Parallel Artificial Membrane Permeability Assay (PAMPA) - Is it Better than Caco-2 for Human Passive Permeability Prediction?

Title: Parallel Artificial Membrane Permeability Assay (PAMPA) - Is it Better than Caco-2 for Human Passive Permeability Prediction?

Volume: 10 Issue: 11

Author(s): J. M. Reis, B. Sinko and C. H.R. Serra

Affiliation:

Keywords: PAMPA, UWL, lipid composition, artificial membrane, BCS, Caco-2, Biopharmaceutical Classification System (BCS), Phosphatidylcholine (PC), Artificial membrane, BCS, Blood transport simulation, Unstirred water layer, Real Limit factor, E 80-cholesterol, Amiloride, Uunstirred layers

Abstract: This review proposes a statistical and qualitative comparison between the main techniques derived from the original PAMPA method and experimental results obtained from Caco-2 and human jejunum. Among them, PAMPA techniques variations developed by some of the most renowned authors on the subject. The comparison is made from 16 common structurally diverse molecules, taking into account mainly membrane lipid composition and incubation conditions. A BCS classification prediction of the studied molecules was also possible to make. Finally, it was possible to raise and prove important previous hypotheses, aside from pointing out the best PAMPA model to predict human data.

Cite this article as:

M. Reis J., Sinko B. and H.R. Serra C., Parallel Artificial Membrane Permeability Assay (PAMPA) - Is it Better than Caco-2 for Human Passive Permeability Prediction?, Mini-Reviews in Medicinal Chemistry 2010; 10 (11) . https://dx.doi.org/10.2174/1389557511009011071