Evidence map›Paper›PMID 38228858›Full record

ArticleNature microbiology2024

Evolution of enhanced innate immune suppression by SARS-CoV-2 Omicron subvariants.

Ann-Kathrin Reuschl, Lucy G Thorne, Matthew V X Whelan, Roberta Ragazzini, Wilhelm Furnon, Vanessa M Cowton, Giuditta De Lorenzo, Dejan Mesner, Jane L E Turner, Giulia Dowgier and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Nature microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
25.3field-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

57 citing papers in PubMed, 74 citations in OpenAlex.

  1. Trial
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  7. Overexpression ofJournal of clinical medicine · 2026
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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

16 authors at 6 institutions in 2 countries.

Ann-Kathrin ReuschlDivision of Infection and Immunity, University College London, London, UK. a.reuschl@ucl.ac.uk.ORCID http://orcid.org/0000-0002-1459-3519
Lucy G ThorneDivision of Infection and Immunity, University College London, London, UK.ORCID http://orcid.org/0000-0001-7358-6047
Matthew V X WhelanDivision of Infection and Immunity, University College London, London, UK.ORCID http://orcid.org/0000-0003-0441-3358
Roberta RagazziniDivision of Infection and Immunity, University College London, London, UK.ORCID http://orcid.org/0000-0003-2186-293X
Wilhelm FurnonMRC-University of Glasgow Centre for Virus Research, Glasgow, UK.ORCID http://orcid.org/0000-0002-5588-4232
Vanessa M CowtonMRC-University of Glasgow Centre for Virus Research, Glasgow, UK.ORCID http://orcid.org/0000-0003-1813-7825
Giuditta De LorenzoMRC-University of Glasgow Centre for Virus Research, Glasgow, UK.ORCID http://orcid.org/0000-0002-2736-8740
Dejan MesnerDivision of Infection and Immunity, University College London, London, UK.ORCID http://orcid.org/0000-0002-7109-4011
Jane L E TurnerDivision of Infection and Immunity, University College London, London, UK.
Giulia DowgierDivision of Infection and Immunity, University College London, London, UK.
Nathasha BogodaDivision of Infection and Immunity, University College London, London, UK.
Paola BonfantiDivision of Infection and Immunity, University College London, London, UK.ORCID http://orcid.org/0000-0001-9655-3766
Massimo PalmariniMRC-University of Glasgow Centre for Virus Research, Glasgow, UK.ORCID http://orcid.org/0000-0001-7007-4070
Arvind H PatelMRC-University of Glasgow Centre for Virus Research, Glasgow, UK.ORCID http://orcid.org/0000-0003-4600-2047
Clare Jolly *Division of Infection and Immunity, University College London, London, UK. c.jolly@ucl.ac.uk.ORCID http://orcid.org/0000-0002-4603-2281
Greg J Towers *Division of Infection and Immunity, University College London, London, UK. g.towers@ucl.ac.uk.ORCID http://orcid.org/0000-0002-7707-0264
MRC University of Glasgow Centre for Virus Research · GBUniversity College London · GBThe Francis Crick Institute · GBInstitute of Infection and Immunity · CASt Mary's Hospital · GBThe London College · GB

Funding

Medical Research Council MC_PC_19026Medical Research Council MC_UU_00034/3Medical Research Council MC_UU_00034/8Medical Research Council MC_UU_00034/9Medical Research Council MC_UU_12014/2Medical Research Council MR/S023380/1Medical Research Council MR/W005611/1Medical Research Council MR/Y004205/1Wellcome TrustWellcome Trust 220863Wellcome Trust 223065
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) human adaptation resulted in distinct lineages with enhanced transmissibility called variants of concern (VOCs). Omicron is the first VOC to evolve distinct globally dominant subvariants. Here we compared their replication in human cell lines and primary airway cultures and measured host responses to infection. We discovered that subvariants BA.4 and BA.5 have improved their suppression of innate immunity when compared with earlier subvariants BA.1 and BA.2. Similarly, more recent subvariants (BA.2.75 and XBB lineages) also triggered reduced innate immune activation. This correlated with increased expression of viral innate antagonists Orf6 and nucleocapsid, reminiscent of VOCs Alpha to Delta. Increased Orf6 levels suppressed host innate responses to infection by decreasing IRF3 and STAT1 signalling measured by transcription factor phosphorylation and nuclear translocation. Our data suggest that convergent evolution of enhanced innate immune antagonist expression is a common pathway of human adaptation and link Omicron subvariant dominance to improved innate immune evasion.

Indexed as

COVID-19Cell LineHumansImmune EvasionImmunity, InnateSARS-CoV-2

Identifiers

PMID38228858
PMCPMC10847042
OpenAlexW4390918328

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.