Multiscale modeling of HBV infection integrating intra- and intercellular viral propagation for analyzing

Kosaku Kitagawa1, Kwang Su Kim1,2, Masashi Iwamoto1,3

  • 1interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University; Nagoya, Japan.

Insights

A new mathematical model non-invasively quantifies hepatitis B virus (HBV) cccDNA in the liver using blood markers. This breakthrough aids in developing better chronic HBV treatments and understanding infection dynamics.

Area of Science:

  • Hepatology
  • Mathematical Biology
  • Virology

Background:

  • Chronic hepatitis B virus (HBV) infection is driven by persistent nuclear HBV cccDNA in hepatocytes.
  • Current methods to quantify intrahepatic HBV cccDNA require invasive liver biopsies, limiting clinical application.
  • Eliminating HBV cccDNA is crucial for effective chronic HBV treatment, yet remains a significant therapeutic challenge.

Approach:

  • Developed a multiscale mathematical model integrating intracellular and intercellular HBV infection dynamics using age-structured partial differential equations.
  • The model incorporates in vitro and in vivo experimental data for comprehensive HBV infection process representation.
  • Validated the model by predicting intrahepatic HBV cccDNA levels and dynamics from peripheral blood viral markers (HBV DNA, HBsAg, HBeAg, HBcrAg).

Key Points:

  • Successfully established a non-invasive method to quantify intrahepatic HBV cccDNA using serum viral markers.
  • Demonstrated the model's capability to predict HBV cccDNA amount and dynamics, offering insights into infection progression.
  • The study provides a robust framework for understanding HBV infection and advancing therapeutic strategies.

Conclusions:

  • The developed non-invasive methodology offers a promising approach for improved clinical analysis of chronic HBV infection.
  • This mathematical model facilitates a deeper understanding of HBV infection dynamics and the role of cccDNA.
  • The findings pave the way for developing targeted interventions and novel anti-HBV drug discovery.

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