Literature DB >> 11785701

Multilamellar liposomes and solid-supported lipid membranes (TRANSIL): screening of lipid-water partitioning toward a high-throughput scale.

A Loidl-Stahlhofen1, T Hartmann, M Schöttner, C Röhring, H Brodowsky, J Schmitt, J Keldenich.   

Abstract

PURPOSE: Lipid-water partitioning of 187 pharmaceuticals has been assessed with solid-supported lipid membranes (TRANSIL) in microwell plates and with multilamellar liposomes for a data comparison. The high-throughput potential of the new approach was evaluated.
METHODS: Drugs were incubated at pH 7.4 with egg yolk lecithin membranes either on a solid support (TRANSIL beads) or in the form of multilamellar liposomes. Phase separation of lipid and water phase was achieved by ultracentrifugation in case of liposomes or by a short filtration step in case of solid-supported lipid membranes.
RESULTS: Lipid-water partitioning data of both approaches correlate well without systematic deviations in the investigated lipophilicity range. The solid-supported lipid membrane approach provides high-precision data in an automated microwell-plate setup. The lipid composition of the solid-supported lipid membranes was varied to study the influence of membrane change on lipid-water partitioning. In addition, pH-dependent measurements have been performed with minimal experimental effort.
CONCLUSIONS: Solid-supported lipid membranes represent a valuable tool to determine physiologically relevant lipid-water partitioning data of pharmaceuticals in an automated setup and is well suited for high-throughput data generation in lead optimization programs.

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Year:  2001        PMID: 11785701     DOI: 10.1023/a:1013343117979

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  20 in total

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Authors:  A Loidl-Stahlhofen; A Eckert; T Hartmann; M Schöttner
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Journal:  J Pharm Sci       Date:  1995-10       Impact factor: 3.534

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Journal:  Pharm Res       Date:  1998-02       Impact factor: 4.200

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8.  Applied Concepts in PBPK Modeling: How to Build a PBPK/PD Model.

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