Data for: Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis
Citation and access
Citation and access
Data access level:
Creator/Principal investigator(s):
- Mika Gustafsson - Linköping university - Department of Physics, Chemistry and Biology
Research principal:
Data contains personal data:
Yes
Type of personal data:
The data is pseudonymised and contains information if samples are from persons with MS or healthy controls, and the age and sex of these persons.
Code key exists:
Yes
Sensitive personal data:
Yes
Citation:
Language:
Method and outcome
Method and outcome
Population:
Cerebrospinal fluid (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).
Time method:
Study design:
- Observational study
- Case-control study
Data format/data structure:
Administrative information
Administrative information
Other research principals:
Ethics Review 1:
Linköping - 2017/288-31
Ethics Review 2:
Linköping - 2016/305-32
Ethics Review 3:
Stockholm - 2022-03650-02
Ethics Review 4:
Linköping - 2013/155-32
Ethics Review 5:
Linköping - 2016/304-32
Ethics Review 6:
Linköping - 2014/311-31
Funding
Funding
Funding agency:
- European Union's Marie Sklodowska-Curie
Funding agency:
- Swedish Brain Foundation
Funding agency:
- Swedish Foundation for Strategic Research
Funding agency:
- Knut and Alice Wallenberg Foundation
Funding agency:
- Margareth AF Ugglas Foundation
Funding agency:
- Swedish Research Council
Funding agency:
- Swedish Knowledge Foundation
Funding agency:
- Medical Research Council of Southeast Sweden
Funding agency:
- NEURO Sweden
Funding agency:
- ALF grants
Funding agency:
- Region Östergötland
Funding agency:
- Swedish Foundation for MS Research
Topic and keywords
Topic and keywords
CESSDA Topic Classification:
Standard för svensk indelning av forskningsämnen 2025:
Keywords:
Metadata
Metadata
