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Formulation and characterization of polymeric nanoparticle of Rivastigmine for effective management of Alzheimer’s disease

Authors :
Faisal Imam
Sayantan Mukhopadhyay
Preeti Kothiyal
Samiyah Alshehri
Khalid Saad Alharbi
Muhammad Afzal
Muzaffar Iqbal
Mohammad Rashid Khan
Md. Khalid Anwer
Abdulrazaq Ahmed Hattab Alanazi
Ali Ghanem Alqahtani
Mohammed Abdullah Alhamamah
Source :
Saudi Pharmaceutical Journal, Vol 32, Iss 5, Pp 102048- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Memory loss or dementia is a progressive disorder, and one of its common forms is Alzheimer’s disease (AD), effecting mostly middle aged and older adults. In the present study, we developed Rivastigmine (RIV) nanoparticles using poly(lactic-co-glycolic acid) (RIV-loaded PLGA NPs) and polyvinyl alcohol (PVA). The prepared RIV-PLGA nanoparticles was evaluated for the management of Alzheimer's disease (AD). The nanoparticles were prepared by the slightly modified nano-precipitation technique. The developed formulations were evaluated for particle size, zeta potential (ZP), polydispersibility index (PDI) and surface morphology and drug content. The experimental result revealed that prepared RIV-loaded PLGA NPs (F1) was optimized having particle size (61.2 ± 4.6 nm), PDI (0.292), ZP (−11.2 ± 1.2). SEM study confirms the prepared nanoparticles depicted non-aggregated as well smooth surface particles without any fracture. This formulation (F1) was further assessed for in vivo studies on animal model. A pharmacological screening on an animal model of Alzheimer's disease revealed that RIV-loaded PLGA NPs formulations treat CNS disorders like Alzheimer's effectively. In addition to that, an in-vivo brain cholinesterase estimation study found that, animals treated with optimized formulation significantly (p

Details

Language :
English
ISSN :
13190164
Volume :
32
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Saudi Pharmaceutical Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.2d9694334234b878a82eeab4bfe2bcb
Document Type :
article
Full Text :
https://doi.org/10.1016/j.jsps.2024.102048