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Single-Cell and Machine Learning Analyses Identify a PFKFB3-Centered Regulatory Network and Potential Salidroside Interaction in Coronary Heart Disease

2026-05-12

Abstract excerpt

Coronary heart disease (CHD) is a leading cause of morbidity and mortality, driven by metabolic remodeling, vascular inflammation, and perivascular adipose tissue (PVAT) dysfunction. We integrated bulk transcriptomic datasets to develop a machine learning–based diagnostic model, evaluated 113 algorithms, and identified a seven-gene signature (PYGL, PTGS2, PFKFB3, MMP9, CYP1B1, CXCR1, ABCB1) with robust predictive...

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Literature Corpus work: 3e0f93f2-5cec-5288-a5d2-633e56bc9657
DOI: 10.20944/preprints202605.0739.v1

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Single-Cell and Machine Learning Analyses Identify a PFKFB3-Centered Regulatory Network and Potential Salidroside Interaction in Coronary Heart DiseaseDOI 10.20944/preprints202605.0739.v1Read

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