aceComprehensive analysis of neutrophil extracellular traps-associated inflammatory genes for patients with idiopathic pulmonary fibrosis
Neutrophil extracellular traps (NETs) facilitate inflammation and epithelial-mesenchymal transition (EMT), promoting the progression of pulmonary fibrosis. Various machine learning methods were used to screen for prognostic genes. Based on prognostic genes, a risk model was constructed to assess their ability for prognosis prediction of idiopathic pulmonary fibrosis (IPF). Mendelian Randomization (MR) analysis evaluated causal associations between IPF and prognostic genes, while GSE122960 examined cell-type-spec…
Machine learning screening identified MMP1, CXCR7, and TPST1 and built a NET-inflammation-associated model that predicted prognosis for idiopathic pulmonary fibrosis patients.
Evidence
- Peer-reviewedMolecular Genetics and Genomics2026-07-14
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Truvace Impact Record TRV-2026-0224, v1: “Comprehensive analysis of neutrophil extracellular traps-associated inflammatory genes for patients with idiopathic pulmonary fibrosis.” Truvace, 2026-07-15. /record/TRV-2026-0224 (accessed at citation time). sha256 abf0616a779b0243…
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