Article (Scientific journals)
Model-Based Design to Enhance Neotissue Formation in Additively Manufactured Calcium-Phosphate-Based Scaffolds
Liang, Bingbing; Sadeghian Dehkord, Ehsan; Van hede, Dorien et al.
2023In Journal of Functional Biomaterials, 14 (563), p. 22
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Keywords :
bone tissue engineering; dental bone regeneration; porous scaffold; biomaterials; 3D printing; computer modeling and simulation; in silico medicine; optimal design; porosity
Abstract :
[en] In biomaterial-based bone tissue engineering, optimizing scaffold structure and composition remains an active field of research. Additive manufacturing has enabled the production of custom designs in a variety of materials. This study aims to improve the design of calcium-phosphatebased additively manufactured scaffolds, the material of choice in oral bone regeneration, by using a combination of in silico and in vitro tools. Computer models are increasingly used to assist in design optimization by providing a rational way of merging different requirements into a single design. The starting point for this study was an in-house developed in silico model describing the in vitro formation of neotissue, i.e., cells and the extracellular matrix they produced. The level set method was applied to simulate the interface between the neotissue and the void space inside the scaffold pores. In order to calibrate the model, a custom disk-shaped scaffold was produced with prismatic canals of different geometries (circle, hexagon, square, triangle) and inner diameters (0.5 mm, 0.7 mm, 1 mm, 2 mm). The disks were produced with three biomaterials (hydroxyapatite, tricalcium phosphate, and a blend of both). After seeding with skeletal progenitor cells and a cell culture for up to 21 days, the extent of neotissue growth in the disks’ canals was analyzed using fluorescence microscopy. The results clearly demonstrated that in the presence of calcium-phosphate-based materials, the curvature-based growth principle was maintained. Bayesian optimization was used to determine the model parameters for the different biomaterials used. Subsequently, the calibrated model was used to predict neotissue growth in a 3D gyroid structure. The predicted results were in line with the experimentally obtained ones, demonstrating the potential of the calibrated model to be used as a tool in the design and optimization of 3D-printed calcium-phosphate-based biomaterials for bone regeneration.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Liang, Bingbing ;  Université de Liège - ULiège > GIGA
Sadeghian Dehkord, Ehsan ;  Université de Liège - ULiège > GIGA
Van hede, Dorien ;  Université de Liège - ULiège > Département des sciences dentaires > Biomatériaux dentaires
Barzegari, Mojtaba
Verlee, Bruno ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Metallic materials for additive manufacturing
Pirson, Justine
Nolens, Gregory ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Génie biomécanique
Lambert, France ;  Université de Liège - ULiège > Département des sciences dentaires > Chirurgie bucco-dentaire et parodontologie
Geris, Liesbet  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Génie biomécanique
Language :
English
Title :
Model-Based Design to Enhance Neotissue Formation in Additively Manufactured Calcium-Phosphate-Based Scaffolds
Publication date :
03 December 2023
Journal title :
Journal of Functional Biomaterials
eISSN :
2079-4983
Publisher :
Multidisciplinary Digital Publishing Institute (MDPI), Switzerland
Volume :
14
Issue :
563
Pages :
22
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
This research was funded by the Walloon Region (SPW Recherche) through the BioWin project BIOPTOS (ID: 7560) and the Win2Wal project B2Bone (2210023), the Fund for Scientific Research Belgium FNRS-FRFC (project ID: T.0256.16), the Interreg VA Flanders—The Netherlands project Prosperos (grant no.: 2014TC16RFCB046), and the European Union’s Horizon 2020 research and innovation program via the European Research Council (ERC CoG INSITE 772418). The APC was funded by the Walloon Region (SPW Recherche) through the Win2Wal project B2Bone (2210023).
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