Viral Rebound After Antiviral Treatment: A Mathematical Modeling Study of the Role of Antiviral Mechanism of Action.

IF 3.9 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Aubrey Chiarelli, Hana Dobrovolny
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Abstract

The development of antiviral treatments for SARS-CoV-2 was an important turning point for the pandemic. Availability of safe and effective antivirals has allowed people to return back to normal life. While SARS-CoV-2 antivirals are highly effective at preventing severe disease, there have been concerning reports of viral rebound in some patients after cessation of antiviral treatment. In this study, we use a mathematical model of viral infection to study the potential of different antivirals to prevent viral rebound. We find that antivirals that block production are most likely to result in viral rebound if the treatment time course is not sufficiently long. Since these antivirals do not prevent infection of cells, cells continue to be infected during treatment. When treatment is stopped, the infected cells will begin producing virus at the usual rate. Antivirals that prevent infection of cells are less likely to result in viral rebound since cells are not being infected during treatment. This study highlights the role of antiviral mechanism of action in increasing or reducing the probability of viral rebound.

Abstract Image

抗病毒治疗后的病毒反弹:抗病毒作用机制的数学模型研究。
针对 SARS-CoV-2 的抗病毒疗法的开发是这次大流行病的一个重要转折点。安全有效的抗病毒药物使人们得以恢复正常生活。虽然 SARS-CoV-2 抗病毒药物在预防严重疾病方面非常有效,但也有一些患者在停止抗病毒治疗后病毒反弹的报道,令人担忧。在这项研究中,我们利用病毒感染的数学模型来研究不同抗病毒药物预防病毒反弹的潜力。我们发现,如果治疗时间不够长,阻断病毒生成的抗病毒药物最有可能导致病毒反弹。由于这些抗病毒药物不能阻止细胞感染,因此在治疗期间细胞会继续受到感染。治疗停止后,受感染的细胞又会以通常的速度开始产生病毒。防止细胞感染的抗病毒药物不太可能导致病毒反弹,因为细胞在治疗期间没有受到感染。这项研究强调了抗病毒药物的作用机制在增加或减少病毒反弹概率方面的作用。
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来源期刊
Interdisciplinary Sciences: Computational Life Sciences
Interdisciplinary Sciences: Computational Life Sciences MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
8.60
自引率
4.20%
发文量
55
期刊介绍: Interdisciplinary Sciences--Computational Life Sciences aims to cover the most recent and outstanding developments in interdisciplinary areas of sciences, especially focusing on computational life sciences, an area that is enjoying rapid development at the forefront of scientific research and technology. The journal publishes original papers of significant general interest covering recent research and developments. Articles will be published rapidly by taking full advantage of internet technology for online submission and peer-reviewing of manuscripts, and then by publishing OnlineFirstTM through SpringerLink even before the issue is built or sent to the printer. The editorial board consists of many leading scientists with international reputation, among others, Luc Montagnier (UNESCO, France), Dennis Salahub (University of Calgary, Canada), Weitao Yang (Duke University, USA). Prof. Dongqing Wei at the Shanghai Jiatong University is appointed as the editor-in-chief; he made important contributions in bioinformatics and computational physics and is best known for his ground-breaking works on the theory of ferroelectric liquids. With the help from a team of associate editors and the editorial board, an international journal with sound reputation shall be created.
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