A limited sampling strategy based on maximum a posteriori Bayesian estimation for a five-probe phenotyping cocktail

Purpose Cocktail approach using a combination of probes to phenotype several cytochromes P450 or transporters is of high interest in anticipating drug–drug interactions and personalized medicine. Its clinical use remains however limited by the intensive sampling scheme required to obtain phenotyping indexes (PI) which consists in calculating the area under the concentration–time curves. We proposed to use maximum a posteriori Bayesian estimation (MAPBE) that incorporates available information from the whole population to derive PI from a few individual observations. The performance of a limited sampling strategy (LSS) based on MAPBE was evaluated for a five-probe cocktail.