TY  - JOUR
A1  - Ordoñez-Jiménez, Fernanda
A1  - Blanco Rodríguez, Rodolfo Guadalupe
A1  - Almocera, Alexis Erich S.
A1  - Chinney-Herrera, Gustavo
A1  - Hernández-Vargas, Esteban A.
T1  - Quantifying antibody dynamics of severe and non-severe patients with COVID-19
T2  - medRxiv
N2  - COVID-19 pandemic is a major public health threat with unanswered questions regarding the role of the immune system in the severity level of the disease. In this paper, based on antibody kinetic data of patients with different disease severity, topological data analysis highlights clear differences in the shape of antibody dynamics between three groups of patients, which were non-severe, severe, and one intermediate case of severity. Subsequently, different mathematical models were developed to quantify the dynamics between the different severity groups. The best model was the one with the lowest media value of Akaike Information Criterion for all groups of patients. Although it has been reported high IgG level in severe patients, our findings suggest that IgG antibodies in severe patients may be less effective than non-severe patients due to early B cell production and early activation of the seroconversion process from IgM to IgG antibody.
Y1  - 2022
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/73644
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-736448
IS  - 2022.02.23.22271403
ER  -