Abstract
The scope of the present article is to study formulation parameters of micellar and of lipid delivery systems on the exposure of a new drug compound A in Wistar rats. A statistical analysis is to be performed a posteriori from a data set of all rat studies that were conducted during the preclinical development of the drug. Several formulations were evaluated mainly in view of sufficient exposure in toxicological studies. Because of the low solubility and high lipophilicity of compound A, the preclinical formulation development focused on micellar solutions and different kinds of lipid drug delivery systems. Candidate formulations were first tested for their dilution in artificial intestinal fluids before they were evaluated in the rat. A partial least square model was applied to the entire pharmacokinetic data set, and the type of delivery system, as well as excipients, were investigated in view of effects on the area under the plasma level curve. The results showed that self-emulsifying systems and in particular self-microemulsifying drug delivery systems were most effective in pushing the exposure of compound A. Another significant factor was the dose. A data subset showed nonlinearity in the pharmacokinetics with respect to the dose. However, the most important findings of the multivariate data analysis were overall effects of excipients on the exposure. These effects are considered as a sum of several influences so that the underlying mechanism is essentially complex and is not fully understood. Cremophor and lecithin exhibited a positive effect, whereas TPGS containing systems reached only below average exposure. No significant effect was observed with polysorbate 80 or Solutol HS. The model indicated the favorable use of a cosurfactant, in particular Capmul MCM. Similarly the use of a cosolvent showed a positive coefficient and ethanol was here best in class. No marked effects were observed for the oil selection, but a tendency toward below average exposure was displayed when long-chain triglycerides were in the formulation. The a posteriori analysis of the pharmacokinetic data using multivariate statistical models was very helpful to clarify effects of drug delivery systems as well as of general effects of excipients. Guidance was provided for the formulator, but further studies are needed to better understand the complex effects on a mechanistic level.