| Literature DB >> 33256255 |
Niurys de Castro-Suárez1, Mirjam N Trame2, Mayra Ramos-Suzarte3, José M Dávalos4, Raymed A Bacallao-Mendez4, Anaelys R Maceo-Sinabele5, Víctor Mangas-Sanjuán6,7, Gledys Reynaldo-Fernández1, Leyanis Rodríguez-Vera1.
Abstract
Autosomal dominant polycystic kidney disease (ADPKD) is a genetic disease characterized by an overexpression of epidermal growth factor receptor (EGFR). Nimotuzumab is a recombinant humanized monoclonal antibody against human EGFR. The aim of this study was to develop a population pharmacokinetic model for nimotuzumab and to identify demographic and clinical predictive factors of the pharmacokinetic variability. The population pharmacokinetics (PopPK) of nimotuzumab was characterized using a nonlinear mixed-effect modeling approach with NONMEM®. A total of 422 log-transformed concentration-versus-time datapoints from 20 patients enrolled in a single-center phase I clinical trial were used. Quasi steady state approximation of the full TMDD (target-mediated drug disposition) model with constant target concentration best described the concentration-time profiles. A turnover mediator was included which stimulates the non-specific clearance of mAb in the central compartment in order to explain the reduced levels at higher doses. Covariates had no influence on the PK (pharmacokinetics) parameters. The model was able to detect that the maximum effective dose in ADPKD subjects is 100 mg. The developed PopPK model may be used to guide the dose selection for nimotuzumab during routine clinical practice in patients with polycystic kidney disease. The model will further support the ongoing investigations of the PK/PD relationships of nimotuzumab to improve its therapeutic use in other disease areas.Entities:
Keywords: EGFR; NONMEM; autosomal dominant polycystic kidney disease; nimotuzumab; population analysis; semi-mechanistic pharmacokinetics
Year: 2020 PMID: 33256255 PMCID: PMC7760646 DOI: 10.3390/pharmaceutics12121147
Source DB: PubMed Journal: Pharmaceutics ISSN: 1999-4923 Impact factor: 6.321