2016
DOI: 10.1016/j.dmpk.2015.12.007
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PK/PD analysis of a novel pH-dependent antigen-binding antibody using a dynamic antibody–antigen binding model

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Cited by 9 publications
(10 citation statements)
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“…In order to identify mutations that improve the C5-binding property, we expressed more than 1,000 antibody variants, each containing a single mutation through the COSMO approach, as described in Materials & Methods. In this way, we identified mutations that increased the association rate, which are crucial for our desired pH-dependent C5-binding antibody [16] but are difficult to identify by simple panning methods from display libraries. In parallel, we also identified mutations that did not affect the C5-binding property and could therefore be useful for further antibody engineering, such as surface-charge engineering, improving stability, and reducing immunogenicity.…”
Section: Resultsmentioning
confidence: 99%
“…In order to identify mutations that improve the C5-binding property, we expressed more than 1,000 antibody variants, each containing a single mutation through the COSMO approach, as described in Materials & Methods. In this way, we identified mutations that increased the association rate, which are crucial for our desired pH-dependent C5-binding antibody [16] but are difficult to identify by simple panning methods from display libraries. In parallel, we also identified mutations that did not affect the C5-binding property and could therefore be useful for further antibody engineering, such as surface-charge engineering, improving stability, and reducing immunogenicity.…”
Section: Resultsmentioning
confidence: 99%
“…Next, we tested if our model could capture the benefit of a recycling antibody PH-IgG 1 in target suppression in comparison to its pH-independent counterpart NPH-IgG 1 . Both antibodies were co-injected with the human antigen hsIL6-R into hFcRn Tg32 homozygous transgenic mice (14). These two antibodies exhibited similar plasma profiles.…”
Section: Resultsmentioning
confidence: 99%
“…Prediction of hsIL6-R profiles in hFcRn transgenic mice was conducted similarly to the TNF-α case in humans. Since each antibody binds two hsIL6-R (14), the target concentration was divided by two in the model equations. Systemic clearance of free target was obtained from a pharmacokinetic study in healthy mice (8).…”
Section: Resultsmentioning
confidence: 99%
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“…To further interrogate the potential utility of the antigen sweeping mechanism to enhance target suppression, Haraya et al implemented a modified dynamic antibody-antigen binding target-mediated drug disposition model. 29 The model incorporated empirically-derived composite parameters that represented uptake clearance and differential recycling of antibody in the antibody-target complex. Although this model was able to capture the observed phenotype for the sweeping mechanism, the capacity of such a model to address pertinent questions related to a priori identification of optimal antibody properties was confounded by the model's simplicity.…”
Section: Discussionmentioning
confidence: 99%