Evidence map›Paper›PMID 42472255›Full record

ArticleInternational journal of genomics2026

Arg1 and Tgfb1 Identify a Partially Shared Macrophage Polarization Program in Postinfarction Cardiac Repair: A Single-Cell Transcriptomic Analysis.

Baobao Liu, Fuli Liang

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.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Baobao LiuDepartment of Coronary Heart Disease Second, Qinghai Special Hospital of Cardio-Cerebrovascular Diseases, Xining City, Qinghai Province, China.ORCID https://orcid.org/0009-0009-1756-9491
Fuli LiangDepartment of Coronary Heart Disease Second, Qinghai Special Hospital of Cardio-Cerebrovascular Diseases, Xining City, Qinghai Province, China.ORCID https://orcid.org/0009-0007-6811-7423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postinfarction cardiac repair is orchestrated by macrophages that undergo sequential polarization from proinflammatory M1 to reparative M2 states. These macrophage subsets regulate inflammation resolution, angiogenesis, and fibrotic remodeling in the infarcted myocardium. Tumor-associated macrophages (TAMs) in breast cancer share transcriptional features with cardiac M2 macrophages, providing an opportunity for cross-disease comparison of shared immune programs. Understanding the molecular programs common to reparative macrophages across pathological contexts may identify candidate regulatory nodes for future therapeutic investigation. Methods: Single-cell RNA sequencing data were obtained from GEO: GSE136088 (murine post-AMI cardiac macrophages), GSE176078 and GSE167036 (human primary breast cancer). Analyses included quality control, UMAP/t-SNE dimensionality reduction, graph-based clustering, diffusion pseudotime trajectory reconstruction, ligand-receptor communication analysis, principal component analysis, and cross-dataset correlation analysis. All analyses were performed in Python using scanpy with cross-species ortholog mapping in R (biomaRt, 14,892 one-to-one mouse-human orthologs) with downstream analyses in Python (scanpy). Results: Post-QC datasets (GSE136088: ~14,900 cells; GSE176078: 100,064 cells; and GSE167036: 49,141 cells) were analyzed. UMAP and t-SNE resolved multiple macrophage and immune subpopulations across all three datasets. Diffusion pseudotime analysis reconstructed a sequential activation trajectory with an M1/M2 fate bifurcation. A 7-gene coexpression module (Spp1, Mif, Tgfb1, Arg1, Il10, Tnf, and Mrc1) was identified in cardiac macrophages and showed partially conserved expression patterns in breast cancer macrophage populations (GSE176078: Pearson r = 0.72; GSE167036: 6 of 7 genes detected, ARG1 not detected). Ligand-receptor communication analysis identified MIF-ACKR3, SPP1-CD44, and TGFB1-TGFBR2 as shared ligand-receptor pairs mediating macrophage-stromal communication in both cardiac and tumor microenvironments. Cross-dataset Pearson correlation of the 7-gene module between cardiac macrophages and breast cancer macrophage populations reached Conclusion: This single-cell transcriptomic analysis characterizes macrophage polarization programs in postinfarction cardiac repair and evaluates their partial conservation in breast cancer. The identified 7-gene module showed moderate cross-dataset correlation with GSE176078 (

Indexed as

acute myocardial infarctioncell communicationcross-disease transcriptomicsimmune validationmacrophage immune polarizationMIF signalingpseudotime trajectorysingle-cell RNA sequencingtumor-associated macrophages

Identifiers

PMID42472255
PMCPMC13379942

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