Evidence map›Paper›PMID 40792468›Full record

ReviewEpigenomics2025

Novel approaches and applications in identifying DNA methylation markers of cardio-kidney-metabolic disease.

Chang Liu, Alexandra Young, Nanzha Abi, Junyu Chen, Matheus Fernandes Gyorfy, Yanping Li, Sophia Sun, Jin J Zhou, Yan V Sun

Abstract readReview
In one paragraph

Review in Epigenomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Chang LiuDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.ORCID 0000-0002-8918-7224
Alexandra YoungDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Nanzha AbiDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.ORCID 0000-0003-2048-1182
Junyu ChenDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.ORCID 0000-0001-9659-0225
Matheus Fernandes GyorfyDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Yanping LiMillion Veteran Program Boston Coordinating Center, VA Boston Healthcare System, Boston, MA, USA.ORCID 0000-0002-0412-2748
Sophia SunEmory College of Arts and Sciences, Atlanta, GA, USA.
Jin J ZhouDepartment of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA, USA.ORCID 0000-0001-7983-0274
Yan V SunDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.ORCID 0000-0002-2838-1824

Funding

Spousal Influences on Subclinical and Clinical Vascular and Myocardial DiseaseP01HL154996 · NHLBI · EMORY UNIVERSITY · PI Kabayam M Venkat Narayan, ARSHED A QUYYUMI · 2022 to 2026
$13.4M
Multi-omic Predictors of Renal Function among HIV-infected Individuals of African AncestryR01DK125187 · NIDDK · EMORY UNIVERSITY · PI MARCONI, VINCENT CHARLES, SUN, YAN · 2020 to 2024
$4.1M
BLRD VA I01 BX005831BLRD VA I01 BX006990NHLBI NIH HHS P01 HL154996NIDDK NIH HHS R01 DK125187
6 · The paper itself

Abstract

Cardio-kidney-metabolic (CKM) diseases represent a major public health challenge, accounting for a large proportion of global burden of morbidity and mortality. These conditions share risk factors, including genetic predisposition, environmental exposures, and lifestyle influences, which collectively drive disease development and progression. Epigenetic modifications, particularly DNA methylation (DNAm), serve as key mediators and biomarkers between these risk factors and disease phenotypes by regulating gene expression without altering the DNA sequence. Epigenome-wide association studies have identified DNAm markers associated with CKM diseases and related phenotypes, highlighting both shared pathways and disease-specific epigenetic signatures in inflammation, metabolic dysfunction, and aging-related processes. Longitudinal studies further demonstrate the dynamic nature of DNAm changes over time, offering insights into disease trajectories. Additionally, methylation risk scores integrating multiple epigenetic markers show promise in improving disease prediction and risk stratification beyond traditional clinical factors. To synthesize the current evidence, we conducted a targeted literature search in PubMed for English-language, peer-reviewed articles published between 2014 and the present. Future research leveraging large, well-phenotyped cohorts, advanced statistical methods, and innovative study designs will be critical for uncovering novel biomarkers, refining risk prediction models, and developing targeted epigenetic therapies to mitigate the global burden.

Indexed as

Cardio-Renal SyndromeCardiovascular DiseasesDNA MethylationEpigenesis, GeneticKidney DiseasesMetabolic DiseasesBiomarkersEpigenomicsGenetic MarkersHumansBiomarkersGenetic MarkersCardiovascular diseasecoronary heart diseaseDNA methylationEWASheart failureincidencelongitudinalmethylation risk score

Identifiers

PMID40792468
PMCPMC12399777

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.