Within-host mathematical models of hepatitis B virus infection: Past, present, and future. Issue 18 (December 2019)

• Record Type: Journal Article
• Authors: Goyal, Ashish; Liao, Laura E.; Perelson, Alan S.
• Is Part Of: Current opinion in systems biology. Issue 18(2019)
• Page Start: 27
• Page End: 35
• Publication Date: 2019-12
• Subjects: Hepatitis B virus -- Mathematical modeling -- Viral dynamics -- Cure -- Covalently closed circular DNA; Systems biology -- Periodicals; 570
• DOI: 10.1016/j.coisb.2019.10.003
• Languages: English
• ISSNs: 2452-3100

Abstract

Abstract: 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. Future directions for mathematical modeling of HBV infection are proposed to better understand emerging therapies, the HBV life cycle, prediction of cure, and the mechanisms involved in the immune response to HBV infection. Highlights: Mathematical models have improved our understanding of hepatitis B virus. Estimates of key infection parameters require refinement to improve model predictions. New models include infected cell proliferation and intracellular components.