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Predicting drug penetration across the blood-brain barrier: comparison of micellar liquid chromatography and immobilized artificial membrane liquid chromatography

Mike De Vrieze (UGent) , Frederic Lynen (UGent) , Kai Chen (UGent) , Roman Szucs (UGent) and Patrick Sandra (UGent)
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Abstract
Several in vitro methods were tested for their ability to predict drug penetration across the blood-brain barrier (BBB) into the central nervous system (CNS). The performance of various micellar liquid chromatography (MLC) methods and immobilized artificial membrane (IAM) liquid chromatography approaches were compared for a set of 45 solutes. MLC measurements were performed on a C18-column with sodium dodecyl sulfate (SDS), polyoxyethylene (23) lauryl ether (Brij35) or sodium deoxycholate (SDC) as surfactant in the micellar mobile phase. IAM liquid chromatography measurements were performed with a Dulbecco’s phosphate-buffered saline (DPBS) and methanol as organic modifier in the mobile phase. The corresponding retention and computed descriptor data for each solute were used for the construction of models to predict the transportation across the blood brain barrier (log BB). All data were correlated to experimental log BB values and the relative performance of the models was studied. SDS based models proved most suitable to predict log BB values followed closely by a simplified IAM method, where it could be observed that the extrapolation of the retention data to 0 % modifier in the mobile phase was unnecessary.
Keywords
Blood-brain barrier, Immobilized artificial membrane, Modeling, Central nervous system, Micellar liquid chromatography

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Chicago
De Vrieze, Mike, Frederic Lynen, Kai Chen, Roman Szucs, and Patrick Sandra. 2013. “Predicting Drug Penetration Across the Blood-brain Barrier: Comparison of Micellar Liquid Chromatography and Immobilized Artificial Membrane Liquid Chromatography.” In High-Performance-Liquid-Phase Separations and Related Techniques, 39th International Symposium, Abstracts.
APA
De Vrieze, M., Lynen, F., Chen, K., Szucs, R., & Sandra, P. (2013). Predicting drug penetration across the blood-brain barrier: comparison of micellar liquid chromatography and immobilized artificial membrane liquid chromatography. High-Performance-Liquid-Phase Separations and Related Techniques, 39th International symposium, Abstracts. Presented at the 39th International symposium on High-Performance-Liquid-Phase Separations and Related Techniques (HPLC 2013).
Vancouver
1.
De Vrieze M, Lynen F, Chen K, Szucs R, Sandra P. Predicting drug penetration across the blood-brain barrier: comparison of micellar liquid chromatography and immobilized artificial membrane liquid chromatography. High-Performance-Liquid-Phase Separations and Related Techniques, 39th International symposium, Abstracts. 2013.
MLA
De Vrieze, Mike et al. “Predicting Drug Penetration Across the Blood-brain Barrier: Comparison of Micellar Liquid Chromatography and Immobilized Artificial Membrane Liquid Chromatography.” High-Performance-Liquid-Phase Separations and Related Techniques, 39th International Symposium, Abstracts. 2013. Print.
@inproceedings{4100285,
  abstract     = {Several in vitro methods were tested for their ability to predict drug penetration across the blood-brain barrier (BBB) into the central nervous system (CNS). The performance of various micellar liquid chromatography (MLC) methods and immobilized artificial membrane (IAM) liquid chromatography approaches were compared for a set of 45 solutes. MLC measurements were performed on a C18-column with sodium dodecyl sulfate (SDS), polyoxyethylene (23) lauryl ether (Brij35) or sodium deoxycholate (SDC) as surfactant in the micellar mobile phase. IAM liquid chromatography measurements were performed with a Dulbecco{\textquoteright}s phosphate-buffered saline (DPBS) and methanol as organic modifier in the mobile phase. The corresponding retention and computed descriptor data for each solute were used for the construction of models to predict the transportation across the blood brain barrier (log BB). All data were correlated to experimental log BB values and the relative performance of the models was studied. SDS based models proved most suitable to predict log BB values followed closely by a simplified IAM method, where it could be observed that the extrapolation of the retention data to 0 \% modifier in the mobile phase was unnecessary.},
  author       = {De Vrieze, Mike and Lynen, Frederic and Chen, Kai and Szucs, Roman and Sandra, Patrick},
  booktitle    = {High-Performance-Liquid-Phase Separations and Related Techniques, 39th International symposium, Abstracts},
  language     = {eng},
  location     = {Amsterdam, The Netherlands},
  title        = {Predicting drug penetration across the blood-brain barrier: comparison of micellar liquid chromatography and immobilized artificial membrane liquid chromatography},
  year         = {2013},
}