AIMS: Naloxegol, a polyethylene glycol conjugated derivative of the opioid antagonist naloxone, is in clinical development for treatment of opioid-induced constipation (OIC). The aim of the study was to develop a population pharmacokinetic model describing the concentration vs. time profile of orally administered naloxegol, and determine the impact of pre-specified demographic and clinical factors and concomitant medication on population estimates of apparent clearance (CL/F) and apparent central compartment volume of distribution (Vc /F). METHODS: Analysis included 12,844 naloxegol plasma concentrations obtained from 1247 healthy subjects, patients with non-OIC and patients with OIC in 14 phase 1, 2b and 3 clinical studies. Pharmacokinetic analysis used the non-linear mixed effects modelling program. Goodness of fit plots and posterior predictive checks were conducted to confirm concordance with observed data. RESULTS: The final model was a two compartment disposition model with dual absorptions, comprising one first order absorption (ka1 4.56 h(-1) ) and one more complex absorption with a transit compartment (ktr 2.78 h(-1) ). Mean (SE) parameter estimates for CL/F and Vc /F, the parameters assessed for covariate effects, were 115 (3.41) l h(-1) and 160 (27.4) l, respectively. Inter-individual variability was 48% and 51%, respectively. Phase of study, gender, race, concomitant strong or moderate CYP3A4 inhibitors, strong CYP3A4 inducers, P-glycoprotein inhibitors or inducers, naloxegol formulation, baseline creatinine clearance and baseline opioid dose had a significant effect on at least one pharmacokinetic parameter. Simulations indicated concomitant strong CYP3A4 inhibitors or inducers had relevant effects on naloxegol exposure. CONCLUSIONS: Administration of strong CYP3A4 inhibitors or inducers had a clinically relevant influence on naloxegol pharmacokinetics.
AIMS: Naloxegol, a polyethylene glycol conjugated derivative of the opioid antagonist naloxone, is in clinical development for treatment of opioid-induced constipation (OIC). The aim of the study was to develop a population pharmacokinetic model describing the concentration vs. time profile of orally administered naloxegol, and determine the impact of pre-specified demographic and clinical factors and concomitant medication on population estimates of apparent clearance (CL/F) and apparent central compartment volume of distribution (Vc /F). METHODS: Analysis included 12,844 naloxegol plasma concentrations obtained from 1247 healthy subjects, patients with non-OIC and patients with OIC in 14 phase 1, 2b and 3 clinical studies. Pharmacokinetic analysis used the non-linear mixed effects modelling program. Goodness of fit plots and posterior predictive checks were conducted to confirm concordance with observed data. RESULTS: The final model was a two compartment disposition model with dual absorptions, comprising one first order absorption (ka1 4.56 h(-1) ) and one more complex absorption with a transit compartment (ktr 2.78 h(-1) ). Mean (SE) parameter estimates for CL/F and Vc /F, the parameters assessed for covariate effects, were 115 (3.41) l h(-1) and 160 (27.4) l, respectively. Inter-individual variability was 48% and 51%, respectively. Phase of study, gender, race, concomitant strong or moderate CYP3A4 inhibitors, strong CYP3A4 inducers, P-glycoprotein inhibitors or inducers, naloxegol formulation, baseline creatinine clearance and baseline opioid dose had a significant effect on at least one pharmacokinetic parameter. Simulations indicated concomitant strong CYP3A4 inhibitors or inducers had relevant effects on naloxegol exposure. CONCLUSIONS: Administration of strong CYP3A4 inhibitors or inducers had a clinically relevant influence on naloxegol pharmacokinetics.
Authors: P Kuehl; J Zhang; Y Lin; J Lamba; M Assem; J Schuetz; P B Watkins; A Daly; S A Wrighton; S D Hall; P Maurel; M Relling; C Brimer; K Yasuda; R Venkataramanan; S Strom; K Thummel; M S Boguski; E Schuetz Journal: Nat Genet Date: 2001-04 Impact factor: 38.330
Authors: Karen Reimer; Michael Hopp; Michael Zenz; Christoph Maier; Peter Holzer; Gerd Mikus; Bjoern Bosse; Kevin Smith; Catharina Buschmann-Kramm; Petra Leyendecker Journal: Pharmacology Date: 2008-10-28 Impact factor: 2.547
Authors: William D Chey; Lynn Webster; Mark Sostek; Jaakko Lappalainen; Peter N Barker; Jan Tack Journal: N Engl J Med Date: 2014-06-04 Impact factor: 91.245
Authors: Ana Fernández-Montes; Guillermo de Velasco; Santiago Aguín; Cristina Farriols; María Guirado-Risueño; Vanessa G Jerviz-Guía; María Victoria Baeza-Nadal; Rodolfo Chicas-Sett; José Luis Fírvida; Francisco García-Navalón; Patricia Martín; Carmen Perezagua-Marín; Dulce Rodríguez; Joan Santamaría; Tamara Saurí; Manuel Cobo Journal: Curr Treat Options Oncol Date: 2021-02-26