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A mathematical analysis of rebound in a target-mediated drug disposition model: II. With feedback

We consider the possibility of free receptor (antigen/cytokine) levels rebounding to higher than the baseline level after the application of an antibody drug using a target-mediated drug disposition model. It is assumed that the receptor synthesis rate experiences homeostatic feedback from the recep...

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Autores principales: Aston, Philip J., Derks, Gianne, Agoram, Balaji M., van der Graaf, Piet H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487209/
https://www.ncbi.nlm.nih.gov/pubmed/27832321
http://dx.doi.org/10.1007/s00285-016-1073-6
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author Aston, Philip J.
Derks, Gianne
Agoram, Balaji M.
van der Graaf, Piet H.
author_facet Aston, Philip J.
Derks, Gianne
Agoram, Balaji M.
van der Graaf, Piet H.
author_sort Aston, Philip J.
collection PubMed
description We consider the possibility of free receptor (antigen/cytokine) levels rebounding to higher than the baseline level after the application of an antibody drug using a target-mediated drug disposition model. It is assumed that the receptor synthesis rate experiences homeostatic feedback from the receptor levels. It is shown for a very fast feedback response, that the occurrence of rebound is determined by the ratio of the elimination rates, in a very similar way as for no feedback. However, for a slow feedback response, there will always be rebound. This result is illustrated with an example involving the drug efalizumab for patients with psoriasis. It is shown that slow feedback can be a plausible explanation for the observed rebound in this example.
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spelling pubmed-54872092017-07-17 A mathematical analysis of rebound in a target-mediated drug disposition model: II. With feedback Aston, Philip J. Derks, Gianne Agoram, Balaji M. van der Graaf, Piet H. J Math Biol Article We consider the possibility of free receptor (antigen/cytokine) levels rebounding to higher than the baseline level after the application of an antibody drug using a target-mediated drug disposition model. It is assumed that the receptor synthesis rate experiences homeostatic feedback from the receptor levels. It is shown for a very fast feedback response, that the occurrence of rebound is determined by the ratio of the elimination rates, in a very similar way as for no feedback. However, for a slow feedback response, there will always be rebound. This result is illustrated with an example involving the drug efalizumab for patients with psoriasis. It is shown that slow feedback can be a plausible explanation for the observed rebound in this example. Springer Berlin Heidelberg 2016-11-10 2017 /pmc/articles/PMC5487209/ /pubmed/27832321 http://dx.doi.org/10.1007/s00285-016-1073-6 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Aston, Philip J.
Derks, Gianne
Agoram, Balaji M.
van der Graaf, Piet H.
A mathematical analysis of rebound in a target-mediated drug disposition model: II. With feedback
title A mathematical analysis of rebound in a target-mediated drug disposition model: II. With feedback
title_full A mathematical analysis of rebound in a target-mediated drug disposition model: II. With feedback
title_fullStr A mathematical analysis of rebound in a target-mediated drug disposition model: II. With feedback
title_full_unstemmed A mathematical analysis of rebound in a target-mediated drug disposition model: II. With feedback
title_short A mathematical analysis of rebound in a target-mediated drug disposition model: II. With feedback
title_sort mathematical analysis of rebound in a target-mediated drug disposition model: ii. with feedback
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487209/
https://www.ncbi.nlm.nih.gov/pubmed/27832321
http://dx.doi.org/10.1007/s00285-016-1073-6
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