Orthogonal chromatographic descriptors for modelling Caco-2 drug permeability.

The use of chromatographic descriptors as alternative for Caco-2 permeability in drug absorption screening was evaluated. Therefore, retentions were measured on 17 Reversed-Phase Liquid Chromatographic systems, considered to be orthogonal or dissimilar, and an Immobilized Artificial Membrane (IAM) system. Retentions on a Micellar Liquid Chromatography system were taken from the literature. From this set of systems, those found dissimilar for the used data set were selected. The retention factors on these systems were then used as descriptors in QSAR modelling. Modelling was performed using Stepwise Multiple Linear Regression. This resulted in a model using only two chromatographic systems with good descriptive and acceptable predictive properties. A high qualitative model was obtained by combining both chromatographic systems selected in the previous model with a lipophilicity parameter (the squared Moriguchi n-octanol/water partition coefficient) and the molecular volume.

[1]  R. Kaliszan Quantitative structure-retention relationships applied to reversed-phase high-performance liquid chromatography , 1993 .

[2]  Adam Ibrahim,et al.  Application of hydrogen bonding calculations in property based drug design. , 2002, Drug discovery today.

[3]  Su Young Choi,et al.  Prediction of the permeability of drugs through study on quantitative structure-permeability relationship. , 2006, Journal of pharmaceutical and biomedical analysis.

[4]  R L Nation,et al.  Prediction of drug absorption based on immobilized artificial membrane (IAM) chromatography separation and calculated molecular descriptors. , 2005, Journal of pharmaceutical and biomedical analysis.

[5]  Desire L. Massart,et al.  The Interpretation of Analytical Chemical Data by the Use of Cluster Analysis , 1983 .

[6]  Y. Heyden,et al.  Chemometric comparison of recent chromatographic and electrophoretic methods in a quantitative structure-retention and retention-activity relationship context. , 2003, Journal of chromatography. A.

[7]  A. Berthod,et al.  Micellar liquid chromatography , 2000 .

[8]  L. Escuder-Gilabert,et al.  Biopartitioning micellar separation methods: modelling drug absorption. , 2003, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

[9]  P. Carr,et al.  Chemistry of zirconia and its use in chromatography. , 1993, Journal of chromatography. A.

[10]  Li Di,et al.  PAMPA--critical factors for better predictions of absorption. , 2007, Journal of pharmaceutical sciences.

[11]  R. Put,et al.  Evaluation of chemometric techniques to select orthogonal chromatographic systems. , 2006, Journal of pharmaceutical and biomedical analysis.

[12]  S. Furlanetto,et al.  Development and evaluation of an in vitro method for prediction of human drug absorption I. Assessment of artificial membrane composition. , 2006, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[13]  Michael H Abraham,et al.  Fast calculation of van der Waals volume as a sum of atomic and bond contributions and its application to drug compounds. , 2003, The Journal of organic chemistry.

[14]  Johanna Smeyers-Verbeke,et al.  Handbook of Chemometrics and Qualimetrics: Part A , 1997 .

[15]  Pranav Shah,et al.  Role of Caco‐2 Cell Monolayers in Prediction of Intestinal Drug Absorption , 2006, Biotechnology progress.

[16]  P. Artursson,et al.  Correlation between oral drug absorption in humans and apparent drug permeability coefficients in human intestinal epithelial (Caco-2) cells. , 1991, Biochemical and biophysical research communications.

[17]  Kiyohiko Sugano,et al.  Prediction of human intestinal permeability using artificial membrane permeability. , 2003, International journal of pharmaceutics.

[18]  Y Vander Heyden,et al.  Evaluation of chromatographic descriptors for the prediction of gastro-intestinal absorption of drugs. , 2007, Journal of chromatography. A.

[19]  Ryuichi Matsuno,et al.  Relationships between structure and high-throughput screening permeability of peptide derivatives and related compounds with artificial membranes: application to prediction of Caco-2 cell permeability. , 2004, Bioorganic & medicinal chemistry.

