Evidence map›Paper›PMID 42516950›Full record

ArticleFrontiers in cardiovascular medicine2026

Integrated multi-omics profiling of the early post-infarct heart reveals a hub gene network associated with myeloid-driven inflammation.

Zeyang Wang, Jinhu Shi, Yinchuan Lai, Song Wang

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zeyang Wang *Department of Cardiology, General Hospital of Central Theater Command of PLA, Wuhan, China.
Jinhu Shi *Department of Cardiology, General Hospital of Central Theater Command of PLA, Wuhan, China.
Yinchuan LaiDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Song WangDepartment of Cardiology, General Hospital of Central Theater Command of PLA, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The early inflammatory phase (EIP, 0-72 h) post-acute myocardial infarction (AMI) is a critical determinant of cardiac repair and clinical outcomes. However, a comprehensive understanding of the regulatory gene networks and cellular interactions that govern this decisive period remains incomplete. This study aimed to define the key transcriptional programs and immune dynamics during the EIP of AMI. Methods: We performed an integrated analysis of time-series bulk RNA-sequencing (RNA-seq) datasets (GSE206281, GSE153494) from murine myocardium post-ischemia. Single-cell RNA-seq (scRNA-seq) data (GSE163129, GSE163465) from cardiac immune cells were analyzed to characterize cellular heterogeneity and intercellular communication. A multi-modal framework combining inflammatory progression scoring with weighted gene co-expression network analysis (WGCNA) was applied to identify critical modules. Hub genes were pinpointed through protein-protein interaction network analysis and intersection with inflammation-related genes (IRGs). Their association with immune infiltration was assessed, and expression was validated in an external dataset, a murine AMI model, and a human peripheral blood cohort (GSE60993). Results: Temporal analysis identified 160 dynamically regulated genes post-AMI, prominently enriched in myeloid leukocyte activation and extracellular matrix organization. scRNA-seq revealed a remodeled immune landscape at day 3, characterized by increased proportions of macrophages, monocytes, and neutrophils, alongside enhanced intercellular signaling via pathways such as MIF and GALECTIN. Network analysis distilled a core set of seven inflammation-associated hub genes ( Conclusions: This study delineates a high-resolution map of transcriptional and cellular dynamics during the EIP of AMI, revealing a coordinated network of inflammatory mediators linked to early myeloid cell recruitment and activation. The identified seven-candidate hub genes represents a prioritized set of candidates for future investigation into diagnostic biomarkers and therapeutic strategies targeting the early inflammatory window.

Indexed as

acute myocardial infarctionhub genesimmune infiltrationinflammatory-related genesRNA-seqsingle-cell RNA sequencing

Identifiers

PMID42516950
PMCPMC13402454

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