Kim Kwang Su, Iwamoto Masashi, Kitagawa Kosaku, Park Hyeongki, Hayashi Sanae, Tsukuda Senko, Matsui Takeshi, Atsukawa Masanori, Matsuura Kentaro, Chuaypen Natthaya, Tangkijvanich Pisit, Allweiss Lena, Nishiyama Takara, Nakamura Naotoshi, Fujita Yasuhisa, Kawakami Eiryo, Nakaoka Shinji, Muramatsu Masamichi, Aihara Kazuyuki, Wakita Takaji, Perelson Alan S, Dandri Maura, Watashi Koichi, Iwami Shingo, Tanaka Yasuhito
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. 2025 Jan 9;21(1):e1012615. doi: 10.1371/journal.pcbi.1012615. eCollection 2025 Jan.
Quantification of intrahepatic covalently closed circular DNA (cccDNA) is a key for evaluating an elimination of hepatitis B virus (HBV) in infected patients. However, quantifying cccDNA requires invasive methods such as a liver biopsy, which makes it impractical to access the dynamics of cccDNA in patients. Although HBV RNA and HBV core-related antigens (HBcrAg) have been proposed as surrogate markers for evaluating cccDNA activity, they do not necessarily estimate the amount of cccDNA. Here, we employed a recently developed multiscale mathematical model describing intra- and intercellular viral propagation and applied it in HBV-infected patients under treatment. We developed a model that can predict intracellular HBV dynamics by use of extracellular viral markers, including HBsAg, HBV DNA, and HBcrAg in peripheral blood. Importantly, the model prediction of the amount of cccDNA in patients over time was confirmed to be well correlated with the data for quantified cccDNA by paired liver biopsy. Thus, our method combining classic and emerging surrogate markers enables us to predict the decay dynamics of cccDNA in patients undergoing treatment.
肝内共价闭合环状DNA(cccDNA)的定量分析是评估感染患者体内乙型肝炎病毒(HBV)清除情况的关键。然而,定量分析cccDNA需要采用侵入性方法,如肝活检,这使得了解患者体内cccDNA的动态变化变得不切实际。尽管HBV RNA和HBV核心相关抗原(HBcrAg)已被提议作为评估cccDNA活性的替代标志物,但它们不一定能估算出cccDNA的数量。在此,我们采用了一种最近开发的描述细胞内和细胞间病毒传播的多尺度数学模型,并将其应用于接受治疗的HBV感染患者。我们开发了一个模型,该模型可以通过使用外周血中的细胞外病毒标志物(包括HBsAg、HBV DNA和HBcrAg)来预测细胞内HBV的动态变化。重要的是,通过配对肝活检证实,该模型对患者体内cccDNA数量随时间变化的预测与定量cccDNA的数据具有良好的相关性。因此,我们结合经典和新兴替代标志物的方法使我们能够预测接受治疗患者体内cccDNA的衰减动态变化。