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基于多尺度方法的 SARS-CoV-2 帕罗韦德药代动力学的计算机评估。

In Silico Evaluation of Paxlovid's Pharmacometrics for SARS-CoV-2: A Multiscale Approach.

机构信息

Bolyai Institute, University of Szeged, H-6720 Szeged, Hungary.

School of Sciences, Zhejiang University of Science and Technology, Hangzhou 310023, China.

出版信息

Viruses. 2022 May 20;14(5):1103. doi: 10.3390/v14051103.

Abstract

Paxlovid is a promising, orally bioavailable novel drug for SARS-CoV-2 with excellent safety profiles. Our main goal here is to explore the pharmacometric features of this new antiviral. To provide a detailed assessment of Paxlovid, we propose a hybrid multiscale mathematical approach. We demonstrate that the results of the present in silico evaluation match the clinical expectations remarkably well: on the one hand, our computations successfully replicate the outcome of an actual in vitro experiment; on the other hand, we verify both the sufficiency and the necessity of Paxlovid's two main components (nirmatrelvir and ritonavir) for a simplified in vivo case. Moreover, in the simulated context of our computational framework, we visualize the importance of early interventions and identify the time window where a unit-length delay causes the highest level of tissue damage. Finally, the results' sensitivity to the diffusion coefficient of the virus is explored in detail.

摘要

帕克洛维德是一种有前景的、口服生物可利用的新型 SARS-CoV-2 药物,具有极好的安全性。我们的主要目标是探索这种新型抗病毒药物的药代动力学特征。为了对帕克洛维德进行详细评估,我们提出了一种混合多尺度数学方法。我们证明,目前的计算机模拟评估结果与临床预期非常吻合:一方面,我们的计算成功复制了实际体外实验的结果;另一方面,我们验证了帕克洛维德的两种主要成分(奈玛特韦和利托那韦)在简化的体内情况下的充分性和必要性。此外,在我们的计算框架的模拟环境中,我们可以直观地了解早期干预的重要性,并确定导致组织损伤程度最高的时间段。最后,我们详细探讨了病毒扩散系数对结果的敏感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e4d/9146265/069390f7f199/viruses-14-01103-g001.jpg

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