The application of mechanism-based PK/PD modeling in pharmacodynamic-based dose selection of muM17, a surrogate monoclonal antibody for efalizumab
Journal of Pharmaceutical Sciences, ISSN: 0022-3549, Vol: 95, Issue: 6, Page: 1258-1268
2006
- 27Citations
- 41Captures
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Metrics Details
- Citations27
- Citation Indexes27
- 27
- CrossRef21
- Captures41
- Readers41
- 41
Article Description
muM17 is an anti-mouse CD11a monoclonal antibody (mAb) developed as a surrogate molecule for assessing potential reproductive toxicities of efalizumab, an anti-human CD11a mAb approved for treatment of chronic moderate to severe plaque psoriasis. This article shows the use of a mechanism-based PK/PD model for muM17 to further support the determination of dose equivalency of muM17 in the mouse and efalizumab in humans based on CD11a expression on T-lymphocytes (PD). Patients in clinical studies received 1 mg/kg/week efalizumab subcutaneously for 12 weeks. In the mouse model, a single IV dose of 1 or 10 mg/kg or a single SC dose of 3, 5, or 10 mg/kg muM17 was administered. Drug concentrations and PD were quantitated using ELISA and flow cytometry (FACS) analyses, respectively. The PK/PD model of muM17 in mice was developed and was validated using sparse data from a separate multiple dose PK/PD study. The model was next used to simulate PD profiles with multiple dosing regimens mimicking those of the clinical dose of efalizumab. The model showed that 3 mg/kg/week SC administration of muM17 in mice is the minimum dose that can produce PD effects similar to those produced following 1 mg/kg/week SC of efalizumab in humans. © 2006 Wiley-Liss, Inc. and the American Pharmacists Association
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0022354916320263; http://dx.doi.org/10.1002/jps.20475; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=33745053380&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/16637054; https://linkinghub.elsevier.com/retrieve/pii/S0022354916320263; https://dx.doi.org/10.1002/jps.20475
Elsevier BV
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