Evidence map›Paper›PMID 42881561›Full record

ArticleThe Kaohsiung journal of medical sciences2026

Allogeneic Human Bone Marrow-Derived Mesenchymal Stem Cells Accelerate Diabetic Wound Healing via Inflammation Suppression and Angiogenesis Promotion: A Preclinical Study.

Rong-Fu Chen, Keng-Fan Liu, Chia-Chun Lee, Yu-Han Chen, Hsin-Hsin Shen, Yur-Ren Kuo

Abstract read
In one paragraph

Article in The Kaohsiung journal of medical sciences, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rong-Fu ChenDivision of Plastic Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.ORCID https://orcid.org/0000-0001-7529-5390
Keng-Fan LiuDivision of Plastic Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Chia-Chun LeeDivision of Plastic Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.ORCID https://orcid.org/0009-0006-9422-8672
Yu-Han ChenDivision of Plastic Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.ORCID https://orcid.org/0009-0003-0057-3503
Hsin-Hsin ShenBiomedical Technology and Device Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan.
Yur-Ren KuoDivision of Plastic Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.ORCID https://orcid.org/0000-0002-9388-5009

Funding

Kaohsiung Medical University Chung-Ho Memorial Hospital, Taiwan KMTTH-113-R005Kaohsiung Medical University Chung-Ho Memorial Hospital, Taiwan KMUH111-1M25National Science and Technology Council, NSTC 114-2314-B-037-080
6 · The paper itself

Abstract

Mesenchymal stem cells (MSCs) have been shown to enhance tissue regeneration and wound healing. This preclinical study investigated the therapeutic potential of human bone marrow-derived mesenchymal stem cells (hBM-MSCs) for accelerating diabetic wound healing. Isolated hBM-MSCs were characterized for surface marker expression and differentiation potential. Their migration-promoting effects were evaluated in vitro. For the in vivo study, a dorsal skin defect model was created in streptozotocin (STZ)-induced diabetic rats. Rats received periwound subcutaneous injections of low- or high-dose hBM-MSCs on Days 4 and 7, or freezing fluid as a vehicle control. Wound healing progression was assessed clinically, and tissue biopsies were analyzed using immunohistochemistry to evaluate inflammatory cell infiltration, cellular proliferation, and angiogenesis. hBM-MSCs exhibited the expected surface marker profile and multilineage differentiation potential. In vitro, hBM-MSCs significantly enhanced the migration of human umbilical vein endothelial cells and human foreskin fibroblasts. In vivo, wounds treated with hBM-MSCs showed significantly accelerated healing compared to vehicle-treated controls (p < 0.05). Immunohistochemical analysis revealed reduced inflammatory cell infiltration and increased expression of Ki-67, epidermal growth factor (EGF), vascular endothelial growth factor (VEGF), and prolyl 4-hydroxylase (P4H) in hBM-MSC-treated wounds. Allogeneic hBM-MSCs significantly promote diabetic wound healing by suppressing inflammation, enhancing cellular proliferation and differentiation, and stimulating angiogenesis. These findings highlight the therapeutic potential of allogeneic hBM-MSCs for treating diabetic wounds, particularly in patients unsuitable for autologous cell therapy.

Indexed as

allogeneic cell therapydiabetic wound healinghuman mesenchymal stem cellsinflammation modulationregenerative medicine

Identifiers

PMID42881561
PMCPMC13672872

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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.