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Updated: Jul 1, 2025

Modeling Hepatitis B Virus Infection in Non-Hepatic 293T-NE-3NRs Cells
Published on: June 5, 2020
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.
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.
Abstract:
Chronic infection with hepatitis B virus (HBV) is caused by the persistence of closed circular DNA (cccDNA) in the nucleus of infected hepatocytes. Despite available therapeutic anti-HBV agents, eliminating the cccDNA remains challenging. Thus, quantifying and understanding the dynamics of cccDNA are essential for developing effective treatment strategies and new drugs. However, such study requires repeated liver biopsy to measure the intrahepatic cccDNA, which is basically not accepted because liver biopsy is potentially morbid and not common during hepatitis B treatment. We here aimed to develop a noninvasive method for quantifying cccDNA in the liver using surrogate markers in peripheral blood. We constructed a multiscale mathematical model that explicitly incorporates both intracellular and intercellular HBV infection processes. The model, based on age-structured partial differential equations, integrates experimental data from in vitro and in vivo investigations. By applying this model, we roughly predicted the amount and dynamics of intrahepatic cccDNA within a certain range using specific viral markers in serum samples, including HBV DNA, HBsAg, HBeAg, and HBcrAg. Our study represents a significant step towards advancing the understanding of chronic HBV infection. The noninvasive quantification of cccDNA using our proposed method holds promise for improving clinical analyses and treatment strategies. By comprehensively describing the interactions of all components involved in HBV infection, our multiscale mathematical model provides a valuable framework for further research and the development of targeted interventions.
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