ArticlePloS one2023
Prospective outcome analysis of multiple sclerosis cases reveals candidate prognostic cerebrospinal fluid markers.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Serum Metabolomic Profiling in Possible Early-Stage Multiple Sclerosis: A TargetedJournal of molecular neuroscience : MN · 2025Article
- Apolipoprotein A (ApoA) in Neurological Disorders: Connections and Insights.International journal of molecular sciences · 2025Review
- Proteomic analysis reveals candidate molecules to mediate cortical pathology and identify possible biomarkers in an animal model of multiple sclerosis.Frontiers in immunology · 2025Article
- The Canadian collaborative project on genetic susceptibility to multiple sclerosis cohort population structure and disease etiology.Frontiers in neurology · 2025Article
- Explainable machine learning on baseline MRI predicts multiple sclerosis trajectory descriptors.PloS one · 2024Article
- Big data and artificial intelligence applied to blood and CSF fluid biomarkers in multiple sclerosis.Frontiers in immunology · 2024Review
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPredicting the long-term disability outcomes of multiple sclerosis (MS) cases is challenging.
objectiveWe prospectively analysed our previous MS cohort with initial cerebrospinal fluid (CSF) proteomics data to reveal disability markers after 8.2±2.2 years of follow-up.
methodsPatients with regular follow-up visits were assigned into two groups: those with an age-related MS severity (ARMSS) score ≥5 (unfavourable course group, N = 27) and ARMSS score <5 (favourable course group, N = 67). A machine learning-based algorithm was applied to reveal candidate poor prognosis-associated initial CSF proteins, which were measured in an independent MS cohort (verification group, N = 40) by ELISA. Additionally, the correlation of initial clinical and radiological parameters with long-term disability was analysed.
resultsCSF alpha-2-macroglobulin (P = 0.0015), apo-A1 (P = 0.0016), and haptoglobin (P = 0.0003) protein levels, as well as cerebral lesion load (>9 lesions) on magnetic resonance imaging, gait disturbance (P = 0.04), and bladder/bowel symptoms (P = 0.01) were significantly higher in the unfavourable course group than in the favourable course group. Optic nerve involvement evident on initial magnetic resonance imaging (P = 0.002) and optic neuritis (P = 0.01) were more frequent in the favourable course group.
conclusionThe herein identified initial CSF protein levels, in addition to the clinical and radiological parameters at disease onset, have predictive value for long-term disability in MS cases.
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