The alpha/B.1.1.7 SARS-CoV-2 variant exhibits significantly higher affinity for ACE-2 and requires lower inoculation doses to cause disease in K18-hACE2 mice

  1. Rafael Bayarri-Olmos
  2. Laust Bruun Johnsen
  3. Manja Idorn
  4. Line S Reinert
  5. Anne Rosbjerg
  6. Søren Vang
  7. Cecilie Bo Hansen
  8. Charlotte Helgstrand
  9. Jais Rose Bjelke
  10. Theresa Bak-Thomsen
  11. Soren Paludan
  12. Peter Garred
  13. Mikkel-Ole Skjoedt  Is a corresponding author
  1. Copenhagen University Hospital, Denmark
  2. Novo Nordisk A/S, Denmark
  3. Aarhus University, Denmark
  4. Aarhus University Hospital, Denmark

Abstract

The alpha/B.1.1.7 SARS-CoV-2 lineage emerged in autumn 2020 in the United Kingdom and transmitted rapidly until winter 2021 when it was responsible for most new COVID-19 cases in many European countries. The incidence domination was likely due to a fitness advantage that could be driven by the RBD residue change (N501Y), which also emerged independently in other Variants of Concern such as the beta/B.1.351 and gamma/P.1 strains. Here we present a functional characterization of the alpha/B.1.1.7 variant and show an eight-fold affinity increase towards human ACE-2. In accordance with this, transgenic hACE-2 mice showed a faster disease progression and severity after infection with a low dose of B.1.1.7, compared to an early 2020 SARS-CoV-2 isolate. When challenged with sera from convalescent individuals or anti-RBD monoclonal antibodies, the N501Y variant showed a minor, but significant elevated evasion potential of ACE-2/RBD antibody neutralization. The data suggest that the single asparagine to tyrosine substitution remarkable rise in affinity may be responsible for the higher transmission rate and severity of the B.1.1.7 variant.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files. We have no restrictions with regards to data availability.

Article and author information

Author details

  1. Rafael Bayarri-Olmos

    Laboratory of Molecular Medicine, Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  2. Laust Bruun Johnsen

    Novo Nordisk A/S, Måløv, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  3. Manja Idorn

    Department of Biomedicine, Aarhus University, Århus, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  4. Line S Reinert

    Department of Biomedicine, Aarhus University, Århus, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  5. Anne Rosbjerg

    Recombinant Protein and Antibody Laboratory, Copenhagen University Hospital, Copenhagen, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  6. Søren Vang

    Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  7. Cecilie Bo Hansen

    Laboratory of Molecular Medicine, Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  8. Charlotte Helgstrand

    Novo Nordisk A/S, Måløv, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  9. Jais Rose Bjelke

    Novo Nordisk A/S, Måløv, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  10. Theresa Bak-Thomsen

    Novo Nordisk A/S, Måløv, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  11. Soren Paludan

    Department of Biomedicine, Aarhus University, Århus, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  12. Peter Garred

    Laboratory of Molecular Medicine, Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
    Competing interests
    The authors declare that no competing interests exist.
  13. Mikkel-Ole Skjoedt

    Laboratory of Molecular Medicine, Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
    For correspondence
    moskjoedt@sund.ku.dk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1306-6482

Funding

Carlsbergfondet (CF20-0045)

  • Rafael Bayarri-Olmos
  • Anne Rosbjerg
  • Peter Garred
  • Mikkel-Ole Skjoedt

Novo Nordisk Fonden (NFF205A0063505)

  • Rafael Bayarri-Olmos
  • Anne Rosbjerg
  • Peter Garred
  • Mikkel-Ole Skjoedt

Novo Nordisk Fonden (NNF20OC0063436)

  • Rafael Bayarri-Olmos
  • Anne Rosbjerg
  • Peter Garred
  • Mikkel-Ole Skjoedt

Novo Nordisk Fonden (NNF20SA0064201)

  • Rafael Bayarri-Olmos
  • Anne Rosbjerg
  • Peter Garred
  • Mikkel-Ole Skjoedt

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Animal experimentation: The Danish Animal Experiments Inspectorate has approved the experimental animal procedures and were carried out in accordance with the Danish Animal Welfare Act for the Care and Use of Animals for Scientific Purposes. (License ID 2019-15-0201-00090 and 2020-15-0201-00726). All procedures followed the recommendations of the Animal Facilities at the Universities of Copenhagen and Aarhus.

