Data for: Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis
type: Dataset
description: The concentration of 1463 proteins were measured using the Olink Explore platform which uses Proximity Extension Assay (PEA) technology. The proteins are preselected from four Olink panels: Explore 384 Cardiometabolic, Explore 384 Inflammation, Explore 384 Neurology, and Explore 384 Oncology. The protein concentrations are given as Olink’s relative protein quantification unit on log2 scale: Normalized Protein Expression (NPX). The NPX values were intensity normalized by Olink. Protein levels were measured in cerebrospinal fluid samples (n = 186) and plasma samples (n = 165) from persons with multiple sclerosis and healthy controls. The dataset was originally published in DiVA and moved to SND in 2024.
citation: CreativeWork
  name: Åkesson, J., Hojjati, S., Hellberg, S., Raffetseder, J., Khademi, M., Rynkowski, R., … Gustafsson, M. (2023). Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-42682-9
conditions of access: https://publications.europa.eu/resource/authority/access-right/NON_PUBLIC
conditions of access: info:eu-repo/semantics/restrictedAccess
creative work status: completed
  type: DefinedTerm
  in defined term set: http://publications.europa.eu/resource/authority/dataset-status
  term code: COMPLETED
creator: Mika Gustafsson
  type: Person
  affiliation: Linköping University
  family name: Gustafsson
  given name: Mika
creator: Jan Ernerudh
creator: Tomas Olsson
date modified: 2025-07-04
date published: 2023-09-22
funding: Grant
  funder: European Union's Marie Sklodowska-Curie
funding: Grant
  funder: Swedish Brain Foundation
funding: Grant
  funder: Swedish Foundation for Strategic Research
funding: Grant
  funder: Knut and Alice Wallenberg Foundation
funding: Grant
  funder: Margareth AF Ugglas Foundation
funding: Grant
  funder: Swedish Research Council
funding: Grant
  funder: Swedish Knowledge Foundation
funding: Grant
  funder: Medical Research Council of Southeast Sweden
funding: Grant
  funder: NEURO Sweden
funding: Grant
  funder: ALF grants
funding: Grant
  funder: Östergötland Region
funding: Grant
  funder: Swedish Foundation for MS Research
language: English
is part of: https://doi.org/10.5878/dvyz-dz88
keywords: Specific diseases, disorders and medical conditions
keywords: Bioinformatics (Computational Biology)
  type: DefinedTerm
  term code: 10203
keywords: Bioinformatics and Computational Biology
  type: DefinedTerm
  description: Including: Modelling, Machine Learning
  term code: 10610
keywords: Neurology
  type: DefinedTerm
  term code: 30207
keywords: Autoimmunity and Inflammation
  type: DefinedTerm
  term code: 30226
keywords: Proteomics
keywords: Multiple sclerosis
publisher: Linköping University
distribution: documentation/PREVIEW02.jpg
  type: DataDownload
  additional type: documentation
  conditions of access: http://publications.europa.eu/resource/authority/access-right/PUBLIC
  conditions of access: info:eu-repo/semantics/openAccess
  content size: 150003
  encoding format: image/jpeg
version: 1

PropertyValue
property ID: DOI
value: 10.48360/jcps-gw67

Linköping University
type: Organization
department: Department of Physics, Chemistry and Biology
department: Department of Biomedical and Clinical Sciences

Jan Ernerudh
type: Person
affiliation: Linköping University
family name: Ernerudh
given name: Jan

Tomas Olsson
type: Person
affiliation: Karolinska Institute
family name: Olsson
given name: Tomas

Karolinska Institute
type: Organization
department: Department of Clinical Neuroscience

English
type: Language
alternate name: eng

Specific diseases, disorders and medical conditions
type: DefinedTerm
description: Data on specific, diagnosed diseases, disorders or syndromes (often classified in ICD-10 or its earlier versions). For example, medical research on infectious diseases or the causes of diabetes, or data on the physical and mental recovery of people who have had heart surgery.
term code: Health.SpecificDiseasesDisordersAndMedicalConditions

Proteomics
type: DefinedTerm
description: The systematic study of the complete complement of proteins (PROTEOME) of organisms.
term code: D040901

Multiple sclerosis
type: DefinedTerm
term code: G35