Multiscale modeling of HBV infection integrating intra- and intercellular viral propagation to analyze extracellular viral markers
Copyright: © 2024 Kitagawa et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited..
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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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:20 |
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| Enthalten in: |
PLoS computational biology - 20(2024), 3 vom: 28. März, Seite e1011238 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Kitagawa, Kosaku [VerfasserIn] |
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| Links: |
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| Themen: |
Antiviral Agents |
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| Anmerkungen: |
Date Completed 25.03.2024 Date Revised 28.03.2024 published: Electronic-eCollection UpdateOf: bioRxiv. 2023 Jun 07;:. - PMID 37333409 Citation Status MEDLINE |
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| doi: |
10.1371/journal.pcbi.1011238 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM369564979 |
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| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 7 | |a Hepatitis B Surface Antigens |2 NLM | |
| 650 | 7 | |a Hepatitis B e Antigens |2 NLM | |
| 650 | 7 | |a DNA, Viral |2 NLM | |
| 650 | 7 | |a DNA, Circular |2 NLM | |
| 650 | 7 | |a Biomarkers |2 NLM | |
| 650 | 7 | |a Antiviral Agents |2 NLM | |
| 700 | 1 | |a Kim, Kwang Su |e verfasserin |4 aut | |
| 700 | 1 | |a Iwamoto, Masashi |e verfasserin |4 aut | |
| 700 | 1 | |a Hayashi, Sanae |e verfasserin |4 aut | |
| 700 | 1 | |a Park, Hyeongki |e verfasserin |4 aut | |
| 700 | 1 | |a Nishiyama, Takara |e verfasserin |4 aut | |
| 700 | 1 | |a Nakamura, Naotoshi |e verfasserin |4 aut | |
| 700 | 1 | |a Fujita, Yasuhisa |e verfasserin |4 aut | |
| 700 | 1 | |a Nakaoka, Shinji |e verfasserin |4 aut | |
| 700 | 1 | |a Aihara, Kazuyuki |e verfasserin |4 aut | |
| 700 | 1 | |a Perelson, Alan S |e verfasserin |4 aut | |
| 700 | 1 | |a Allweiss, Lena |e verfasserin |4 aut | |
| 700 | 1 | |a Dandri, Maura |e verfasserin |4 aut | |
| 700 | 1 | |a Watashi, Koichi |e verfasserin |4 aut | |
| 700 | 1 | |a Tanaka, Yasuhito |e verfasserin |4 aut | |
| 700 | 1 | |a Iwami, Shingo |e verfasserin |4 aut | |
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