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Effects of immunosuppressants on T-cell dynamics: Understanding from a generic coarse-grained immune network model

Nayak, SP and Bagchi, B and Roy, S (2022) Effects of immunosuppressants on T-cell dynamics: Understanding from a generic coarse-grained immune network model. In: Journal of Biosciences, 47 (4).

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Official URL: https://doi.org/10.1007/s12038-022-00312-4

Abstract

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. © 2022, Indian Academy of Sciences.

Item Type: Journal Article
Publication: Journal of Biosciences
Publisher: Springer
Additional Information: The copyright for this article belongs to the Author(s).
Keywords: cell; immune response; immune system; modeling; steroid; vitamin
Department/Centre: Division of Chemical Sciences > Solid State & Structural Chemistry Unit
Date Deposited: 17 Jan 2023 09:49
Last Modified: 17 Jan 2023 09:49
URI: https://eprints.iisc.ac.in/id/eprint/79189

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