Quantification of Ebola virus replication kinetics in vitro.
Laura E Liao1, Jonathan Carruthers2, Sophie J Smither3
1Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA 87545.
Plos Computational Biology
|November 2, 2020
Summary
Mathematical modeling of Ebola virus infection provides new insights into its lifecycle. This study quantifies the eclipse phase and virion infectivity decay, crucial for understanding disease and developing therapeutics.
Area of Science:
- Virology
- Mathematical Biology
- Infectious Disease Dynamics
Background:
- Mathematical modeling is vital for understanding viral infections, especially for high-containment pathogens like Ebola virus.
- Previous modeling efforts focused on in vivo kinetics, lacking detailed in vitro infection cycle specifications.
Purpose of the Study:
- To develop a comprehensive mathematical model of the Ebola virus infection cycle using in vitro data.
- To identify key kinetic parameters, including the eclipse phase duration and virion decay rates.
Main Methods:
- Acquisition of a diverse in vitro experimental dataset for Ebola virus infection.
- Application of Bayesian inference methods for parameter identification in the mathematical model.
Main Results:
- Quantification of the time distribution of the eclipse phase in infected cells.
- Estimation of the rate at which infectious Ebola virus particles lose infectivity.
- Insights into the fundamental kinetics of Ebola virus replication in vitro.
Conclusions:
- The study provides a detailed mathematical description of the Ebola virus in vitro infection cycle.
- Findings offer a foundation for future models, including those incorporating defective interfering particles for therapeutic strategies.