[20]  C. Pidgeon,et al.  Immobilized-artificial-membrane chromatography: measurements of membrane partition coefficient and predicting drug membrane permeability. , 1996, Journal of chromatography. A.

[21]  M. L. La Rotonda,et al.  Prediction of drug-membrane interactions by IAM-HPLC: effects of different phospholipid stationary phases on the partition of bases. , 2004, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[22]  A. Ungell Caco-2 replace or refine? , 2004, Drug discovery today. Technologies.

[23]  E. Chan,et al.  Modeling Caco-2 permeability of drugs using immobilized artificial membrane chromatography and physicochemical descriptors. , 2005, Journal of chromatography. A.

[24]  G Mannens,et al.  Strategies for absorption screening in drug discovery and development. , 2001, Current topics in medicinal chemistry.

[25]  Li Di,et al.  Combined application of parallel artificial membrane permeability assay and Caco-2 permeability assays in drug discovery. , 2004, Journal of pharmaceutical sciences.

[26]  K. Valko,et al.  Application of high-performance liquid chromatography based measurements of lipophilicity to model biological distribution. , 2004, Journal of chromatography. A.

[27]  F. Lombardo,et al.  Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings , 1997 .

[28]  D. Massart,et al.  Quantitative structure-retention and retention-activity relationships of beta-blocking agents by micellar liquid chromatography. , 2001, Journal of chromatography. A.

[29]  R A Morrison,et al.  Current methodologies used for evaluation of intestinal permeability and absorption. , 2000, Journal of pharmacological and toxicological methods.

[30]  D. Massart,et al.  Determining orthogonal chromatographic systems prior to the development of methods to characterise impurities in drug substances. , 2003, Journal of chromatography. A.

[31]  G. Verreck,et al.  Evaluation of various PAMPA models to identify the most discriminating method for the prediction of BBB permeability. , 2010, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

[32]  C. Poole,et al.  Separation methods for estimating octanol-water partition coefficients. , 2003, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

[33]  H. Lennernäs,et al.  Comparison between active and passive drug transport in human intestinal epithelial (Caco-2) cells in vitro and human jejunum in vivo , 1996 .

[34]  Roberto Todeschini,et al.  Handbook of Molecular Descriptors , 2002 .

[35]  M. Khaledi,et al.  Quantitative structure-activity relationships studies with micellar electrokinetic chromatography. Influence of surfactant type and mixed micelles on estimation of hydrophobicity and bioavailability. , 1996, Journal of chromatography. A.

[36]  James A. Platts,et al.  Estimation of Molecular Linear Free Energy Relationship Descriptors. 4. Correlation and Prediction of Cell Permeation , 2004, Pharmaceutical Research.

[37]  P. Artursson,et al.  Determination of drug permeability and prediction of drug absorption in Caco-2 monolayers , 2007, Nature Protocols.

[38]  Prediction of pharmacological classification by means of chromatographic parameters processed by principal component analysis , 1997 .

[39]  H. Sator,et al.  Cluster Analysis in Clinical Chemistry: A Model , 1987 .

[40]  Y. Heyden,et al.  Guidance for robustness/ruggedness tests in method validation. , 2001, Journal of pharmaceutical and biomedical analysis.

[41]  D. Massart,et al.  Fast monolithic micellar liquid chromatography: an alternative drug permeability assessing method for high-throughput screening. , 2004, Analytical chemistry.

[42]  Peter J. Rousseeuw,et al.  Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .

[43]  I. Hidalgo,et al.  Assessing the absorption of new pharmaceuticals. , 2001, Current topics in medicinal chemistry.

[44]  D. Massart,et al.  Determining orthogonal and similar chromatographic systems from the injection of mixtures in liquid chromatography-diode array detection and the interpretation of correlation coefficients color maps. , 2004, Journal of chromatography. A.

[45]  Claire Mackie,et al.  Application of PAMPA-models to predict BBB permeability including efflux ratio, plasma protein binding and physicochemical parameters. , 2010, International journal of pharmaceutics.