Association of exposure to second-hand smoke during childhood with blood DNA methylation
Introduction: By recent estimates, 40% of children worldwide are exposed to second-hand smoke (SHS), which has been associated with adverse health outcomes. While numerous studies have linked maternal smoking during pregnancy (MSDP) to widespread differences in child blood DNA methylation (DNAm), re...
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Elsevier
2025-01-01
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| author | Marta Cosin-Tomas Thanh Hoang Cancan Qi Giulietta S. Monasso Ryan Langdon Simon Kebede Merid Lucinda Calas Paula de Prado-Bert Rebecca Richmond Vincent VW Jaddoe Liesbeth Duijts John Wright Isabella Annesi-Maesano Regina Grazuleviciene Marianna Karachaliou Gerard H. Koppelman Erik Melén Olena Gruzieva Martine Vrijheid Paul Yousefi Janine F. Felix Stephanie J. London Mariona Bustamante |
| author_facet | Marta Cosin-Tomas Thanh Hoang Cancan Qi Giulietta S. Monasso Ryan Langdon Simon Kebede Merid Lucinda Calas Paula de Prado-Bert Rebecca Richmond Vincent VW Jaddoe Liesbeth Duijts John Wright Isabella Annesi-Maesano Regina Grazuleviciene Marianna Karachaliou Gerard H. Koppelman Erik Melén Olena Gruzieva Martine Vrijheid Paul Yousefi Janine F. Felix Stephanie J. London Mariona Bustamante |
| author_sort | Marta Cosin-Tomas |
| collection | DOAJ |
| description | Introduction: By recent estimates, 40% of children worldwide are exposed to second-hand smoke (SHS), which has been associated with adverse health outcomes. While numerous studies have linked maternal smoking during pregnancy (MSDP) to widespread differences in child blood DNA methylation (DNAm), research specifically examining postnatal SHS exposure remains sparse. To address this gap, we conducted epigenome-wide meta-analyses to identify associations of postnatal SHS and child blood DNAm. Methods: Six cohorts from the Pregnancy And Childhood Epigenetics (PACE) Consortium (total N = 2,695), with SHS data and child blood DNAm (aged 7–9 years) measured with the Illumina 450K array were included in the meta-analysis. Linear regression models adjusted for covariates were fitted to examine the association between the number of household smokers in postnatal life (0, 1, 2+) and child blood DNAm. Sensitivity models without adjusting for MSDP and restricted to mothers who did not smoke during pregnancy were evaluated. Results: Our analysis revealed significant associations (False Discovery Rate < 0.05) between household postnatal SHS exposure and DNAm at 11 CpGs in exposed children. Nine CpGs were mapped to genes (MYO1G, FAM184B, CTDSPL2, LTBP3, PDE10A, and FIBCD1), while 2 CpGs were located in open sea regions. Notably, all except 2 CpGs (mapped to FIBCD1 and CTDSPL2) have previously been linked to either personal smoking habits or in utero exposure to smoking. The models restricted to non-smoking mothers provided similar results. Importantly, several of these CpGs and their associated genes are implicated in conditions exacerbated by or directly linked to SHS. Conclusions: Our findings highlight the potential biological effects of SHS on blood DNAm. These findings support further research on epigenetic factors mediating deleterious effects of SHS on child health and call for public health policies aimed at reducing exposure, particularly in environments where children are present. |
| format | Article |
| id | doaj-art-3ffb44e60c744d5f8dc28931466b38df |
| institution | Kabale University |
| issn | 0160-4120 |
| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-3ffb44e60c744d5f8dc28931466b38df2025-01-24T04:44:03ZengElsevierEnvironment International0160-41202025-01-01195109204Association of exposure to second-hand smoke during childhood with blood DNA methylationMarta Cosin-Tomas0Thanh Hoang1Cancan Qi2Giulietta S. Monasso3Ryan Langdon4Simon Kebede Merid5Lucinda Calas6Paula de Prado-Bert7Rebecca Richmond8Vincent VW Jaddoe9Liesbeth Duijts10John Wright11Isabella Annesi-Maesano12Regina Grazuleviciene13Marianna Karachaliou14Gerard H. Koppelman15Erik Melén16Olena Gruzieva17Martine Vrijheid18Paul Yousefi19Janine F. Felix20Stephanie J. London21Mariona Bustamante22ISGlobal, Barcelona, Catalonia, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain; Centro de investigación biomédica en red en epidemiología y salud pública (CIBERESP), Madrid, Spain; Corresponding authors.Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA; Department of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA; Cancer and Hematology Center, Texas Children’s Hospital, Houston, TX, USAGroningen Research Institute for Asthma and COPD, Groningen, the Netherlands; Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children’s Hospital, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; Microbiome Medicine Center, Department of Laboratory Medicine, ZhuJiang Hospital, Southern Medical University, Guangzhou, ChinaThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the NetherlandsMedical Research Council Integrative Epidemiology Unit at the University of Bristol, University of Bristol, Bristol, UK; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UKDepartment of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, SwedenUniversité Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F-75004, Paris, FranceISGlobal, Barcelona, Catalonia, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain; Centro de investigación biomédica en red en epidemiología y salud pública (CIBERESP), Madrid, SpainMedical Research Council Integrative Epidemiology Unit at the University of Bristol, University