Evidence map›Paper›PMID 41251875›Full record

ArticleAAPS PharmSciTech2025

HSPiP and Neuro-Fuzzy Model-Enabled Optimized Nanoemulsions for Nose-to-Brain Delivery of Valproic Acid.

Afzal Hussain, Osamah A Alnemer, Mohammad A Altamimi

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Article in AAPS PharmSciTech, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Afzal HussainDepartment of Pharmaceutics, College of Pharmacy, King Saud University, 11451, Riyadh, Saudi Arabia. amohammed2@ksu.edu.sa.ORCID http://orcid.org/0000-0002-6275-5375
Osamah A AlnemerDepartment of Pharmaceutics, College of Pharmacy, King Saud University, 11451, Riyadh, Saudi Arabia.ORCID http://orcid.org/0009-0004-5686-4964
Mohammad A AltamimiDepartment of Pharmaceutics, College of Pharmacy, King Saud University, 11451, Riyadh, Saudi Arabia.ORCID http://orcid.org/0000-0003-4877-864X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present work is the extended findings of our previous study on valproic acid (VA)-loaded cationic nanoemulsions for HSPiP and Neuro-fuzzy model (ANFIS)-enabled optimized composition to attain targeted permeation flux, the influence of permeation enhancers, and characterizations of the optimized product. The binding efficiency of the formulations with nasal mucus was assessed. The pH dependent in-vitro drug release (dialysis membrane) study, ex-vivo permeation assessment using a goat nasal mucosa, and benchtop physically stable at room temperature, were investigated. The fluorescence microscopy (FM) study compared the penetration potential across the nasal mucosa. The cationic nanoemulsions exhibited low particle size range (29-373 nm), narrow distribution (0.12-0.37), and high zeta potential (22-35.7 mV). HSPiP-generated permeation flux (Y

Indexed as

BrainNanoparticlesValproic AcidAdministration, IntranasalAnimalsChemistry, PharmaceuticalDrug Delivery SystemsDrug LiberationEmulsionsGoatsHydrogen-Ion ConcentrationNasal MucosaParticle SizePermeabilityEmulsionsValproic Acidex-vivo studyFM studyHSPiP and neuro-fuzzy modellingVA-loaded cationic nanoemulsion

Identifiers

What Socratic holds

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Registered trials

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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 Socratic graph.