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The Role of the Human Immune System in the Aging Process: a Mathematical Model of Cell and Cytokine Activation
The role of the human immune system as a factor in the aging process has led to extensive research in the field of infection biology and bioinformatics. Cell-based mathematical models have previously been used to simulate the immune system in response to pathogens. A variety of cells, such as activa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8681561/ http://dx.doi.org/10.1093/geroni/igab046.2546 |
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author | Talaei, Kian Garan, Steven Martins, Nuno Cho, Joshua Jahansooz, Julia Bhullar, Puneet Suen, Elliott Piszker, Walter |
author_facet | Talaei, Kian Garan, Steven Martins, Nuno Cho, Joshua Jahansooz, Julia Bhullar, Puneet Suen, Elliott Piszker, Walter |
author_sort | Talaei, Kian |
collection | PubMed |
description | The role of the human immune system as a factor in the aging process has led to extensive research in the field of infection biology and bioinformatics. Cell-based mathematical models have previously been used to simulate the immune system in response to pathogens. A variety of cells, such as activated and resting macrophages, plasma cells, antibodies, helper T cells, T-lymphocytes, and B-lymphocytes, have already been simulated by mathematical models. This work aims to incorporate cytokines in these mathematical models to create a more comprehensive simulation that can predict cytokine levels in response to a Gram-positive bacterium, S. aureus. To accomplish this, the cytokines Tumor Necrosis Factor Alpha (TNF-α), Interleukin 6 (IL-6), Interleukin 8 (IL-8), and Interleukin 10 (IL-10) were studied to quantify the relationship between cytokine release from macrophages and the concentration of the pathogen, S. aureus ex vivo. The results of the simulation were compared to ex vivo human whole blood data to test its accuracy. The future expansion of this model may provide a clearer image of the various interactions within the immune system and this improved model of the immune system may also facilitate a better understanding of the mechanisms that lead to the degradation of the immune system during the aging process. |
format | Online Article Text |
id | pubmed-8681561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86815612021-12-17 The Role of the Human Immune System in the Aging Process: a Mathematical Model of Cell and Cytokine Activation Talaei, Kian Garan, Steven Martins, Nuno Cho, Joshua Jahansooz, Julia Bhullar, Puneet Suen, Elliott Piszker, Walter Innov Aging Abstracts The role of the human immune system as a factor in the aging process has led to extensive research in the field of infection biology and bioinformatics. Cell-based mathematical models have previously been used to simulate the immune system in response to pathogens. A variety of cells, such as activated and resting macrophages, plasma cells, antibodies, helper T cells, T-lymphocytes, and B-lymphocytes, have already been simulated by mathematical models. This work aims to incorporate cytokines in these mathematical models to create a more comprehensive simulation that can predict cytokine levels in response to a Gram-positive bacterium, S. aureus. To accomplish this, the cytokines Tumor Necrosis Factor Alpha (TNF-α), Interleukin 6 (IL-6), Interleukin 8 (IL-8), and Interleukin 10 (IL-10) were studied to quantify the relationship between cytokine release from macrophages and the concentration of the pathogen, S. aureus ex vivo. The results of the simulation were compared to ex vivo human whole blood data to test its accuracy. The future expansion of this model may provide a clearer image of the various interactions within the immune system and this improved model of the immune system may also facilitate a better understanding of the mechanisms that lead to the degradation of the immune system during the aging process. Oxford University Press 2021-12-17 /pmc/articles/PMC8681561/ http://dx.doi.org/10.1093/geroni/igab046.2546 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Talaei, Kian Garan, Steven Martins, Nuno Cho, Joshua Jahansooz, Julia Bhullar, Puneet Suen, Elliott Piszker, Walter The Role of the Human Immune System in the Aging Process: a Mathematical Model of Cell and Cytokine Activation |
title | The Role of the Human Immune System in the Aging Process: a Mathematical Model of Cell and Cytokine Activation |
title_full | The Role of the Human Immune System in the Aging Process: a Mathematical Model of Cell and Cytokine Activation |
title_fullStr | The Role of the Human Immune System in the Aging Process: a Mathematical Model of Cell and Cytokine Activation |
title_full_unstemmed | The Role of the Human Immune System in the Aging Process: a Mathematical Model of Cell and Cytokine Activation |
title_short | The Role of the Human Immune System in the Aging Process: a Mathematical Model of Cell and Cytokine Activation |
title_sort | role of the human immune system in the aging process: a mathematical model of cell and cytokine activation |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8681561/ http://dx.doi.org/10.1093/geroni/igab046.2546 |
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