Literature DB >> 15733213

On the prediction of the human response: a recycled mechanistic pharmacokinetic/pharmacodynamic approach.

Guy M L Meno-Tetang1, Philip J Lowe.   

Abstract

Although it is routine to predict the blood or plasma pharmacokinetics of compounds for man based upon preclinical studies, the real value of such predictions only comes when linked to drug effects. In the first example, the immunomodulator, FTY720, the first sphingosine-1-phosphate receptor agonist, stimulates the sequestration of lymphocytes into lymph nodes thus removing cells from blood circulation. A prior physiology-based pharmacokinetic model fitted the concentration-time course of FTY720 in rats. This was connected to an indirect response model of the lymphocyte system to characterise the cell trafficking effects. The IC(50) of FTY720 was different in the rat compared with the monkey; man was assumed to be similar to the monkey. The systemic lymphocyte half-lives were also different between species. To make predictions of the pharmacodynamic behaviour for man, two elements are required, i) systemic exposure, in this case from an upscaled physiology based model, and ii) an estimate of lymphocyte turnover in man, gained from the literature from other drug treatments. Predictions compared well with clinical results. The second example is the monoclonal antibody Xolair, designed to bind immunoglobulin E for atopic diseases. A mechanism based two-site binding model described the kinetics of both Xolair and endogenous IgE. This model has been reused for other monoclonal antibodies designed to bind fluid-phase ligands. Sensitivity analysis shows that if differences across species in the kinetics of the endogenous system are not accounted for, then pharmacokinetic/pharmacodynamic models may give misleading predictions of the time course and extent of the response.

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Year:  2005        PMID: 15733213     DOI: 10.1111/j.1742-7843.2005.pto960307.x

Source DB:  PubMed          Journal:  Basic Clin Pharmacol Toxicol        ISSN: 1742-7835            Impact factor:   4.080


  40 in total

1.  FTY720 mediates activation suppression and G(0)/G (1) cell cycle arrest in a concanavalin A-induced mouse lymphocyte pan-activation model.

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2.  Properties of a general PK/PD model of antibody-ligand interactions for therapeutic antibodies that bind to soluble endogenous targets.

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Journal:  MAbs       Date:  2010-09-01       Impact factor: 5.857

Review 3.  Prediction of exposure-response relationships to support first-in-human study design.

Authors:  John P Gibbs
Journal:  AAPS J       Date:  2010-10-22       Impact factor: 4.009

Review 4.  Integrated pharmacokinetics and pharmacodynamics in drug development.

Authors:  Jasper Dingemanse; Silke Appel-Dingemanse
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

Review 5.  AllergoOncology: the role of IgE-mediated allergy in cancer.

Authors:  E Jensen-Jarolim; G Achatz; M C Turner; S Karagiannis; F Legrand; M Capron; M L Penichet; J A Rodríguez; A G Siccardi; L Vangelista; A B Riemer; H Gould
Journal:  Allergy       Date:  2008-07-26       Impact factor: 13.146

6.  Effect of antigen binding affinity and effector function on the pharmacokinetics and pharmacodynamics of anti-IgE monoclonal antibodies.

Authors:  Deborah L Mortensen; Saileta Prabhu; Eric G Stefanich; Saloumeh Kadkhodayan-Fischer; Thomas R Gelzleichter; Dana Baker; Jenny Jiang; Kristin Wallace; Suhasini Iyer; Paul J Fielder; Wendy S Putnam
Journal:  MAbs       Date:  2012 Nov-Dec       Impact factor: 5.857

Review 7.  At the bench: the key role of PK-PD modelling in enabling the early discovery of biologic therapies.

Authors:  Mark Penney; Balaji Agoram
Journal:  Br J Clin Pharmacol       Date:  2014-05       Impact factor: 4.335

8.  FTY720 demonstrates promising preclinical activity for chronic lymphocytic leukemia and lymphoblastic leukemia/lymphoma.

Authors:  Qing Liu; Xiaobin Zhao; Frank Frissora; Yihui Ma; Ramasamy Santhanam; David Jarjoura; Amy Lehman; Danilo Perrotti; Ching-Shih Chen; James T Dalton; Natarajan Muthusamy; John C Byrd
Journal:  Blood       Date:  2007-08-29       Impact factor: 22.113

9.  Mechanistic pharmacokinetic/target engagement/pharmacodynamic (PK/TE/PD) modeling in deciphering interplay between a monoclonal antibody and its soluble target in cynomolgus monkeys.

Authors:  Weirong Wang; Xiaofeng Wang; Rajitha Doddareddy; Damien Fink; Thomas McIntosh; Hugh M Davis; Honghui Zhou
Journal:  AAPS J       Date:  2013-11-28       Impact factor: 4.009

10.  Use of pharmacokinetic/ pharmacodynamic modelling for starting dose selection in first-in-human trials of high-risk biologics.

Authors:  Balaji M Agoram
Journal:  Br J Clin Pharmacol       Date:  2008-12-11       Impact factor: 4.335

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