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Kinetic and Dynamic Computational Model-Based Characterization of New Proteins in Mice: Application to Interferon Alpha Linked to Apolipoprotein A-I

Interferon alpha linked to apolipoprotein A-I has been recently proposed as an improved interferon-based therapy. In the present study, we aimed to develop a computational model to gain further insight into the in vivo behaviour of this new fusion protein. In order to facilitate in vivo evaluation o...

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Autores principales: Parra-Guillen, Zinnia Patricia, Fioravanti, Jessica, Medina-Echeverz, Jose, Gomar, Celia, Ardaiz, Nuria, Troconiz, Iñaki F., Berraondo, Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3407104/
https://www.ncbi.nlm.nih.gov/pubmed/22848716
http://dx.doi.org/10.1371/journal.pone.0042100
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author Parra-Guillen, Zinnia Patricia
Fioravanti, Jessica
Medina-Echeverz, Jose
Gomar, Celia
Ardaiz, Nuria
Troconiz, Iñaki F.
Berraondo, Pedro
author_facet Parra-Guillen, Zinnia Patricia
Fioravanti, Jessica
Medina-Echeverz, Jose
Gomar, Celia
Ardaiz, Nuria
Troconiz, Iñaki F.
Berraondo, Pedro
author_sort Parra-Guillen, Zinnia Patricia
collection PubMed
description Interferon alpha linked to apolipoprotein A-I has been recently proposed as an improved interferon-based therapy. In the present study, we aimed to develop a computational model to gain further insight into the in vivo behaviour of this new fusion protein. In order to facilitate in vivo evaluation of interferon and the fusion protein without altering their biological properties, green fluorescent protein was incorporated into their structures. Kinetic and dynamic behaviour of both compounds was successfully described after plasmid hydrodynamic administration and in situ synthesis of the studied proteins. Results from the modelling exercise showed that apolipoprotein A-I conferred a modified kinetic behaviour, varying molecule distribution and prolonging half-life without altering liver dynamic performance. However, differences in the gene expression activity were observed at brain level between both compounds. Those differences could be explained by modifications in the dynamic, but also in the biodistribution properties, which would be worth evaluating in future experiments. Therefore, the modelling approach provided a global comprehension of a complex system and allowed us to compare the in vivo behaviour of both compounds and to identify critical aspects that might be important to understand the system better and suggests a need for new model-based experiments.
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spelling pubmed-34071042012-07-30 Kinetic and Dynamic Computational Model-Based Characterization of New Proteins in Mice: Application to Interferon Alpha Linked to Apolipoprotein A-I Parra-Guillen, Zinnia Patricia Fioravanti, Jessica Medina-Echeverz, Jose Gomar, Celia Ardaiz, Nuria Troconiz, Iñaki F. Berraondo, Pedro PLoS One Research Article Interferon alpha linked to apolipoprotein A-I has been recently proposed as an improved interferon-based therapy. In the present study, we aimed to develop a computational model to gain further insight into the in vivo behaviour of this new fusion protein. In order to facilitate in vivo evaluation of interferon and the fusion protein without altering their biological properties, green fluorescent protein was incorporated into their structures. Kinetic and dynamic behaviour of both compounds was successfully described after plasmid hydrodynamic administration and in situ synthesis of the studied proteins. Results from the modelling exercise showed that apolipoprotein A-I conferred a modified kinetic behaviour, varying molecule distribution and prolonging half-life without altering liver dynamic performance. However, differences in the gene expression activity were observed at brain level between both compounds. Those differences could be explained by modifications in the dynamic, but also in the biodistribution properties, which would be worth evaluating in future experiments. Therefore, the modelling approach provided a global comprehension of a complex system and allowed us to compare the in vivo behaviour of both compounds and to identify critical aspects that might be important to understand the system better and suggests a need for new model-based experiments. Public Library of Science 2012-07-27 /pmc/articles/PMC3407104/ /pubmed/22848716 http://dx.doi.org/10.1371/journal.pone.0042100 Text en © 2012 Parra-Guillen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Parra-Guillen, Zinnia Patricia
Fioravanti, Jessica
Medina-Echeverz, Jose
Gomar, Celia
Ardaiz, Nuria
Troconiz, Iñaki F.
Berraondo, Pedro
Kinetic and Dynamic Computational Model-Based Characterization of New Proteins in Mice: Application to Interferon Alpha Linked to Apolipoprotein A-I
title Kinetic and Dynamic Computational Model-Based Characterization of New Proteins in Mice: Application to Interferon Alpha Linked to Apolipoprotein A-I
title_full Kinetic and Dynamic Computational Model-Based Characterization of New Proteins in Mice: Application to Interferon Alpha Linked to Apolipoprotein A-I
title_fullStr Kinetic and Dynamic Computational Model-Based Characterization of New Proteins in Mice: Application to Interferon Alpha Linked to Apolipoprotein A-I
title_full_unstemmed Kinetic and Dynamic Computational Model-Based Characterization of New Proteins in Mice: Application to Interferon Alpha Linked to Apolipoprotein A-I
title_short Kinetic and Dynamic Computational Model-Based Characterization of New Proteins in Mice: Application to Interferon Alpha Linked to Apolipoprotein A-I
title_sort kinetic and dynamic computational model-based characterization of new proteins in mice: application to interferon alpha linked to apolipoprotein a-i
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3407104/
https://www.ncbi.nlm.nih.gov/pubmed/22848716
http://dx.doi.org/10.1371/journal.pone.0042100
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