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Data for: Proteomic...
Data for: Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis
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- Gustafsson, Mika, 1977- (author)
- Linköpings universitet,Bioinformatik,Tekniska fakulteten
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- Ernerudh, Jan, 1952- (author)
- Linköpings universitet,Avdelningen för inflammation och infektion,Medicinska fakulteten,Region Östergötland, Klinisk immunologi och transfusionsmedicin
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- Olsson, Tomas (author)
- Department of Clinical Neuroscience, Karolinska Institute
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(creator_code:org_t)
- 2023
- English <p>Raw data: supplementary information to publication</p> s.
- Related links:
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Abstract
Subject headings
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- 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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Neurologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Neurology (hsv//eng)
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Reumatologi och inflammation (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Rheumatology and Autoimmunity (hsv//eng)
Keyword
- multiple sclerosis
- proteomics
Publication and Content Type
- ovr (subject category)
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