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

Kitagawa, Kosaku and Kim, Kwang Su and Iwamoto, Masashi and Hayashi, Sanae and Park, Hyeongki and Nishiyama, Takara and Nakamura, Naotoshi and Fujita, Yasuhisa and Nakaoka, Shinji and Aihara, Kazuyuki and Perelson, Alan S. and Allweiss, Lena and Dandri, Maura and Watashi, Koichi and Tanaka, Yasuhito and Iwami, Shingo and Dahari, Harel (2024) Multiscale modeling of HBV infection integrating intra- and intercellular viral propagation to analyze extracellular viral markers. PLOS Computational Biology, 20 (3). e1011238. ISSN 1553-7358

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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.

Item Type: Article
Subjects: Euro Archives > Biological Science
Depositing User: Managing Editor
Date Deposited: 09 Apr 2024 10:47
Last Modified: 09 Apr 2024 10:47
URI: http://publish7promo.com/id/eprint/4635

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