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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

    8 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

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    ASJC Scopus subject areas

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

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