Environment and Health Study 2016–2020 (FLEHS IV), including 409 adolescents aged 13–16 years. Fifty-four pollutants, including metals, phthalates, Di(isononyl) cyclohexane-1,2-dicarboxylate (DINCH), bisphenols, currently used and legacy pesticides, flame retardants, per- and polyfluoroalkyl substances (PFAS), polyaromatic hydrocarbons (PAHs), and polychlorinated biphenyls (PCBs) were analyzed. Outcomes were self-reported asthma, rhinitis, eczema, allergies, respiratory infection, and airway inflammation, measured through fractional exhaled nitric oxide (FeNO). Single pollutant models using multiple regression analysis and multipollutant models using Bayesian Kernel Machine Regression (BKMR) were fitted. As sensitivity analysis, Bayesian model averaging (BMA) and elastic net (ENET) models were also performed. For Bayesian models, posterior inclusion probabilities (PIP) were used to identify the most important chemicals. Mediation analysis was performed to investigate the role of oxidative stress, measured by urinary 8-hydroxy-2' -deoxyguanosine (8-OHdG), and immune markers (eosinophils, basophils, InterLeukin 8, InterLeukin 6, and Interferon-ᵧ in blood).
In single pollutant models, FeNO was significantly higher by 20% (95% CI: 6, 36%) and 13% (95% CI: 2, 25%) per interquartile range (IQR) fold in mono-n-butyl phthalate (MnBP) and mono-benzyl phthalate (MBzP), respectively. In BKMR analysis, the group PIPs indicated phthalates and DINCH as the most important group (group PIP = 0.509), with MnBP being the most important pollutant within that group (conditional PIP = 0.564; %change = 28%; 95%CI: 6, 54%). Similar patterns were observed in all multipollutant models. Eosinophil count mediated 37.8% (p = 0.018) and 27.9% (p = 0.045) of the association between MBzP and FeNO, and the association between MnBP and FeNO, respectively. 8-OHdG plays a significant mediating role in the association of 2,4-Dichlorophenoxyacetic acid (2,4-D) (55.4%), 3,5,6-Trichloro-2-pyridinol (TCPY) (48.1%), and 1-Naphthylamine (1-NAP) (32.7%) with rhinitis, while the total effects of these chemicals on rhinitis were not statistically significant.
This study found associations between phthalates, MnBP and MBzP, and elevated FeNO, which appeared to be mediated by eosinophil count. 8-OHdG plays a significant mediating role in the association between 2,4-D, TCPY, and 1-NAP with rhinitis, while their direct effects remain non-significant. Use of inflammatory and oxidative stress markers can enhance the understanding of inflammatory processes in asthma and allergic diseases due to environmental pollutants.
•The study explored links between environmental pollutants and asthma/allergy in adolescents.•MnBP and MBzP were positively linked to FeNO, a biomarker of airway inflammation related to asthma.•Eosinophil count mediated the relationship between phthalates and increased FeNO.•8-OHdG, an oxidative stress marker, may link certain pesticides and PAHs to allergic rhinitis.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Airway inflammation</subject><subject>Allergy</subject><subject>Asthma</subject><subject>Asthma - chemically induced</subject><subject>Asthma - epidemiology</subject><subject>Belgium - epidemiology</subject><subject>Biomarkers - blood</subject><subject>Cross-Sectional Studies</subject><subject>Environmental Exposure - adverse effects</subject><subject>Environmental Pollutants - toxicity</subject><subject>Female</subject><subject>Human biomonitoring</subject><subject>Humans</subject><subject>Hypersensitivity - epidemiology</subject><subject>Immune biomarkers</subject><subject>Male</subject><subject>Mixture</subject><subject>Oxidative stress</subject><subject>Oxidative Stress - drug effects</subject><issn>0013-9351</issn><issn>1096-0953</issn><issn>1096-0953</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kcFu1DAQhi0EokvhDRDykQNZ7DiO4wuoqiggVeICZ8txJrteHHuxnYU-BO9cpykVXDhZY3_zzz_-EXpJyZYS2r49bMGfIqRtTepmS2vSNPwR2lAi24pIzh6jDSGUVZJxeoaepXQoJeWMPEVnTPKu5bTboN8XKQVjdbbB4zDiomlj8BP4rB0-BufmrH1O-KfNe6xT3k8aaz9g7RzE3c2buyLvAU8wLDJ-h2NwsGiFX3YoNyfAKRej6Q610zT7Quv4HWLC1mM9FD6ZMjE9R09G7RK8uD_P0berD18vP1XXXz5-vry4rkwtRa6AiLHpOW2bHspCnBjBRSc6DRIM7QxlNfS9ESOTA5daiqFvupGSYewbqQWwc_R-1T3OffG9zI7aqWO0xdeNCtqqf1-83atdOClKW1HXpCsKr-8VYvgxQ8pqsmUH57SHMCfFioeuqXnNCtqsqIkhpQjjwxxK1BKlOqg1SrVEqdYoS9urvz0-NP3JrgDvVgDKT50sRJWMBW9KDhFMVkOw_59wC3HttqY</recordid><startdate>20250115</startdate><enddate>20250115</enddate><creator>Hassen, Hamid Y.