Evidence map›Paper›PMID 36034142›Full record

ArticleFrontiers in aging neuroscience2022

QbD-based rivastigmine tartrate-loaded solid lipid nanoparticles for enhanced intranasal delivery to the brain for Alzheimer's therapeutics.

Deepshi Arora, Shailendra Bhatt, Manish Kumar, Ravinder Verma, Yugam Taneja, Nikita Kaushal, Abhishek Tiwari, Varsha Tiwari, Athanasios Alexiou, Sarah Albogami and 5 more

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 4 countries.

Deepshi AroraM.M. College of Pharmacy, Maharishi Markandeshwar (Deemed to be University), Ambala, Haryana, India.
Shailendra BhattDepartment of Pharmacy, G.D. Goenka University, Gurugram, Haryana, India.
Manish KumarM.M. College of Pharmacy, Maharishi Markandeshwar (Deemed to be University), Ambala, Haryana, India.
Ravinder VermaDepartment of Pharmacy, G.D. Goenka University, Gurugram, Haryana, India.
Yugam TanejaZeon Lifesciences Pvt. Ltd., Paonta Sahib, Himachal Pradesh, India.
Nikita KaushalM.M. College of Pharmacy, Maharishi Markandeshwar (Deemed to be University), Ambala, Haryana, India.
Abhishek TiwariPharmacy Academy, IFTM University, Moradabad, UP, India.
Varsha TiwariPharmacy Academy, IFTM University, Moradabad, UP, India.
Athanasios AlexiouDepartment of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, NSW, Australia.
Sarah AlbogamiCollege of Science, Taif University, Taif, Saudi Arabia.
Saqer S AlotaibiCollege of Science, Taif University, Taif, Saudi Arabia.
Vineet MittalDepartment of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana, India.
Rajeev K SinglaInstitutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Deepak KaushikDepartment of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana, India.
Gaber El-Saber BatihaFaculty of Veterinary Medicine, Department of Pharmacology and Therapeutics, Damanhour University, Damanhour, Egypt.
Maharishi Markandeshwar University, Mullana · INGD Goenka University · INIFTM University · INMaharshi Dayanand University · INTaif University · SADamanhour University · EGSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disease that affects a wide range of populations and is the primary cause of death in various countries. The treatment of AD is still restricted to oral conventional medicines that act only superficially. Fabrication of intranasal solid lipid nanoparticulate system for the uptake of therapeutic agents will act as a convincing approach with limited off-site toxicity and increased pharmacological activity. The objective of this study was to formulate, optimize, and evaluate the efficiency of rivastigmine tartrate (RT)-loaded intranasal solid lipid nanoparticles (SLNs) employing the solvent-evaporation diffusion method. To optimize the formulation parameters, the central composite design (CCD) was used. Lipid concentration (X1) and surfactant concentration (X2) were considered to be independent variables, while particle size (Y1), percentage entrapment efficiency (Y2), and percentage drug release (Y3) were considered as responses. The solid lipid was glyceryl monostearate, while the surfactant was polysorbate 80. The optimized formulation has a particle size of 110.2 nm, % entrapment efficiency of 82.56%, and % drug release of 94.86%. The incompatibility of drug excipients was established by differential scanning calorimetry (DSC) and Fourier-transform infrared spectroscopy (FTIR). Nasal histopathology tests on sheep mucosa revealed that the developed SLNs were safe to utilize for intranasal delivery with no toxicity.

Indexed as

AlzheimerCCDex vivointranasaloptimizationpharmacokineticsrivastigmine

Identifiers

PMID36034142
PMCPMC9407039
OpenAlexW4293516016

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.