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1.
Nat Aging ; 3(6): 722-733, 2023 Jun.
Article in English | MEDLINE | ID: mdl-37217661

ABSTRACT

Coronavirus Disease 2019 (COVID-19) vaccination has resulted in excellent protection against fatal disease, including in older adults. However, risk factors for post-vaccination fatal COVID-19 are largely unknown. We comprehensively studied three large nursing home outbreaks (20-35% fatal cases among residents) by combining severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) aerosol monitoring, whole-genome phylogenetic analysis and immunovirological profiling of nasal mucosa by digital nCounter transcriptomics. Phylogenetic investigations indicated that each outbreak stemmed from a single introduction event, although with different variants (Delta, Gamma and Mu). SARS-CoV-2 was detected in aerosol samples up to 52 d after the initial infection. Combining demographic, immune and viral parameters, the best predictive models for mortality comprised IFNB1 or age, viral ORF7a and ACE2 receptor transcripts. Comparison with published pre-vaccine fatal COVID-19 transcriptomic and genomic signatures uncovered a unique IRF3 low/IRF7 high immune signature in post-vaccine fatal COVID-19 outbreaks. A multi-layered strategy, including environmental sampling, immunomonitoring and early antiviral therapy, should be considered to prevent post-vaccination COVID-19 mortality in nursing homes.


Subject(s)
COVID-19 , Humans , Aged , Phylogeny , COVID-19/epidemiology , SARS-CoV-2/genetics , Nursing Homes , Vaccination , Disease Outbreaks/prevention & control
2.
Nat Commun ; 13(1): 1152, 2022 03 03.
Article in English | MEDLINE | ID: mdl-35241661

ABSTRACT

In spring 2021, an increasing number of infections was observed caused by the hitherto rarely described SARS-CoV-2 variant A.27 in south-west Germany. From December 2020 to June 2021 this lineage has been detected in 31 countries. Phylogeographic analyses of A.27 sequences obtained from national and international databases reveal a global spread of this lineage through multiple introductions from its inferred origin in Western Africa. Variant A.27 is characterized by a mutational pattern in the spike gene that includes the L18F, L452R and N501Y spike amino acid substitutions found in various variants of concern but lacks the globally dominant D614G. Neutralization assays demonstrate an escape of A.27 from convalescent and vaccine-elicited antibody-mediated immunity. Moreover, the therapeutic monoclonal antibody Bamlanivimab and partially the REGN-COV2 cocktail fail to block infection by A.27. Our data emphasize the need for continued global monitoring of novel lineages because of the independent evolution of new escape mutations.


Subject(s)
COVID-19/immunology , COVID-19/virology , Pandemics , SARS-CoV-2/immunology , Africa, Western/epidemiology , Amino Acid Substitution , Antibodies, Monoclonal, Humanized/pharmacology , Antibodies, Neutralizing/immunology , Antibodies, Neutralizing/pharmacology , Antibodies, Viral/immunology , Antiviral Agents/pharmacology , COVID-19/transmission , Drug Combinations , Germany/epidemiology , Global Health , Humans , Immune Evasion/genetics , Mutation , Phylogeography , SARS-CoV-2/drug effects , SARS-CoV-2/genetics , Spike Glycoprotein, Coronavirus/chemistry , Spike Glycoprotein, Coronavirus/genetics , Spike Glycoprotein, Coronavirus/immunology
3.
Nat Commun ; 12(1): 5705, 2021 09 29.
Article in English | MEDLINE | ID: mdl-34588460

ABSTRACT

COVID-19 transmission rates are often linked to locally circulating strains of SARS-CoV-2. Here we describe 203 SARS-CoV-2 whole genome sequences analyzed from strains circulating in Rwanda from May 2020 to February 2021. In particular, we report a shift in variant distribution towards the emerging sub-lineage A.23.1 that is currently dominating. Furthermore, we report the detection of the first Rwandan cases of the B.1.1.7 and B.1.351 variants of concern among incoming travelers tested at Kigali International Airport. To assess the importance of viral introductions from neighboring countries and local transmission, we exploit available individual travel history metadata to inform spatio-temporal phylogeographic inference, enabling us to take into account infections from unsampled locations. We uncover an important role of neighboring countries in seeding introductions into Rwanda, including those from which no genomic sequences were available. Our results highlight the importance of systematic genomic surveillance and regional collaborations for a durable response towards combating COVID-19.


Subject(s)
COVID-19/virology , Genome, Viral/genetics , SARS-CoV-2/genetics , Travel-Related Illness , Adult , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/transmission , Epidemiological Monitoring , Female , Humans , Male , Phylogeny , Phylogeography , RNA, Viral/genetics , RNA, Viral/isolation & purification , Rwanda/epidemiology , SARS-CoV-2/isolation & purification , SARS-CoV-2/pathogenicity , Whole Genome Sequencing
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