Literature DB >> 22326705

Skin-PAMPA: a new method for fast prediction of skin penetration.

Bálint Sinkó1, Teresa M Garrigues, György T Balogh, Zsombor K Nagy, Oksana Tsinman, Alex Avdeef, Krisztina Takács-Novák.   

Abstract

The goal of this study was to develop a quick, reliable, and cost-effective permeability model for predicting transdermal penetration of compounds. The Parallel Artificial Membrane Permeability Assay (PAMPA) was chosen for this purpose, as it already has been successfully used for estimating passive gastrointestinal absorption and blood-brain barrier permeability. To match the permeability of the rate-limiting barrier in human skin, synthetic certramides, which are analogs of the ceramides present in the stratum corneum, were selected for the skin-PAMPA model. The final skin-PAMPA membrane lipid mixture (certramide, free fatty acid, and cholesterol) was selected and optimized based on data from three different human skin databases and the final model was found to correlate well to all of the databases. The reproducibility of the skin-PAMPA model was investigated and compared to that of other PAMPA models. The homogeneity of the filter-impregnated lipid mixture membrane was confirmed with Raman microscopy. It was shown that skin-PAMPA is a quick and cost-effective research tool that can serve as a useful model of skin penetration in pharmaceutical and cosmetic research.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22326705     DOI: 10.1016/j.ejps.2012.01.011

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  22 in total

1.  A Microfluidic Diffusion Cell for Fast and Easy Percutaneous Absorption Assays.

Authors:  Christophe Provin; Alexandre Nicolas; Sébastien Grégoire; Teruo Fujii
Journal:  Pharm Res       Date:  2015-02-28       Impact factor: 4.200

2.  Predicting skin permeability using the 3D-RISM-KH theory based solvation energy descriptors for a diverse class of compounds.

Authors:  Vijaya Kumar Hinge; Dipankar Roy; Andriy Kovalenko
Journal:  J Comput Aided Mol Des       Date:  2019-05-13       Impact factor: 3.686

Review 3.  Human skin models: From healthy to disease-mimetic systems; characteristics and applications.

Authors:  Tânia Moniz; Sofia A Costa Lima; Salette Reis
Journal:  Br J Pharmacol       Date:  2020-08-19       Impact factor: 8.739

4.  Dermal Delivery of Lipid Nanoparticles: Effects on Skin and Assessment of Absorption and Safety.

Authors:  Fátima Pinto; Luis P Fonseca; Dragana P C de Barros
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

5.  Transdermal Delivery of Metformin Utilizing Ionic Liquid Technology: Insight Into the Relationship Between Counterion Structures and Properties.

Authors:  Minghuang Hong; Qinglin Wang; Kai Wang; Jinghui Li; Ming-Hui Qi; Guo-Bin Ren
Journal:  Pharm Res       Date:  2022-09-28       Impact factor: 4.580

Review 6.  In vitro cerebrovascular modeling in the 21st century: current and prospective technologies.

Authors:  Christopher A Palmiotti; Shikha Prasad; Pooja Naik; Kaisar M D Abul; Ravi K Sajja; Anilkumar H Achyuta; Luca Cucullo
Journal:  Pharm Res       Date:  2014-08-07       Impact factor: 4.200

7.  Significance of lipid composition in a blood-brain barrier-mimetic PAMPA assay.

Authors:  Scott D Campbell; Karen J Regina; Evan D Kharasch
Journal:  J Biomol Screen       Date:  2013-08-14

8.  Development and Validation of an Ultra Performance Liquid Chromatography Method for the Determination of Dexketoprofen Trometamol, Salicylic Acid and Diclofenac Sodium.

Authors:  Sibel Ilbasmiş Tamer
Journal:  Turk J Pharm Sci       Date:  2017-04-15

9.  A new PAMPA model proposed on the basis of a synthetic phospholipid membrane.

Authors:  Hui Yu; Qi Wang; Ying Sun; Ming Shen; He Li; Yourong Duan
Journal:  PLoS One       Date:  2015-02-03       Impact factor: 3.240

10.  Lipid-based nano-delivery systems for skin delivery of drugs and bioactives.

Authors:  Susan Hua
Journal:  Front Pharmacol       Date:  2015-09-30       Impact factor: 5.810

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.