Multiple Sclerosis Biomarker Data for Disability and Cognitive Decline Prediction

A multicenter longitudinal study with 146 participants at baseline and a 10-year follow-up cohort of 40 people with MS. This dataset likely contains plasma cytokine and cerebrospinal fluid reactive oxygen species measurements used to predict disability progression and long-term cognitive decline in primary progressive multiple sclerosis. The data was authored by Albert Miguela and shared under a CC-BY-4.0 license on figshare.

Use Cases

• Predicting disability progression in primary progressive MS based on plasma IL-8 levels mentioned in the description
• Modeling long-term cognitive decline based on associations with IL-6 and IL-8 cytokine data
• Analyzing the relationship between cerebrospinal fluid reactive oxygen species and brain atrophy
• Stratifying MS phenotypes using immune-oxidative profiles described in the study

Strengths

• Longitudinal design includes a 10-year follow-up cohort of 40 people with MS
• Multicenter study with 146 participants at baseline across multiple sclerosis phenotypes
• Measures multiple biomarkers including plasma cytokines (IL-6, IL-8, IFNα2) and CSF reactive oxygen species

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Dataset is small at 315.8 KB, indicating limited scope

Provenance

Source

figshare, author Albert Miguela

Collection Method

Multicenter longitudinal study with clinical measurements from two cohorts

Time Range

Study includes a 10-year follow-up period

Freshness

Last updated 2026-04-27 04:11:18; freshness should be verified