Evidence map›Paper›PMID 29206834›Full record

ArticlePloS one2017

Influence of socioeconomic status on the whole blood transcriptome in African Americans.

Amadou Gaye, Gary H Gibbons, Charles Barry, Rakale Quarells, Sharon K Davis

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Article
  2. Genome-wide transcriptome differences associated with perceived discrimination in an urban, community-dwelling middle-aged cohort.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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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

5 authors.

Amadou GayeNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States of America.ORCID http://orcid.org/0000-0002-1180-2792
Gary H GibbonsNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States of America.
Charles BarryBrown University, Providence, RI, United States of America.
Rakale QuarellsCommunity Health and Preventive Medicine, Cardiovascular Research Institute Morehouse School of Medicine, Atlanta, GA, United States of America.
Sharon K DavisNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States of America.

Funding

Minority Health-GRID Network: A Genomics Resource for Health Disparity ResearchRC4MD005964 · NIMHD · MOREHOUSE SCHOOL OF MEDICINE · PI DAVIS, ROBERT LOWELL, NICKERSON, DEBORAH A · 2010 to 2010
$13.3M
NIMHD NIH HHS RC4 MD005964
6 · The paper itself

Abstract

backgroundThe correlation between low socioeconomic status (SES) and poor health outcome or higher risk of disease has been consistently reported by many epidemiological studies across various race/ancestry groups. However, the biological mechanisms linking low SES to disease and/or disease risk factors are not well understood and remain relatively under-studied. The analysis of the blood transcriptome is a promising window for elucidating how social and environmental factors influence the molecular networks governing health and disease. To further define the mechanistic pathways between social determinants and health, this study examined the impact of SES on the blood transcriptome in a sample of African-Americans.

methodsAn integrative approach leveraging three complementary methods (Weighted Gene Co-expression Network Analysis, Random Forest and Differential Expression) was adopted to identify the most predictive and robust transcriptome pathways associated with SES. We analyzed the expression of 15079 genes (RNA-seq) from whole blood across 36 samples.

resultsThe results revealed a cluster of 141 co-expressed genes over-expressed in the low SES group. Three pro-inflammatory pathways (IL-8 Signaling, NF-κB Signaling and Dendritic Cell Maturation) are activated in this module and over-expressed in low SES. Random Forest analysis revealed 55 of the 141 genes that, collectively, predict SES with an area under the curve of 0.85. One third of the 141 genes are significantly over-expressed in the low SES group.

conclusionLower SES has consistently been linked to many social and environmental conditions acting as stressors and known to be correlated with vulnerability to chronic illnesses (e.g. asthma, diabetes) associated with a chronic inflammatory state. Our unbiased analysis of the blood transcriptome in African-Americans revealed evidence of a robust molecular signature of increased inflammation associated with low SES. The results provide a plausible link between the social factors and chronic inflammation.

Indexed as

Social ClassTranscriptomeBlack or African AmericanGene ExpressionHumansMultigene Family

Identifiers

PMID29206834
PMCPMC5716587

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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.