Evidence map›Paper›PMID 41126013›Full record

ArticleAAPS PharmSciTech2025

Enhanced Ocular Delivery of Itraconazole via a Self-Emulsifying Drug Delivery System: Improved Antifungal Activity and Cellular Uptake.

Sukannika Tubtimsri, Yotsanan Weerapol

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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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0citing papers in PubMed
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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

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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

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

2 authors.

Sukannika TubtimsriFaculty of Pharmaceutical Sciences, Burapha University, Chonburi, 20131, Thailand.ORCID http://orcid.org/0000-0001-6732-5895
Yotsanan WeerapolFaculty of Pharmaceutical Sciences, Burapha University, Chonburi, 20131, Thailand. yotsanan@go.buu.ac.th.ORCID http://orcid.org/0000-0001-7568-7802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corneal fungal infections are a leading cause of blindness worldwide; however, poor ocular drug absorption limits current topical antifungal treatments. Itraconazole (ICZ), a potent antifungal agent, exhibits low aqueous solubility and limited permeability. This study aimed to develop self-emulsifying drug delivery systems (SEDDS) to enhance the solubility, permeability, and ocular cell uptake of ICZ, providing a more effective topical therapy. ICZ solubility was evaluated in various vehicles (Tween 80, Tween 60, Span 20, coconut oil, and olive oil). Ten optimized SEDDS formulations were prepared, with particle sizes ranging from 514 to 1,384 nm (tenfold dilution). In vitro drug permeation was assessed using Franz diffusion cells with a parallel artificial membrane permeability assay. Cellular uptake was evaluated in ocular cell lines, and drug diffusion kinetics were analyzed using the Higuchi model. Formulation stability was assessed over a 6-month period. Formulation F1 achieved the highest permeation (96.71% ± 1.99%), followed by F3 (96.33% ± 3.24%) and F2 (80.98% ± 2.85%), whereas ICZ-PEG showed minimal permeation (11.55% ± 2.80%). The Higuchi model indicated diffusion-controlled transport. Cellular uptake was highest for F3, followed by F1 and F2, with approximately 50.3-, 38.6-, and 12.3-fold higher uptake than ICZ-PEG, respectively. All ICZ-SEDDS formulations remained stable for > 6 months. ICZ-SEDDS markedly improved the solubility, permeability, and ocular cell uptake of ICZ compared with ICZ-PEG. The superior performance of formulation F3 highlights the potential of SEDDS as an effective strategy for overcoming limitations in topical antifungal therapy for corneal fungal infections.

Indexed as

Antifungal AgentsDrug Delivery SystemsItraconazoleAdministration, OphthalmicAnimalsCell LineChemistry, PharmaceuticalCorneaEmulsionsHumansParticle SizePermeabilitySolubilityAntifungal AgentsEmulsionsItraconazoleFungal corneal infectionsItraconazoleOcular drug delivery systemSelf-emulsifying drug delivery systems

Identifiers

PMID41126013

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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 OpenQuestion graph.