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COVID-19 的机制模型:对疾病进展、疫苗和治疗的深入了解。

Mechanistic Models of COVID-19: Insights into Disease Progression, Vaccines, and Therapeutics.

机构信息

Quantitative Systems Pharmacology (QSP) group, Certara, Sheffield and Canterbury, United Kingdom.

Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, Australia.

出版信息

Int J Antimicrob Agents. 2022 Jul;60(1):106606. doi: 10.1016/j.ijantimicag.2022.106606. Epub 2022 May 16.

Abstract

The COVID-19 pandemic has severely impacted health systems and economies worldwide. Significant global efforts are therefore ongoing to improve vaccine efficacies, optimize vaccine deployment, and develop new antiviral therapies to combat the pandemic. Mechanistic viral dynamics and quantitative systems pharmacology models of SARS-CoV-2 infection, vaccines, immunomodulatory agents, and antiviral therapeutics have played a key role in advancing our understanding of SARS-CoV-2 pathogenesis and transmission, the interplay between innate and adaptive immunity to influence the outcomes of infection, effectiveness of treatments, mechanisms and performance of COVID-19 vaccines, and the impact of emerging SARS-CoV-2 variants. Here, we review some of the critical insights provided by these models and discuss the challenges ahead.

摘要

新冠疫情对全球卫生系统和经济造成了严重影响。因此,全球正在做出巨大努力来提高疫苗效力、优化疫苗部署并开发新的抗病毒疗法来对抗这一大流行。新冠病毒感染、疫苗、免疫调节剂和抗病毒疗法的机制病毒动力学和定量系统药理学模型在深入了解新冠病毒发病机制和传播、先天免疫和适应性免疫之间的相互作用如何影响感染结局、治疗效果、新冠疫苗的作用机制和性能以及新出现的新冠病毒变体的影响方面发挥了关键作用。在这里,我们回顾了这些模型提供的一些关键见解,并讨论了未来的挑战。

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