Evidence map›Paper›PMID 41478882›Full record

ReviewNature reviews. Cardiology2026

Cardiac epigenome in heart development and disease.

Patrick Laurette, Ralf Gilsbach

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

2 authors.

Patrick LauretteInstitute of Experimental Cardiology, Heidelberg University, Medical Faculty Heidelberg, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-8941-612X
Ralf GilsbachInstitute of Experimental Cardiology, Heidelberg University, Medical Faculty Heidelberg, Heidelberg, Germany. ralf.gilsbach@cardioscience.uni-heidelberg.de.ORCID http://orcid.org/0000-0002-0895-1535

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic and acquired forms of heart disease are leading causes of death worldwide. The epigenome, which governs cellular identity by modulating the accessibility of genetic regulatory elements, is established during development by transcription factors and has a pivotal role in the execution of cellular programmes. The epigenetic layers include DNA methylation, histone modifications and chromatin accessibility, which are dynamically regulated during development and in response to stress. Advances in single-cell and cell type-resolved epigenome analyses have provided unprecedented insights into the heterocellular nature of organs such as the heart, via the identification of epigenetic mechanisms and disease-associated epigenetic alterations in cardiomyocytes and other cardiac cell types. Chromatin remodelling, driven by specific modifiers, transcription factors and chaperones, orchestrates cardiac gene expression and contributes to disease manifestation and progression. Understanding how to modulate these epigenetic pathways in a cell type-specific manner offers promising avenues for therapeutic intervention, including epigenome editing for targeted modulation of regulatory elements. In this Review, we highlight studies decoding the various layers of the cardiac epigenome, emphasizing the interplay between cell type-specific mechanisms, describe emerging methods to study the cardiac epigenome, and discuss the translational potential of targeting epigenetic mechanisms for the prevention and treatment of cardiac diseases.

Indexed as

Epigenesis, GeneticEpigenomeHeartHeart DiseasesAnimalsChromatin Assembly and DisassemblyDNA MethylationHumansMyocytes, Cardiac

Identifiers

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.