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A mathematical modelling tool for unravelling the antibody-mediated effects on CTLA-4 interactions

BACKGROUND: Monoclonal antibodies blocking the Cytotoxic T-lymphocyte antigen 4 (CTLA-4) receptor have revolutionized the field of anti-cancer therapy for the last few years. The human T-cell-based immune responses are modulated by two contradicting signals. CTLA-4 provides a T cell inhibitory signa...

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Autores principales: Ganesan, Aravindhan, Arulraj, Theinmozhi, Choulli, Tahir, Barakat, Khaled H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996525/
https://www.ncbi.nlm.nih.gov/pubmed/29890992
http://dx.doi.org/10.1186/s12911-018-0606-x
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author Ganesan, Aravindhan
Arulraj, Theinmozhi
Choulli, Tahir
Barakat, Khaled H.
author_facet Ganesan, Aravindhan
Arulraj, Theinmozhi
Choulli, Tahir
Barakat, Khaled H.
author_sort Ganesan, Aravindhan
collection PubMed
description BACKGROUND: Monoclonal antibodies blocking the Cytotoxic T-lymphocyte antigen 4 (CTLA-4) receptor have revolutionized the field of anti-cancer therapy for the last few years. The human T-cell-based immune responses are modulated by two contradicting signals. CTLA-4 provides a T cell inhibitory signal through its interaction with B7 ligands (B7–1 and B7–2), while CD28 provides a stimulatory signal when interacting with the same ligands. A previous theoretical model has focused on understanding the processes of costimulatory and inhibitory complex formations at the synapse. Nevertheless, the effects of monoclonal antibody (mAb)-mediation on these complexes are relatively unexplored. In this work, we expand on the previous model to develop a new mathematical framework for studying the effects of anti-CTLA-4 mAbs on the co-stimulatory (CD28/B7 ligands) and the co-inhibitory (CTLA-4/B7 ligands) complex formation at the immunological synapse. In particular, we focus on two promising anti-CTLA-4 mAbs, tremelimumab (from AstraZeneca) and ipilimumab (from Bristol-Myers Squibb), which are currently in clinical trials and the market, respectively, for targeting multiple tumors. METHODS: The mathematical model in this work has been constructed based on ordinary differential equations and available experimental binding kinetics data for the anti-CTLA-4 antibodies from literature. RESULTS: The numerical simulations from the current model are in agreement with a number of experimental data. Especially, the dose-curves for blocking the B7 ligand binding to CTLA-4 by ipilimumab are comparable with the results from a previous competitive binding assay by flow cytometry and ELISA. Our simulations predict the dose response and the relative efficacies of the two mAbs in blocking the inhibitory CTLA-4/B7 complexes. CONCLUSIONS: The results show that different factors, such as multivalent interactions, mobility of molecules and competition effects, could impact the effects of antibody-mediation. The results, in particular, describe that the competitive effects could impact the dose-dependent inhibition by the mAbs very significantly. We present this model as a useful tool that can easily be translated to study the effects of any anti-CTLA-4 antibodies on immunological synaptic complex formation, provided reliable biophysical data for mAbs are available. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12911-018-0606-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-59965252018-06-25 A mathematical modelling tool for unravelling the antibody-mediated effects on CTLA-4 interactions Ganesan, Aravindhan Arulraj, Theinmozhi Choulli, Tahir Barakat, Khaled H. BMC Med Inform Decis Mak Research Article BACKGROUND: Monoclonal antibodies blocking the Cytotoxic T-lymphocyte antigen 4 (CTLA-4) receptor have revolutionized the field of anti-cancer therapy for the last few years. The human T-cell-based immune responses are modulated by two contradicting signals. CTLA-4 provides a T cell inhibitory signal through its interaction with B7 ligands (B7–1 and B7–2), while CD28 provides a stimulatory signal when interacting with the same ligands. A previous theoretical model has focused on understanding the processes of costimulatory and inhibitory complex formations at the synapse. Nevertheless, the effects of monoclonal antibody (mAb)-mediation on these complexes are relatively unexplored. In this work, we expand on the previous model to develop a new mathematical framework for studying the effects of anti-CTLA-4 mAbs on the co-stimulatory (CD28/B7 ligands) and the co-inhibitory (CTLA-4/B7 ligands) complex formation at the immunological synapse. In particular, we focus on two promising anti-CTLA-4 mAbs, tremelimumab (from AstraZeneca) and ipilimumab (from Bristol-Myers Squibb), which are currently in clinical trials and the market, respectively, for targeting multiple tumors. METHODS: The mathematical model in this work has been constructed based on ordinary differential equations and available experimental binding kinetics data for the anti-CTLA-4 antibodies from literature. RESULTS: The numerical simulations from the current model are in agreement with a number of experimental data. Especially, the dose-curves for blocking the B7 ligand binding to CTLA-4 by ipilimumab are comparable with the results from a previous competitive binding assay by flow cytometry and ELISA. Our simulations predict the dose response and the relative efficacies of the two mAbs in blocking the inhibitory CTLA-4/B7 complexes. CONCLUSIONS: The results show that different factors, such as multivalent interactions, mobility of molecules and competition effects, could impact the effects of antibody-mediation. The results, in particular, describe that the competitive effects could impact the dose-dependent inhibition by the mAbs very significantly. We present this model as a useful tool that can easily be translated to study the effects of any anti-CTLA-4 antibodies on immunological synaptic complex formation, provided reliable biophysical data for mAbs are available. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12911-018-0606-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-11 /pmc/articles/PMC5996525/ /pubmed/29890992 http://dx.doi.org/10.1186/s12911-018-0606-x Text en © The Author(s). 2018 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ganesan, Aravindhan
Arulraj, Theinmozhi
Choulli, Tahir
Barakat, Khaled H.
A mathematical modelling tool for unravelling the antibody-mediated effects on CTLA-4 interactions
title A mathematical modelling tool for unravelling the antibody-mediated effects on CTLA-4 interactions
title_full A mathematical modelling tool for unravelling the antibody-mediated effects on CTLA-4 interactions
title_fullStr A mathematical modelling tool for unravelling the antibody-mediated effects on CTLA-4 interactions
title_full_unstemmed A mathematical modelling tool for unravelling the antibody-mediated effects on CTLA-4 interactions
title_short A mathematical modelling tool for unravelling the antibody-mediated effects on CTLA-4 interactions
title_sort mathematical modelling tool for unravelling the antibody-mediated effects on ctla-4 interactions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996525/
https://www.ncbi.nlm.nih.gov/pubmed/29890992
http://dx.doi.org/10.1186/s12911-018-0606-x
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