Abstract
Many common chronic diseases of aging are negatively associated with socioeconomic status (SES). This study examines whether inequalities can already be observed in the molecular underpinnings of such diseases in the 30s, before many of them become prevalent. Data come from the National Longitudinal Study of Adolescent to Adult Health (Add Health), a large, nationally representative sample of US subjects who were followed for over two decades beginning in adolescence. We now have transcriptomic data (mRNA-seq) from a random subset of 4,543 of these young adults. SES in the household-of-origin and in young adulthood were examined as covariates of a priori-defined mRNA-based disease signatures and of specific gene transcripts identified de novo. An SES composite from young adulthood predicted many disease signatures, as did income and subjective status. Analyses highlighted SES-based inequalities in immune, inflammatory, ribosomal, and metabolic pathways, several of which play central roles in senescence. Many genes are also involved in transcription, translation, and diverse signaling mechanisms. Average causal-mediated effect models suggest that body mass index plays a key role in accounting for these relationships. Overall, the results reveal inequalities in molecular risk factors for chronic diseases often decades before diagnoses and suggest future directions for social signal transduction models that trace how social circumstances regulate the human genome.
Original language | English |
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Article number | e2103088119 |
Number of pages | 7 |
Journal | Proceedings of the National Academy of Sciences of the United States of America |
Volume | 119 |
Issue number | 43 |
DOIs | |
Publication status | Published - 17 Oct 2022 |
Externally published | Yes |
Bibliographical note
Funding information:This research was supported by NIH (R01-HD087061
to MPIs M.J.S. and K.M.H. [specifically for the present analyses], P30-AG017265,
R01-AG043404, and R01-AG033590), by the Swiss National Science Foundation (10531C-197964 to M.J.S.), and by the Jacobs Center for Productive Youth Development (University of Zurich). This research uses data from Add Health, a
program directed by Robert Hummer and designed by J. Richard Udry, Peter S. Bearman, and K.M.H. (University of North Carolina at Chapel Hill). The Add Health program is funded by the Eunice Kennedy Shriver National Institute of
Child Health and Human Development (P01-HD31921), with cooperative funding from 23 other federal agencies and foundations (https://addhealth.cpc.unc.edu/about/funders).
Copyright © 2022 the Author(s).