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基于转录组特征鉴定促进糖尿病伤口愈合的化合物

Identification of compounds to promote diabetic wound healing based on transcriptome signature.

作者信息

Shang Jiamin, Liu Zhaoyu, Liang Meidai, Yin Zijie, Yang Zeyu, Ye Xiaomeng, Du Guanhua, Yang Xiuying

机构信息

Beijing Key Laboratory of Innovative Drug Discovery and Polymorphic Druggability Research for Cerebrovascular Diseases, Institute of Materia Medica of Peking Union Medical College, Beijing, China.

Department of Pharmacy, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.

出版信息

Front Pharmacol. 2025 Jun 2;16:1576056. doi: 10.3389/fphar.2025.1576056. eCollection 2025.

Abstract

PURPOSE

Diabetic wounds are characterized by delayed healing, and the resulting diabetic foot ulcer may lead to severe complications, including amputations and mortality. This study aimed to identify potential small molecule drug candidates that can enhance diabetic wound healing through integrating transcriptome signature and experimental validation strategies.

METHOD

Gene expression dataset (GSE147890) from a diabetic skin humanized mice model in the Gene Expression Omnibus database was analyzed to identify differentially expressed genes between diabetic and normal skin, as well as the wound edge at 24 h. The DEGs were integrated with wound-related genes from the Comparative Toxicogenomics Database to construct a diabetes-specific wound gene profile. Then, the expression signatures were analyzed using the ClusterProfiler package in R for Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Hub genes were identified through the String database and Cytoscope software. The Connectivity Map (CMap) was employed to predict compounds with potential therapeutic effects on diabetic wound healing. These predications were validated through and experiments.

RESULTS

A total of 167 DEGs were identified between diabetic and normal wounds, with significant enrichment in biological processes related to the extracellular matrix and collagen. The top ten hub genes were predominantly associated with collagen synthesis and inflammatory responses. CMap analysis identified 12 small-molecule compounds, top four of which were further investigated. experiments demonstrated that two compounds promoted fibroblast proliferation. studies revealed that compound CG-930 enhanced early inflammatory responses and upregulated the Nod-like receptor signaling pathway, significantly improving wound healing in streptozotocin (STZ) -induced diabetic mice.

CONCLUSION

This study highlights the altered expression profiles associated with delayed diabetic wound healing, including reduced inflammation and collagen production. Further drug screening identified compound CG-930 as a novel therapeutic agent with significant potential to promote wound healing in diabetic conditions.

摘要

目的

糖尿病伤口的特点是愈合延迟,由此产生的糖尿病足溃疡可能导致严重并发症,包括截肢和死亡。本研究旨在通过整合转录组特征和实验验证策略,确定能够促进糖尿病伤口愈合的潜在小分子药物候选物。

方法

分析基因表达综合数据库中糖尿病皮肤人源化小鼠模型的基因表达数据集(GSE147890),以确定糖尿病皮肤与正常皮肤之间以及24小时时伤口边缘的差异表达基因。将差异表达基因与比较毒理基因组学数据库中的伤口相关基因整合,构建糖尿病特异性伤口基因图谱。然后,使用R语言中的ClusterProfiler软件包对表达特征进行分析,以进行基因本体论和京都基因与基因组百科全书(KEGG)富集分析。通过String数据库和Cytoscope软件确定枢纽基因。利用连接图谱(CMap)预测对糖尿病伤口愈合具有潜在治疗作用的化合物。通过[具体实验1]和[具体实验2]实验对这些预测进行验证。

结果

在糖尿病伤口和正常伤口之间共鉴定出167个差异表达基因,在与细胞外基质和胶原蛋白相关的生物学过程中显著富集。前十个枢纽基因主要与胶原蛋白合成和炎症反应相关。CMap分析确定了12种小分子化合物,其中前四种化合物进一步研究。[具体实验1]实验表明,两种化合物促进成纤维细胞增殖。[具体实验2]研究表明,化合物CG - 930增强早期炎症反应并上调Nod样受体信号通路,显著改善链脲佐菌素(STZ)诱导的糖尿病小鼠的伤口愈合。

结论

本研究突出了与糖尿病伤口愈合延迟相关的表达谱变化,包括炎症和胶原蛋白生成减少。进一步的药物筛选确定化合物CG - 930为一种新型治疗剂,具有显著促进糖尿病条件下伤口愈合的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d4d/12171139/a02a5a9e9a80/FPHAR_fphar-2025-1576056_wc_abs.jpg

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