</creator><creator>Govarts, Eva</creator><creator>Remy, Sylvie</creator><creator>Cox, Bianca</creator><creator>Iszatt, Nina</creator><creator>Portengen, Lützen</creator><creator>Covaci, Adrian</creator><creator>Schoeters, Greet</creator><creator>Den Hond, Elly</creator><creator>Henauw, Stefaan De</creator><creator>Bruckers, Liesbeth</creator><creator>Koppen, Gudrun</creator><creator>Verheyen, Veerle J.</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8977-156X</orcidid><orcidid>https://orcid.org/0000-0001-9824-6276</orcidid><orcidid>https://orcid.org/0000-0003-0527-1136</orcidid><orcidid>https://orcid.org/0000-0002-5262-5665</orcidid><orcidid>https://orcid.org/0000-0002-6075-4862</orcidid><orcidid>https://orcid.org/0000-0001-6485-4193</orcidid><orcidid>https://orcid.org/0000-0003-1537-1843</orcidid><orcidid>https://orcid.org/0000-0002-6978-3002</orcidid></search><sort><creationdate>20250115</creationdate><title>Association of environmental pollutants with asthma and allergy, and the mediating role of oxidative stress and immune markers in adolescents</title><author>Hassen, Hamid Y. ; Govarts, Eva ; Remy, Sylvie ; Cox, Bianca ; Iszatt, Nina ; Portengen, Lützen ; Covaci, Adrian ; Schoeters, Greet ; Den Hond, Elly ; Henauw, Stefaan De ; Bruckers, Liesbeth ; Koppen, Gudrun ; Verheyen, Veerle J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c297t-e07f4b5164be53050c757878ae9ec18c132ebbc7f39d59a97db48f10dfb49a7e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Airway inflammation</topic><topic>Allergy</topic><topic>Asthma</topic><topic>Asthma - chemically induced</topic><topic>Asthma - epidemiology</topic><topic>Belgium - epidemiology</topic><topic>Biomarkers - blood</topic><topic>Cross-Sectional Studies</topic><topic>Environmental Exposure - adverse effects</topic><topic>Environmental Pollutants - toxicity</topic><topic>Female</topic><topic>Human biomonitoring</topic><topic>Humans</topic><topic>Hypersensitivity - epidemiology</topic><topic>Immune biomarkers</topic><topic>Male</topic><topic>Mixture</topic><topic>Oxidative stress</topic><topic>Oxidative Stress - drug effects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hassen, Hamid Y.</creatorcontrib><creatorcontrib>Govarts, Eva</creatorcontrib><creatorcontrib>Remy, Sylvie</creatorcontrib><creatorcontrib>Cox, Bianca</creatorcontrib><creatorcontrib>Iszatt, Nina</creatorcontrib><creatorcontrib>Portengen, Lützen</creatorcontrib><creatorcontrib>Covaci, Adrian</creatorcontrib><creatorcontrib>Schoeters, Greet</creatorcontrib><creatorcontrib>Den Hond, Elly</creatorcontrib><creatorcontrib>Henauw, Stefaan De</creatorcontrib><creatorcontrib>Bruckers, Liesbeth</creatorcontrib><creatorcontrib>Koppen, Gudrun</creatorcontrib><creatorcontrib>Verheyen, Veerle J.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Environmental research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hassen, Hamid Y.</au><au>Govarts, Eva</au><au>Remy, Sylvie</au><au>Cox, Bianca</au><au>Iszatt, Nina</au><au>Portengen, Lützen</au><au>Covaci, Adrian</au><au>Schoeters, Greet</au><au>Den Hond, Elly</au><au>Henauw, Stefaan De</au><au>Bruckers, Liesbeth</au><au>Koppen, Gudrun</au><au>Verheyen, Veerle J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of environmental pollutants with asthma and allergy, and the mediating role of oxidative stress and immune markers in adolescents</atitle><jtitle>Environmental research</jtitle><addtitle>Environ Res</addtitle><date>2025-01-15</date><risdate>2025</risdate><volume>265</volume><spage>120445</spage><pages>120445-</pages><artnum>120445</artnum><issn>0013-9351</issn><issn>1096-0953</issn><eissn>1096-0953</eissn><abstract>Asthma and allergic diseases are among the common causes of morbidity and mortality globally. Various environmental pollutants are linked to the development of asthma and allergic diseases. Evidence on the role of oxidative stress and immune markers in the association of environmental pollutants with asthma and allergy is scant. We examined cross-sectional associations between environmental pollutants and asthma and allergy, investigated mixture effects and possible mediation by oxidative stress or immune markers.
