Page 278 - IJB-9-5
P. 278

International Journal of Bioprinting                      3D-printed scaffolds for TMJ fibrocartilage regeneration
































                   Figure 6. The vicious cycle of TMJ translational research. (from ref.  licensed under Creative Commons Attribution 4.0 license).
                                                              [95]
            TMJ tissue engineering, resulting in a vicious cycle of TMJ   Conev et al.  predicted the quality of 3D-printed products
                                                                        [98]
            translational research (Figure 6). Considering knee tissue   from  the material composition  and printing parameters
            engineering as an important reference, several approaches   using an ML model. Similar work was done by Ruberu
            and suggestions have been raised to promote TMJ tissue   et al. , who adopted ML to create the optimal printing
                                                                   [99]
            engineering, such as increasing the amount of rigorous   parameters protocol, including ink composition, ink
            TMJ research, strengthening surgical training opportunities   reservoir temperature, driving pressure, needle speed, and
            and research grants for TMJ physicians and researchers,   platform temperature. Furthermore, the effect of nozzle
            holding large-scale interdisciplinary conferences on TMJ,   geometry, printing pressure, and material properties on
            establishing clear indications and industry guidance for TMJ   cell viability was analyzed by Reina-Romo et al. [100]  using
            tissue-engineered products, and so on . On the other hand,   an ML approach named Gaussian Process. ML shows great
                                         [95]
            the anatomical structures, functions, and biomechanical   potential as a novel approach to improve the biological
            properties of the TMJ disc, meniscus, and intervertebral   properties of 3D-printed scaffolds.
            disc have been compared in a recent review, suggesting that   Although BFs play an important role in TMJ fibrocartilage
            their similarities may guide the imitation and improvement   regeneration, they are rarely used, mainly due to the
            of TMJ tissue-engineered products in seed cells, scaffold   lack of an effective approach to realize spatiotemporally
            materials, and BFs . In general, there is an urgent need for   controlled release of BFs. As mentioned in the previous
                          [96]
            increased interdisciplinary collaboration, societal support,   studies, microspheres loading BFs have been demonstrated
            and financial investment in TMJ tissue engineering.
                                                               to possess the ability to realize spatially-controlled delivery
                                                               of BFs with a prolonged release [71,75] . However, the release
            6.3. Emerging tissue-engineering strategies        of BFs from microspheres remains passive and unable to
            3D printing technology has provided new impetus for the   interact with the local biological microenvironment [71,75] .
            development of TMJ fibrocartilage tissue engineering, but   Stimuli-responsive  delivery  systems  for  growth  factors
            satisfactory results have rarely been achieved so far. Several   may be the solution to the developmental asynchrony of
            tissue-engineering strategies are considered potential   different components of the heterogeneous TMJ tissues in
            approaches to improve the performance of 3D-printed TMJ   the regeneration process. The release of stimuli-responsive
            scaffolds and are therefore briefly presented below (Figure 7).
                                                               delivery systems can be triggered by, for example, a specific
               To better regulate the complex effects of printing   pH, biomolecule recognition, and external stimuli, such as
            parameters on the quality of 3D-printed products, machine   temperature, ultrasound, magnetic, voltage, and light [101,102] .
            learning (ML) has been introduced to the biomaterials   For example, the release of BMP-7 and BMP-2 at different
            field as a promising approach to quantitatively assess   times and sequences using light-triggered delivery systems
            printability and optimize printing parameters . Recently,   is regulated by different wavelengths of light [103] .
                                                [97]
            Volume 9 Issue 5 (2023)                        270                         https://doi.org/10.18063/ijb.761
   273   274   275   276   277   278   279   280   281   282   283