Literature DB >> 23483363

A population pharmacokinetic model for low-dose methotrexate and its polyglutamated metabolites in red blood cells.

Julia Korell1, Lisa K Stamp, Murray L Barclay, Judith M Dalrymple, Jill Drake, Mei Zhang, Stephen B Duffull.   

Abstract

BACKGROUND: Measurement of intracellular concentrations of methotrexate (MTX) and its polyglutamated metabolites (MTXGlu(2-5)) in red blood cells (RBCs) has been suggested as a potential means of monitoring low-dose MTX treatment of rheumatoid arthritis (RA). However, a possible correlation between RBC MTX and MTXGlu2-5 concentrations and clinical outcomes of MTX treatment in RA is debated. A better understanding of the dose-concentration-time relationship of MTX and MTXGlu(2-5) in RBCs by population pharmacokinetic modelling is desirable and will facilitate assessing a potential RBC concentration-effect relationship in the future. AIM: The purpose of this analysis was to describe the pharmacokinetics of MTX and MTXGlu(2-5) in RBCs. Secondary objectives included investigation of deglutamation reactions and the loss of MTX and MTXGlu(2-5) from the RBC.
METHODS: A model was developed using NONMEM(®) version 7.2 based on RBC data obtained from 48 patients with RA receiving once-weekly low-dose MTX treatment. This model was linked to a fixed two-compartment model that was used to describe the pharmacokinetics of MTX in the plasma. A series of five compartments were used to describe the intracellular pharmacokinetics of MTX and MTXGlu(2-5) in RBCs. Biologically plausible covariates were tested for a significant effect on MTX plasma clearance and the intracellular volume of distribution of all MTX species in RBCs ([Formula: see text]). The developed model was used to test hypotheses related to the enzymatic deglutamation of MTXGlu(2-5) and potential loss of MTXGlu(2-5) from RBCs.
RESULTS: The final RBC pharmacokinetic model required the intracellular volumes of distribution for the parent and metabolites to be set to the value estimated for the parent drug MTX alone, and the rate constants describing the polyglutamation steps were fixed at literature values. Significant covariates included effect of body surface area-adjusted estimated glomerular filtration rate on renal plasma clearance and effect of allometrically scaled total body weight with a fixed exponent of 0.75 on non-renal plasma clearance of MTX. The only significant covariate with an effect on [Formula: see text] was mean corpuscular volume (MCV). The model supported single deglutamation steps and a single mechanism of MTX and MTXGlu(2-5) loss from RBCs.
CONCLUSIONS: The developed model enabled acceptable description of the intracellular kinetics of MTX and MTXGlu(2-5) in RBCs. In the future it can form the basis of a full pharmacokinetic-pharmacodynamic model to assess the time-RBC concentration-effect relationship of low-dose MTX treatment in RA.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23483363     DOI: 10.1007/s40262-013-0052-y

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  22 in total

1.  Importance of shrinkage in empirical bayes estimates for diagnostics: problems and solutions.

Authors:  Radojka M Savic; Mats O Karlsson
Journal:  AAPS J       Date:  2009-08-01       Impact factor: 4.009

2.  A size standard for pharmacokinetics.

Authors:  N H Holford
Journal:  Clin Pharmacokinet       Date:  1996-05       Impact factor: 6.447

3.  Pharmacokinetics of low-dose methotrexate in rheumatoid arthritis patients.

Authors:  R A Herman; P Veng-Pedersen; J Hoffman; R Koehnke; D E Furst
Journal:  J Pharm Sci       Date:  1989-02       Impact factor: 3.534

4.  Quantification of lean bodyweight.

Authors:  Sarayut Janmahasatian; Stephen B Duffull; Susan Ash; Leigh C Ward; Nuala M Byrne; Bruce Green
Journal:  Clin Pharmacokinet       Date:  2005       Impact factor: 6.447

Review 5.  Carrier-mediated membrane transport of folates in mammalian cells.

Authors:  F M Sirotnak; B Tolner
Journal:  Annu Rev Nutr       Date:  1999       Impact factor: 11.848

6.  Pharmacogenetic and metabolite measurements are associated with clinical status in patients with rheumatoid arthritis treated with methotrexate: results of a multicentred cross sectional observational study.

