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PMID: 42589358 已发表 · epublish 英语

Multi-Omics Profiling Reveals Neutrophil Extracellular Trap Dysregulation in Diabetic Foot Ulcer Healing Impairment.

International journal of molecular sciences ·第 27 卷 ·第 15 期 ·2026-07-27

Li D, Gu H, Xia S, Yuan L, Bao J, Lu Q

摘要

Diabetic foot ulcer (DFU) affects approximately 25% of diabetic patients and represents the leading cause of non-traumatic lower extremity amputation. Neutrophil extracellular traps (NETs) contribute to chronic inflammation; however, their mechanistic role in DFU healing failure remains incompletely characterized. This study integrated bulk RNA sequencing (GSE143735, n = 9) and single-cell RNA sequencing (scRNA-seq; GSE165816, n = 11) datasets to investigate NET-related transcriptional programs. Differential expression analysis identified 96 differentially expressed genes, with significant NET pathway enrichment in non-healers (normalized enrichment score = 4.35, false discovery rate q < 0.001). Analysis of 33,654 single cells revealed elevated NET activity scores in neutrophils from non-healing wounds (p = 4.73 × 10-159). Four neutrophil subpopulations were identified, with the NETs-high subset expanded in non-healers (43.1% versus 15.4%). Cell-cell communication analysis demonstrated enhanced S100A8/A9-RAGE and IL1B-IL1R signaling in the non-healing state. A six-gene signature (S100A8, S100A9, MPO, ELANE, NCF1, HMGB1) achieved an area under the receiver operating characteristic curve of 0.750 for healing prediction under leave-one-out cross-validation. These findings implicate NET pathway activation as a potential driver of DFU healing impairment and identify candidate prognostic biomarkers warranting prospective validation.

关键词
diabetic foot ulcer machine learning multi-omics integration neutrophil extracellular traps prognostic biomarker single-cell transcriptomics
文献信息
期刊
International journal of molecular sciences
期刊简称
Int J Mol Sci
ISSN
1422-0067
发表日期
2026-07-27
语言
英语
国家/地区
Switzerland
NLM ID
101092791
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