Evidence map›Paper›PMID 33050611›Full record

ArticlePharmaceutics2020

Multivariate Analytical Approaches to Identify Key Molecular Properties of Vehicles, Permeants and Membranes That Affect Permeation through Membranes.

Omaima N Najib, Stewart B Kirton, Gary P Martin, Michelle J Botha, Al-Sayed Sallam, Darragh Murnane

Abstract read
In one paragraph

Article in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

6 authors.

Omaima N NajibInstitute of Pharmaceutical Science, Franklin Wilkin's Building, King's College London, 150 Stamford Street, London SE1 9NH, UK.
Stewart B KirtonDepartment of Clinical, Pharmaceutical Science and Biological Sciences, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK.
Gary P MartinInstitute of Pharmaceutical Science, Franklin Wilkin's Building, King's College London, 150 Stamford Street, London SE1 9NH, UK.
Michelle J BothaDepartment of Clinical, Pharmaceutical Science and Biological Sciences, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK.
Al-Sayed SallamAl-Taqaddom Pharmaceutical Industries, Co. 29-Queen Alia Street, Amman 11947, Jordan.
Darragh MurnaneDepartment of Clinical, Pharmaceutical Science and Biological Sciences, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK.ORCID 0000-0002-4364-7491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been considerable recent interest in employing computer models to investigate the relationship between the structure of a molecule and its dermal penetration. Molecular permeation across the epidermis has previously been demonstrated to be determined by a number of physicochemical properties, for example, the lipophilicity, molecular weight and hydrogen bonding ability of the permeant. However little attention has been paid to modeling the combined effects of permeant properties in tandem with the properties of vehicles used to deliver those permeants or to whether data obtained using synthetic membranes can be correlated with those obtained using human epidermis. This work uses Principal Components Analysis (PCA) to demonstrate that, for studies of the diffusion of three model permeants (caffeine, methyl paraben and butyl paraben) through synthetic membranes, it is the properties of the oily vehicle in which they are applied that dominated the rates of permeation and flux. Simple robust and predictive descriptor-based quantitative structure-permeability relationship (QSPR) models have been developed to support these findings by utilizing physicochemical descriptors of the oily vehicles to quantify the differences in flux and permeation of the model compounds. Interestingly, PCA showed that, for the flux of co-applied model permeants through human epidermis, the permeation of the model permeants was better described by a balance between the physicochemical properties of the vehicle and the permeant rather than being dominated solely by the vehicle properties as in the case of synthetic model membranes. The important influence of permeant solubility in the vehicle along with the solvent uptake on overall permeant diffusion into the membrane was substantiated. These results confirm that care must be taken in interpreting permeation data when synthetic membranes are employed as surrogates for human epidermis; they also demonstrate the importance of considering not only the permeant properties but also those of both vehicle and membrane when arriving at any conclusions relating to permeation data.

Indexed as

enhancer of drug penetrationmembrane interactionoily vehiclePCApermeabilityQSPR

Identifiers

PMID33050611
PMCPMC7599860

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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.