Evidence map›Paper›PMID 38243985›Full record

ArticleRecent advances in anti-infective drug discovery2024

Formulation and Optimization of Solid Lipid Nanoparticle-based Gel for Dermal Delivery of Linezolid using Taguchi Design.

Iti Chauhan, Lubhan Singh

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Article in Recent advances in anti-infective drug discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Iti ChauhanDepartment of Pharmacy, Kharvel Subharti College of Pharmacy, Swami Vivekanand Subharti University, Meerut, India.ORCID 0000-0002-4440-9903
Lubhan SinghDepartment, of Pharmacology, Kharvel Subharti College of Pharmacy, Swami Vivekanand Subharti University, Meerut, India.ORCID 0000-0001-6402-6195
Swami Vivekanand Subharti University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLinezolid (LNZ) is a synthetic oxazolidinone antibiotic approved for the treatment of uncomplicated and complicated skin and soft tissue infections caused by gram-positive bacteria. Typically, LNZ is administered orally or intravenously in most cases. However, prolonged therapy is associated with various side effects and lifethreatening complications. Cutaneous application of LNZ will assist in reducing the dose, hence minimizing the unwanted side/adverse effects associated with oral administration. Dermal delivery provides an alternative route of administration, facilitating a local and sustained concentration of the antimicrobial at the site of infection.

objectiveThe current research work aimed to formulate solid lipid nanoparticles (SLNs) based gel for dermal delivery of LNZ in the management of uncomplicated skin and soft tissue infections to maximise its benefits and minimise the side effects.

methodsSLNs were prepared by high-shear homogenisation and ultrasound method using Dynasan 114 as solid lipid and Pluronic F-68 as surfactant. The effect of surfactant concentration, drug-to-lipid ratio, and sonication time was investigated on particle size, zeta potential, and entrapment efficiency using the Taguchi design. The main effect plot of means and signal-to-noise ratio were generated to determine the optimized formulation. The optimized batch was formulated into a gel, and ex vivo permeation study,

resultsThe optimised process parameters to achieve results were 2% surfactant concentration, a drug-to-lipid ratio of 1:2, and 360 s of sonication time. The optimized batch was 206.3± 0.17nm in size with a surface charge of -24.4± 4.67mV and entrapment efficiency of 80.90 ± 0.45%. SLN-based gel demonstrated anomalous transport with an 85.43%

conclusionEx vivo studies ascertain the presence of the drug at the desired site and improve therapy.

Indexed as

Administration, CutaneousAnti-Bacterial AgentsGelsLinezolidLipidsNanoparticlesAnimalsDrug CompoundingLiposomesParticle SizeSkinSkin AbsorptionStaphylococcus aureusAnti-Bacterial AgentsGelsLinezolidLipid NanoparticlesLipidsLiposomesdermal deliverylinezolidskin and soft tissue infectionSolid lipid nanoparticletaguchi designtape-stripped skin infection model.

Identifiers

PMID38243985
OpenAlexW4391068077

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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 OpenQuestion graph.