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A qualitative mathematical model of immunocompetence with applications to SARS-CoV-2 immunity

View ORCID ProfileJavier Burgos-Salcedo
doi: https://doi.org/10.1101/2021.12.08.471857
Javier Burgos-Salcedo
aResearch Department, Corporación CIINAS, La Calera, Colombia
bEngineering Department, Fundación Universitaria San Mateo, Bogotá, Colombia
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Abstract

A qualitative mathematical model of the notion of immunocompetence is developed, based on the formalism of Memory Evolutive Systems (MES), from which, immunocompetence is defined as an emergent structure of a higher order arising from the signal networks that are established between effector cells and molecules of the immune response in the presence of a given antigen. In addition, a possible mechanism of functorial nature is proposed, which may explain how immunocompetence is achieved in an organism endowed with innate and adaptive components of its immune system. Finally, a practical method to measure the immunocompetence status is established, using elements of the theory of small random graphs and taking into account the characteristics of the immune networks, established through transcriptional studies, of patients with severe COVID-19 and healthy patients, assuming that both types of patients were vaccinated with an effective biological against SARS-CoV-2.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 13, 2021.
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A qualitative mathematical model of immunocompetence with applications to SARS-CoV-2 immunity
Javier Burgos-Salcedo
bioRxiv 2021.12.08.471857; doi: https://doi.org/10.1101/2021.12.08.471857
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A qualitative mathematical model of immunocompetence with applications to SARS-CoV-2 immunity
Javier Burgos-Salcedo
bioRxiv 2021.12.08.471857; doi: https://doi.org/10.1101/2021.12.08.471857

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