journal article·2022-03

Modified graphene oxide nanoplates reinforced 3D printed multifunctional scaffold for bone tissue engineering

Akriti Sharma, Santosh Gupta, T.S. Sampathkumar, Rama S. Verma

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Abstract

Successful regeneration of load-bearing bone defects remains a major challenge in clinical orthopaedics. Designing biologically active 3-dimensional scaffolds possessing physiological responsiveness can potentially overcome current limitations. Here, we have described a novel approach to fabricate scaffolds with modified nanosheets reinforced on mechanically customized thermoplastic polymer-based 3D printed constructs. In this article, we have developed polydopamine-reduced graphene oxide (PD-RGO) reinforced 3D printed PLA scaffold for bone tissue construction. RGO was synthesized by reduction of GO under alkaline conditions using dopamine. 3D printed polylactic acid (PLA) scaffold with defined porosity was doped with PD-RGO. The designed scaffold was studied for its physiochemical properties and human umbilical cord-derived mesenchymal stem cell (hMSC) behaviour within the scaffold. In vitro hMSC studies revealed the influence of fibre direction and nanocoating on directional cell growth and proliferation. The fabricated scaffold showed antioxidant property along with pro-angiogenic and osteoinductive potential. The designed scaffold also successfully prevented the formation of biofilm. In vivo heterotopic implantation of the differentiated hMSC loaded scaffold confirmed the biocompatibility and bio functionality of the scaffold. In summary, the designed nanoplates doped 3D printed scaffold displays stem cell responsive, integrative and pro-regenerative multi functionalities, thereby, exhibiting potential application as bone tissue regeneration treatment alternative.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Graphene and Nanomaterials Applications · Bone Tissue Engineering Materials · Polymer Surface Interaction Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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