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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Veröffentlicht in:Environmental research 2025-01, Vol.265, p.120445, Article 120445
Hauptverfasser: 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.
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container_issue
container_start_page 120445
container_title Environmental research
container_volume 265
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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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><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. 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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. ; 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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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