Evidence map›Paper›PMID 42884961›Full record

ArticlePolymers2026

A Bioactive 3D-Bioprinted AuNC@DHLA/GelMA Hydrogel Containing Skin Cells Promotes Burn Wound Healing and Tissue Regeneration.

Kuang-Ling Ou, Chun-Ting Chen, Kai-Chieh Chou, Peng-Chi Jou, Juin-Hong Cherng, Yi-Wen Wang

Abstract read
In one paragraph

Article in Polymers, 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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1 · What the graph read from it

What it found

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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.

Kuang-Ling OuDivision of Plastic and Reconstructive Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical University, Taipei 114, Taiwan.ORCID 0000-0001-9536-2677
Chun-Ting ChenDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Tri-Service General Hospital Penghu Branch, National Defense Medical University, Penghu County 880, Taiwan.
Kai-Chieh ChouGraduate Institute of Biology and Anatomy, College of Biomedical Sciences, National Defense Medical University, Taipei 114, Taiwan.
Peng-Chi JouGraduate Institute of Biology and Anatomy, College of Biomedical Sciences, National Defense Medical University, Taipei 114, Taiwan.
Juin-Hong CherngGraduate Institute of Life Sciences, National Defense Medical University, Taipei 114, Taiwan.ORCID 0000-0002-7722-6134
Yi-Wen WangGraduate Institute of Biology and Anatomy, College of Biomedical Sciences, National Defense Medical University, Taipei 114, Taiwan.ORCID 0000-0002-4509-9572

Funding

Ministry of National Defense Medical Affairs Bureau MND-MAB-E-115141 to K-L Ou and MND-MAB-D-115181 to Y-W WangNational Science and Technology Council NSTC 114-2314-B-016-032 to K-L Ou and NSTC 113-2635-B-016 -001 -MY2 to Y-W WangTri-Service General Hospital TSGH_A_113095, TSGH_A_115014 to K-L OuTri-Service General Hospital Penghu Branch TSGH-PH_E_112012, TSGH-PH_E_114001, TSGH-PH_E_115006 to C-T Chen
6 · The paper itself

Abstract

Severe burn injuries are often associated with excessive and prolonged inflammation, resulting in delayed wound healing and poor tissue regeneration. Accordingly, the development of effective skin substitutes capable of modulating inflammation and promoting tissue repair remains a critical challenge in regenerative medicine. Gelatin methacryloyl (GelMA) has emerged as a promising biomaterial for tissue engineering applications. Moreover, dihydrolipoic acid-modified gold nanoclusters (AuNC@DHLA) have demonstrated anti-inflammatory and regenerative-promoting effects. In this study, we fabricated a bioactive tissue-engineered skin construct by incorporating AuNC@DHLA, fibroblasts, and keratinocytes into a 3D-bioprinted GelMA hydrogel scaffold. The therapeutic efficacy of the cell-laden AuNC@DHLA/GelMA scaffold was evaluated using a murine burn wound model. Furthermore, RNA sequencing was further conducted to explore the molecular mechanisms underlying wound repair, and the findings were subsequently validated by immunohistochemistry. The results demonstrated that the scaffold significantly attenuated local inflammatory responses and accelerated burn wound closure compared with control treatments. Transcriptomic analysis revealed the modulation of inflammation-related and tissue regeneration-associated pathways, which was further confirmed by immunohistochemical analyses. Collectively, these findings indicate that the AuNC@DHLA/GelMA bioengineered skin substitute promotes burn wound healing by regulating the inflammatory microenvironment and enhancing tissue regeneration. This strategy represents a promising therapeutic approach for the treatment of severe burn injuries.

Indexed as

3D bio-printingburn injuryhydrogelnanoparticleskin substitutestissue engineeringwound healing

Identifiers

PMID42884961
PMCPMC13666594

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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.