Issue 41, 2024, Issue in Progress

MOF@platelet-rich plasma antimicrobial GelMA dressing: structural characterization, bio-compatibility, and effect on wound healing efficacy

Abstract

In this study, a metal–organic framework (MOF) antimicrobial gel loaded with platelet-rich plasma (PRP) was prepared to improve the biological properties of gelatin gels and enhance their wound healing efficiency. PRP, MOF particles, and PRP-loaded MOF particles were each integrated into gelatin gels. The performance of the gels was evaluated for micro-structure, mechanical strength, in vitro bio-compatibility and pro-wound healing effects. The results revealed that the integration of PRP created a multi-cross-linked structure, increasing the ductility of the gels by over 40%. The addition of MOF particles significantly increased the strength of the gel from 13 kPa to 43 kPa. The combination of MOF and PRP further improved the cell induction and migration capabilities of the composite gel, and the scratches in the PRP/MOF@GelMA group had completely healed within 48 h. Due to the presence of MOF and PRP, the gel dressing exhibited inhibitory effects of 45.7% against Staphylococcus aureus (S. aureus) and 50.2% against Escherichia coli (E. coli). Different gels promoted tissue regeneration and wound healing ability of bacterial-infected wounds in C57 rats, while PRP/MOF@GelMA showed the strongest wound repair ability with 100% healing. This study provides a new strategy for the development and clinical application of gel dressings.

Graphical abstract: MOF@platelet-rich plasma antimicrobial GelMA dressing: structural characterization, bio-compatibility, and effect on wound healing efficacy

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Article information

Article type
Paper
Submitted
21 Jun 2024
Accepted
11 Sep 2024
First published
20 Sep 2024
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2024,14, 30055-30069

MOF@platelet-rich plasma antimicrobial GelMA dressing: structural characterization, bio-compatibility, and effect on wound healing efficacy

P. Huang, Y. He, C. Huang, S. Jiang, J. Gan, R. Wu, C. Ai, J. Huang, C. Yao and Q. Chen, RSC Adv., 2024, 14, 30055 DOI: 10.1039/D4RA04546G

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