Hybrid GelMA-HAMA hydrogels incorporating dexamethasone-loaded PLGA nanoparticles for controlled release and osteogenic differentiation for bone tissue regeneration
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Elsevier
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The development of novel approaches to bone regeneration remains a challenge in medicine. For such, the control release of biochemical factors appears key to successfully regulate the regeneration process. In this work, the characterization of methacrylated gelatin (GelMA)-hyaluronic acid (HAMA) hydrogels that incorporated dexamethasone-loaded poly(lactic-co-glycolic acid) nanoparticles (DEX-PLGA NPs) was explored as potential scaffolds for bone tissue regeneration. The DEX-PLGA NPs were synthesized and incorporated into the polymeric hydrogels to achieve a controlled and sustained release of the drug in order to ensure the progressive osteogenic differentiation of adipose-derived mesenchymal stem cells (adMSC) within the scaffold. The physicochemical properties of the NP-loaded hydrogels were not affected by the incorporation of DEX-PLGA NPs. In vitro studies demonstrated that these hybrid hydrogels are biocompatible and presented excellent cell adhesion, proliferation, and differentiation properties promoted by the sustained release of dexamethasone as observed, for example, by the alkaline phosphatase (ALP) assay, which confirmed large concentrations of phosphate ions after the first 14 days of incubation. Furthermore, Alizarin Red S staining corroborated a good mineralization, indicative of effective bone matrix formation.
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Brenda Velasco, Luis Diaz-Gómez, L.C. Rosales-Rivera, Alberto Pardo, S. Barbosa, J.F.A. Soltero Martínez, P. Taboada, Hybrid GelMA-HAMA hydrogels incorporating dexamethasone-loaded PLGA nanoparticles for controlled release and osteogenic differentiation for bone tissue regeneration, European Polymer Journal, Volume 239, 2025, 114311, ISSN 0014-3057, https://doi.org/10.1016/j.eurpolymj.2025.114311
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https://doi.org/10.1016/j.eurpolymj.2025.114311Sponsors
The authors gratefully acknowledge the financial support of Agencia Estatal de Investigación (AEI) for funding through project PID2022-142682OB-I00 and PCI2022-134981-2, Xunta de Galicia for grant ED431C 2022/28, ED481B-2023-065 and ERDF funds.
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Attribution-NonCommercial-NoDerivatives 4.0 International