We used data from the Flemish Environment and Health Study 2016–2020 (FLEHS IV), including 409 adolescents aged 13–16 years. Fifty-four pollutants, including metals, phthalates, Di(isononyl) cyclohexane-1,2-dicarboxylate (DINCH), bisphenols, currently used and legacy pesticides, flame retardants, per- and polyfluoroalkyl substances (PFAS), polyaromatic hydrocarbons (PAHs), and polychlorinated biphenyls (PCBs) were analyzed. Outcomes were self-reported asthma, rhinitis, eczema, allergies, respiratory infection, and airway inflammation, measured through fractional exhaled nitric oxide (FeNO). Single pollutant models using multiple regression analysis and multipollutant models using Bayesian Kernel Machine Regression (BKMR) were fitted. As sensitivity analysis, Bayesian model averaging (BMA) and elastic net (ENET) models were also performed. For Bayesian models, posterior inclusion probabilities (PIP) were used to identify the most important chemicals. Mediation analysis was performed to investigate the role of oxidative stress, measured by urinary 8-hydroxy-2' -deoxyguanosine (8-OHdG), and immune markers (eosinophils, basophils, InterLeukin 8, InterLeukin 6, and Interferon-ᵧ in blood).
In single pollutant models, FeNO was significantly higher by 20% (95% CI: 6, 36%) and 13% (95% CI: 2, 25%) per interquartile range (IQR) fold in mono-n-butyl phthalate (MnBP) and mono-benzyl phthalate (MBzP), respectively. In BKMR analysis, the group PIPs indicated phthalates and DINCH as the most important group (group PIP = 0.509), with MnBP being the most important pollutant within that group (conditional PIP = 0.564; %change = 28%; 95%CI: 6, 54%). Similar patterns were observed in all multipollutant models. Eosinophil count mediated 37.8% (p = 0.018) and 27.9% (p = 0.045) of the association between MBzP and FeNO, and the association between MnBP and FeNO, respectively. 8-OHdG plays a significant mediating role in the association of 2,4-Dichlorophenoxyacetic acid (2,4-D) (55.4%), 3,5,6-Trichloro-2-pyridinol (TCPY) (48.1%), and 1-Naphthylamine (1-NAP) (32.7%) with rhinitis, while the total effects of these chemicals on rhinitis were not statistically significant.
This study found associations between phthalates, MnBP and MBzP, and elevated FeNO, which appeared to be mediated by eosinophil count. 8-OHdG plays a significant mediating role in the association between 2,4-D, TCPY, and 1-NAP with rhinitis, while their direct effects remain non-significant. Use of inflammatory and oxidative stress markers can enhance the understanding of inflammatory processes in asthma and allergic diseases due to environmental pollutants.
•The study explored links between environmental pollutants and asthma/allergy in adolescents.•MnBP and MBzP were positively linked to FeNO, a biomarker of airway inflammation related to asthma.•Eosinophil count mediated the relationship between phthalates and increased FeNO.•8-OHdG, an oxidative stress marker, may link certain pesticides and PAHs to allergic rhinitis.</abstract><cop>Netherlands</cop><pub>Elsevier Inc</pub><pmid>39586518</pmid><doi>10.1016/j.envres.2024.120445</doi><orcidid>https://orcid.org/0000-0002-8977-156X</orcidid><orcidid>https://orcid.org/0000-0001-9824-6276</orcidid><orcidid>https://orcid.org/0000-0003-0527-1136</orcidid><orcidid>https://orcid.org/0000-0002-5262-5665</orcidid><orcidid>https://orcid.org/0000-0002-6075-4862</orcidid><orcidid>https://orcid.org/0000-0001-6485-4193</orcidid><orcidid>https://orcid.org/0000-0003-1537-1843</orcidid><orcidid>https://orcid.org/0000-0002-6978-3002</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
subjects | Adolescent Adolescents Airway inflammation Allergy Asthma Asthma - chemically induced Asthma - epidemiology Belgium - epidemiology Biomarkers - blood Cross-Sectional Studies Environmental Exposure - adverse effects Environmental Pollutants - toxicity Female Human biomonitoring Humans Hypersensitivity - epidemiology Immune biomarkers Male Mixture Oxidative stress Oxidative Stress - drug effects |
title | Association of environmental pollutants with asthma and allergy, and the mediating role of oxidative stress and immune markers in adolescents |
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