Formulation and characterization of polymeric nanoparticle of Rivastigmine for effective management of Alzheimer’s disease Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1016/j.jsps.2024.102048
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 < 0.01) reduced brain cholinesterase activity when compared to scopolamine-treated animals. According to the above results, it can be concluded that RIV-loaded PLGA NPs are ideal carriers for delivering the drug at a specific target site in the brain, thus may treat Alzheimer's disease efficiently and improve patient compliance.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jsps.2024.102048
- OA Status
- hybrid
- Cited By
- 12
- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4393335629Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.jsps.2024.102048Digital Object Identifier
- Title
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Formulation and characterization of polymeric nanoparticle of Rivastigmine for effective management of Alzheimer’s diseaseWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2024Year of publication
- Publication date
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2024-03-23Full publication date if available
- Authors
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Faisal Imam, Sayantan Mukhopadhyay, Preeti Kothiyal, Samiyah Alshehri, Khalid Saad Alharbi, Muhammad Afzal, Muzaffar Iqbal, Mohammad Rashid Khan, Md. Khalid Anwer, Abdulrazaq Alanazi, Ali Ghanem Alqahtani, Mohammed A. Al‐HamamahList of authors in order
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https://doi.org/10.1016/j.jsps.2024.102048Publisher landing page
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.jsps.2024.102048Direct OA link when available
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PLGA, Rivastigmine, Donepezil, Zeta potential, In vivo, Nanoparticle, Polyvinyl alcohol, Alzheimer's disease, Materials science, Pharmacology, Dementia, Chemistry, Medicine, Nanotechnology, Disease, Internal medicine, Composite material, Biology, BiotechnologyTop concepts (fields/topics) attached by OpenAlex
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12Total citation count in OpenAlex
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2025: 7, 2024: 5Per-year citation counts (last 5 years)
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49Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.cholinesterase | 170, 186 |
| abstract_inverted_index.non-aggregated | 119 |
| abstract_inverted_index.pharmacological | 142 |
| abstract_inverted_index.nano-precipitation | 65 |
| abstract_inverted_index.polydispersibility | 78 |
| abstract_inverted_index.scopolamine-treated | 191 |
| abstract_inverted_index.poly(lactic-co-glycolic | 35 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| corresponding_author_ids | https://openalex.org/A5027632111 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I28022161 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6899999976158142 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.96379705 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |