Literature DB >> 21119226

Analysing saturable antibody binding based on serum data and pharmacokinetic modelling.

Peter Kletting1, Hady Kiryakos, Sven N Reske, Gerhard Glatting.   

Abstract

In radioimmunotherapy, organ dose calculations are frequently based on pretherapeutic biodistribution measurements, assuming equivalence between pretherapeutic and therapeutic biodistribution. However, when saturation of antibody binding sites is important, this assumption might not be justified. Residual antibody and different amounts of administered antibody may lead to a considerably altered therapeutic biodistribution. In this study we developed a method based on serum activity measurements to investigate this effect in radioimmunotherapy with (90)Y-labelled anti-CD66 antibody. Pretherapeutic and therapeutic serum activity data of ten patients with acute leukaemia were fitted to a set of four parsimonious pharmacokinetic models. All models included the key mechanisms of antibody binding, immunoreactivity and degradation; however, they differed with respect to linear or nonlinear binding and global or individual fitting of the model parameters. The empirically most supported model was chosen according to the corrected Akaike information criterion. The nonlinear models were most supported by the data (sum of probabilities approximately 100%). Using the presented method, we identified relevant saturable binding for radioimmunotherapy with (90)Y-labelled anti-CD66 antibody solely based on serum data. This general method may also be applicable to investigate other systems where saturation of binding sites might be important.

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Year:  2010        PMID: 21119226     DOI: 10.1088/0031-9155/56/1/005

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  1 in total

1.  Physiologically Based Pharmacokinetic Modeling Is Essential in 90Y-Labeled Anti-CD66 Radioimmunotherapy.

Authors:  Peter Kletting; Christian Maaß; Sven Reske; Ambros J Beer; Gerhard Glatting
Journal:  PLoS One       Date:  2015-05-26       Impact factor: 3.240

  1 in total

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