Within-host mathematical models of hepatitis B virus infection: Past, present, and future

Journal Article · 01 November 2019 · Current Opinion in Systems Biology

DOI: https://doi.org/10.1016/j.coisb.2019.10.003 · OSTI ID:1573998

Goyal, Ashish ^[1]; Liao, Laura E. ^[1]; Perelson, Alan S.  ^[1]

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1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Biology and Biophysics

Mathematical modeling has been instrumental in enhancing our understanding of the viral dynamics of hepatitis B virus (HBV) infection. We give a primer on HBV infection in humans and a brief overview of the development of within-host mathematical models of HBV infection. In the last decade, models have advanced from considering chronic HBV infections under therapy to the pathogenesis of infection. We also summarize estimates of key viral dynamic parameters that have varied greatly among studies, and show that they impact model predictions. Here, future directions for mathematical modeling of HBV infection are proposed to better understand emerging therapies, the HBV life cycle, predicting cure, and the mechanisms involved in the immune response to HBV.

• Research Organization: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: National Institutes of Health; USDOE
• Grant/Contract Number: 89233218CNA000001
• OSTI ID: 1573998
• Report Number(s): LA-UR--19-24820
• Journal Information: Current Opinion in Systems Biology, Journal Name: Current Opinion in Systems Biology Vol. 18; ISSN 2452-3100
• Publisher: ElsevierCopyright Statement
• Country of Publication: United States
• Language: English