Literature DB >> 33549812

Development of mAb-loaded 3D-printed (FDM) implantable devices based on PLGA.

E Carlier1, S Marquette2, C Peerboom2, K Amighi3, J Goole3.   

Abstract

The main objective of this work was to explore the feasibility to print monoclonal antibody (mAb)-loaded implantable systems using fused-deposition modelling (FDM) to build complex dosage form designs. Indeed, to our knowledge, this work is the first investigation of mAb-loaded devices using FDM. To make this possible, different steps were developed and optimized. A mAb solution was stabilized using trehalose (TRE), sucrose (SUC), hydroxypropyl-β-cyclodextrin (HP-β-CD), sorbitol or inulin (INU) in order to be spray dried (SD). Printable filaments were then made of poly(lactide-co-glycolide) (PLGA) and mAb powder (15% w/w) using hot melt extrusion (HME). The FDM process was optimized to print these filaments without altering the mAb stability. TRE was selected and associated to L-leucine (LEU) to increase the mAb stability. The stability was then evaluated considering high and low molecular weight species levels. The mAb-based devices were well-stabilized with the selected excipients during both the HME and the FDM processes. The 3D-printed devices showed sustained-release profiles with a low burst effect. The mAb-binding capacity was preserved up to 70% following the whole fabrication process. These promising results demonstrate that FDM could be used to produce mAb-loaded devices with good stability, affinity and sustained-release profiles of the mAb.
Copyright © 2021. Published by Elsevier B.V.

Entities:  

Keywords:  3D printing; Fused deposition modelling; Implantable systems; Monoclonal antibody

Mesh:

Substances:

Year:  2021        PMID: 33549812     DOI: 10.1016/j.ijpharm.2021.120337

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  3 in total

1.  Accelerating 3D printing of pharmaceutical products using machine learning.

Authors:  Jun Jie Ong; Brais Muñiz Castro; Simon Gaisford; Pedro Cabalar; Abdul W Basit; Gilberto Pérez; Alvaro Goyanes
Journal:  Int J Pharm X       Date:  2022-06-09

Review 2.  Additive manufacturing against the Covid-19 pandemic: a technological model for the adaptability and networking.

Authors:  Henry A Colorado; David E Mendoza; Hua-Tay Lin; Elkin Gutierrez-Velasquez
Journal:  J Mater Res Technol       Date:  2021-12-20       Impact factor: 6.267

Review 3.  Application of 3D-Printed, PLGA-Based Scaffolds in Bone Tissue Engineering.

Authors:  Fengbo Sun; Xiaodan Sun; Hetong Wang; Chunxu Li; Yu Zhao; Jingjing Tian; Yuanhua Lin
Journal:  Int J Mol Sci       Date:  2022-05-23       Impact factor: 6.208

  3 in total

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