Evidence map›Paper›PMID 37853450›Full record

ArticleClinical epigenetics2023

Accelerated DNA methylation age plays a role in the impact of cardiovascular risk factors on the human heart.

Constantin-Cristian Topriceanu, Eesha Dev, Mahmood Ahmad, Rebecca Hughes, Hunain Shiwani, Matthew Webber, Kenan Direk, Andrew Wong, Martin Ugander, James C Moon and 4 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% 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, 14 citations in OpenAlex.

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  11. Epigenetics in diabetic cardiomyopathy.Clinical epigenetics · 2024
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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

14 authors at 4 institutions in 3 countries.

Constantin-Cristian TopriceanuUCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK.
Eesha DevUCL Medical School, Gower Street, London, UK.
Mahmood AhmadCentre for Inherited Heart Muscle Conditions, The Royal Free Hospital, Pond Street, Hampstead, London, UK.
Rebecca HughesUCL Institute of Cardiovascular Science, University College London, 62 Huntley St, London, WC1E 6BT, UK.
Hunain ShiwaniUCL Institute of Cardiovascular Science, University College London, 62 Huntley St, London, WC1E 6BT, UK.
Matthew WebberUCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK.
Kenan DirekUCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK.
Andrew WongUCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK.
Martin UganderKolling Institute Royal North Shore Hospital, and Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
James C MoonUCL Institute of Cardiovascular Science, University College London, 62 Huntley St, London, WC1E 6BT, UK.
Alun D HughesUCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK.
Jane MaddockUCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK.
Todd T SchlegelDepartment of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden.
Gabriella CapturUCL MRC Unit for Lifelong Health and Ageing, University College London, 1-19 Torrington Place, London, UK. gabriella.captur@ucl.ac.uk.
MRC Unit for Lifelong Health and Ageing · GBUniversity College London · GBKarolinska University Hospital · SEThe University of Sydney · AU

Funding

British Heart Foundation SP/20/2/34841Department of HealthMedical Research Council MC_UU_00019/1Medical Research Council MC_UU_00019/2Medical Research Council MC_UU_12019/1Medical Research Council MC_UU_12019/4Medical Research Council MC_UU_12019/5
6 · The paper itself

Abstract

backgroundDNA methylation (DNAm) age acceleration (AgeAccel) and cardiac age by 12-lead advanced electrocardiography (A-ECG) are promising biomarkers of biological and cardiac aging, respectively. We aimed to explore the relationships between DNAm age and A-ECG heart age and to understand the extent to which DNAm AgeAccel relates to cardiovascular (CV) risk factors in a British birth cohort from 1946.

resultsWe studied four DNAm ages (AgeHannum, AgeHorvath, PhenoAge, and GrimAge) and their corresponding AgeAccel. Outcomes were the results from two publicly available ECG-based cardiac age scores: the Bayesian A-ECG-based heart age score of Lindow et al. 2022 and the deep neural network (DNN) ECG-based heart age score of Ribeiro et al. 2020. DNAm AgeAccel was also studied relative to results from two logistic regression-based A-ECG disease scores, one for left ventricular (LV) systolic dysfunction (LVSD), and one for LV electrical remodeling (LVER). Generalized linear models were used to explore the extent to which any associations between biological cardiometabolic risk factors (body mass index, hypertension, diabetes, high cholesterol, previous cardiovascular disease [CVD], and any CV risk factor) and the ECG-based outcomes are mediated by DNAm AgeAccel. We derived the total effects, average causal mediation effects (ACMEs), average direct effects (ADEs), and the proportion mediated [PM] with their 95% confidence intervals [CIs]. 498 participants (all 60-64 years) were included, with the youngest ECG heart age being 27 and the oldest 90. When exploring the associations between cardiometabolic risk factors and Bayesian A-ECG cardiac age, AgeAccelPheno appears to be a partial mediator, as ACME was 0.23 years [0.01, 0.52] p = 0.028 (i.e., PM≈18%) for diabetes, 0.34 [0.03, 0.74] p = 0.024 (i.e., PM≈15%) for high cholesterol, and 0.34 [0.03, 0.74] p = 0.024 (PM≈15%) for any CV risk factor. Similarly, AgeAccelGrim mediates ≈30% of the relationship between diabetes or high cholesterol and the DNN ECG-based heart age. When exploring the link between cardiometabolic risk factors and the A-ECG-based LVSD and LVER scores, it appears that AgeAccelPheno or AgeAccelGrim mediate 10-40% of these associations.

conclusionBy the age of 60, participants with accelerated DNA methylation appear to have older, weaker, and more electrically impaired hearts. We show that the harmful effects of CV risk factors on cardiac age and health, appear to be partially mediated by DNAm AgeAccelPheno and AgeAccelGrim. This highlights the need to further investigate the potential cardioprotective effects of selective DNA methyltransferases modulators.

Indexed as

Cardiovascular DiseasesDiabetes MellitusAgingBayes TheoremCholesterolDNA MethylationEpigenesis, GeneticHeart Disease Risk FactorsHumansInfantRisk FactorsCholesterolAdvanced electrocardiographyAgingDNA methylation age

Identifiers

PMID37853450
PMCPMC10583368
OpenAlexW4387742808

What OpenQuestion holds

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LicenceCC BY
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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.