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Multiscale modeling of HBV infection integrating intra- and intercellular viral propagation for analyzing extracellular viral markers.
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.
Afiliação
  • Kitagawa K; interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University; Nagoya, Japan.
  • Kim KS; interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University; Nagoya, Japan.
  • Iwamoto M; Department of Scientific Computing, Pukyong National University; Busan, South Korea.
  • Hayashi S; interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University; Nagoya, Japan.
  • Park H; Department of Virology II, National Institute of Infectious Diseases; Tokyo, Japan.
  • Nishiyama T; Department of Gastroenterology and Hepatology, Faculty of Life Sciences, Kumamoto University; Kumamoto, Japan.
  • Nakamura N; interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University; Nagoya, Japan.
  • Fujita Y; interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University; Nagoya, Japan.
  • Nakaoka S; interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University; Nagoya, Japan.
  • Aihara K; interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University; Nagoya, Japan.
  • Perelson AS; Faculty of Advanced Life Science, Hokkaido University; Sapporo, Japan.
  • Allweiss L; International Research Center for Neurointelligence, The University of Tokyo Institutes for Advanced Study, The University of Tokyo; Tokyo, Japan.
  • Dandri M; Theoretical Biology and Biophysics Group, Los Alamos National Laboratory; Los Alamos, USA.
  • Watashi K; Department of Internal Medicine, University Medical Center Hamburg-Eppendorf; Hamburg, Germany.
  • Tanaka Y; German Center for Infection Research (DZIF), Hamburg-Lübeck-Borstel-Riems partner sites; Germany.
  • Iwami S; Department of Internal Medicine, University Medical Center Hamburg-Eppendorf; Hamburg, Germany.
bioRxiv ; 2023 Jun 07.
Article em En | MEDLINE | ID: mdl-37333409
ABSTRACT
Chronic infection of 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. The quantifying and understanding dynamics of cccDNA are essential for developing effective treatment strategies and new drugs. However, it requires a liver biopsy to measure the intrahepatic cccDNA, which is basically not accepted because of the ethical aspect. We here aimed to develop a non-invasive method for quantifying cccDNA in the liver using surrogate markers present 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 (PDEs), integrates experimental data from in vitro and in vivo investigations. By applying this model, we successfully predicted the amount and dynamics of intrahepatic cccDNA 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 non-invasive quantification of cccDNA using our proposed methodology 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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article