PT - JOURNAL ARTICLE
AU - Javier Burgos-Salcedo
TI - A qualitative mathematical model of immunocompetence with applications to SARS-CoV-2 immunity
AID - 10.1101/2021.12.08.471857
DP - 2021 Jan 01
TA - bioRxiv
PG - 2021.12.08.471857
4099 - http://biorxiv.org/content/early/2021/12/13/2021.12.08.471857.short
4100 - http://biorxiv.org/content/early/2021/12/13/2021.12.08.471857.full
AB - 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 StatementThe authors have declared no competing interest.