[单细胞转录组分析揭示了糖尿病足溃疡的免疫失调和巨噬细胞重编程]。

Q2 Medicine
Chunli Huang, Yu Jiang, Wei Jiao, Ying Sui, Chunlei Wang, Yongtao Su
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引用次数: 0

摘要

目的:阐明糖尿病足溃疡(DFU)中巨噬细胞介导的炎症和组织损伤的机制。方法:采集糖尿病足溃疡和非溃疡性糖尿病足(NDFU)患者的皮肤组织样本。利用单细胞RNA测序共获得79 272个高质量的细胞转录组。采用无偏聚类方法鉴定细胞亚群。对DFU组和NDFU组进行系统比较分析,包括基因本体(Gene Ontology, GO)富集分析和差异表达基因筛选。结合细胞间通讯网络构建和配体-受体相互作用分析,从多个角度揭示DFU微环境中细胞相互作用和信号调控的机制。结果:结果显示DFU组织中髓系细胞显著扩增,同时结构细胞如内皮细胞、上皮细胞和平滑肌细胞明显减少。主要细胞类型经历了功能性重编程,其特征是免疫激活和受损组织重塑。具体来说,DFU组织中的巨噬细胞表现出向促炎M1表型的转变,与炎症和氧化应激相关的基因上调。细胞通讯分析进一步表明,M1巨噬细胞既是补体通路的主要信号受体和影响者,又是SPP1通路的关键信号发送者和调节者,积极塑造炎症微环境。确定了驱动巨噬细胞信号传导的关键配体-受体相互作用,包括C3-(ITGAM+ITGB2)和SPP1-CD44。结论:本研究建立了DFU的全面单细胞图谱,揭示了巨噬细胞驱动的细胞网络在慢性炎症和愈合受损中的作用。这些发现可能为DFU治疗提供潜在的新治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Single-cell transcriptomic analysis reveals immune dysregula-tion and macrophage reprogramming in diabetic foot ulcers].

Objectives: To elucidate the mechanisms underlying macrophage-mediated inflammation and tissue injury in diabetic foot ulcers (DFU).

Methods: Skin tissue samples were collected from patients with diabetic foot ulcers and with non-ulcer diabetic foot (NDFU). A total of 79 272 high-quality cell transcriptomes were obtained using single-cell RNA sequencing. An unbiased clustering approach was employed to identify cell subpopulations. Systematic comparative analyses between the DFU and NDFU groups were conducted, including Gene Ontology (GO) enrichment analysis and screening of differentially expressed genes. Furthermore, cell-cell communication network construction and ligand-receptor interaction analysis were integrated to reveal the mechanisms underlying cellular interactions and signaling regulation in the DFU microenvironment from multiple perspectives.

Results: The results revealed a significant expansion of myeloid cells in DFU tissues, alongside a marked reduction in structural cells such as endothelial cells, epithelial cells, and smooth muscle cells. Major cell types underwent functional reprogramming, characterized by immune activation and impaired tissue remodeling. Specifically, macrophages in DFU tissues exhibited a shift toward a pro-inflammatory M1 phenotype, with upregulation of genes associated with inflammation and oxidative stress. Cell communication analysis further demonstrated that M1 macrophages act as both primary signal receivers and influencers in the COMPLEMENT pathway, and as key signal senders and regulators in the SPP1 pathway, actively shaping the inflammatory microenvironment. Key ligand-receptor interactions driving macrophage signaling were identified, including C3-(ITGAM+ITGB2) and SPP1-CD44.

Conclusions: This study establishes a comprehensive single-cell atlas of DFU, revealing the role of macrophage-driven cellular networks in chronic inflammation and impaired healing. These findings may offer potential novel therapeutic targets for DFU treatment.

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来源期刊
CiteScore
3.80
自引率
0.00%
发文量
67
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