interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Department of Scientific Computing, Pukyong National University, Busan, South Korea.
PLoS Comput Biol. 2024 Mar 11;20(3):e1011238. doi: 10.1371/journal.pcbi.1011238. eCollection 2024 Mar.
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.
慢性乙型肝炎病毒 (HBV) 感染是由感染肝细胞内的闭合环状 DNA (cccDNA) 持续存在引起的。尽管有可用的治疗乙型肝炎病毒的药物,但消除 cccDNA 仍然具有挑战性。因此,定量和了解 cccDNA 的动态对于开发有效的治疗策略和新药至关重要。然而,这种研究需要通过重复肝活检来测量肝内 cccDNA,但由于肝活检具有潜在的病态且在乙型肝炎治疗期间并不常见,因此基本上无法接受。我们旨在开发一种使用外周血替代标志物来定量肝脏 cccDNA 的非侵入性方法。我们构建了一个多尺度数学模型,该模型明确纳入了细胞内和细胞间的乙型肝炎病毒感染过程。该模型基于年龄结构的偏微分方程,整合了来自体外和体内研究的实验数据。通过应用该模型,我们使用血清样本中的特定病毒标志物(包括 HBV DNA、HBsAg、HBeAg 和 HBcrAg),大致预测了一定范围内肝内 cccDNA 的数量和动态。我们的研究代表了在理解慢性乙型肝炎病毒感染方面迈出的重要一步。使用我们提出的方法无创定量 cccDNA 有望改善临床分析和治疗策略。通过全面描述乙型肝炎病毒感染中所有涉及成分的相互作用,我们的多尺度数学模型为进一步研究和靶向干预提供了有价值的框架。