Evidence map›Paper›PMID 40515537›Full record

ReviewEpigenomics2025

Personalized medicine for cardiovascular diseases: how next generation epigenetic technologies can contribute?

Meeshanthini Dogan, Robert Philibert

Erratum issuedAbstract 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. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Meeshanthini DoganCardio Diagnostics Inc, Chicago, IL, USA.
Robert PhilibertCardio Diagnostics Inc, Chicago, IL, USA.ORCID 0000-0001-7822-4977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in DNA methylation and artificial intelligence have led to new methods for assessing risk and diagnosing coronary heart disease (CHD), the leading cause of death. However, whether these technologies can also be harnessed to generate new pharmacotherapeutic agents or monitor the effectiveness of new or existing CHD therapies is unknown. In this perspective, we review the development of cardiac assessment technologies and the challenges that these older approaches attempted to address. We next describe Precision Epigenetic methods and describe their strengths and limitations, as well as the conceptual framework through which these tools operate. Finally, we discuss their potential application to the development and evaluation of new therapies for CHD and how Precision Epigenetic tools compare to existing testing modalities for CHD. We conclude that the future is bright for the use of Precision Epigenetic methods in cardiovascular medicine and suggest that their routine use could lead to faster, less expensive and more effective healthcare.

Indexed as

Cardiovascular DiseasesEpigenesis, GeneticEpigenomicsPrecision MedicineArtificial IntelligenceDNA MethylationHumansDNA methylationepigenetics and diseaseepigenetic technologiesepigenetic therapiesepipharmacogenomics

Identifiers

PMID40515537
PMCPMC12233864

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.