Literature DB >> 26189007

Population Pharmacokinetic Analysis of the Oral Absorption Process and Explaining Intra-Subject Variability in Plasma Exposures of Imatinib in Healthy Volunteers.

Ali-Akbar Golabchifar1, Saeed Rezaee2, Nahid Mobarghei Dinan1, Abbas Kebriaeezadeh3, Mohammad-Reza Rouini4.   

Abstract

BACKGROUND AND
OBJECTIVE: Imatinib mesylate is presently the first-line treatment for chronic myeloid leukemia (CML). The aim of this study was to investigate the absorption and distribution kinetics of imatinib in healthy Iranian volunteers using nonlinear mixed effects modeling (NLMEM) to assess the overall, intra- and inter-subject variabilities in pharmacokinetic parameters after oral administration.
METHODS: This analysis was based on data from 24 healthy subjects who participated in a bioequivalence study after administering a single dose of 200 mg of each formulation. Imatinib concentrations were quantified using a validated liquid chromatography method. To simultaneously describe the imatinib pharmacokinetic profiles obtained with both formulations, a population pharmacokinetic model was applied to data using SAEM algorithm implemented in MONOLIX, whilst simulations were used by numerical solving of ordinary differential equations to calculate secondary parameters in individuals for bioequivalence studies.
RESULTS: According to goodness-of-fit criteria, a two-compartment open model with sequential zero- then first-order absorption and first-order elimination was used as the structural pharmacokinetic model. Inter-individual variability (IIV) was considered for all parameters. Typical population estimates (% IIV) were fraction of the drug absorbed with a zero-order kinetic (Fr) of 0.153 (47.9 %) in period (Tk0) of 0.714 h (47.4 %), first-order absorption rate constant (k a) of 0.94 h(-1)(31.2 %), oral clearance of 19 L/h (27.9 %), central volume of distribution (V c/F) of 139 L (21.5 %), apparent peripheral volume of distribution (V p/F) of 130 L (29.7 %) and the apparent inter-compartment clearance (Q/F) of 29.6 L/h (41.8 %). Body mass index (BMI) was the only covariate found to significantly affect V p /F. The coefficient of variation for intra-individual plasma exposure (AUC0-∞) was 27.8 %.
CONCLUSIONS: Analyses using NLMEM for imatinib exhibited absorption complexities such as two input rates and medium to high intra-individual variability in drug exposure.

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Year:  2016        PMID: 26189007     DOI: 10.1007/s13318-015-0292-3

Source DB:  PubMed          Journal:  Eur J Drug Metab Pharmacokinet        ISSN: 0378-7966            Impact factor:   2.441


  37 in total

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Authors:  Ali-Akbar Golabchifar; Mohammad-Reza Rouini; Bijan Shafaghi; Saeed Rezaee; Alireza Foroumadi; Mohammad-Reza Khoshayand
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2.  Population pharmacokinetics of imatinib mesylate in patients with chronic-phase chronic myeloid leukaemia: results of a phase III study.

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4.  BDDCS applied to over 900 drugs.

Authors:  Leslie Z Benet; Fabio Broccatelli; Tudor I Oprea
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Journal:  Haematologica       Date:  2012-08-08       Impact factor: 9.941

6.  The c.480C>G polymorphism of hOCT1 influences imatinib clearance in patients affected by chronic myeloid leukemia.

Authors:  A Di Paolo; M Polillo; M Capecchi; G Cervetti; C Baratè; S Angelini; F Guerrini; G Fontanelli; R Arici; E Ciabatti; S Grassi; G Bocci; P Hrelia; R Danesi; M Petrini; S Galimberti
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7.  Population pharmacokinetics and pharmacogenetics of imatinib in children and adults.

Authors:  Aurélie Petain; Darouna Kattygnarath; Julie Azard; Etienne Chatelut; Catherine Delbaldo; Birgit Geoerger; Michel Barrois; Sophie Séronie-Vivien; Axel LeCesne; Gilles Vassal
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8.  Imatinib mesylate is a potent inhibitor of the ABCG2 (BCRP) transporter and reverses resistance to topotecan and SN-38 in vitro.

Authors:  Peter J Houghton; Glen S Germain; Franklin C Harwood; John D Schuetz; Clinton F Stewart; Elisabeth Buchdunger; Peter Traxler
Journal:  Cancer Res       Date:  2004-04-01       Impact factor: 12.701

9.  Efficacy and safety of imatinib mesylate in advanced gastrointestinal stromal tumors.

Authors:  George D Demetri; Margaret von Mehren; Charles D Blanke; Annick D Van den Abbeele; Burton Eisenberg; Peter J Roberts; Michael C Heinrich; David A Tuveson; Samuel Singer; Milos Janicek; Jonathan A Fletcher; Stuart G Silverman; Sandra L Silberman; Renaud Capdeville; Beate Kiese; Bin Peng; Sasa Dimitrijevic; Brian J Druker; Christopher Corless; Christopher D M Fletcher; Heikki Joensuu
Journal:  N Engl J Med       Date:  2002-08-15       Impact factor: 91.245

Review 10.  Drug interactions with the tyrosine kinase inhibitors imatinib, dasatinib, and nilotinib.

Authors:  Amina Haouala; Nicolas Widmer; Michel A Duchosal; Michael Montemurro; Thierry Buclin; Laurent A Decosterd
Journal:  Blood       Date:  2010-09-01       Impact factor: 22.113

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Journal:  Eur J Clin Pharmacol       Date:  2022-06-02       Impact factor: 3.064

2.  Population Pharmacokinetics of Glasdegib in Patients With Advanced Hematologic Malignancies and Solid Tumors.

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  2 in total

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