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Socioeconomic Inequalities and Molecular Risk for Aging in Young Adulthood
Diverse manifestations of biological aging often reflect disparities in socioeconomic status (SES). In this paper, we examine associations between indicators of SES and an mRNA-based aging signature during young adulthood, before clinical indications of aging are common. We use data from wave V (201...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691199/ https://www.ncbi.nlm.nih.gov/pubmed/37431780 http://dx.doi.org/10.1093/aje/kwad155 |
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author | Potente, Cecilia Chumbley, Justin Xu, Wenjia Levitt, Brandt Cole, Steven W Ravi, Sudharshan Bodelet, Julien Stephane Gaydosh, Lauren Harris, Kathleen Mullan Shanahan, Michael J |
author_facet | Potente, Cecilia Chumbley, Justin Xu, Wenjia Levitt, Brandt Cole, Steven W Ravi, Sudharshan Bodelet, Julien Stephane Gaydosh, Lauren Harris, Kathleen Mullan Shanahan, Michael J |
author_sort | Potente, Cecilia |
collection | PubMed |
description | Diverse manifestations of biological aging often reflect disparities in socioeconomic status (SES). In this paper, we examine associations between indicators of SES and an mRNA-based aging signature during young adulthood, before clinical indications of aging are common. We use data from wave V (2016–2018) of the National Longitudinal Study of Adolescent to Adult Health, a nationally representative study of adults aged 33–43 years, with transcriptomic data from a subset of 2,491 participants. Biological aging is measured using 1) a composite transcriptomic aging signature previously identified by Peters et al.’s out-of-sample meta-analysis (Nat Commun. 2015;6:8570) and 2) 9 subsets that represent functional pathways of coexpressed genes. SES refers to income, education, occupation, subjective social status, and a composite measure combining these 4 dimensions. We examine hypothesized mechanisms through which SES could affect aging: body mass index, smoking, health insurance status, difficulty paying bills, and psychosocial stress. We find that SES—especially the composite measure and income—is associated with transcriptomic aging and immune, mitochondrial, ribosomal, lysosomal, and proteomal pathways. Counterfactual mediational models suggest that the mediators partially account for these associations. The results thus reveal that numerous biological pathways associated with aging are already linked to SES in young adulthood. |
format | Online Article Text |
id | pubmed-10691199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106911992023-12-02 Socioeconomic Inequalities and Molecular Risk for Aging in Young Adulthood Potente, Cecilia Chumbley, Justin Xu, Wenjia Levitt, Brandt Cole, Steven W Ravi, Sudharshan Bodelet, Julien Stephane Gaydosh, Lauren Harris, Kathleen Mullan Shanahan, Michael J Am J Epidemiol Original Contribution Diverse manifestations of biological aging often reflect disparities in socioeconomic status (SES). In this paper, we examine associations between indicators of SES and an mRNA-based aging signature during young adulthood, before clinical indications of aging are common. We use data from wave V (2016–2018) of the National Longitudinal Study of Adolescent to Adult Health, a nationally representative study of adults aged 33–43 years, with transcriptomic data from a subset of 2,491 participants. Biological aging is measured using 1) a composite transcriptomic aging signature previously identified by Peters et al.’s out-of-sample meta-analysis (Nat Commun. 2015;6:8570) and 2) 9 subsets that represent functional pathways of coexpressed genes. SES refers to income, education, occupation, subjective social status, and a composite measure combining these 4 dimensions. We examine hypothesized mechanisms through which SES could affect aging: body mass index, smoking, health insurance status, difficulty paying bills, and psychosocial stress. We find that SES—especially the composite measure and income—is associated with transcriptomic aging and immune, mitochondrial, ribosomal, lysosomal, and proteomal pathways. Counterfactual mediational models suggest that the mediators partially account for these associations. The results thus reveal that numerous biological pathways associated with aging are already linked to SES in young adulthood. Oxford University Press 2023-07-11 /pmc/articles/PMC10691199/ /pubmed/37431780 http://dx.doi.org/10.1093/aje/kwad155 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Contribution Potente, Cecilia Chumbley, Justin Xu, Wenjia Levitt, Brandt Cole, Steven W Ravi, Sudharshan Bodelet, Julien Stephane Gaydosh, Lauren Harris, Kathleen Mullan Shanahan, Michael J Socioeconomic Inequalities and Molecular Risk for Aging in Young Adulthood |
title | Socioeconomic Inequalities and Molecular Risk for Aging in Young Adulthood |
title_full | Socioeconomic Inequalities and Molecular Risk for Aging in Young Adulthood |
title_fullStr | Socioeconomic Inequalities and Molecular Risk for Aging in Young Adulthood |
title_full_unstemmed | Socioeconomic Inequalities and Molecular Risk for Aging in Young Adulthood |
title_short | Socioeconomic Inequalities and Molecular Risk for Aging in Young Adulthood |
title_sort | socioeconomic inequalities and molecular risk for aging in young adulthood |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691199/ https://www.ncbi.nlm.nih.gov/pubmed/37431780 http://dx.doi.org/10.1093/aje/kwad155 |
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