Modeling suggests that virion production cycles within individual cells is key to understanding acute hepatitis B virus infection kinetics

Atesmachew Hailegiorgis, Yuji Ishida, Nicholson Collier, Michio Imamura, Zhenzhen Shi, Vladimir Reinharz, Masataka Tsuge, Danny Barash, Nobuhiko Hiraga, Hiroshi Yokomichi, Chise Tateno, Jonathan Ozik, Susan L. Uprichard, Kazuaki Chayama, Harel Dahari

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Hepatitis B virus (HBV) infection kinetics in immunodeficient mice reconstituted with humanized livers from inoculation to steady state is highly dynamic despite the absence of an adaptive immune response. To recapitulate the multiphasic viral kinetic patterns, we developed an agent-based model that includes intracellular virion production cycles reflecting the cyclic nature of each individual virus lifecycle. The model fits the data well predicting an increase in production cycles initially starting with a long production cycle of 1 virion per 20 hours that gradually reaches 1 virion per hour after approximately 3–4 days before virion production increases dramatically to reach to a steady state rate of 4 virions per hour per cell. Together, modeling suggests that it is the cyclic nature of the virus lifecycle combined with an initial slow but increasing rate of HBV production from each cell that plays a role in generating the observed multiphasic HBV kinetic patterns in humanized mice.

Original languageEnglish
Article numbere1011309
JournalPLoS Computational Biology
Volume19
Issue number8 August
DOIs
StatePublished - 1 Aug 2023

ASJC Scopus subject areas

  • Genetics
  • Ecology, Evolution, Behavior and Systematics
  • Cellular and Molecular Neuroscience
  • Molecular Biology
  • Ecology
  • Computational Theory and Mathematics
  • Modeling and Simulation

Fingerprint

Dive into the research topics of 'Modeling suggests that virion production cycles within individual cells is key to understanding acute hepatitis B virus infection kinetics'. Together they form a unique fingerprint.

Cite this