Evidence map›Paper›PMID 36461124›Full record

ArticleClinical epigenetics2022

The association of accelerated epigenetic age with all-cause mortality in cardiac catheterization patients as mediated by vascular and cardiometabolic outcomes.

Rong Jiang, Elizabeth R Hauser, Lydia Coulter Kwee, Svati H Shah, Jessica A Regan, Janet L Huebner, Virginia B Kraus, William E Kraus, Cavin K Ward-Caviness

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Accelerated epigenetic age in hypertension: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Pooled it
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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

9 authors at 2 institutions in 1 country.

Rong JiangDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA. rong.jiang@duke.edu.
Elizabeth R HauserDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
Lydia Coulter KweeDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
Svati H ShahDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
Jessica A ReganDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
Janet L HuebnerDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
Virginia B KrausDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
William E KrausDuke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
Cavin K Ward-CavinessCenter for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA.
Duke University · USEnvironmental Protection Agency · US

Funding

The Genetics Of Biobehavioral Risk Factors For CVDP01HL036587 · NHLBI · DUKE UNIVERSITY · PI KRAUS, WILLIAM E · 1986 to 2020
$35.9M
Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Sarah B. Peskoe · 2006 to 2026
$24.6M
Stimulating Access to Research in Residency (StARR) - NHLBIR38HL143612 · NHLBI · DUKE UNIVERSITY · PI Mai ElMallah, David H. Harpole · 2018 to 2026
$2.6M
NHLBI NIH HHS P01 HL036587NHLBI NIH HHS R38 HL143612NIA NIH HHS P30 AG028716
6 · The paper itself

Abstract

backgroundEpigenetic age is a DNA methylation-based biomarker of aging that is accurate across the lifespan and a range of cell types. The difference between epigenetic age and chronological age, termed age acceleration (AA), is a strong predictor of lifespan and healthspan. The predictive capabilities of AA for all-cause mortality have been evaluated in the general population; however, its utility is less well evaluated in those with chronic conditions. Additionally, the pathophysiologic pathways whereby AA predicts mortality are unclear. We hypothesized that AA predicts mortality in individuals with underlying cardiovascular disease; and the association between AA and mortality is mediated, in part, by vascular and cardiometabolic measures.

methodsWe evaluated 562 participants in an urban, three-county area of central North Carolina from the CATHGEN cohort, all of whom received a cardiac catheterization procedure. We analyzed three AA biomarkers, Horvath epigenetic age acceleration (HAA), phenotypic age acceleration (PhenoAA), and Grim age acceleration (GrimAA), by Cox regression models, to assess whether AAs were associated with all-cause mortality. We also evaluated if these associations were mediated by vascular and cardiometabolic outcomes, including left ventricular ejection fraction (LVEF), blood cholesterol concentrations, angiopoietin-2 (ANG2) protein concentration, peripheral artery disease, coronary artery disease, diabetes, and hypertension. The total effect, direct effect, indirect effect, and percentage mediated were estimated using pathway mediation tests with a regression adjustment approach.

resultsPhenoAA (HR = 1.05, P < 0.0001), GrimAA (HR = 1.10, P < 0.0001) and HAA (HR = 1.03, P = 0.01) were all associated with all-cause mortality. The association of mortality and PhenoAA was partially mediated by ANG2, a marker of vascular function (19.8%, P = 0.016), and by diabetes (8.2%, P = 0.043). The GrimAA-mortality association was mediated by ANG2 (12.3%, P = 0.014), and showed weaker evidence for mediation by LVEF (5.3%, P = 0.065).

conclusionsEpigenetic age acceleration remains strongly predictive of mortality even in individuals already burdened with cardiovascular disease. Mortality associations were mediated by ANG2, which regulates endothelial permeability and angiogenic functions, suggesting that specific vascular pathophysiology may link accelerated epigenetic aging with increased mortality risks.

Indexed as

Cardiovascular DiseasesCardiac CatheterizationDNA MethylationEpigenesis, GeneticHumansStroke VolumeVentricular Function, LeftAccelerated epigenetic ageAgingAll-cause mortalityCardiovascular diseaseDNA methylation ageEffect mediationVascular

Identifiers

PMID36461124
PMCPMC9719253
OpenAlexW4310786965

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.