The socioeconomic landscape of the exposome during pregnancy
Background: While socioeconomic position (SEP) is consistently related to pregnancy and birth outcome disparities, relevant biological mechanisms are manifold, thus necessitating more comprehensive characterization of SEP-exposome associations during pregnancy. Objectives: We implemented an exposomi...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-05-01
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| Series: | Environment International |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412022001313 |
| _version_ | 1828784406159949824 |
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| author | Ka Kei Sum Mya Thway Tint Rosana Aguilera Borame Sue Lee Dickens Sue Choo Li Ting Ang Desiree Phua Evelyn C. Law Sharon Ng Karen Mei-Ling Tan Tarik Benmarhnia Neerja Karnani Johan G. Eriksson Yap-Seng Chong Fabian Yap Kok Hian Tan Yung Seng Lee Shiao-Yng Chan Mary F.F. Chong Jonathan Huang |
| author_facet | Ka Kei Sum Mya Thway Tint Rosana Aguilera Borame Sue Lee Dickens Sue Choo Li Ting Ang Desiree Phua Evelyn C. Law Sharon Ng Karen Mei-Ling Tan Tarik Benmarhnia Neerja Karnani Johan G. Eriksson Yap-Seng Chong Fabian Yap Kok Hian Tan Yung Seng Lee Shiao-Yng Chan Mary F.F. Chong Jonathan Huang |
| author_sort | Ka Kei Sum |
| collection | DOAJ |
| description | Background: While socioeconomic position (SEP) is consistently related to pregnancy and birth outcome disparities, relevant biological mechanisms are manifold, thus necessitating more comprehensive characterization of SEP-exposome associations during pregnancy. Objectives: We implemented an exposomic approach to systematically characterize the socioeconomic landscape of prenatal exposures in a setting where social segregation was less distinct in a hypotheses-generating manner. Methods: We described the correlation structure of 134 prenatal exogenous and endogenous sources (e.g., micronutrients, hormones, immunomodulatory metabolites, environmental pollutants) collected in a diverse, population-representative, urban, high-income longitudinal mother-offspring cohort (N = 1341; 2009–2011). We examined the associations between maternal, paternal, household, and areal level SEP indicators and 134 exposures using multiple regressions adjusted for precision variables, as well as potential effect measure modification by ethnicity and nativity. Finally, we generated summary SEP indices using Multiple Correspondence Analysis to further explore possible curved relationships. Results: Individual and household SEP were associated with anthropometric/adiposity measures, folate, omega-3 fatty acids, insulin-like growth factor-II, fasting glucose, and neopterin, an inflammatory marker. We observed paternal education was more strongly and consistently related to maternal exposures than maternal education. This was most apparent amongst couples discordant on education. Analyses revealed additional non-linear associations between areal composite SEP and particulate matter. Environmental contaminants (e.g., per- and polyfluoroalkyl substances) and micronutrients (e.g., folate and copper) showed opposing associations by ethnicity and nativity, respectively. Discussion: SEP-exposome relationships are complex, non-linear, and context specific. Our findings reinforce the potential role of paternal contributions and context-specific modifiers of associations, such as between ethnicity and maternal diet-related exposures. Despite weak presumed areal clustering of individual exposures in our context, our approach reinforces subtle non-linearities in areal-level exposures. |
| first_indexed | 2024-12-11T23:29:50Z |
| format | Article |
| id | doaj.art-fb401027e485464b8da97779eca4968e |
| institution | Directory Open Access Journal |
| issn | 0160-4120 |
| language | English |
| last_indexed | 2024-12-11T23:29:50Z |
| publishDate | 2022-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environment International |
| spelling | doaj.art-fb401027e485464b8da97779eca4968e2022-12-22T00:46:04ZengElsevierEnvironment International0160-41202022-05-01163107205The socioeconomic landscape of the exposome during pregnancyKa Kei Sum0Mya Thway Tint1Rosana Aguilera2Borame Sue Lee Dickens3Sue Choo4Li Ting Ang5Desiree Phua6Evelyn C. Law7Sharon Ng8Karen Mei-Ling Tan9Tarik Benmarhnia10Neerja Karnani11Johan G. Eriksson12Yap-Seng Chong13Fabian Yap14Kok Hian Tan15Yung Seng Lee16Shiao-Yng Chan17Mary F.F. Chong18Jonathan Huang19Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore; Corresponding author at: Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore 117609, Singapore.Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, SingaporeScripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USASaw Swee Hock School of Public Health, National University of Singapore, Singapore, SingaporeSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, SingaporeSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, SingaporeSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, SingaporeSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore; Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Khoo Teck Puat-National University Children’s Medical Institute, National University Health System, Singapore, SingaporeSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, SingaporeSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore; Department of Laboratory Medicine, National University Hospital, Singapore, SingaporeScripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USASingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Bioinformatics Institute, Agency for Science, Technology, and Research, Singapore, SingaporeSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Center, Helsinki, FinlandSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, SingaporeDuke–NUS Medical School, Singapore, Singapore; Department of Pediatrics, KK Women’s and Children’s Hospital, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, SingaporeDuke–NUS Medical School, Singapore, Singapore; Department of Maternal-Fetal Medicine, KK Women’s and Children’s Hospital, Singapore, SingaporeSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore; Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Khoo Teck Puat-National University Children’s Medical Institute, National University Health System, Singapore, SingaporeSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, SingaporeSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, SingaporeSingapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, SingaporeBackground: While socioeconomic position (SEP) is consistently related to pregnancy and birth outcome disparities, relevant biological mechanisms are manifold, thus necessitating more comprehensive characterization of SEP-exposome associations during pregnancy. Objectives: We implemented an exposomic approach to systematically characterize the socioeconomic landscape of prenatal exposures in a setting where social segregation was less distinct in a hypotheses-generating manner. Methods: We described the correlation structure of 134 prenatal exogenous and endogenous sources (e.g., micronutrients, hormones, immunomodulatory metabolites, environmental pollutants) collected in a diverse, population-representative, urban, high-income longitudinal mother-offspring cohort (N = 1341; 2009–2011). We examined the associations between maternal, paternal, household, and areal level SEP indicators and 134 exposures using multiple regressions adjusted for precision variables, as well as potential effect measure modification by ethnicity and nativity. Finally, we generated summary SEP indices using Multiple Correspondence Analysis to further explore possible curved relationships. Results: Individual and household SEP were associated with anthropometric/adiposity measures, folate, omega-3 fatty acids, insulin-like growth factor-II, fasting glucose, and neopterin, an inflammatory marker. We observed paternal education was more strongly and consistently related to maternal exposures than maternal education. This was most apparent amongst couples discordant on education. Analyses revealed additional non-linear associations between areal composite SEP and particulate matter. Environmental contaminants (e.g., per- and polyfluoroalkyl substances) and micronutrients (e.g., folate and copper) showed opposing associations by ethnicity and nativity, respectively. Discussion: SEP-exposome relationships are complex, non-linear, and context specific. Our findings reinforce the potential role of paternal contributions and context-specific modifiers of associations, such as between ethnicity and maternal diet-related exposures. Despite weak presumed areal clustering of individual exposures in our context, our approach reinforces subtle non-linearities in areal-level exposures.http://www.sciencedirect.com/science/article/pii/S0160412022001313ExposomeSocioeconomic positionInequalityBiomarkersPregnancy |
| spellingShingle | Ka Kei Sum Mya Thway Tint Rosana Aguilera Borame Sue Lee Dickens Sue Choo Li Ting Ang Desiree Phua Evelyn C. Law Sharon Ng Karen Mei-Ling Tan Tarik Benmarhnia Neerja Karnani Johan G. Eriksson Yap-Seng Chong Fabian Yap Kok Hian Tan Yung Seng Lee Shiao-Yng Chan Mary F.F. Chong Jonathan Huang The socioeconomic landscape of the exposome during pregnancy Environment International Exposome Socioeconomic position Inequality Biomarkers Pregnancy |
| title | The socioeconomic landscape of the exposome during pregnancy |
| title_full | The socioeconomic landscape of the exposome during pregnancy |
| title_fullStr | The socioeconomic landscape of the exposome during pregnancy |
| title_full_unstemmed | The socioeconomic landscape of the exposome during pregnancy |
| title_short | The socioeconomic landscape of the exposome during pregnancy |
| title_sort | socioeconomic landscape of the exposome during pregnancy |
| topic | Exposome Socioeconomic position Inequality Biomarkers Pregnancy |
| url | http://www.sciencedirect.com/science/article/pii/S0160412022001313 |
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