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Three-dimensional bioprinting of mesenchymal stem cells using an osteoinductive bioink containing alginate and BMP-2-loaded PLGA nanoparticles for bone tissue engineering

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Author(s)
Choe GoeunLee MingyuOh SeulgiSeok Ji MinKim JunghyunIm SeunghyunPark Su A.Lee, Jae Young
Type
Article
Citation
Materials Science and Engineering C, v.136
Issued Date
2022-05
Abstract
Hydrogels mimicking the physicochemical properties of the native extracellular matrix have attracted great attention as bioinks for three-dimensional (3D) bioprinting in tissue engineering applications. Alginate is a widely used bioink with beneficial properties of fast gelation and biocompatibility; however, bioprinting using alginate-based bioinks has several limitations, such as poor printability, structural instability, and limited biological activities. To address these issues, we formulated various bioinks using bone morphogenetic protein-2 (BMP-2)-loaded poly(lactic-co-glycolic acid) (PLGA) nanoparticles and alginate for mesenchymal stem cell (MSC) printing and induction of osteogenic differentiation. Incorporation of PLGA nanoparticles into alginate could enhance the mechanical properties and printability of the bioink. In particular, Alg/NPN30 (30 mg/mL PLGA nanoparticles and 3% w/v alginate) was most suitable for 3D printing with respect to printability and stability. BMP-2-loaded PLGA nanoparticles (NPBMP-2) displayed sustained in vitro release of BMP-2 for up to two weeks. Further in vitro studies indicated that bioinks composed of alginate and NPBMP-2 significantly induced osteogenesis of the MSCs compared with other controls, evidenced by enhanced calcium deposition, alkaline phosphatase activity, and gene expression of osteogenic markers. Our novel bioink consisting of widely used biocompatible components displays good printability, stability, and osteogenic inductivity, and holds strong potential for cell printing and bone tissue engineering applications.
Publisher
Elsevier BV
ISSN
0928-4931
DOI
10.1016/j.bioadv.2022.212789
URI
https://scholar.gist.ac.kr/handle/local/33532
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