An age-structured model of hepatitis B viral infection highlights the potential of different therapeutic strategies.
An age-structured model of hepatitis B viral infection highlights the potential of different therapeutic strategies.
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DOI：
10.1038/s41598-021-04022-z
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发表时间：
2022-01-24
影响因子：
4.6
通讯作者：
Twarock R
中科院分区：
文献类型：
--
作者：
Fatehi F;Bingham RJ;Stockley PG;Twarock R
B型肝炎病毒（HBV）是一种全球性的健康威胁，世界卫生组织已将到2030年消除HBV列为优先事项。在这里，我们提出了一个年龄结构模型的免疫应答HBV感染，其中考虑到细胞介导的和体液免疫的贡献。该模型已被验证使用发表的患者数据记录在急性感染。它已经适应了慢性感染，感染清除，并通过免疫反应参数的变化突发的情况。分析了免疫应答耗竭和非感染性亚病毒颗粒对免疫应答动力学的影响。在该模型的背景下，不同治疗方案的比较表明，靶向病毒生命周期方面的药物比耗竭疗法更有效，耗竭疗法是一种减轻免疫应答耗竭的疗法。我们的研究结果表明，抗病毒治疗最好在病毒载量下降时开始，而不是在突然发作时开始。该模型表明，快速的抗体产生速率总是导致病毒清除，突出了目前在临床试验中的抗体疗法的前景。
Hepatitis B virus (HBV) is a global health threat, and its elimination by 2030 has been prioritised by the World Health Organisation. Here we present an age-structured model for the immune response to an HBV infection, which takes into account contributions from both cell-mediated and humoral immunity. The model has been validated using published patient data recorded during acute infection. It has been adapted to the scenarios of chronic infection, clearance of infection, and flare-ups via variation of the immune response parameters. The impacts of immune response exhaustion and non-infectious subviral particles on the immune response dynamics are analysed. A comparison of different treatment options in the context of this model reveals that drugs targeting aspects of the viral life cycle are more effective than exhaustion therapy, a form of therapy mitigating immune response exhaustion. Our results suggest that antiviral treatment is best started when viral load is declining rather than in a flare-up. The model suggests that a fast antibody production rate always leads to viral clearance, highlighting the promise of antibody therapies currently in clinical trials.
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DOI：
10.3390/v9110350
发表时间：
2017-11-18
期刊：
Viruses
影响因子：
--
作者：
Goyal A;Ribeiro RM;Perelson AS
通讯作者：
Perelson AS
在随机对照试验中检测显着的抗病毒药物对COVID-19具有合理样本量的效应：一项建模研究。
影响因子：
15.8
作者：
Iwanami S;Ejima K;Kim KS;Noshita K;Fujita Y;Miyazaki T;Kohno S;Miyazaki Y;Morimoto S;Nakaoka S;Koizumi Y;Asai Y;Aihara K;Watashi K;Thompson RN;Shibuya K;Fujiu K;Perelson AS;Iwami S;Wakita T
通讯作者：
Wakita T
影响因子：
13.5
作者：
Dahari, Harel;Shudo, Emi;Ribeiro, Ruy M.;Perelson, Alan S.
通讯作者：
Perelson, Alan S.
DOI：
10.3390/v9030056
发表时间：
2017-03-21
期刊：
Viruses
影响因子：
--
作者：
Hu J;Liu K
通讯作者：
Liu K
影响因子：
4.3
作者：
Ciupe SM;Ribeiro RM;Perelson AS
通讯作者：
Perelson AS