of Bristol, Bristol, UK; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UKThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the NetherlandsThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Neonatal and Pediatric Intensive Care, division of Neonatology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the NetherlandsBradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UKUniversité Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F-75004, Paris, FranceDepartment of Environmental Sciences, Vytautas Magnus University, Kaunas, LithuaniaISGlobal, Barcelona, Catalonia, Spain; Clinic of preventive and Social Medicine, Medical School, University of Crete, Iraklio, GreeceGroningen Research Institute for Asthma and COPD, Groningen, the Netherlands; Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children’s Hospital, University Medical Center Groningen, University of Groningen, Groningen, the NetherlandsDepartment of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden; Sachs’ Children’s Hospital, Stockholm, SwedenCentre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, SwedenISGlobal, Barcelona, Catalonia, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain; Centro de investigación biomédica en red en epidemiología y salud pública (CIBERESP), Madrid, SpainMedical Research Council Integrative Epidemiology Unit at the University of Bristol, University of Bristol, Bristol, UK; Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK; NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and University of Bristol, Bristol, UKThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Corresponding authors.Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USAISGlobal, Barcelona, Catalonia, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain; Centro de investigación biomédica en red en epidemiología y salud pública (CIBERESP), Madrid, SpainIntroduction: By recent estimates, 40% of children worldwide are exposed to second-hand smoke (SHS), which has been associated with adverse health outcomes. While numerous studies have linked maternal smoking during pregnancy (MSDP) to widespread differences in child blood DNA methylation (DNAm), research specifically examining postnatal SHS exposure remains sparse. To address this gap, we conducted epigenome-wide meta-analyses to identify associations of postnatal SHS and child blood DNAm. Methods: Six cohorts from the Pregnancy And Childhood Epigenetics (PACE) Consortium (total N = 2,695), with SHS data and child blood DNAm (aged 7–9 years) measured with the Illumina 450K array were included in the meta-analysis. Linear regression models adjusted for covariates were fitted to examine the association between the number of household smokers in postnatal life (0, 1, 2+) and child blood DNAm. Sensitivity models without adjusting for MSDP and restricted to mothers who did not smoke during pregnancy were evaluated. Results: Our analysis revealed significant associations (False Discovery Rate < 0.05) between household postnatal SHS exposure and DNAm at 11 CpGs in exposed children. Nine CpGs were mapped to genes (MYO1G, FAM184B, CTDSPL2, LTBP3, PDE10A, and FIBCD1), while 2 CpGs were located in open sea regions. Notably, all except 2 CpGs (mapped to FIBCD1 and CTDSPL2) have previously been linked to either personal smoking habits or in utero exposure to smoking. The models restricted to non-smoking mothers provided similar results. Importantly, several of these CpGs and their associated genes are implicated in conditions exacerbated by or directly linked to SHS. Conclusions: Our findings highlight the potential biological effects of SHS on blood DNAm. These findings support further research on epigenetic factors mediating deleterious effects of SHS on child health and call for public health policies aimed at reducing exposure, particularly in environments where children are present.http://www.sciencedirect.com/science/article/pii/S0160412024007918DNA methylationPassive smokingChildrenPostnatal exposureMaternal smoking during pregnancyblood DNA methylation |
| spellingShingle | Marta Cosin-Tomas Thanh Hoang Cancan Qi Giulietta S. Monasso Ryan Langdon Simon Kebede Merid Lucinda Calas Paula de Prado-Bert Rebecca Richmond Vincent VW Jaddoe Liesbeth Duijts John Wright Isabella Annesi-Maesano Regina Grazuleviciene Marianna Karachaliou Gerard H. Koppelman Erik Melén Olena Gruzieva Martine Vrijheid Paul Yousefi Janine F. Felix Stephanie J. London Mariona Bustamante Association of exposure to second-hand smoke during childhood with blood DNA methylation Environment International DNA methylation Passive smoking Children Postnatal exposure Maternal smoking during pregnancy blood DNA methylation |
| title | Association of exposure to second-hand smoke during childhood with blood DNA methylation |
| title_full | Association of exposure to second-hand smoke during childhood with blood DNA methylation |
| title_fullStr | Association of exposure to second-hand smoke during childhood with blood DNA methylation |
| title_full_unstemmed | Association of exposure to second-hand smoke during childhood with blood DNA methylation |
| title_short | Association of exposure to second-hand smoke during childhood with blood DNA methylation |
| title_sort | association of exposure to second hand smoke during childhood with blood dna methylation |
| topic | DNA methylation Passive smoking Children Postnatal exposure Maternal smoking during pregnancy blood DNA methylation |
| url | http://www.sciencedirect.com/science/article/pii/S0160412024007918 |
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