The role of delays in innate and adaptive immunity to intracellular bacterial infection

The immune response in humans is complex and multi-fold. Initially an innate response attempts to clear any invasion by microbes. If it fails to clear or contain the pathogen, an adaptive response follows that is specific for the microbe and in most cases is successful at eliminating the pathogen. I...

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Main Authors: Simeone Marino, Edoardo Beretta, Denise E. Kirschner
Format: Article
Language:English
Published: AIMS Press 2007-01-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2007.4.261
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author Simeone Marino
Edoardo Beretta
Denise E. Kirschner
author_facet Simeone Marino
Edoardo Beretta
Denise E. Kirschner
author_sort Simeone Marino
collection DOAJ
description The immune response in humans is complex and multi-fold. Initially an innate response attempts to clear any invasion by microbes. If it fails to clear or contain the pathogen, an adaptive response follows that is specific for the microbe and in most cases is successful at eliminating the pathogen. In previous work we developed a delay differential equations (DDEs) model of the innate and adaptive immune response to intracellular bacteria infection. We addressed the relevance of known delays in each of these responses by exploring different kernel and delay functions and tested how each affected infection outcome. Our results indicated how local stability properties for the two infection outcomes, namely a boundary equilibrium and an interior positive equilibrium, were completely dependent on the delays for innate immunity and independent of the delays for adaptive immunity. In the present work we have three goals. The first is to extend the previous model to account for direct bacterial killing by adaptive immunity. This reflects, for example, active killing by a class of cells known as macrophages, and will allow us to determine the relevance of delays for adaptive immunity. We present analytical results in this setting. Second, we implement a heuristic argument to investigate the existence of stability switches for the positive equilibrium in the manifold defined by the two delays.Third, we apply a novel analysis in the setting of DDEs known as uncertainty and sensitivity analysis. This allows us to evaluate completely the role of all parameters in the model. This includes identifying effects of stability switch parameters on infection outcome.
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spelling doaj-art-252424ed3c6f47a0a87e85055db724102025-01-24T01:53:27ZengAIMS PressMathematical Biosciences and Engineering1551-00182007-01-014226128610.3934/mbe.2007.4.261The role of delays in innate and adaptive immunity to intracellular bacterial infectionSimeone Marino0Edoardo Beretta1Denise E. Kirschner2Dept. of Microbiology and Immunology, University of Michigan Medical School, 6730 Med. Sci. Bldg. II, Ann Arbor, MI 48109-0620Dept. of Microbiology and Immunology, University of Michigan Medical School, 6730 Med. Sci. Bldg. II, Ann Arbor, MI 48109-0620Dept. of Microbiology and Immunology, University of Michigan Medical School, 6730 Med. Sci. Bldg. II, Ann Arbor, MI 48109-0620The immune response in humans is complex and multi-fold. Initially an innate response attempts to clear any invasion by microbes. If it fails to clear or contain the pathogen, an adaptive response follows that is specific for the microbe and in most cases is successful at eliminating the pathogen. In previous work we developed a delay differential equations (DDEs) model of the innate and adaptive immune response to intracellular bacteria infection. We addressed the relevance of known delays in each of these responses by exploring different kernel and delay functions and tested how each affected infection outcome. Our results indicated how local stability properties for the two infection outcomes, namely a boundary equilibrium and an interior positive equilibrium, were completely dependent on the delays for innate immunity and independent of the delays for adaptive immunity. In the present work we have three goals. The first is to extend the previous model to account for direct bacterial killing by adaptive immunity. This reflects, for example, active killing by a class of cells known as macrophages, and will allow us to determine the relevance of delays for adaptive immunity. We present analytical results in this setting. Second, we implement a heuristic argument to investigate the existence of stability switches for the positive equilibrium in the manifold defined by the two delays.Third, we apply a novel analysis in the setting of DDEs known as uncertainty and sensitivity analysis. This allows us to evaluate completely the role of all parameters in the model. This includes identifying effects of stability switch parameters on infection outcome.https://www.aimspress.com/article/doi/10.3934/mbe.2007.4.261delay differential equations modeluncertainty and sensitivity analysis.bacterial infectionsinnate and adaptive immunity
spellingShingle Simeone Marino
Edoardo Beretta
Denise E. Kirschner
The role of delays in innate and adaptive immunity to intracellular bacterial infection
Mathematical Biosciences and Engineering
delay differential equations model
uncertainty and sensitivity analysis.
bacterial infections
innate and adaptive immunity
title The role of delays in innate and adaptive immunity to intracellular bacterial infection
title_full The role of delays in innate and adaptive immunity to intracellular bacterial infection
title_fullStr The role of delays in innate and adaptive immunity to intracellular bacterial infection
title_full_unstemmed The role of delays in innate and adaptive immunity to intracellular bacterial infection
title_short The role of delays in innate and adaptive immunity to intracellular bacterial infection
title_sort role of delays in innate and adaptive immunity to intracellular bacterial infection
topic delay differential equations model
uncertainty and sensitivity analysis.
bacterial infections
innate and adaptive immunity
url https://www.aimspress.com/article/doi/10.3934/mbe.2007.4.261
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