Evidence map›Paper›PMID 25276493›Full record

ReviewAging and disease2014

Epigenetics and social context: implications for disparity in cardiovascular disease.

Karen L Saban, Herbert L Mathews, Holli A DeVon, Linda W Janusek

Open access · goldAbstract readReview
In one paragraph

Review in Aging and disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
12.6field-weighted citation impact, top 1% of its field
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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Feasibility and preliminary efficacy of acupuncture for angina in an underserved diverse population.Acupuncture in medicine : journal of the British Medical Acupuncture Society · 2022
    Trial
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  14. Molecular Subtypes of Head and Neck Cancer in Patients of African Ancestry.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  15. Article
  16. Evaluating and Modeling Neighborhood Diversity and Health Using Electronic Health Records.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Review
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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

4 authors at 1 institution in 1 country.

Karen L SabanMarcella Niehoff School of Nursing, Loyola University Chicago, Maywood, IL, USA ; Center of Innovation for Complex Chronic Healthcare, Edward Hines Jr. VA Hospital, Hines, IL, USA.
Herbert L MathewsStritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Holli A DeVonCollege of Nursing, University of Illinois at Chicago, Chicago, IL, USA.
Linda W JanusekMarcella Niehoff School of Nursing, Loyola University Chicago, Maywood, IL, USA.
Edward Hines, Jr. VA Hospital · US

Funding

Immune dysregulation by psychosocial distressR01CA134736 · NCI · LOYOLA UNIVERSITY CHICAGO · PI JANUSEK, LINDA, MATHEWS, HERBERT L. · 2010 to 2014
$2.7M
Social Context and Inflammatory Risk for Stroke in African American WomenK01NR013478 · NINR · LOYOLA UNIVERSITY CHICAGO · PI SABAN, KAREN LYNN · 2012 to 2014
$272k
NCI NIH HHS R01 CA134736NINR NIH HHS K01 NR013478
6 · The paper itself

Abstract

backgroundAlthough it is well established that African Americans (AA) experience greater social stressors than non-Hispanic Whites (NHW), the extent to which early life adversity and cumulative social stressors such as perceived discrimination, neighborhood violence, subjective social status, and socioeconomic status contribute to disparity in coronary heart disease (CHD) and stroke between AA and NHW are not well understood. PURPOSE: The purpose of this paper is to propose a conceptual model based upon McEwen's Allostatic Load Model suggesting how the relationships among social context, early life adversity, psychological stress, inflammation, adaptation, and epigenetic signature may contribute to the development of CHD and ischemic stroke. We hypothesize that social context and prior life adversity are associated with genome-wide as well as gene-specific epigenetic modifications that confer a proinflammatory epigenetic signature that mediates an enhanced proinflammatory state. Exposure to early life adversity, coupled with an increased allostatic load places individuals at greater risk for inflammatory based diseases, such as CHD and ischemic stroke.

resultsBased on a review of the literature, we propose a novel model in which social context and psychological stress, particularly during early life, engenders a proinflammatory epigenetic signature, which drives a heightened inflammatory state that increases risk for CHD and stroke. In the proposed model, a proinflammatory epigenetic signature and adaptation serve as mediator variables.

conclusionsUnderstanding the extent to which epigenetic signature bridges the psycho-social environment with inflammation and risk for CHD may yield novel biomarkers that can be used to assess risk, development, and progression of CHD/stroke. Epigenetic biomarkers may be used to inform preventive and treatment strategies that can be targeted to those most vulnerable, or to those with early signs of CHD, such as endothelial dysfunction. Furthermore, epigenetic approaches, including lifestyle modification and stress reduction programs, such as mindfulness-based stress reduction, offer promise to reduce health inequity linked to social disadvantage, as emerging evidence demonstrates that adverse epigenetic marks can be reversed.

Indexed as

Cardiovascular DiseaseCytokinesEpigeneticsEpigenomicsHealth Status DisparitiesStroke

Identifiers

PMID25276493
PMCPMC4173800
OpenAlexW2110372907

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.