Evidence map›Paper›PMID 39414823›Full record

ArticleNature communications2024

Prevalent and persistent new-onset autoantibodies in mild to severe COVID-19.

August F Jernbom, Lovisa Skoglund, Elisa Pin, Ronald Sjöberg, Hanna Tegel, Sophia Hober, Elham Rostami, Annica Rasmusson, Janet L Cunningham, Sebastian Havervall and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

13 authors.

August F JernbomDivision of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden. august.jernbom@scilifelab.se.ORCID 0000-0002-7773-1851
Lovisa SkoglundDivision of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID 0009-0002-7863-1972
Elisa PinDivision of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0002-2158-2674
Ronald SjöbergDivision of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0003-1363-5796
Hanna TegelDivision of Protein Technology, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0002-7067-9173
Sophia HoberDivision of Protein Technology, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0003-0605-8417
Elham RostamiSection of Neurosurgery, Department of Medical Sciences, Uppsala University Hospital, Uppsala, Sweden.ORCID 0000-0003-1218-6247
Annica RasmussonDepartment of Medical Sciences, Psychiatry, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-7228-7755
Janet L CunninghamDepartment of Medical Sciences, Psychiatry, Uppsala University, Uppsala, Sweden.ORCID 0000-0001-7876-7779
Sebastian HavervallDepartment of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden.
Charlotte ThålinDepartment of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden.ORCID 0000-0002-1345-6491
Anna MånbergDivision of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0002-0056-1313
Peter NilssonDivision of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0002-4657-8532

Funding

Vetenskapsrådet (Swedish Research Council) 2022-03063
6 · The paper itself

Abstract

Autoantibodies have been shown to be implied in COVID-19 but the emerging autoantibody repertoire remains largely unexplored. We investigated the new-onset autoantibody repertoire in 525 healthcare workers and hospitalized COVID-19 patients at five time points over a 16-month period in 2020 and 2021 using proteome-wide and targeted protein and peptide arrays. Our results show that prevalent new-onset autoantibodies against a wide range of antigens emerged following SARS-CoV-2 infection in relation to pre-infectious baseline samples and remained elevated for at least 12 months. We found an increased prevalence of new-onset autoantibodies after severe COVID-19 and demonstrated associations between distinct new-onset autoantibodies and neuropsychiatric symptoms post-COVID-19. Using epitope mapping, we determined the main epitopes of selected new-onset autoantibodies, validated them in independent cohorts of neuro-COVID and pre-pandemic healthy controls, and identified sequence similarities suggestive of molecular mimicry between main epitopes and the conserved fusion peptide of the SARS-CoV-2 Spike glycoprotein. Our work describes the complexity and dynamics of the autoantibody repertoire emerging with COVID-19 and supports the need for continued analysis of the new-onset autoantibody repertoire to elucidate the mechanisms of the post-COVID-19 condition.

Indexed as

AutoantibodiesCOVID-19SARS-CoV-2AdultAgedEpitope MappingEpitopesFemaleHealth PersonnelHumansMaleMiddle AgedMolecular MimicrySeverity of Illness IndexSpike Glycoprotein, CoronavirusAutoantibodiesEpitopesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID39414823
PMCPMC11484904

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.