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Effects of immunosuppressants on T-cell dynamics: Understanding from a generic coarse-grained immune network model
Long-term immunosuppressive therapy is a drug regimen often used to lower aggressive immune responses in various chronic inflammatory diseases. However, such long-term therapy leading to immune suppression may trigger other adverse reactions in the immune system. The rising concern regarding the opt...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734612/ https://www.ncbi.nlm.nih.gov/pubmed/36503907 http://dx.doi.org/10.1007/s12038-022-00312-4 |
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author | Nayak, Sonali Priyadarshini Bagchi, Biman Roy, Susmita |
author_facet | Nayak, Sonali Priyadarshini Bagchi, Biman Roy, Susmita |
author_sort | Nayak, Sonali Priyadarshini |
collection | PubMed |
description | Long-term immunosuppressive therapy is a drug regimen often used to lower aggressive immune responses in various chronic inflammatory diseases. However, such long-term therapy leading to immune suppression may trigger other adverse reactions in the immune system. The rising concern regarding the optimal dose and duration of such treatment has motivated us to understand non-classical immunomodulatory responses induced by various immunosuppressive steroid and secosteroid drugs such as glucocorticoid and vitamin D supplements. The immunomodulatory actions of such immunosuppressants (that govern the adaptive immune response) are often mediated through their characteristic control over CD4+ T-cells involving pro- and anti-inflammatory T-cells. Several early studies attempted to decode temporal and dose-dependent behaviors of such pro- and anti-inflammatory T-cells using the chemical dynamics approach. We first summarize these early works. Then, we develop a minimal coarse-grained kinetic network model to capture the commonality in their immunomodulatory functions. This generic model successfully reproduces the characteristic dynamical features, including the clinical latency period in long-term T-cell dynamics. The temporal behavior of T-cells is found to be sensitive to specific rate parameters and doses of immunosuppressants. The steady-state analysis reflects the transition from an early classified weakly regulated (autoimmune-prone) immune state to a strongly regulated state (immunocompromised state), separated by an intervening state of moderate/balanced regulation. An optimal dose and duration are essential in rescuing balanced immune regulation. This review elucidates how developing a simple generic coarse-grained immune network model may provide immense information that helps diagnose inefficacy in adaptive immune function before and after administering immunosuppressants such as glucocorticoid or vitamin D. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12038-022-00312-4. |
format | Online Article Text |
id | pubmed-9734612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer India |
record_format | MEDLINE/PubMed |
spelling | pubmed-97346122022-12-12 Effects of immunosuppressants on T-cell dynamics: Understanding from a generic coarse-grained immune network model Nayak, Sonali Priyadarshini Bagchi, Biman Roy, Susmita J Biosci Review Long-term immunosuppressive therapy is a drug regimen often used to lower aggressive immune responses in various chronic inflammatory diseases. However, such long-term therapy leading to immune suppression may trigger other adverse reactions in the immune system. The rising concern regarding the optimal dose and duration of such treatment has motivated us to understand non-classical immunomodulatory responses induced by various immunosuppressive steroid and secosteroid drugs such as glucocorticoid and vitamin D supplements. The immunomodulatory actions of such immunosuppressants (that govern the adaptive immune response) are often mediated through their characteristic control over CD4+ T-cells involving pro- and anti-inflammatory T-cells. Several early studies attempted to decode temporal and dose-dependent behaviors of such pro- and anti-inflammatory T-cells using the chemical dynamics approach. We first summarize these early works. Then, we develop a minimal coarse-grained kinetic network model to capture the commonality in their immunomodulatory functions. This generic model successfully reproduces the characteristic dynamical features, including the clinical latency period in long-term T-cell dynamics. The temporal behavior of T-cells is found to be sensitive to specific rate parameters and doses of immunosuppressants. The steady-state analysis reflects the transition from an early classified weakly regulated (autoimmune-prone) immune state to a strongly regulated state (immunocompromised state), separated by an intervening state of moderate/balanced regulation. An optimal dose and duration are essential in rescuing balanced immune regulation. This review elucidates how developing a simple generic coarse-grained immune network model may provide immense information that helps diagnose inefficacy in adaptive immune function before and after administering immunosuppressants such as glucocorticoid or vitamin D. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12038-022-00312-4. Springer India 2022-12-10 2022 /pmc/articles/PMC9734612/ /pubmed/36503907 http://dx.doi.org/10.1007/s12038-022-00312-4 Text en © Indian Academy of Sciences 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Review Nayak, Sonali Priyadarshini Bagchi, Biman Roy, Susmita Effects of immunosuppressants on T-cell dynamics: Understanding from a generic coarse-grained immune network model |
title | Effects of immunosuppressants on T-cell dynamics: Understanding from a generic coarse-grained immune network model |
title_full | Effects of immunosuppressants on T-cell dynamics: Understanding from a generic coarse-grained immune network model |
title_fullStr | Effects of immunosuppressants on T-cell dynamics: Understanding from a generic coarse-grained immune network model |
title_full_unstemmed | Effects of immunosuppressants on T-cell dynamics: Understanding from a generic coarse-grained immune network model |
title_short | Effects of immunosuppressants on T-cell dynamics: Understanding from a generic coarse-grained immune network model |
title_sort | effects of immunosuppressants on t-cell dynamics: understanding from a generic coarse-grained immune network model |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734612/ https://www.ncbi.nlm.nih.gov/pubmed/36503907 http://dx.doi.org/10.1007/s12038-022-00312-4 |
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