Ionization-specific prediction of blood-brain permeability

J Pharm Sci. 2009 Jan;98(1):122-34. doi: 10.1002/jps.21405.

Abstract

This study presents a mechanistic QSAR analysis of passive blood-brain barrier permeability of drugs and drug-like compounds in rats and mice. The experimental data represented in vivo log PS (permeability-surface area product) from in situ perfusion, brain uptake index, and intravenous administration studies. A data set of 280 log PS values was compiled. A subset of 178 compounds was assumed to be driven by passive transport that is free of plasma protein binding and carrier-mediated effects. This subset was described in terms of nonlinear lipophilicity and ionization dependences, that account for multiple kinetic and thermodynamic effects: (i) drug's kinetic diffusion, (ii) ion-specific partitioning between plasma and brain capillary endothelial cell membranes, and (iii) hydrophobic entrapment in phospholipid bilayer. The obtained QSAR model provides both good statistical significance (RMSE < 0.5) and simple physicochemical interpretations (log P and pKa), thus providing a clear route towards property-based design of new CNS drugs.

Publication types

  • Comparative Study

MeSH terms

  • Animals
  • Blood-Brain Barrier / chemistry*
  • Blood-Brain Barrier / metabolism*
  • Capillary Permeability / physiology*
  • Electrolytes / chemistry*
  • Electrolytes / classification
  • Electrolytes / metabolism*
  • Mice
  • Models, Chemical*
  • Models, Statistical
  • Pharmaceutical Preparations / chemistry*
  • Pharmaceutical Preparations / classification
  • Pharmaceutical Preparations / metabolism*
  • Predictive Value of Tests
  • Quantitative Structure-Activity Relationship
  • Rats
  • Thermodynamics

Substances

  • Electrolytes
  • Pharmaceutical Preparations