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1.
Cell ; 182(4): 812-827.e19, 2020 08 20.
Article in English | MEDLINE | ID: mdl-32697968

ABSTRACT

A SARS-CoV-2 variant carrying the Spike protein amino acid change D614G has become the most prevalent form in the global pandemic. Dynamic tracking of variant frequencies revealed a recurrent pattern of G614 increase at multiple geographic levels: national, regional, and municipal. The shift occurred even in local epidemics where the original D614 form was well established prior to introduction of the G614 variant. The consistency of this pattern was highly statistically significant, suggesting that the G614 variant may have a fitness advantage. We found that the G614 variant grows to a higher titer as pseudotyped virions. In infected individuals, G614 is associated with lower RT-PCR cycle thresholds, suggestive of higher upper respiratory tract viral loads, but not with increased disease severity. These findings illuminate changes important for a mechanistic understanding of the virus and support continuing surveillance of Spike mutations to aid with development of immunological interventions.


Subject(s)
Betacoronavirus/genetics , Betacoronavirus/pathogenicity , Coronavirus Infections/virology , Pneumonia, Viral/virology , Spike Glycoprotein, Coronavirus/genetics , COVID-19 , Coronavirus Infections/epidemiology , Coronavirus Infections/physiopathology , Epidemiological Monitoring , Genetic Fitness , Genetic Variation , Geographic Information Systems , Hospitalization , Humans , Pandemics , Phylogeny , Pneumonia, Viral/epidemiology , Pneumonia, Viral/physiopathology , Respiratory System/virology , SARS-CoV-2 , Severity of Illness Index , Viral Load
2.
Nature ; 605(7911): 640-652, 2022 05.
Article in English | MEDLINE | ID: mdl-35361968

ABSTRACT

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.


Subject(s)
COVID-19 , SARS-CoV-2 , Animals , Biological Evolution , COVID-19 Vaccines , Humans , National Institute of Allergy and Infectious Diseases (U.S.) , Pandemics/prevention & control , Pharmacogenomic Variants , SARS-CoV-2/genetics , SARS-CoV-2/pathogenicity , United States/epidemiology , Virulence
3.
Emerg Infect Dis ; 29(5)2023 05.
Article in English | MEDLINE | ID: mdl-37054986

ABSTRACT

Since late 2020, SARS-CoV-2 variants have regularly emerged with competitive and phenotypic differences from previously circulating strains, sometimes with the potential to escape from immunity produced by prior exposure and infection. The Early Detection group is one of the constituent groups of the US National Institutes of Health National Institute of Allergy and Infectious Diseases SARS-CoV-2 Assessment of Viral Evolution program. The group uses bioinformatic methods to monitor the emergence, spread, and potential phenotypic properties of emerging and circulating strains to identify the most relevant variants for experimental groups within the program to phenotypically characterize. Since April 2021, the group has prioritized variants monthly. Prioritization successes include rapidly identifying most major variants of SARS-CoV-2 and providing experimental groups within the National Institutes of Health program easy access to regularly updated information on the recent evolution and epidemiology of SARS-CoV-2 that can be used to guide phenotypic investigations.


Subject(s)
COVID-19 , SARS-CoV-2 , United States/epidemiology , Humans , SARS-CoV-2/genetics , COVID-19/epidemiology , National Institutes of Health (U.S.)
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