Literature DB >> 12884252

Pharmacokinetic-pharmacodynamic modeling of methotrexate-induced toxicity in mice.

Evelyn D Lobo1, Joseph P Balthasar.   

Abstract

The prediction of chemotherapeutic efficacy is complicated by "protocol dependencies" in dose-effect and dose-toxicity relationships. It has been proposed that pharmacokinetic-pharmacodynamic mathematical models may allow characterization of chemotherapeutic protocol dependencies, and may facilitate the prediction of chemotherapeutic efficacy; however, few demonstrations exist in the literature. The present study examines the pharmacokinetics and toxicodynamics of methotrexate (MTX), a commonly used anticancer agent, after intraperitoneal (i.p.) administration to mice. MTX was administered via bolus or infusion (24, 72, and 168 h), at doses of 2.5-1000 mg/kg. MTX plasma and peritoneal pharmacokinetics were characterized through standard noncompartmental and compartmental techniques. Body weight loss was used as a measure of MTX-induced toxicity. We found that MTX pharmacokinetics were independent of dose (over a range of 3-600 mg/kg) and independent of dosing mode (i.e., i.p. bolus vs. i.p. infusion). However, MTX-induced toxicity was shown to be highly dependent on the dosing protocol used. For example, the maximally tolerated dose (i.e., the dose related to a mean body weight loss of 10%) was 200-fold greater after bolus administration relative to that observed for 72-h infusion (760 mg/kg vs. 3.8 mg/kg). This profound protocol dependence in the relationship between MTX-induced toxicity and MTX exposure was characterized through the use of a time-dissociated pharmacokinetic-pharmacodynamic model (median prediction error: 3.9%). Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12884252     DOI: 10.1002/jps.10431

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  13 in total

Review 1.  Using physiologically-based pharmacokinetic-guided "body-on-a-chip" systems to predict mammalian response to drug and chemical exposure.

Authors:  Jong Hwan Sung; Balaji Srinivasan; Mandy Brigitte Esch; William T McLamb; Catia Bernabini; Michael L Shuler; James J Hickman
Journal:  Exp Biol Med (Maywood)       Date:  2014-06-20

2.  Synergistic effect of low-dose cucurbitacin B and low-dose methotrexate for treatment of human osteosarcoma.

Authors:  Dhong Hyun Lee; Nils H Thoennissen; Catherine Goff; Gabriela B Iwanski; Charles Forscher; Ngan B Doan; Jonathan W Said; H Phillip Koeffler
Journal:  Cancer Lett       Date:  2011-03-26       Impact factor: 8.679

3.  Pharmacokinetic application of a bio-analytical LC-MS method developed for 5-fluorouracil and methotrexate in mouse plasma, brain and urine.

Authors:  Vaishnavi Ganti; Ellen A Walker; Swati Nagar
Journal:  Biomed Chromatogr       Date:  2013-03-12       Impact factor: 1.902

4.  Pharmacokinetics, pharmacodynamics and toxicities of methotrexate in healthy and collagen-induced arthritic rats.

Authors:  Dong-Yang Liu; Hoi-Kei Lon; Yan-Lin Wang; Debra C DuBois; Richard R Almon; William J Jusko
Journal:  Biopharm Drug Dispos       Date:  2013-04-07       Impact factor: 1.627

5.  Determination of methotrexate and its major metabolite 7-hydroxymethotrexate in mouse plasma and brain tissue by liquid chromatography-tandem mass spectrometry.

Authors:  Ping Guo; Xiaomin Wang; Liansheng Liu; Martin G Belinsky; Gary D Kruh; James M Gallo
Journal:  J Pharm Biomed Anal       Date:  2007-01-12       Impact factor: 3.935

6.  Cognitive impact of cytotoxic agents in mice.

Authors:  R Seigers; M Loos; O Van Tellingen; W Boogerd; A B Smit; S B Schagen
Journal:  Psychopharmacology (Berl)       Date:  2014-06-04       Impact factor: 4.530

7.  A novel electrophysiological model of chemotherapy-induced cognitive impairments in mice.

Authors:  M J Gandal; R S Ehrlichman; N D Rudnick; S J Siegel
Journal:  Neuroscience       Date:  2008-09-09       Impact factor: 3.590

8.  Effects of chemotherapeutic agents 5-fluorouracil and methotrexate alone and combined in a mouse model of learning and memory.

Authors:  John J Foley; Robert B Raffa; Ellen A Walker
Journal:  Psychopharmacology (Berl)       Date:  2008-05-08       Impact factor: 4.530

9.  Engineering human T cells for resistance to methotrexate and mycophenolate mofetil as an in vivo cell selection strategy.

Authors:  Mahesh Jonnalagadda; Christine E Brown; Wen-Chung Chang; Julie R Ostberg; Stephen J Forman; Michael C Jensen
Journal:  PLoS One       Date:  2013-06-06       Impact factor: 3.240

10.  Mathematical modeling of topotecan pharmacokinetics and toxicodynamics in mice.

Authors:  Jin Chen; Qiang Lu; Joseph P Balthasar
Journal:  J Pharmacokinet Pharmacodyn       Date:  2007-09-21       Impact factor: 2.410

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