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

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 ar...

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Published inPLoS computational biology Vol. 20; no. 3; p. e1011238
Main Authors Kitagawa, Kosaku, Kim, Kwang Su, Iwamoto, Masashi, Hayashi, Sanae, Park, Hyeongki, Nishiyama, Takara, Nakamura, Naotoshi, Fujita, Yasuhisa, Nakaoka, Shinji, Aihara, Kazuyuki, Perelson, Alan S., Allweiss, Lena, Dandri, Maura, Watashi, Koichi, Tanaka, Yasuhito, Iwami, Shingo
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 11.03.2024
Public Library of Science (PLoS)
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Summary: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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LA-UR-23-28773
89233218CNA000001; R01-OD011095; R01- AI078881; R01-AI116868
National Institutes of Health (NIH)
USDOE National Nuclear Security Administration (NNSA)
MI, SH and HP also contributed equally to this work. KW and SI also contributed equally to this work.
The authors have declared that no competing interests exist.
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1011238