Clozapine-loaded nanocapsules improve antipsychotic activity in rats: building a sequential PopPK/PD model to discriminate nanocarriers in the preformulation step.
Pharm Res
; 40(7): 1751-1763, 2023 Jul.
Article
em En
| MEDLINE
| ID: mdl-37349652
ABSTRACT
PURPOSE:
We investigated the impact of nanoformulations on the dose-exposure-response relationship of clozapine (CZP), a low-solubility antipsychotic with serious adverse effects, using a popPK/PD approach.METHODS:
We evaluated the pharmacokinetics and PK/PD profiles of three coated polymeric CZP-loaded nanocapsules functionalized with polysorbate 80 (NCP80), polyethylene glycol (NCPEG), and chitosan (NCCS). Data on in vitro CZP release by dialysis bag, plasma pharmacokinetic profiles in male Wistar rats (n = 7/group, 5 mg kg-1, i.v.), and percentage of head movements in a stereotyped model (n = 7/group, 5 mg kg-1, i.p.) were integrated using a sequential model building approach (MonolixSuiteTM-2020R1-Simulation Plus).RESULTS:
A base popPK model developed with CZP solution data collected after the i.v. administration of CZP was expanded to describe the changes in drug distribution caused by nanoencapsulation. Two additional compartments were inserted into the NCP80 and NCPEG models, and a third compartment was included in the NCCS model. The nanoencapsulation showed a decrease in the central volume of distribution for NCCS (V1NCpop = 0.21 mL), while for FCZP, NCP80, and NCPEG, it was ~1 mL. The peripheral distribution volume was higher for the nanoencapsulated groups (19.1 and 129.45 mL for NCCS and NCP80, respectively) than for FCZP. The popPK/PD model showed a formulation-dependent plasma IC50, with 20-, 50-, and 80-fold reductions compared to the CZP solution (NCP80, NCPEG, and NCCS, respectively).CONCLUSION:
Our model discriminates the coatings and describes the peculiar PK and PD behavior of nanoencapsulated CZP, especially NCCS, making it an exciting tool for evaluating the preclinical performance of nanoparticles.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Pharm Res
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Brasil