kth.sePublications KTH
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Prevalent and persistent new-onset autoantibodies in mild to severe COVID-19
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Affinity Proteomics. KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0002-7773-1851
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Affinity Proteomics. KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0009-0002-7863-1972
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Affinity Proteomics. KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0002-2158-2674
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Affinity Proteomics. KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0003-1363-5796
Show others and affiliations
2024 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 15, no 1, article id 8941Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Nature Research , 2024. Vol. 15, no 1, article id 8941
National Category
Immunology in the medical area
Identifiers
URN: urn:nbn:se:kth:diva-355430DOI: 10.1038/s41467-024-53356-5ISI: 001336260600001PubMedID: 39414823Scopus ID: 2-s2.0-85206586410OAI: oai:DiVA.org:kth-355430DiVA, id: diva2:1909174
Note

QC 20241111

Available from: 2024-10-30 Created: 2024-10-30 Last updated: 2024-11-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Jernbom Falk, AugustSkoglund, LovisaPin, ElisaSjöberg, RonaldTegel, HannaHober, SophiaMånberg, AnnaNilsson, Peter

Search in DiVA

By author/editor
Jernbom Falk, AugustSkoglund, LovisaPin, ElisaSjöberg, RonaldTegel, HannaHober, SophiaMånberg, AnnaNilsson, Peter
By organisation
Affinity ProteomicsScience for Life Laboratory, SciLifeLabProtein Technology
In the same journal
Nature Communications
Immunology in the medical area

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 124 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf