Evidence map›Paper›PMID 40076974›Full record

ReviewInternational journal of molecular sciences2025

Blood-Based DNA Methylation Biomarkers to Identify Risk and Progression of Cardiovascular Disease.

Tarryn Willmer, Lawrence Mabasa, Jyoti Sharma, Christo J F Muller, Rabia Johnson

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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.

Tarryn WillmerBiomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa.ORCID 0000-0002-6191-7440
Lawrence MabasaBiomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa.ORCID 0000-0001-6499-3396
Jyoti SharmaBiomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa.ORCID 0000-0003-0170-7342
Christo J F MullerBiomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa.ORCID 0000-0001-6821-2120
Rabia JohnsonBiomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg 7505, South Africa.ORCID 0000-0002-6328-0789

Funding

National Research Foundation 23030881391
6 · The paper itself

Abstract

Non-communicable diseases (NCDs) are the leading cause of death worldwide, with cardiovascular disease (CVD) accounting for half of all NCD-related deaths. The biological onset of CVD may occur long before the development of clinical symptoms, hence the urgent need to understand the molecular alterations underpinning CVD, which would facilitate intervention strategies to prevent or delay the onset of the disease. There is evidence to suggest that CVD develops through a complex interplay between genetic, lifestyle, and environmental factors. Epigenetic modifications, including DNA methylation, serve as proxies linking genetics and the environment to phenotypes and diseases. In the past decade, a growing list of studies has implicated DNA methylation in the early events of CVD pathogenesis. In this regard, screening for these epigenetic marks in asymptomatic individuals may assist in the early detection of CVD and serve to predict the response to therapeutic interventions. This review discusses the current literature on the relationship between blood-based DNA methylation alterations and CVD in humans. We highlight a set of differentially methylated genes that show promise as candidates for diagnostic and prognostic CVD biomarkers, which should be prioritized and replicated in future studies across additional populations. Finally, we discuss key limitations in DNA methylation studies, including genetic diversity, interpatient variability, cellular heterogeneity, study confounders, different methodological approaches used to isolate and measure DNA methylation, sample sizes, and cross-sectional study design.

Indexed as

BiomarkersCardiovascular DiseasesDNA MethylationDisease ProgressionEpigenesis, GeneticHumansRisk FactorsBiomarkerscandidate genecardiovascular diseaseDNA methylationgenome-wideglobalnon-communicable diseases

Identifiers

PMID40076974
PMCPMC11900213

What OpenQuestion holds

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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.