Authors:  T Dervieux; D Furst; D O Lein; R Capps; K Smith; J Caldwell; J Kremer
Journal:  Ann Rheum Dis       Date:  2005-01-27       Impact factor: 19.103

7.  Methotrexate polyglutamate levels in circulating erythrocytes and polymorphs correlate with clinical efficacy in rheumatoid arthritis.

Authors:  P Angelis-Stoforidis; F J Vajda; N Christophidis
Journal:  Clin Exp Rheumatol       Date:  1999 May-Jun       Impact factor: 4.473

8.  Wild-type breast cancer resistance protein (BCRP/ABCG2) is a methotrexate polyglutamate transporter.

Authors:  Erin L Volk; Erasmus Schneider
Journal:  Cancer Res       Date:  2003-09-01       Impact factor: 12.701

9.  Polyglutamation of methotrexate with common polymorphisms in reduced folate carrier, aminoimidazole carboxamide ribonucleotide transformylase, and thymidylate synthase are associated with methotrexate effects in rheumatoid arthritis.

Authors:  Thierry Dervieux; Daniel Furst; Diana Orentas Lein; Robert Capps; Katie Smith; Michael Walsh; Joel Kremer
Journal:  Arthritis Rheum       Date:  2004-09

10.  Enhanced inhibition of thymidylate synthase by methotrexate polyglutamates.

Authors:  C J Allegra; B A Chabner; J C Drake; R Lutz; D Rodbard; J Jolivet
Journal:  J Biol Chem       Date:  1985-08-15       Impact factor: 5.157

View more
  7 in total

1.  Simplification of a pharmacokinetic model for red blood cell methotrexate disposition.

Authors:  Shan Pan; Julia Korell; Lisa K Stamp; Stephen B Duffull
Journal:  Eur J Clin Pharmacol       Date:  2015-09-26       Impact factor: 2.953

2.  Maternal exposure to methotrexate and birth defects: a population-based study.

Authors:  April L Dawson; Tiffany Riehle-Colarusso; Jennita Reefhuis; J Fernando Arena
Journal:  Am J Med Genet A       Date:  2014-06-04       Impact factor: 2.802

3.  Assessment of the relationship between methotrexate polyglutamates in red blood cells and clinical response in patients commencing methotrexate for rheumatoid arthritis.

Authors:  Shan Pan; Lisa K Stamp; Stephen B Duffull; Murray L Barclay; Judith M Dalrymple; Jill Drake; Mei Zhang; Julia Korell
Journal:  Clin Pharmacokinet       Date:  2014-12       Impact factor: 6.447

4.  Comparison of intracellular methotrexate kinetics in red blood cells with the kinetics in other cell types.

Authors:  Julia Korell; Stephen B Duffull; Judith M Dalrymple; Jill Drake; Mei Zhang; Murray L Barclay; Lisa K Stamp
Journal:  Br J Clin Pharmacol       Date:  2014-03       Impact factor: 4.335

5.  Pharmacogenomics of Methotrexate Membrane Transport Pathway: Can Clinical Response to Methotrexate in Rheumatoid Arthritis Be Predicted?

Authors:  Aurea Lima; Miguel Bernardes; Rita Azevedo; Rui Medeiros; Vítor Seabra
Journal:  Int J Mol Sci       Date:  2015-06-16       Impact factor: 5.923

6.  Association of NUDT15*3 and FPGS 2572C>T Variants with the Risk of Early Hematologic Toxicity During 6-MP and Low-Dose Methotrexate-Based Maintenance Therapy in Indian Patients with Acute Lymphoblastic Leukemia.

Authors:  Sunitha Kodidela; Patchava Dorababu; Dimpal N Thakkar; Biswajit Dubashi; Rajan Sundaram; Niveditha Muralidharan; Ravi Prasad Nidanapu; Anil Aribandi; Suresh Chandra Pradhan; Chakradhara Rao Satyanarayana Uppugunduri
Journal:  Genes (Basel)       Date:  2020-05-28       Impact factor: 4.096

7.  Physiologically based pharmacokinetic modelling of methotrexate and 6-mercaptopurine in adults and children. Part 1: methotrexate.

Authors:  Kayode Ogungbenro; Leon Aarons
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-03-21       Impact factor: 2.745

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.