National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.
Division of Microbiology and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.
Nature. 2022 May;605(7911):640-652. doi: 10.1038/s41586-022-04690-5. Epub 2022 Mar 31.
The global emergence of many severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants jeopardizes the protective antiviral immunity induced after infection or vaccination. To address the public health threat caused by the increasing SARS-CoV-2 genomic diversity, the National Institute of Allergy and Infectious Diseases within the National Institutes of Health established the SARS-CoV-2 Assessment of Viral Evolution (SAVE) programme. This effort was designed to provide a real-time risk assessment of SARS-CoV-2 variants that could potentially affect the transmission, virulence, and resistance to infection- and vaccine-induced immunity. The SAVE programme is a critical data-generating component of the US Government SARS-CoV-2 Interagency Group to assess implications of SARS-CoV-2 variants on diagnostics, vaccines and therapeutics, and for communicating public health risk. Here we describe the coordinated approach used to identify and curate data about emerging variants, their impact on immunity and effects on vaccine protection using animal models. We report the development of reagents, methodologies, models and notable findings facilitated by this collaborative approach and identify future challenges. This programme is a template for the response to rapidly evolving pathogens with pandemic potential by monitoring viral evolution in the human population to identify variants that could reduce the effectiveness of countermeasures.
许多严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 变体在全球出现,这危及了感染或接种疫苗后产生的抗病毒保护性免疫。为了解决不断增加的 SARS-CoV-2 基因组多样性对公共卫生造成的威胁,美国国立卫生研究院下属的过敏和传染病研究所成立了 SARS-CoV-2 病毒进化评估 (SAVE) 计划。该计划旨在实时评估可能影响传播、毒力以及对感染和疫苗诱导免疫的抵抗力的 SARS-CoV-2 变体的风险。SAVE 计划是美国政府 SARS-CoV-2 机构间小组评估 SARS-CoV-2 变体对诊断、疫苗和疗法的影响以及传播公共卫生风险的关键数据生成组成部分。在这里,我们描述了一种协调一致的方法,用于识别和管理有关新兴变体的数据,以及它们对免疫的影响和对疫苗保护的影响,包括使用动物模型。我们报告了通过监测人群中的病毒进化来识别可能降低对策有效性的变体,从而促进试剂、方法、模型和显著发现的开发,并确定了未来的挑战。该计划是通过监测人群中的病毒进化来识别可能降低对策有效性的变体,从而为应对具有大流行潜力的快速进化病原体提供了一个模板。