Mathematical modelling of autoimmune myocarditis and the effects of immune checkpoint inhibitors
| Autor: | van der Vegt, S, Polonchuk, L, Wang, K, Waters, SL, Baker, RE |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Statistics and Probability
Myocarditis General Immunology and Microbiology Applied Mathematics Modeling and Simulation Neoplasms Humans General Medicine Models Theoretical General Agricultural and Biological Sciences Immune Checkpoint Inhibitors General Biochemistry Genetics and Molecular Biology Cardiotoxicity |
| DOI: | 10.1016/j.jtbi.2021.111002 |
| Popis: | Autoimmune myocarditis is a rare, but frequently fatal, side effect of immune checkpoint inhibitors (ICIs), a class of cancer therapies. Despite extensive experimental work on the causes, development and progression of this disease, much still remains unknown about the importance of the different immunological pathways involved. We present a mathematical model of autoimmune myocarditis and the effects of ICIs on its development and progression to either resolution or chronic inflammation. From this, we gain a better understanding of the role of immune cells, cytokines and other components of the immune system in driving the cardiotoxicity of ICIs. We parameterise the model using existing data from the literature, and show that qualitative model behaviour is consistent with disease characteristics seen in patients in an ICI-free context. The bifurcation structures of the model show how the presence of ICIs increases the risk of developing autoimmune myocarditis. This predictive modelling approach is a first step towards determining treatment regimens that balance the benefits of treating cancer with the risk of developing autoimmune myocarditis. |
| Databáze: | OpenAIRE |
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