Evidence map›Paper›PMID 41120549›Full record

ArticleScientific reports2025

Transcriptomic dynamics of cardiac remodeling after myocardial infarction.

Ardo Sanjaya

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. Observational
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

1 author.

Ardo SanjayaDepartment of Anatomy, Faculty of Medicine, Maranatha Christian University, Bandung, 40164, West Java, Indonesia. ardo.sanjaya@med.maranatha.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial infarction (MI) initiates a cascade of biological changes ending in cardiac remodeling and heart failure. Recent studies have characterized transcriptional programs in post-infarct remodeling, focusing on discrete timepoints. This study adopted a complementary approach by constructing a temporal map of gene expression changes from minutes to weeks post-myocardial infarction. Two mouse RNA-sequencing datasets were integrated, covering post-infarction timepoints from 10 min to 28 days. Expression data were analyzed using clustering, functional enrichment, and network-based hub gene analysis to define distinct gene expression modules. Nine clusters were identified, including immune activation, extracellular matrix remodeling, mitochondrial dysfunction, and circadian rhythm disruption. Immune signatures peaked between 1 and 72 h post-MI, fibrotic remodeling and cell proliferation dominated the 3-7-day window, and fibrosis still extended to the 28-day mark. Mitochondrial dysfunction persisted into the 28th day, along with circadian rhythm and metabolic dysfunction. These trajectories highlight distinct pathways and the potential therapeutic windows across infarction. This research offers a timeline for temporally guided therapies in MI. Identifying distinct pathways and hub genes to provide a molecular basis for future studies targeting inflammation, fibrosis, metabolism, and chronobiology. These results may accelerate the development of more effective treatments for myocardial infarction.

Indexed as

Myocardial InfarctionTranscriptomeVentricular RemodelingAnimalsCircadian RhythmDisease Models, AnimalFibrosisGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksMaleMiceMyocardiumBiological clocksFibrosisInflammationMyocardial infarctionOxidative phosphorylationTime series

Identifiers

PMID41120549
PMCPMC12541056

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.