TRV-2026-1245Certified recordPeer-reviewed

Integrative Single-Cell Transcriptomics, Multi-Omics Analyses, and Computational Pharmacology Reveal Macrophage Heterogeneity and the Putative THBS1-CD36 Axis in Coronary Atherosclerosis

Coronary atherosclerosis (CA) is characterized by profound macrophage heterogeneity that drives plaque progression and vulnerability, yet the precise subpopulations and their niche-specific functions remain incompletely defined. Here, we constructed a single-cell transcriptomic atlas of human CA using dataset GSE131778 and identified six distinct macrophage subpopulations. Among these, the THBS1+ macrophage subset emerged as a terminally differentiated, hypoxia-adaptive population with elevated TGF-β signaling a…

Health · Good Space — documented gain · certified 2026-10-02 · v1 · article view · machine-readable

Current reading — gain

Training 13 machine learning classifiers on the NEW10 macrophage module enabled accurate distinction of acute coronary syndrome from stable coronary artery disease and ruptured from stable plaques, with SVM linear and Naive Bayes reaching AUC 0.9333 in independent testing.

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Findings remain computational predictions requiring further experimental validation, with THBS1-CD36 interaction and SMS121-CD36 binding presented as candidates for future investigation.

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Truvace Impact Record TRV-2026-1245, v1: “Integrative Single-Cell Transcriptomics, Multi-Omics Analyses, and Computational Pharmacology Reveal Macrophage Heterogeneity and the Putative THBS1-CD36 Axis in Coronary Atherosclerosis.” Truvace, 2026-10-02. /record/TRV-2026-1245 (accessed at citation time). sha256 a1d58cf9bed0891a…

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