Evidence map›Paper›PMID 40252113›Full record

ArticleArchives of dermatological research2025

Identifying key targets and immune environment in wound healing based on iron overload-related genes.

Yinbo Peng, Juxiang Sheng, Tiantian Liu, Ruizhe He, Peng Xu

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Article in Archives of dermatological research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Yinbo Peng *Department of Burns and Plastic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201900, China.
Juxiang Sheng *Department of Burns and Plastic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201900, China.
Tiantian LiuDepartment of Burns and Plastic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201900, China.
Ruizhe HeDepartment of Burns and Plastic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201900, China.
Peng XuDepartment of Burns and Plastic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201900, China. tomcat197532@sina.com.

Funding

Shanghai Clinical Research Center of Plastic and Reconstructive Surgery, supported by the Science and Technology Commission of Shanghai Municipality 22MC1940300SJTU Trans-Med Awards Research WF5401X62X603The Biomaterials and Regenerative Medicine Institute Cooperative Research Project, Shanghai Jiaotong University School of Medicine 2022LHA05
6 · The paper itself

Abstract

Wound healing (WH) poses a significant socio-economic burden due to its high incidence and recurrence rates. Iron overload (IO) could be a factor leading to delayed WH. This study thus analyzed IO-related genes (IORGs) in WH, offering possibilities for developing new therapeutic strategies. Differential gene expression (DEGs) analysis was conducted between the WH group and intact skin (IS) group, intersected with IORGs to obtain differentially expressed IORGs (DE-IORGs). Functional enrichment analysis and potential drug screening were performed on DE-IORGs. A protein-protein interaction (PPI) network of DE-IORGs was constructed, and hub genes were identified using CytoHubba and MCODE methods. ROC curves of hub genes were plotted, and their expression levels in WH and IS groups as well as inter-gene correlations were analyzed. Additionally, immune infiltration variances in WH and IS groups, along with miRNA and TFs of hub genes, were examined. Finally, the effect of EGFR on skin wound healing was verified by scratch healing assay. 39 DE-IORGs were predominantly enriched in signaling pathways like HIF-1 signaling pathway and Th17 cell differentiation. Potential drugs for treating WH (e.g., felbamate, SA-94315, GANT-58, rucaparib) were identified. Three hub genes related to IO in WH were pinpointed (HIF1A, CDKN2A, EGFR) with diagnostic value. Immune infiltration analysis showed higher levels of immune cells like endothelial cells and macrophages in the WH group. Additionally, 55 miRNAs (e.g., hsa-mir-200a-3p, hsa-mir-218-5p) and 2 TFs (L3MBTL2, ZNF76) regulating the three hub genes were predicted. Cell experiments showed that EGFR could promote skin wound healing. The study suggested HIF1A, CDKN2A, and EGFR as potential diagnostic biomarkers for effective WH diagnosis, offering new insights into identifying potenti1al therapeutic targets for WH treatment.

Indexed as

Iron OverloadSkinWound HealingErbB ReceptorsGene Expression ProfilingGene Regulatory NetworksHumansMicroRNAsProtein Interaction MapsSignal TransductionEGFR protein, humanErbB ReceptorsMicroRNAsDiagnostic valueImmune microenvironmentIron overloadKey targetsWound healing

Identifiers

PMID40252113

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.