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Neutrophil extracellular traps-related biomarkers in idiopathic pulmonary arterial hypertension: A machine learning-based identification and experimental validation study
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DOI：10.1016/j.molimm.2026.04.008.png)
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Abstract
En 中文
• Integrated machine learning of transcriptomic data identified 5 novel NET-related biomarkers for idiopathic pulmonary arterial hypertension (IPAH). • The diagnostic potency of key biomarkers (MGAM, CSF3R, ITGAM) was confirmed in a rat model, with cell-type-specific expression revealed by scRNA-seq. • Immune profiling uncovered a "high-NET" IPAH subgroup with distinct thromboinflammatory features, aiding precision diagnosis and targeted therapy.
Keywords:
Idiopathic pulmonary arterial hypertension
Neutrophil extracellular traps
Single-cell RNA sequencing
Machine learning
Immune infiltration”
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