TY - JOUR
T1 - Bayesian estimation of parameters in viral dynamics models with antiviral effect of interferons in a cell culture
AU - Rodríguez-Parra, Miguel Ángel
AU - Vargas-De-León, Cruz
AU - Godinez-Jaimes, Flaviano
AU - Martinez-Lázaro, Celia
N1 - Publisher Copyright:
© 2023 the Author(s), licensee AIMS Press.
PY - 2023
Y1 - 2023
N2 - The goal of this work is to estimate the efficacy of interferon therapy in the inhibition of infection by the human immunodeficiency virus type 1 (HIV-1) in a cell culture. For this purpose, three viral dynamics models with the antiviral effect of interferons are presented; the dynamics of cell growth differ among the models, and a variant with Gompertz-type cell dynamics is proposed. A Bayesian statistics approach is used to estimate the cell dynamics parameters, viral dynamics and interferon efficacy. The models are fitted to sets of experimental data on cell growth, HIV-1 infection without interferon therapy and HIV-1 infection with interferon therapy, respectively. The Watanabe-Akaike information criterion (WAIC) is used to determine the model that best fits the experimental data. In addition to the estimated model parameters, the average lifespan of the infected cells and the basic reproductive number are calculated.
AB - The goal of this work is to estimate the efficacy of interferon therapy in the inhibition of infection by the human immunodeficiency virus type 1 (HIV-1) in a cell culture. For this purpose, three viral dynamics models with the antiviral effect of interferons are presented; the dynamics of cell growth differ among the models, and a variant with Gompertz-type cell dynamics is proposed. A Bayesian statistics approach is used to estimate the cell dynamics parameters, viral dynamics and interferon efficacy. The models are fitted to sets of experimental data on cell growth, HIV-1 infection without interferon therapy and HIV-1 infection with interferon therapy, respectively. The Watanabe-Akaike information criterion (WAIC) is used to determine the model that best fits the experimental data. In addition to the estimated model parameters, the average lifespan of the infected cells and the basic reproductive number are calculated.
KW - Bayesian estimation
KW - in vitro study
KW - interferon therapy
KW - model comparison
KW - viral dynamics models
UR - http://www.scopus.com/inward/record.url?scp=85156229679&partnerID=8YFLogxK
U2 - 10.3934/mbe.2023488
DO - 10.3934/mbe.2023488
M3 - Artículo
C2 - 37322970
AN - SCOPUS:85156229679
SN - 1547-1063
VL - 20
SP - 11033
EP - 11062
JO - Mathematical Biosciences and Engineering
JF - Mathematical Biosciences and Engineering
IS - 6
ER -