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Influenza virus population dynamics in the respiratory tract of experimentally infected mice

Infection and Immunity
|February 1, 1976
PubMed

Insights

Influenza virus dynamics in mice show highest concentrations in lungs, with varying levels in the trachea and nasopharynx. A mathematical model accurately describes these virus population dynamics during infection.

Area of Science:

  • Virology
  • Mathematical Biology
  • Respiratory Medicine

Background:

  • Influenza virus infections pose a significant public health challenge.
  • Understanding virus population dynamics is crucial for developing effective treatments.
  • Previous studies have not fully elucidated the compartmental dynamics of influenza virus within the respiratory tract.

Purpose of the Study:

  • To investigate the population dynamics of influenza virus in the lungs, trachea, and nasopharynx of mice.
  • To develop and apply a mathematical compartmental model to describe virus dissemination and replication.
  • To assess the impact of challenge dose and site of initial deposition on viral load.

Main Methods:

  • Swiss-ICR mice were challenged with a mouse-adapted influenza A virus (A2/Aichi/2/68).
  • Virus concentrations were quantified in lung, trachea, and nasopharynx tissues over time.
  • A seven-compartment mathematical model was developed to fit the experimental data.

Main Results:

  • Higher viral doses were needed for nasopharyngeal than bronchoalveolar challenge.
  • The lungs consistently exhibited the highest virus concentrations.
  • Tracheal and nasopharyngeal viral loads were lower than in the lungs, with trachea having higher concentrations than the nasopharynx.
  • Viral levels decreased significantly by 120 hours post-challenge and were mostly undetectable by day 10.
  • The compartmental model accurately described virus concentration data across different challenge conditions and tissues.

Conclusions:

  • Influenza virus replication and dissemination vary significantly across different compartments of the mouse respiratory tract.
  • Compartmental modeling provides a powerful mathematical framework for analyzing virus population dynamics.
  • This approach offers new insights into the pathogenesis of respiratory viral infections.

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