Socioeconomic inequalities in molecular risk for chronic diseases observed in young adulthood

Author:

Shanahan Michael J.12ORCID,Cole Steven W.3ORCID,Ravi Sudharshan1ORCID,Chumbley Justin1,Xu Wenjia1,Potente Cecilia1,Levitt Brandt4,Bodelet Julien1,Aiello Allison4ORCID,Gaydosh Lauren5ORCID,Harris Kathleen Mullan46ORCID

Affiliation:

1. Jacobs Center for Productive Youth Development, University of Zürich, Zürich, CH 8050

2. Department of Sociology, University of Zürich, Zürich, CH 8050

3. School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095

4. Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516

5. Department of Sociology, University of Texas at Austin, Austin, TX 78712

6. Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3210

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 ofa priori-defined mRNA-based disease signatures and of specific gene transcripts identifiedde 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.

Funder

HHS | National Institutes of Health

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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