Data for: Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis
SND-ID: 2024-400. Version: 1. DOI: https://doi.org/10.48360/jcps-gw67
Associated documentation
Citation
Creator/Principal investigator(s)
Mika Gustafsson - Linköping University
Jan Ernerudh
- Linköping University
Tomas Olsson
- Karoinska Institute
Research principal
Description
Protein levels were measured in cerebrospinal fluid samples (CSF; n = 186) and plasma samples (n = 165) from persons with multiple sclerosis and healthy controls. CSF samples and plasma samples were taken from 92 persons with CIS or RRMS at Linköping University Hospital, Sweden and 51 persons with CIS or RRMS at the Karolinska University Hospital, Sweden. Everyone fulfilled the revised McDonald criteria from 2010 and 2017 for CIS or Multiple sclerosis (MS). Age-matched healthy controls (HC) were recruited from healthy blood donors (23 at the Linköping University hospital and 20 at the Karolinska University Hospital). The concentration of 1463 proteins were measured using the Olink Explore platform which uses Proximity Extension Assay (PEA) technology. The proteins were 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.
R
Raw data: supplementary information to publication
For access to dataset, please contact mika.gustafsson@liu.se for further information.
Research funders:
Swedish Foundation for Strategic Research (SB16-0011)
Swedish Brain Foundation
Knut and Alice Wallenberg Foundation
Margareth AF Ugglas Foundation
Swedish Research Council (2019-04193, 2018-02776, 2020-02700, 2021-03092)
Swedish Knowledge Foundation (2020-0014)
Medical Research Council of Southeast Sweden (FORSS-315121)
NEURO Sweden (F2018-0052)
ALF grants
Region Östergötland
Swedish Foundation for MS Research
European Union's Marie Sklodowska-Curie (813863)
The dataset was originally published in DiVA and moved to SND in 2024. Show less..
Data contains personal data
No
Language
Data format / data structure
Research area
Bioinformatics (computational biology) (Standard för svensk indelning av forskningsämnen 2011)
Bioinformatics and systems biology (Standard för svensk indelning av forskningsämnen 2011)
Neurology (Standard för svensk indelning av forskningsämnen 2011)
Rheumatology and autoimmunity (Standard för svensk indelning av forskningsämnen 2011)
Keywords
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
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