Multiscale modeling of HBV infection integrating intra- and intercellular viral propagation to analyze extracellular

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.

PubMed

Insights

Researchers developed a noninvasive mathematical model to quantify hepatitis B virus (HBV) cccDNA in the liver using blood markers. This approach avoids risky liver biopsies, aiding chronic HBV treatment strategies.

Area of Science:

  • Virology
  • Mathematical Biology
  • Hepatology

Background:

  • Chronic hepatitis B virus (HBV) infection is characterized by persistent HBV cccDNA in hepatocytes.
  • Eliminating intrahepatic HBV cccDNA is a key challenge for effective chronic HBV treatment.
  • Current methods for quantifying intrahepatic cccDNA require invasive liver biopsies, limiting their clinical utility.

Purpose of the Study:

  • To develop a noninvasive method for quantifying intrahepatic HBV cccDNA.
  • To utilize surrogate viral markers in peripheral blood for cccDNA estimation.
  • To establish a mathematical framework for understanding HBV infection dynamics.

Main Methods:

  • Construction of a multiscale mathematical model incorporating intracellular and intercellular HBV infection processes.
  • Application of age-structured partial differential equations.
  • Integration of in vitro and in vivo experimental data.
  • Validation using serum markers: HBV DNA, HBsAg, HBeAg, and HBcrAg.

Main Results:

  • A noninvasive method was developed to predict intrahepatic cccDNA amount and dynamics.
  • The model successfully correlated serum viral markers with cccDNA levels.
  • The study provides a quantitative range for intrahepatic cccDNA estimation.

Conclusions:

  • The developed noninvasive method offers a promising alternative to liver biopsy for monitoring chronic HBV.
  • This approach can significantly improve clinical analysis and guide the development of targeted HBV therapies.
  • The multiscale mathematical model serves as a valuable framework for future HBV research and intervention strategies.

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