Evidence map›Paper›PMID 42389516›Full record

ReviewFrontiers in immunology2026

The role of the bidirectional regulatory network between immune cells and stromal cells in cardiac repair and fibrosis following myocardial infarction.

Fuyuan Zhang, Yiying Liu, Ruikang Liu, Baohua Li, Jun Li

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. 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

5 authors.

Fuyuan Zhang *Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yiying Liu *Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Ruikang Liu *Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Baohua LiChina Academy of Chinese Medical Sciences Eye Hospital, Beijing, China.
Jun LiGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure following myocardial infarction (MI) is a major complication affecting long-term prognosis of patient, with its core pathological processes being ventricular pathological remodeling and fibrosis. This process is not merely simple scar formation, but is dominated by a continuous, dynamic, and intricate bidirectional dialogue between immune cells and cardiac stromal cells. This review systematically mapped the complex interactive networks between immune cells-including neutrophils, macrophages, and lymphocytes-and stromal cells such as cardiac fibroblasts, endothelial cells, and pericytes during the spatiotemporal evolution following MI. We emphasizes the key communication pathways involving cytokines, chemokines, fibrotic signals, and active signals from the microenvironment. And we mappied their spatiotemporal network governing the initiation and resolution of inflammation and fibrosis. Simultaneously, we explored how this network's imbalance shifts from essential repair responses to pathological fibrosis, ultimately leading to heart failure. Furthermore, we summarized novel therapeutic strategies targeting the immune-matrix axis, aiming to provide new perspectives and theoretical foundations for the precise prevention and treatment of heart failure following MI.

Indexed as

Myocardial InfarctionMyocardiumStromal CellsAnimalsCell CommunicationFibrosisHeart FailureHumansMacrophagesSignal Transductioncardiac fibrosiscell communicationheart failureimmune cellsmyocardial infarctionstromal cellstreatment

Identifiers

PMID42389516
PMCPMC13318714

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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.