Evidence map›Paper›PMID 41798077›Full record

ArticleInternational journal of genomics2026

Single-Cell Transcriptomics Reveals Dynamic Cellular Interactions and Molecular Mechanisms in Myocardial Infarction Recovery.

Jianfeng Zhao, Junhui Gong, Cunzhi Zhu

Abstract read
In one paragraph

Article in International journal of genomics, 2026. 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. Article
  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

3 authors.

Jianfeng ZhaoDepartment of Cardiology, The People's Hospital of Danyang (Affiliated Danyang Hospital of Nantong University), Danyang City, China.ORCID https://orcid.org/0009-0002-0653-3644
Junhui GongDepartment of Cardiology, The People's Hospital of Danyang (Affiliated Danyang Hospital of Nantong University), Danyang City, China.ORCID https://orcid.org/0009-0006-6114-7315
Cunzhi ZhuDepartment of Emergency, Nanjing Tianyinshan Hospital (The First Affiliated Hospital of China Pharmaceutical University), Nanjing City, China.ORCID https://orcid.org/0009-0001-0462-7180

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Repair and remodeling following myocardial infarction (MI) are complex processes with a wide array of cellular and molecular mechanisms; however, the cell source mediating repair is still poorly understood in terms of heterogeneity and temporal dynamics. Methods: We performed a single-cell RNA sequencing (scRNA-seq) analysis of cardiac tissues from different time points post-MI, as well as in gene knockout (ChrisKO) and health control groups. The data were mined by UMAP and t-SNE dimension reduction visualization, pseudotime trajectory analysis, cell communication network analysis, and gene expression pattern cluster. Results: A collection of cell types contributing to cardiac repair was identified, including fibroblasts, macrophages, endothelial cells, and cardiomyocytes that each expressed gene markers and showed temporal distributions associated with distinct injury phases. Pseudotime trajectory analysis identified a continuous change in cellular state from inflammatory to reparative phase, with immune cells in early stages and tissue repair cells at latter stages. The activation of macrophage migration inhibitory factor (MIF) signaling pathway is highly involved in repair after MI, where chemokine-secreting cells and cardiac fibroblasts act as major MIF signal sources. Network analysis of the intercellular communication revealed that macrophages are key orchestrators of repair. When analyzing branch-specific gene expression, we found that several important regulatory factors including Atpdv1h, Lypla1, Mrpl15, Tcea1, Apoa, Cldn1, Dpep1, and Map had changing trends at different phases during regeneration. Conclusion: Our study profiled a panoramic landscape of cellular and molecular dynamics after MI at single-cell resolution, demonstrating key cell communication networks and regulatory genes that present novel targets for developing therapeutic strategy toward cardiac repair.

Indexed as

cell communicationmacrophage migration inhibitory factormyocardial infarctionpseudotime trajectorysingle-cell RNA sequencing

Identifiers

PMID41798077
PMCPMC12966613

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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.