Evidence map›Paper›PMID 39887814›Full record

ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2025

Genome-wide transcriptome differences associated with perceived discrimination in an urban, community-dwelling middle-aged cohort.

Natasha L Pacheco, Nicole Noren Hooten, Sharon F Wu, Maame Mensah-Bonsu, Yongqing Zhang, Kumaraswamy Naidu Chitrala, Supriyo De, Nicolle A Mode, Ngozi Ezike, Danielle L Beatty Moody and 2 more

Abstract read
In one paragraph

Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Natasha L PachecoLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-9617-8887
Nicole Noren HootenLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-1683-3838
Sharon F WuLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0009-0000-2118-0504
Maame Mensah-BonsuLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0009-0003-2336-6072
Yongqing ZhangLaboratory of Genetics and Genomics, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-8096-582X
Kumaraswamy Naidu ChitralaDepartment of Engineering Technology, College of Technology, University of Houston, Sugar Land, Texas, USA.ORCID https://orcid.org/0000-0003-0663-9529
Supriyo DeLaboratory of Genetics and Genomics, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-2075-7655
Nicolle A ModeLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-8193-0554
Ngozi EzikeLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0009-0000-7382-9352
Danielle L Beatty MoodySchool of Social Work, Rutgers University, State University of New Jersey, New Brunswick, New Jersey, USA.ORCID https://orcid.org/0000-0002-5499-566X
Alan B ZondermanLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-6523-4778
Michele K EvansLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-8546-2831

Funding

Healthy Aging Neighborhoods of Diversity Across LifespanZ01AG000513 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2001 to 2008
$6.8M
Measuring DNA Damage/Repair Capacity in Human PopulationZ01AG000519 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2005 to 2008
$942k
HHS | NIH | National Institute on Aging (NIA) AG000519HHS | NIH | National Institute on Minority Health and Health Disparities (NIMHD)Intramural NIH HHS Z01 AG000513Intramural NIH HHS Z01 AG000519
6 · The paper itself

Abstract

Discrimination is a social adversity that is linked to several age-related outcomes. However, the molecular drivers of these observations are poorly understood. Social adverse factors are associated with proinflammatory and interferon gene expression, but little is known about whether additional genes are associated with discrimination among both African American and White adults. In this study, we examined how perceived discrimination in African American and White adults was associated with genome-wide transcriptome differences using RNA sequencing. Perceived discrimination was measured based on responses to self-reported lifetime discrimination and racial discrimination. Differential gene expression and pathway analysis were conducted in a cohort (N = 59) stratified by race, sex, and overall discrimination level. We found 28 significantly differentially expressed genes associated with race among those reporting high discrimination. Several of the upregulated genes for African American versus White adults reporting discrimination were related to immune function IGLV2-11, S100B, IGKV3-20, and IGKV4-1; the most significantly downregulated genes were associated with immune modulation and cancer, LUCAT1, THBS1, and ARPIN. The most enriched gene ontology biological process between African American and White men reporting high discrimination was the regulation of cytokine biosynthetic processes. The immune response biological process was significantly lower for African American women compared to White women reporting high discrimination. Discrimination was associated with the expression of small nucleolar RNAs, long noncoding RNAs, and microRNAs associated with energy homeostasis, cancer, and actin. Understanding the pathways through which adverse social factors like discrimination are associated with gene expression is crucial in advancing knowledge of age-related health disparities.

Indexed as

Perceived DiscriminationRacismTranscriptomeAdultBlack or African AmericanCohort StudiesFemaleHumansMaleMiddle AgedUrban PopulationWhitediscriminationgene expressionpsychosocial stressraceRNA sequencing

Identifiers

PMID39887814
PMCPMC11874777

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.