Document type

Article

Version

Accepted version

Publication date

All rights reserved

Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/138262

Memantine loaded PEGylated biodegradable nanoparticles for the treatment of glaucoma

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

Glaucoma is a multifactorial neurodegenerative disease associated with retinal ganglion cells (RGC) loss. Increasing reports of similarities in glaucoma and other neurodegenerative conditions have led to speculation that therapies for brain neurodegenerative disorders may also have potential as glaucoma therapies. Memantine is an N-methyl-d-aspartate (NMDA) antagonist approved for Alzheimer's disease treatment. Glutamate-induced excitotoxicity is implicated in glaucoma and NMDA receptor antagonism is advocated as a potential strategy for RGC preservation. This study describes the development of a topical formulation of memantine-loaded PLGA-PEG nanoparticles (MEM-NP) and investigates the efficacy of this formulation using a well-established glaucoma model. MEM-NPs <200 nm in diameter and incorporating 4 mg mL−1 of memantine were prepared with 0.35 mg mL−1 localized to the aqueous interior. In vitro assessment indicated sustained release from MEM-NPs and ex vivo ocular permeation studies demonstrated enhanced delivery. MEM-NPs were additionally found to be well tolerated in vitro (human retinoblastoma cells) and in vivo (Draize test). Finally, when applied topically in a rodent model of ocular hypertension for three weeks, MEM-NP eye drops were found to significantly (p < 0.0001) reduce RGC loss. These results suggest that topical MEM-NP is safe, well tolerated, and, most promisingly, neuroprotective in an experimental glaucoma model.

Citation

Citation

SÁNCHEZ-LÓPEZ, E. (Elena), et al. Memantine loaded PEGylated biodegradable nanoparticles for the treatment of glaucoma. Small. 2018. Vol. 14, num. 2, pags. 1701808. ISSN 1613-6810. [consulted: 7 of June of 2026]. Available at: https://hdl.handle.net/2445/138262

Export metadata

JSON - METS

Share record