Evidence map›Paper›PMID 36513653›Full record

ArticleNature communications2022

BA.2 and BA.5 omicron differ immunologically from both BA.1 omicron and pre-omicron variants.

Annika Rössler, Antonia Netzl, Ludwig Knabl, Helena Schäfer, Samuel H Wilks, David Bante, Barbara Falkensammer, Wegene Borena, Dorothee von Laer, Derek J Smith and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

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1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Annika Rössler *Institute of Virology, Department of Hygiene, Microbiology and Public Health, Medical University of Innsbruck, Peter-Mayr-Str. 4b, 6020, Innsbruck, Austria.
Antonia Netzl *University of Cambridge, Center for Pathogen Evolution, Department of Zoology, Cambridge, UK.ORCID 0000-0001-8034-2382
Ludwig KnablTyrolpath Obrist Brunhuber GmbH, Hauptplatz 4, 6511, Zams, Austria.
Helena SchäferInstitute of Virology, Department of Hygiene, Microbiology and Public Health, Medical University of Innsbruck, Peter-Mayr-Str. 4b, 6020, Innsbruck, Austria.
Samuel H WilksUniversity of Cambridge, Center for Pathogen Evolution, Department of Zoology, Cambridge, UK.
David BanteInstitute of Virology, Department of Hygiene, Microbiology and Public Health, Medical University of Innsbruck, Peter-Mayr-Str. 4b, 6020, Innsbruck, Austria.
Barbara FalkensammerInstitute of Virology, Department of Hygiene, Microbiology and Public Health, Medical University of Innsbruck, Peter-Mayr-Str. 4b, 6020, Innsbruck, Austria.
Wegene BorenaInstitute of Virology, Department of Hygiene, Microbiology and Public Health, Medical University of Innsbruck, Peter-Mayr-Str. 4b, 6020, Innsbruck, Austria.
Dorothee von LaerInstitute of Virology, Department of Hygiene, Microbiology and Public Health, Medical University of Innsbruck, Peter-Mayr-Str. 4b, 6020, Innsbruck, Austria.ORCID 0000-0001-5825-7237
Derek J SmithUniversity of Cambridge, Center for Pathogen Evolution, Department of Zoology, Cambridge, UK. djs200@cam.ac.uk.ORCID 0000-0002-2393-1890
Janine KimpelInstitute of Virology, Department of Hygiene, Microbiology and Public Health, Medical University of Innsbruck, Peter-Mayr-Str. 4b, 6020, Innsbruck, Austria. Janine.Kimpel@i-med.ac.at.ORCID 0000-0002-5210-7905
Innsbruck Medical University · ATUniversity of Cambridge · GB

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00014 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GARCIA-SASTRE, ADOLFO · 2021 to 2025
$62.6M
Austrian Science Fund FWF P 35159NIAID NIH HHS 75N93021C00014
6 · The paper itself

Abstract

Several studies have shown that SARS-CoV-2 BA.1 omicron is an immune escape variant. Meanwhile, however, omicron BA.2 and BA.5 became dominant in many countries and replaced BA.1. As both have several mutations compared to BA.1, we analyzed whether BA.2 and BA.5 show further immune escape relative to BA.1. Here, we characterized neutralization profiles against the BA.2 and BA.5 omicron sub-variants in plasma samples from individuals with different history of exposures to infection/vaccination and found that unvaccinated individuals after a single exposure to BA.2 had limited cross-neutralizing antibodies to pre-omicron variants and to BA.1. Consequently, our antigenic map including all Variants of Concern and BA.1, BA.2 and BA.5 omicron sub-variants, showed that all omicron sub-variants are distinct to pre-omicron variants, but that the three omicron variants are also antigenically distinct from each other. The antibody landscapes illustrate that cross-neutralizing antibodies against the current antigenic space, as described in our maps, are generated only after three or more exposures to antigenically close variants but also after two exposures to antigenically distant variants. Here, we describe the antigenic space inhabited by the relevant SARS-CoV-2 variants, the understanding of which will have important implications for further vaccine strain adaptations.

Indexed as

COVID-19AcclimatizationAntibodies, NeutralizingAntibodies, ViralBroadly Neutralizing AntibodiesHumansSARS-CoV-2Antibodies, NeutralizingAntibodies, ViralBroadly Neutralizing Antibodies

Identifiers

PMID36513653
PMCPMC9745279
OpenAlexW4311822700

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.