Human subjects: The collection and use of blood samples have been approved by the Regional Ethical Committee of the Capital Region of Denmark (H-20028627) and (H-20079890). The human studies were conducted in agreement with the Helsinki declaration. We have received informed consent to do the examinations included in this study including to publish data.

Copyright

© 2021, Bayarri-Olmos et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,239
    views
  • 125
    downloads
  • 29
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Rafael Bayarri-Olmos
  2. Laust Bruun Johnsen
  3. Manja Idorn
  4. Line S Reinert
  5. Anne Rosbjerg
  6. Søren Vang
  7. Cecilie Bo Hansen
  8. Charlotte Helgstrand
  9. Jais Rose Bjelke
  10. Theresa Bak-Thomsen
  11. Soren Paludan
  12. Peter Garred
  13. Mikkel-Ole Skjoedt
(2021)
The alpha/B.1.1.7 SARS-CoV-2 variant exhibits significantly higher affinity for ACE-2 and requires lower inoculation doses to cause disease in K18-hACE2 mice
eLife 10:e70002.
https://doi.org/10.7554/eLife.70002

Share this article

https://doi.org/10.7554/eLife.70002

Further reading

    1. Immunology and Inflammation
    Eugenio Antonio Carrera Silva, Juliana Puyssegur, Andrea Emilse Errasti
    Review Article

    The gut biome, a complex ecosystem of micro- and macro-organisms, plays a crucial role in human health. A disruption in this evolutive balance, particularly during early life, can lead to immune dysregulation and inflammatory disorders. ‘Biome repletion’ has emerged as a potential therapeutic approach, introducing live microbes or helminth-derived products to restore immune balance. While helminth therapy has shown some promise, significant challenges remain in optimizing clinical trials. Factors such as patient genetics, disease status, helminth species, and the optimal timing and dosage of their products or metabolites must be carefully considered to train the immune system effectively. We aim to discuss how helminths and their products induce trained immunity as prospective to treat inflammatory and autoimmune diseases. The molecular repertoire of helminth excretory/secretory products (ESPs), which includes proteins, peptides, lipids, and RNA-carrying extracellular vesicles (EVs), underscores their potential to modulate innate immune cells and hematopoietic stem cell precursors. Mimicking natural delivery mechanisms like synthetic exosomes could revolutionize EV-based therapies and optimizing production and delivery of ESP will be crucial for their translation into clinical applications. By deciphering and harnessing helminth-derived products’ diverse modes of action, we can unleash their full therapeutic potential and pave the way for innovative treatments.

    1. Cell Biology
    2. Immunology and Inflammation
    Mykhailo Vladymyrov, Luca Marchetti ... Britta Engelhardt
    Tools and Resources

    The endothelial blood-brain barrier (BBB) strictly controls immune cell trafficking into the central nervous system (CNS). In neuroinflammatory diseases such as multiple sclerosis, this tight control is, however, disturbed, leading to immune cell infiltration into the CNS. The development of in vitro models of the BBB combined with microfluidic devices has advanced our understanding of the cellular and molecular mechanisms mediating the multistep T-cell extravasation across the BBB. A major bottleneck of these in vitro studies is the absence of a robust and automated pipeline suitable for analyzing and quantifying the sequential interaction steps of different immune cell subsets with the BBB under physiological flow in vitro. Here, we present the under-flow migration tracker (UFMTrack) framework for studying immune cell interactions with endothelial monolayers under physiological flow. We then showcase a pipeline built based on it to study the entire multistep extravasation cascade of immune cells across brain microvascular endothelial cells under physiological flow in vitro. UFMTrack achieves 90% track reconstruction efficiency and allows for scaling due to the reduction of the analysis cost and by eliminating experimenter bias. This allowed for an in-depth analysis of all behavioral regimes involved in the multistep immune cell extravasation cascade. The study summarizes how UFMTrack can be employed to delineate the interactions of CD4+ and CD8+ T cells with the BBB under physiological flow. We also demonstrate its applicability to the other BBB models, showcasing broader applicability of the developed framework to a range of immune cell-endothelial monolayer interaction studies. The UFMTrack framework along with the generated datasets is publicly available in the corresponding repositories.