Literature DB >> 16028009

Pharmacokinetic-pharmacodynamic-efficacy analysis of efalizumab in patients with moderate to severe psoriasis.

Chee M Ng1, Amita Joshi, Russell L Dedrick, Marvin R Garovoy, Robert J Bauer.   

Abstract

PURPOSE: Efalizumab is a humanized anti-CD11a monoclonal antibody that demonstrated efficacy in the treatment of patients with psoriasis. The objective of this study was to perform a pharmacokinetic (PK)-pharmacodynamic (PD)-efficacy (E) modeling analysis with intersubject variability assessment to increase our understanding of the interaction of efalizumab with CD11a on T cells and consequent reduction in severity of disease in psoriasis patients.
METHODS: A total of 6,329 samples from 240 patients in five Phase I and II clinical studies were used in the analysis. For the analysis, plasma efalizumab concentration was used as the PK measurement, the percent of predose CD11a was used as the PD measurement, and the psoriasis area and severity index was used as the measure of efficacy. A receptor-mediated PK/PD model was developed that describes the dynamic interaction of efalizumab binding with CD11a. In the efficacy model, the rate of psoriasis skin production is directly proportional to the amount of free surface CD11a on T cells, which is offset by the rate of skin healing. An additional CD11a-independent component to psoriasis skin production accounted for incomplete response to efalizumab therapy. A Monte Carlo parametric expectation maximization method implemented in the ADAPT II program was used to obtain the estimate of population parameters and inter- and intrasubject variability. RESULTS AND
CONCLUSIONS: The final model described the PK/PD/E data in psoriasis patients reasonably well. In addition, simulations using the final model suggested that efalizumab administered less frequently could possibly be more convenient with similar efficacy.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16028009     DOI: 10.1007/s11095-005-5642-4

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  20 in total

1.  Mathematical formalism and characteristics of four basic models of indirect pharmacodynamic responses for drug infusions.

Authors:  W Krzyzanski; W J Jusko
Journal:  J Pharmacokinet Biopharm       Date:  1998-08

2.  General pharmacokinetic model for drugs exhibiting target-mediated drug disposition.

Authors:  D E Mager; W J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2001-12       Impact factor: 2.745

3.  Precursor-dependent indirect pharmacodynamic response model for tolerance and rebound phenomena.

Authors:  A Sharma; W F Ebling; W J Jusko
Journal:  J Pharm Sci       Date:  1998-12       Impact factor: 3.534

Review 4.  The immunologic basis for the treatment of psoriasis with new biologic agents.

Authors:  James G Krueger
Journal:  J Am Acad Dermatol       Date:  2002-01       Impact factor: 11.527

5.  Population pharmacokinetics and pharmacodynamics of the anti-CD11a antibody hu1124 in human subjects with psoriasis.

Authors:  R J Bauer; R L Dedrick; M L White; M J Murray; M R Garovoy
Journal:  J Pharmacokinet Biopharm       Date:  1999-08

Review 6.  Clinical measures of disease severity and outcome in psoriasis: a critical appraisal of their quality.

Authors:  D M Ashcroft; A L Wan Po; H C Williams; C E Griffiths
Journal:  Br J Dermatol       Date:  1999-08       Impact factor: 9.302

7.  A population pharmacokinetic-pharmacodynamic analysis of single doses of clenoliximab in patients with rheumatoid arthritis.

Authors:  D R Mould; C B Davis; E A Minthorn; D C Kwok; M J Elliott; M E Luggen; M C Totoritis
Journal:  Clin Pharmacol Ther       Date:  1999-09       Impact factor: 6.875

8.  Efalizumab for patients with moderate to severe plaque psoriasis: a randomized controlled trial.

Authors:  Kenneth B Gordon; Kim A Papp; Tiffani K Hamilton; Patricia A Walicke; Wolfgang Dummer; Nicole Li; Brian W Bresnahan; Alan Menter
Journal:  JAMA       Date:  2003-12-17       Impact factor: 56.272

9.  A novel targeted T-cell modulator, efalizumab, for plaque psoriasis.

Authors:  Mark Lebwohl; Stephen K Tyring; Tiffani K Hamilton; Darryl Toth; Scott Glazer; Naji H Tawfik; Patricia Walicke; Wolfgang Dummer; Xiaolin Wang; Marvin R Garovoy; David Pariser
Journal:  N Engl J Med       Date:  2003-11-20       Impact factor: 91.245

10.  Expression of HLA-DR molecules by keratinocytes, and presence of Langerhans cells in the dermal infiltrate of active psoriatic plaques.

Authors:  A B Gottlieb; B Lifshitz; S M Fu; L Staiano-Coico; C Y Wang; D M Carter
Journal:  J Exp Med       Date:  1986-10-01       Impact factor: 14.307

View more
  38 in total

Review 1.  Population pharmacokinetics of therapeutic monoclonal antibodies.

Authors:  Nathanael L Dirks; Bernd Meibohm
Journal:  Clin Pharmacokinet       Date:  2010-10       Impact factor: 6.447

Review 2.  Clinical pharmacokinetics of therapeutic monoclonal antibodies.

Authors:  Ron J Keizer; Alwin D R Huitema; Jan H M Schellens; Jos H Beijnen
Journal:  Clin Pharmacokinet       Date:  2010-08       Impact factor: 6.447

Review 3.  A survey of population analysis methods and software for complex pharmacokinetic and pharmacodynamic models with examples.

Authors:  Robert J Bauer; Serge Guzy; Chee Ng
Journal:  AAPS J       Date:  2007-03-02       Impact factor: 4.009

4.  Novel hybrid GPU-CPU implementation of parallelized Monte Carlo parametric expectation maximization estimation method for population pharmacokinetic data analysis.

Authors:  C M Ng
Journal:  AAPS J       Date:  2013-09-04       Impact factor: 4.009

Review 5.  Gaining insights into the consequences of target-mediated drug disposition of monoclonal antibodies using quasi-steady-state approximations.

Authors:  Hans Peter Grimm
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-08-30       Impact factor: 2.745

6.  Nonlinear Random Effects Mixture Models: Maximum Likelihood Estimation via the EM Algorithm.

Authors:  Xiaoning Wang; Alan Schumitzky; David Z D'Argenio
Journal:  Comput Stat Data Anal       Date:  2007-08-15       Impact factor: 1.681

7.  Development of a new pre- and post-processing tool (SADAPT-TRAN) for nonlinear mixed-effects modeling in S-ADAPT.

Authors:  Jurgen Bernd Bulitta; Ayhan Bingölbali; Beom Soo Shin; Cornelia Barbara Landersdorfer
Journal:  AAPS J       Date:  2011-03-03       Impact factor: 4.009

8.  Performance and robustness of the Monte Carlo importance sampling algorithm using parallelized S-ADAPT for basic and complex mechanistic models.

Authors:  Jurgen B Bulitta; Cornelia B Landersdorfer
Journal:  AAPS J       Date:  2011-03-04       Impact factor: 4.009

Review 9.  Pharmacokinetic/pharmacodynamic modeling in inflammation.

Authors:  Hoi-Kei Lon; Dongyang Liu; William J Jusko
Journal:  Crit Rev Biomed Eng       Date:  2012

10.  Selection between Michaelis-Menten and target-mediated drug disposition pharmacokinetic models.

Authors:  Xiaoyu Yan; Donald E Mager; Wojciech Krzyzanski
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-12-10       Impact factor: 2.745

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.