ArticlePharmaceutics2021
Development and Validation of an HPLC-MS/MS Method for Pioglitazone from Nanocarriers Quantitation in Ex Vivo and In Vivo Ocular Tissues.
Article in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- A Comparison of Cost-Effective Sensors for a Fluorescence-Based Detection System Used in Biodiagnostic Devices.Biosensors · 2026Article
- Article
- Assessing the Solubility of Baricitinib and Drug Uptake in Different Tissues Using Absorption and Fluorescence Spectroscopies.Pharmaceutics · 2022Article
- Assessment of Efficacy and Safety Using PPAR-γ Agonist-Loaded Nanocarriers for Inflammatory Eye Diseases.International journal of molecular sciences · 2022Article
- Stabilization by Nano Spray Dryer of Pioglitazone Polymeric Nanosystems: Development, In Vivo, Ex Vivo and Synchrotron Analysis.Pharmaceutics · 2021Article
- Development of an Improved Method for the Determination of Iodine/β-Cyclodextrin by Means of HPLC-UV: Validation and the Thyroid-Stimulating Activity Revealed by In Vivo Studies.Pharmaceutics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pioglitazone (PGZ) is an oral anti-hyperglycemic agent, belongs to the class of thiazolidinediones, and is used for the treatment of diabetes mellitus type 2. In recent years, its anti-inflammatory activity has also been demonstrated in the literature for different diseases, including ocular inflammatory processes. Additionally, this drug belongs to Class II of the Biopharmaceutical Classification System, i.e., slightly soluble and highly permeable. The main objective of this study was to validate a new analytical HPLC-MS/MS method to quantify free-PGZ and PGZ from polymeric NPs to conduct nanoparticle application studies loaded with this active ingredient to transport it within ocular tissues. An accurate, sensitive, selective, reproducible and high throughput HPLC-MS/MS method was validated to quantify PGZ in cornea, sclera, lens, aqueous humor, and vitreous humor. The chromatographic separation was achieved in 10 min on a Kinetex C18 column. Linear response of PGZ was observed over the range of 5-100 ng/mL. The recovery of free-PGZ or PGZ from NPs was in the range of 85-110% in all tissues and levels tested. The intra-day and inter-day precision were <5% and <10%, respectively. The extracts were shown to be stable in various experimental conditions in all matrices studied. The range of concentrations covered by this validation is 80-1600 µg/kg of PGZ in ocular tissues. It is concluded that this method can be applied to quantify PGZ for in vivo and ex vivo biodistribution studies related to the ocular administration of free-PGZ and PGZ from nanoparticles.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.