A cell-free high throughput assay for assessment of SARS-CoV-2 neutralizing antibodies.


Journal

New biotechnology
ISSN: 1876-4347
Titre abrégé: N Biotechnol
Pays: Netherlands
ID NLM: 101465345

Informations de publication

Date de publication:
25 Jan 2022
Historique:
received: 20 05 2021
revised: 04 10 2021
accepted: 05 10 2021
pubmed: 11 10 2021
medline: 24 12 2021
entrez: 10 10 2021
Statut: ppublish

Résumé

Highly accurate serological tests are key to assessing the prevalence of SARS-CoV-2 antibodies and the level of immunity in the population. This is important to predict the current and future status of the pandemic. With the recent emergence of new and more infectious SARS-CoV-2 variants, assays allowing for high throughput analysis of antibodies able to neutralize SARS-CoV-2 become even more important. Here, we report the development and validation of a robust, high throughput method, which enables the assessment of antibodies inhibiting the binding between the SARS-CoV-2 spike protein and angiotensin converting enzyme 2 (ACE2). The assay uses recombinantly produced spike-f and ACE2 and is performed in a bead array format, which allows analysis of up to 384 samples in parallel per instrument over seven hours, demanding only one hour of manual handling. The method is compared to a microneutralization assay utilising live SARS-CoV-2 and is shown to deliver highly correlating data. Further, a comparison with a serological method that measures all antibodies recognizing the spike protein shows that this type of assessment provides important insights into the neutralizing efficiency of the antibodies, especially for individuals with low antibody levels. This method can be an important and valuable tool for large-scale assessment of antibody-based neutralization, including neutralization of new spike variants that might emerge.

Identifiants

pubmed: 34628049
pii: S1871-6784(21)00091-1
doi: 10.1016/j.nbt.2021.10.002
pmc: PMC8495044
pii:
doi:

Substances chimiques

Antibodies, Neutralizing 0
Antibodies, Viral 0
Spike Glycoprotein, Coronavirus 0
spike protein, SARS-CoV-2 0
Angiotensin-Converting Enzyme 2 EC 3.4.17.23

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

46-52

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Auteurs

Sara Mravinacova (S)

Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.

Malin Jönsson (M)

Division of Protein Technology, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.

Wanda Christ (W)

Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.

Jonas Klingström (J)

Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.

Jamil Yousef (J)

Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.

Cecilia Hellström (C)

Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.

My Hedhammar (M)

Division of Protein Technology, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.

Sebastian Havervall (S)

Division of Internal Medicine, Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden.

Charlotte Thålin (C)

Division of Internal Medicine, Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden.

Elisa Pin (E)

Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.

Hanna Tegel (H)

Division of Protein Technology, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.

Peter Nilsson (P)

Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.

Anna Månberg (A)

Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.

Sophia Hober (S)

Division of Protein Technology, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden. Electronic address: sophia@kth.se.

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Classifications MeSH