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ORIGINAL RESEARCH article

Front. Cell Dev. Biol.
Sec. Stem Cell Research
Volume 12 - 2024 | doi: 10.3389/fcell.2024.1468220
This article is part of the Research Topic Current Methods for Detecting and Diagnosing Stem Cell Pathogenesis: A Focus on Translational Interventions in the Contemporary Disease and Technology Landscape View all 3 articles

Therapeutic Potential of ADSCs in Diabetic Wounds: A Proteomics-Based Approach

Provisionally accepted
Yuan Gu Yuan Gu 1,2Zelan Mu Zelan Mu 1,2*Yuanzheng Chen Yuanzheng Chen 3*Jie Shi Jie Shi 4*Nan Bai Nan Bai 2*Can Wu Can Wu 2*
  • 1 Shandong Second Medical University, Weifang, China
  • 2 Linyi People's Hospital, Linyi, Shandong Province, China
  • 3 Emergency General Hospital, beijing, China
  • 4 The People's Hospital of Liaoning Province, Shenyang, Liaoning Province, China

The final, formatted version of the article will be published soon.

    Background: Diabetes mellitus (DM), a chronic metabolic disease characterized by elevated blood sugar, leads to delayed or non-healing wounds, increasing amputation risks, and placing a significant burden on patients and society.While extensive research has been conducted on adipose-derived stem cells (ADSCs) for promoting wound healing, there is a scarcity of studies focusing on diabetic wounds, particularly those employing proteomics and bioinformatics approaches.Objective: This study aimed to investigate the mechanisms by which ADSCs promote diabetic wound healing using proteomics and bioinformatics techniques.Methods: Healthy rat fat tissue was used to isolate ADSCs. A T2DM rat model with back wounds was established. The experimental group received ADSC injections around the wound, while the control group received PBS injections.Wound healing rates were documented and photographed on days 0, 3, 7, 10, and 14. On day 7, wound tissues were excised for HE and Masson's staining. Additionally, on day 7, tissues were analyzed for protein quantification using 4D-DIA, with subsequent GO and KEGG analyses for differentially expressed proteins (DEPs) and protein-protein interaction (PPI) network analysis using STRING database (String v11.5). Finally, western blot experiments were performed on day 7 wounds to verify target proteins.In all measured days postoperatively, the wound healing rate was significantly higher in the ADSC group than in the PBS group (day 7: p < 0.001, day 10: p = 0.001, day 14: p < 0.01), except on day 3 (p > 0.05).Proteomic analysis identified 474 differentially expressed proteins, with 224 key proteins after PPI analysis (78 up-regulated and 146 down-regulated in the ADSC group). The main cellular locations of these proteins were "cellular anatomical entity" and "protein-containing complex", while the biological processes were "cellular processes" and "biological regulation". The primary molecular functions were "binding" and "catalytic activity", with GO enrichment focused on "Wnt-protein binding", "neural development", and "collagen-containing extracellular matrix". Further analysis of PPI network nodes using LASSO regression identified Thy1 and Wls proteins, significantly up-regulated in the ADSC group, as potentially crucial targets for ADSC application in diabetic wound treatment.

    Keywords: Diabetic wounds, Proteomics, adipose stem cells, bioinformatics, chronic wounds

    Received: 21 Jul 2024; Accepted: 26 Aug 2024.

    Copyright: © 2024 Gu, Mu, Chen, Shi, Bai and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Zelan Mu, Shandong Second Medical University, Weifang, China
    Yuanzheng Chen, Emergency General Hospital, beijing, China
    Jie Shi, The People's Hospital of Liaoning Province, Shenyang, Liaoning Province, China
    Nan Bai, Linyi People's Hospital, Linyi, Shandong Province, China
    Can Wu, Linyi People's Hospital, Linyi, Shandong Province, China

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