RT Journal Article
SR Electronic
T1 A qualitative mathematical model of immunocompetence with applications to SARS-CoV-2 immunity
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.12.08.471857
DO 10.1101/2021.12.08.471857
A1 Javier Burgos-Salcedo
YR 2021
UL http://biorxiv.org/content/early/2021/12/13/2021.12.08.471857.abstract
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.