P-glycoprotein deficient mouse in situ blood–brain barrier permeability and its prediction using an in combo PAMPA model
The purpose of the study was to assess the permeability of mouse blood–brain barrier (BBB) to a diverse set of compounds in the absence of P-glycoprotein (Pgp) mediated efflux, to predict it using an in combo PAMPA model, and to explore its role in brain penetration classification (BPC). The initial...
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Published in | European journal of pharmaceutical sciences Vol. 38; no. 2; pp. 121 - 137 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Kindlington
Elsevier B.V
10.09.2009
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | The purpose of the study was to assess the permeability of mouse blood–brain barrier (BBB) to a diverse set of compounds in the absence of P-glycoprotein (Pgp) mediated efflux, to predict it using an
in combo PAMPA model, and to explore its role in brain penetration classification (BPC). The initial brain uptake (
K
in) of 19 compounds in both wild-type and Pgp mutant [mdr1a(−/−)] CF-1 mice was determined by the
in situ brain perfusion technique. PAMPA measurements were performed, and the values were used to develop an
in combo model, including Abraham descriptors. Published rodent
K
in values were used to enhance the dataset and validate the model. The model predicted 92% of the variance of the training set permeability. In all, 182
K
in values were considered in this study, spanning four log orders of magnitude and where Pgp decreased brain uptake by as much as 14-fold. The calculated permeability-surface area (PS) values along with literature reported brain tissue binding were used to group molecules in terms of their brain penetration classification. The
in situ BBB permeability can be predicted by the
in combo PAMPA model to a satisfactory degree, and can be used as a lower-cost, high throughput first-pass screening method for BBB passive permeability. |
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Bibliography: | Current address: Amgen Inc., Neurosciences Dept., Thousand Oaks, CA 91320, USA. |
ISSN: | 0928-0987 1879-0720 |
DOI: | 10.1016/j.ejps.2009.06.009 |