Literature DB >> 19934031

Pharmacokinetics and pharmacodynamics of a chimeric/humanized anti-CD3 monoclonal antibody, otelixizumab (TRX4), in subjects with psoriasis and with type 1 diabetes mellitus.

Pawel Wiczling1, Michael Rosenzweig, Louis Vaickus, William J Jusko.   

Abstract

Otelixizumab is an aglycosylated chimeric/humanized monoclonal antibody (mAb) directed to human CD3epsilon. This report describes population pharmacokinetics/pharmacodynamic (PK/PD) modeling of serum otelixizumab concentrations, changes in CD4+ and CD8+ T-cell counts, and modulation and saturation of CD3/T-cell receptors (TCR) (determined by flow cytometry) after IV administration of otelixizumab in subjects with either type 1 diabetes or psoriasis. Otelixizumab PK were monoexponential with Michaelis-Menten elimination. Nonlinearity was manifested at high concentrations (K(m) = 0.968 microg/mL). Lymphocyte dynamics were captured by an indirect response model simplified to direct inhibition. In diabetic subjects, the otelixizumab serum concentration producing a 50% decrease in peripheral blood counts was 0.0187 microg/mL for CD4+ T cells and 0.0120 microg/mL for CD8+ T cells. Corresponding values for psoriatic subjects were much lower: 0.000533 for CD4+ T cells and 0.000269 microg/mL for CD8+ T cells. Total (sum of unbound and otelixizumab-bound) CD3/TCR was approximately equal to unbound CD3/TCR, suggesting that there were few otelixizumab-(CD3/TCR) complexes at the T-cell surface. Down-modulation of CD3/TCR was described by direct inhibition. Otelixizumab concentrations producing 50% reduction in free CD3/TCR sites was similar for diabetes and psoriasis, 0.0144 and 0.0162 microg/mL. Integrated PK/PD models were successfully applied to assess otelixizumab PK and diverse PD responses.

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Year:  2009        PMID: 19934031     DOI: 10.1177/0091270009349376

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  15 in total

1.  Target engagement and cellular fate of otelixizumab: a repeat dose escalation study of an anti-CD3ε mAb in new-onset type 1 diabetes mellitus patients.

Authors:  Georgios Vlasakakis; Antonella Napolitano; Ruth Barnard; Kim Brown; Jonathan Bullman; David Inman; Bart Keymeulen; David Lanham; Quentin Leirens; Alexander MacDonald; Enrica Mezzalana; Kevin Page; Minesh Patel; Caroline O Savage; Stefano Zamuner; Andre van Maurik
Journal:  Br J Clin Pharmacol       Date:  2019-02-05       Impact factor: 4.335

2.  Development of a stable low-dose aglycosylated antibody formulation to minimize protein loss during intravenous administration.

Authors:  Sorina Morar-Mitrica; Manasi Puri; Alexandra Beumer Sassi; Joshua Fuller; Ping Hu; George Crotts; Douglas Nesta
Journal:  MAbs       Date:  2015       Impact factor: 5.857

3.  Physiologically-based modeling to predict the clinical behavior of monoclonal antibodies directed against lymphocyte antigens.

Authors:  Patrick M Glassman; Joseph P Balthasar
Journal:  MAbs       Date:  2016-11-28       Impact factor: 5.857

Review 4.  Therapeutic approaches for celiac disease.

Authors:  Nicholas M Plugis; Chaitan Khosla
Journal:  Best Pract Res Clin Gastroenterol       Date:  2015-05-09       Impact factor: 3.043

Review 5.  Pharmacokinetic/pharmacodynamic modeling in inflammation.

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

6.  Monoclonal antibody disposition: a simplified PBPK model and its implications for the derivation and interpretation of classical compartment models.

Authors:  Ludivine Fronton; Sabine Pilari; Wilhelm Huisinga
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-02-04       Impact factor: 2.745

Review 7.  Influence of Antigen Mass on the Pharmacokinetics of Therapeutic Antibodies in Humans.

Authors:  David Ternant; Nicolas Azzopardi; William Raoul; Theodora Bejan-Angoulvant; Gilles Paintaud
Journal:  Clin Pharmacokinet       Date:  2019-02       Impact factor: 6.447

Review 8.  Physiologically-based modeling of monoclonal antibody pharmacokinetics in drug discovery and development.

Authors:  Patrick M Glassman; Joseph P Balthasar
Journal:  Drug Metab Pharmacokinet       Date:  2018-11-22       Impact factor: 3.614

9.  T cell receptor (TCR) signal strength controls arthritis severity in proteoglycan-specific TCR transgenic mice.

Authors:  K Olasz; F Boldizsar; K Kis-Toth; O Tarjanyi; A Hegyi; W van Eden; T A Rauch; K Mikecz; T T Glant
Journal:  Clin Exp Immunol       Date:  2012-02       Impact factor: 4.330

Review 10.  With or without sugar? (A)glycosylation of therapeutic antibodies.

Authors:  Dmitrij Hristodorov; Rainer Fischer; Lars Linden
Journal:  Mol Biotechnol       Date:  2013-07       Impact factor: 2.695

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