Evidence map›Paper›PMID 39859204›Full record

ArticleInternational journal of molecular sciences2025

Optimization and Validation of an Ultra-Performance Liquid Chromatography with Quadrupole Detector Mass Spectrometry Quantification Method for the Simultaneous Detection of Tazarotene and Tazarotenic Acid in Porcine Skin: An In Vitro Study.

Helena Hamzehpour, Kristófer H Hauksson, Helgi Jónsson, Sveinbjorn Gizurarson, Bergthora S Snorradottir

Abstract readValidation Study
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

5 authors.

Helena HamzehpourFaculty of Pharmaceutical Sciences, University of Iceland, 107 Reykjavik, Iceland.ORCID 0009-0000-5879-8279
Kristófer H HaukssonFaculty of Pharmaceutical Sciences, University of Iceland, 107 Reykjavik, Iceland.
Helgi JónssonFaculty of Medicine, University of Iceland, 107 Reykjavik, Iceland.
Sveinbjorn GizurarsonFaculty of Pharmaceutical Sciences, University of Iceland, 107 Reykjavik, Iceland.ORCID 0000-0001-7824-9752
Bergthora S SnorradottirFaculty of Pharmaceutical Sciences, University of Iceland, 107 Reykjavik, Iceland.ORCID 0000-0002-8470-0463

Funding

Technology Development Fund 2215525-0611
6 · The paper itself

Abstract

Exploring tazarotene, a third-generation retinoid for potential hand osteoarthritis treatment, this study presents the development and validation of an ultra-performance liquid chromatography with quadrupole detector mass spectrometry (UPLC-QDa) method for the simultaneous quantification of tazarotene and tazarotenic acid, its active metabolite, in porcine skin. Method development involved a design-of-experiments approach for chromatographic optimization of gradient steepness, organic solvent volume, column temperature, capillary voltage, flow rate, and cone voltage. Central composite orthogonal design was used to optimize peak area, peak width, retention time, and resolution. Validation was performed in accordance with U.S. Food and Drug Administration guidelines. The method was linear over the concentration range of 0.4-18,750 ng/mL for tazarotene and 13.3-12,500 ng/mL for tazarotenic acid, with r

Indexed as

Mass SpectrometryNicotinic AcidsSkinAnimalsChromatography, High Pressure LiquidReproducibility of ResultsRetinoidsSwineNicotinic AcidsRetinoidstazarotenebioanalytical techniquesdesign of experiments (DoE)hand osteoarthritisquadrupole detector mass spectrometry (QDa)tazarotenetazarotenic acidtransdermal

Identifiers

PMID39859204
PMCPMC11764504

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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.