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International Journal of Bioprinting                                dECM bioink for in vitro disease modeling




            cells in the tissue.  Details concerning ECM composition   4. Application of tissue-derived
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            are available in a number of databases, such as the Human   decellularized extracellular matrix to
            Protein Atlas,  PANTHER,  and MatrisomeDB.         disease modeling by 3D bioprinting
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            Analysis of dECM protein composition data available on
            these databases could shed light on the similarity between   Under the current state of technology, fabricating disease
            human-derived ECM and other species-derived ECM, and   models that perfectly mimic the function of an actual
            the physiologic effect of each protein on cell behavior.  human organ and its pathological mechanism is still not
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               The physical properties of the dECM are also important   possible,  posing a major challenge to the fabrication
            for assessing the recapitulation of native tissue properties   of 3D-bioprinted models. Nonetheless, accumulating
            or intended mechanical properties from an engineering   evidence has proved that disease models generated by
            viewpoint. To investigate the mechanical properties of the   3D bioprinting with dECM bioinks can simulate the
            dECM, several methods can be used, such as scanning   microenvironments of organs. The human body consists
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            electron microscopy, rheological analysis, and stress–strain   of eight systems, with each made of various tissues.  In
            analysis. The type of analysis is dictated by the target organ.   this review, we focus on the models that mimic nervous,
            For example, stiff tissues such as bone and cartilage require   cardiovascular, liver, and respiratory tissues, and their
            mechanical analyses, such as tensile and compressive   similarity in biological function to actual organs. Moreover,
            tests.  Rheological analysis of soft tissues, including the   the disease models for these tissues are discussed. Table 4
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            brain, liver, and pancreas, is required to find out the tissue’s   summarizes the in vitro models made with dECM bioinks.
            stiffness, which is a determinant for selecting a suitable
            condition for cellular differentiation. 131-133  In addition, the   4.1. Nervous tissue-derived decellularized
            dECM concentration in the solubilization process affects   extracellular matrix
            the stiffness of the hydrogel. Thus, it is necessary to have a   The  nervous  system  encompasses  both  the  central  and
            complete picture of the physical properties and the stiffness   peripheral nervous systems, which are constituted
            of the target organs before adjustment can be conducted by   by tissues and organs such as brain, spinal cord, and
            controlling the concentration of dECM.             peripheral neural networks.  The nervous system
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            Table 4. Summary of various in vitro models based on dECM bioinks
             Target tissue/  Bioinks             Cell type                        Target disease       Ref.
             organ
             Brain tumor  Porcine brain-derived dECM  Patient-derived glioblastoma  Glioblastoma       141
             Brain        Porcine brain-derived dECM  Human neural stem cells     Traumatic brain injury  253
             Sciatic nerve  Porcine sciatic nerve-derived   No cells encapsulated (host tissue integration)  Peripheral nerve injury  254
                          dECM
             Sciatic Nerve  Rat sciatic nerve-derived dECM  Rat Schwann cells     Peripheral nerve injury    255
                                                                                  (in vitro evaluation)
             Artery       Porcine aortic tissue  Human umbilical vein endothelial cells, human   Atherosclerosis   106
                                                 coronary artery smooth muscle cells, human
                                                 dermal fibroblasts, human monocytes
             Heart/Cardiac   Human omenta        Cardiomyocytes and endothelial cells differen-  Heart regeneration  256
             tissues                             tiated from human-induced pluripotent stem
                                                 cells (iPSCs)
             Liver        Liver-derived dECM-based hybrid  Human hepatocarcinoma cells  Liver epithelial-to-mesenchy-  184
                          bioink                                                  mal transition process
             Liver        Gelatin, liver-derived dECM  Human hepatocytes, human umbilical vein   Liver fibrosis  186
                                                 endothelial cells, human hepatic stellate cells
             Airway       Airway mucosa-derived dECM,   Human dermal microvascular endothelial   Asthma  215
                          Matrigel               cells, human lung fibroblasts, human tracheal
                                                 epithelial cells
             Trachea      Tracheal mucosa-derived dECM,   Bronchial/Tracheal epithelial  Tracheal inflammatory   216
                          vascular-derived dECM  cells, human umbilical vein endothelial cells,   disease
                                                 human eosinophil cells, human monocytes
            Abbreviation: dECM, decellularized extracellular matrix.


            Volume 10 Issue 2 (2024)                       142                                doi: 10.36922/ijb.1970
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