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Talaei K, Garan SA, Quintela BDM, Olufsen MS, Cho J, Jahansooz JR, Bhullar PK, Suen EK, Piszker WJ, Martins NRB, Moreira de Paula MA, Dos Santos RW, Lobosco M. A Mathematical Model of the Dynamics of Cytokine Expression and Human Immune Cell Activation in Response to the Pathogen Staphylococcus aureus. Front Cell Infect Microbiol 2021; 11:711153. [PMID: 34869049 PMCID: PMC8633844 DOI: 10.3389/fcimb.2021.711153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 10/14/2021] [Indexed: 11/13/2022] Open
Abstract
Cell-based mathematical models have previously been developed to simulate the immune system in response to pathogens. Mathematical modeling papers which study the human immune response to pathogens have predicted concentrations of a variety of cells, including activated and resting macrophages, plasma cells, and antibodies. This study aims to create a comprehensive mathematical model that can predict cytokine levels in response to a gram-positive bacterium, S. aureus by coupling previous models. To accomplish this, the cytokines Tumor Necrosis Factor Alpha (TNF-α), Interleukin 6 (IL-6), Interleukin 8 (IL-8), and Interleukin 10 (IL-10) are included to quantify the relationship between cytokine release from macrophages and the concentration of the pathogen, S. aureus, ex vivo. Partial differential equations (PDEs) are used to model cellular response and ordinary differential equations (ODEs) are used to model cytokine response, and interactions between both components produce a more robust and more complete systems-level understanding of immune activation. In the coupled cellular and cytokine model outlined in this paper, a low concentration of S. aureus is used to stimulate the measured cellular response and cytokine expression. Results show that our cellular activation and cytokine expression model characterizing septic conditions can predict ex vivo mechanisms in response to gram-negative and gram-positive bacteria. Our simulations provide new insights into how the human immune system responds to infections from different pathogens. Novel applications of these insights help in the development of more powerful tools and protocols in infection biology.
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Affiliation(s)
- Kian Talaei
- Center for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.,Lawrence Berkeley National Laboratory, Berkeley, CA, United States.,Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, United States
| | - Steven A Garan
- Center for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.,Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | | | - Mette S Olufsen
- Department of Mathematics, North Carolina State University, Raleigh, NC, United States
| | - Joshua Cho
- Center for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.,Lawrence Berkeley National Laboratory, Berkeley, CA, United States.,College of Chemistry, University of California, Berkeley, Berkeley, CA, United States
| | - Julia R Jahansooz
- Center for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.,Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, United States
| | - Puneet K Bhullar
- Center for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.,Mayo Clinic Alix School of Medicine, Scottsdale, AZ, United States
| | - Elliott K Suen
- Center for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, United States
| | - Walter J Piszker
- Center for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States.,College of Chemistry, University of California, Berkeley, Berkeley, CA, United States
| | - Nuno R B Martins
- Center for Research and Education in Aging, University of California, Berkeley, Berkeley, CA, United States
| | | | | | - Marcelo Lobosco
- Department of Computer Science, Federal University of Juiz de Fora, Juiz de Fora, Brazil
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