Manufacturing and characterisation of 3D-printed sustained-release Timolol implants for glaucoma treatment

Fathima Paleel, Mengqi Qin, ARISTIDES TAGALAKIS, Cynthia Yu-Wai-Man, Dimitrios Lamprou

Research output: Contribution to journalArticle (journal)peer-review

1 Citation (Scopus)
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Abstract

Timolol maleate (TML) is a beta-blocker drug that is commonly used to lower the intraocular pressure in glaucoma. This study focused on using a 3D printing (3DP) method for the manufacturing of an ocular, implantable, sustained-release drug delivery system (DDS). Polycaprolactone (PCL), and PCL with 5 or 10% TML implants were manufactured using a one-step 3DP process. Their physicochemical characteristics were analysed using light microscopy, scanning electronic microscopy (SEM), differential scanning calorimetry (DSC) / thermal gravimetric analysis (TGA), and Fourier-transform infrared spectroscopy (FTIR). The in vitro drug release was evaluated by UV-spectrophotometry. Finally, the effect of the implants on cell viability in human trabecular meshwork cells was assessed. All the implants showed a smooth surface. Thermal analysis demonstrated that the implants remained thermally stable at the temperatures used for the printing, and FTIR studies showed that there were no significant interactions between PCL and TML. Both concentrations (5 & 10%) of TML achieved sustained release from the implants over the 8-week study period. All implants were non-cytotoxic to human trabecular cells. This study shows proof of concept that 3DP can be used to print biocompatible and personalised ocular implantable sustained-release DDSs for the treatment of glaucoma.
Original languageEnglish
Pages (from-to)1-11
JournalDrug Delivery and Translational Research
Early online date5 Apr 2024
DOIs
Publication statusPublished - 5 Apr 2024

Keywords

  • Glaucoma
  • Timolol
  • 3D printing
  • Drug-eluting implants
  • Sustained-release

Research Institutes

  • Health Research Institute

Research Centres

  • Data Science STEM Research Centre
  • Cardio-Respiratory Research Centre
  • Centre for Intelligent Visual Computing Research

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