Development of a novel thermogelling PEC-based ECM mimicking nanocomposite bioink for bone tissue engineering.
Tanmay BharadwajShreya ChrungooDevendra VermaPublished in: Journal of biomaterials science. Polymer edition (2023)
Non-union of large bone defects has been an existing clinical problem. 3D extrusion-based bioprinting provides an efficient approach to tackle such problems. This approach enables the use of various biomaterials, cell types, and growth factors in developing a superior bone graft that is specific to the defect. In this paper, we have designed and printed an ECM mimicking, self-assembled polyelectrolyte complex (PEC) based fibrous bioink using natural polymers like chitosan-polygalacturonic acid (PGA) and other biomaterials - gelatin, laponite and nanohydroxyapatite with a modified 3D printer. The developed bioink possesses a thermo-reversible sol-gel transition at physiological pH and temperature. Here, we demonstrated that post-printing, our fiber-reinforced bioink had significant cell proliferation with cell viability of >80% and negligible cell morbidity. The practicability of developing this self-assembled PEC-based bioink was assessed. Bioink with 4% gelatin (PECHLG4) had optimal printability with a minimal swelling ratio of approximately 3%. The printed scaffold had integrity for a period of 8 days under 0.5mg/mL lysozyme concentration. We also evaluated the mechanical property of the bioink using compression analysis which gave an elastic modulus of 16 KPa. This combination of natural polymers and nanocomposite, along with a fibrous network of PECs, is itself a novel approach for 3D bioprinting and can be a preliminary proposition for the treatment of large bone defects.
Keyphrases
- tissue engineering
- bone regeneration
- bone mineral density
- cell proliferation
- soft tissue
- single cell
- bone loss
- cell therapy
- mental health
- drug delivery
- postmenopausal women
- quantum dots
- reduced graphene oxide
- body composition
- stem cells
- extracellular matrix
- gold nanoparticles
- combination therapy
- data analysis
- carbon nanotubes