Prevalent and persistent new-onset autoantibodies in mild to severe COVID-19
type: Dataset
distribution: Landing page for the dataset
description: Note: The DOI of the related paper will be provided upon publication. These datasets contain information on autoantibody and anti-SARS-CoV-2 IgG levels. In this study, 478 healthcare workers and 48 patients were followed prospectively over 5 visits from May 2020 to Sept 2021. SARS-CoV-2 serology and autoantibodies were assessed using planar and bead-based arrays. Detected epitopes were validated in blood and cerebrospinal fluid from two independent cohorts of Neuro-COVID patients (n=25) and pre-pandemic healthy controls (n=29). The datasets contain: - SARS-CoV-2 serological profiles measured in all samples (above) using 3-plex bead arrays. The data is reported as raw and normalized MFI (AU) and compound serostatus. - Proteome-wide autoantibody profiles measured in 12 sample pools using planar arrays. The data is reported as median fluorescent intensity, in raw and normalized arbitrary units (MFI [AU]), and reactivity classification. - Targeted autoantibody profiles measured in 478 healthcare workers and 48 patients across 5 time points using 363-plex bead arrays. The data is reported as raw and normalized MFI (AU), fold change (FC) across infection, and new-onset classification. - Peptide epitope mapping autoantibody profiles measured in a 142 healthcare workers and COVID-19 patients across 2 time points, and all Neuro-COVID patients (n=25) and pre-pandemic healthy controls (n=29), using 93-plex bead arrays. The data is reported as raw and normalized MFI (AU), and fold change (FC) across infection. Source data is provided with the paper. Access to this individual-level human data can be granted for non-commercial validation purposes and upon reasonable request to the provided contact. A reasonable request should contain the following: - Name of PI and host organization - Contact details - The scientific purpose of the data access request - Commitment to inform when the data has been used in a publication - Commitment not to host or share the data outside the request…
modified: 2024-07-22T00:00:00Z
issued: 2024-07-22T00:00:00Z
publisher: Royal Institute of Technology
theme: HEAL
qualified attribution: Attribution
  had role: principalInvestigator
  agent: August Jernbom
    type: Agent
    account: https://orcid.org/0000-0002-7773-1851
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Lovisa Skoglund
    type: Agent
    type: PrivateIndividual(s)
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  had role: principalInvestigator
  agent: Elisa Pin
    type: Agent
    account: https://orcid.org/0000-0002-2158-2674
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Ronald Sjöberg
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Hanna Tegel
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Sophia Hober
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Elham Rostami
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Annica Rasmusson
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Janet L. Cunningham
    type: Agent
    account: https://orcid.org/0000-0001-7876-7779
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Sebastian Havervall
    type: Agent
    account: https://orcid.org/0000-0003-1671-8183
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Charlotte Thålin
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Anna Månberg
    type: Agent
    account: https://orcid.org/0000-0002-0056-1313
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Peter Nilsson
    type: Agent
    account: https://orcid.org/0000-0002-4657-8532
    type: PrivateIndividual(s)
keyword: Humoural immunology and immunochemistry
keyword: Autoimmunity
keyword: Proteomics and metabolomics

Landing page for the dataset
type: Distribution
title: Landningssida för datasetet @sv
access URL: Prevalent and persistent new-onset autoantibodies in mild to severe COVID-19
availability: stable

Royal Institute of Technology
type: Agent
name: Kungliga Tekniska högskolan @sv
type: Academia-ScientificOrganisation
source: 026vcq606