Evidence map›Paper›PMID 40974383›Full record

ReviewCurrent cardiology reports2025

Decoding Cardiac Maturation Program: Insights from RNA Splicing Regulation.

Woan Ting Tay, Yibin Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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.

Woan Ting TayCardiovascular & Metabolic Disorders, Duke-NUS Medical School, 8 College Rd, Singapore, 169857, Singapore.
Yibin WangCardiovascular & Metabolic Disorders, Duke-NUS Medical School, 8 College Rd, Singapore, 169857, Singapore. yibinwang@duke-nus.edu.sg.

Funding

National Medical Research Council MOH-001503
6 · The paper itself

Abstract

purpose of reviewCardiomyocyte postnatal maturation is a critical step of the mammalian heart development continuum, involving a myriad of phenotypic changes at morphological, molecular, and functional levels. While the phenotypic hallmarks of cardiac maturation are well characterized, the molecular mechanisms that govern this maturation process are still poorly defined. This review aims to explore the recent findings on how post-transcriptional regulations orchestrate the fetal-to-adult cardiomyocyte transition and to highlight their clinical implications for cardiac diseases and regeneration medicine. RECENT

findingsThe molecular regulations of cardiac maturation are distinct from the gene regulatory network implicated in embryonic stages of cardiac development. RNA alternative splicing and the resulting isoform switching events are significant part of the post-transcriptional reprogramming during the transitional stage of maturation, driving functional refinement through a network of RNA-binding proteins. Cardiomyocytes undergo significant changes in structure, physiology, metabolic activity, and proliferative capacities during fetal to adult maturation. Recent findings highlight the importance of post-transcriptional regulation in this process, in particular RNA alternative splicing and isoform switch. Understanding the post-transcriptional regulatory mechanisms, including key molecular players that contribute to the fetal-to-adult transition, can provide a new conceptual framework for cardiac development, diseases, and regenerative medicine.

Indexed as

Alternative SplicingHeartMyocytes, CardiacRNA SplicingAnimalsGene Expression Regulation, DevelopmentalHumansAlternative RNA splicingCardiac maturationCardiomyocyteIsoform switchPost-transcriptional regulation

Identifiers

What OpenQuestion holds

Textmetadata
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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.