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

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. 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.

Authors:
 [1];  [1]; ORCiD logo [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Biology and Biophysics
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
National Institutes of Health (NIH); USDOE
OSTI Identifier:
1573998
Report Number(s):
LA-UR-19-24820
Journal ID: ISSN 2452-3100
Grant/Contract Number:  
89233218CNA000001
Resource Type:
Accepted Manuscript
Journal Name:
Current Opinion in Systems Biology
Additional Journal Information:
Journal Name: Current Opinion in Systems Biology; Journal ID: ISSN 2452-3100
Country of Publication:
United States
Language:
English
Subject:
Hepatitis B virus; Biology; host infections; mathematical modeling; viral dynamics; cure; covalently closed circular DNA

Citation Formats

Goyal, Ashish, Liao, Laura E., and Perelson, Alan S. Within-host mathematical models of hepatitis B virus infection: Past, present, and future. United States: N. p., 2019. Web. doi:10.1016/j.coisb.2019.10.003.
Goyal, Ashish, Liao, Laura E., & Perelson, Alan S. Within-host mathematical models of hepatitis B virus infection: Past, present, and future. United States. doi:10.1016/j.coisb.2019.10.003.
Goyal, Ashish, Liao, Laura E., and Perelson, Alan S. Sat . "Within-host mathematical models of hepatitis B virus infection: Past, present, and future". United States. doi:10.1016/j.coisb.2019.10.003.
@article{osti_1573998,
title = {Within-host mathematical models of hepatitis B virus infection: Past, present, and future},
author = {Goyal, Ashish and Liao, Laura E. and Perelson, Alan S.},
abstractNote = {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.},
doi = {10.1016/j.coisb.2019.10.003},
journal = {Current Opinion in Systems Biology},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {11}
}

Journal Article:
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This content will become publicly available on November 2, 2020
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