Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783330881316847616 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5996525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ganesanaravindhan amathematicalmodellingtoolforunravellingtheantibodymediatedeffectsonctla4interactions AT arulrajtheinmozhi amathematicalmodellingtoolforunravellingtheantibodymediatedeffectsonctla4interactions AT choullitahir amathematicalmodellingtoolforunravellingtheantibodymediatedeffectsonctla4interactions AT barakatkhaledh amathematicalmodellingtoolforunravellingtheantibodymediatedeffectsonctla4interactions AT ganesanaravindhan mathematicalmodellingtoolforunravellingtheantibodymediatedeffectsonctla4interactions AT arulrajtheinmozhi mathematicalmodellingtoolforunravellingtheantibodymediatedeffectsonctla4interactions AT choullitahir mathematicalmodellingtoolforunravellingtheantibodymediatedeffectsonctla4interactions AT barakatkhaledh mathematicalmodellingtoolforunravellingtheantibodymediatedeffectsonctla4interactions |