ArticleNeurology2014
A type 2 biomarker separates relapsing-remitting from secondary progressive multiple sclerosis.
Article in Neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.
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Who cites it
54 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.
- Early diagnosis of secondary progressive multiple sclerosis: focus on fluid and neurophysiological biomarkers.Journal of neurology · 2021Pooled it
- Metabolic alterations in multiple sclerosis and the impact of vitamin D supplementation.JCI insight · 2017Trial
- Plasma-Derived Extracellular Vesicle microRNAs in Multiple Sclerosis: An Exploratory Case-Control Study on Phenotypic Discrimination.International journal of molecular sciences · 2026Article
- β-oxidation-mediated differentiation of effector CD4Journal of neuroinflammation · 2026Article
- Serum GFAP and NfL augment a metabolomics-driven strategy for long-term prediction of multiple sclerosis progression.Communications medicine · 2026Article
- Spinal cord metabolism in multiple sclerosis: a decade of missed opportunities and future directions.Spinal cord · 2025Review
- PlasmaNeurology(R) neuroimmunology & neuroinflammation · 2025Article
- Integrating TSPO-PET imaging with metabolomics for enhanced prognostic accuracy in multiple sclerosis.BMJ neurology open · 2025Article
- Recent Advances in Metabolomics and Lipidomics Studies in Human and Animal Models of Multiple Sclerosis.Metabolites · 2024Review
- Blood metabolomic and transcriptomic signatures stratify patient subgroups in multiple sclerosis according to disease severity.iScience · 2024Article
- Metabolite Alterations in Autoimmune Diseases: A Systematic Review of Metabolomics Studies.Metabolites · 2023Review
- Metabolomic profiles in relapsing-remitting and progressive multiple sclerosis compared to healthy controls: a five-year follow-up study.Metabolomics : Official journal of the Metabolomic Society · 2023Article
- Multi-omic evaluation of metabolic alterations in multiple sclerosis identifies shifts in aromatic amino acid metabolism.Cell reports. Medicine · 2021Article
- Contribution of Metabolomics to Multiple Sclerosis Diagnosis, Prognosis and Treatment.International journal of molecular sciences · 2021Review
- Potential role of indolelactate and butyrate in multiple sclerosis revealed by integrated microbiome-metabolome analysis.Cell reports. Medicine · 2021Article
- NMR-based metabolomics of human cerebrospinal fluid identifies signature of brain death.Metabolomics : Official journal of the Metabolomic Society · 2021Article
- An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview.Cellular and molecular life sciences : CMLS · 2021Review
- Objective biomarkers for clinical relapse in multiple sclerosis: a metabolomics approach.Brain communications · 2021Article
- Determination of CSF GFAP, CCN5, and vWF Levels Enhances the Diagnostic Accuracy of Clinically Defined MS From Non-MS Patients With CSF Oligoclonal Bands.Frontiers in immunology · 2021Article
- Altered Plasma Metabolic Profiles in Chinese Patients With Multiple Sclerosis.Frontiers in immunology · 2021Article
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Authors and funding
12 authors at 1 institution in 2 countries.
Funding
Abstract
objectiveWe tested whether it is possible to differentiate relapsing-remitting (RR) from secondary progressive (SP) disease stages in patients with multiple sclerosis (MS) using a combination of nuclear magnetic resonance (NMR) metabolomics and partial least squares discriminant analysis (PLS-DA) of biofluids, which makes no assumptions on the underlying mechanisms of disease.
methodsSerum samples were obtained from patients with primary progressive MS (PPMS), SPMS, and RRMS; patients with other neurodegenerative conditions; and age-matched controls. Samples were analyzed by NMR and PLS-DA models were derived to separate disease groups.
resultsThe PLS-DA models for serum samples from patients with MS enabled reliable differentiation between RRMS and SPMS. This approach also identified significant differences between the metabolite profiles of each of the MS groups (PP, SP, and RR) and the healthy controls, as well as predicting disease group membership with high specificity and sensitivity.
conclusionsNMR metabolomics analysis of serum is a sensitive and robust method for differentiating between different stages of MS, yielding diagnostic markers without a priori knowledge of disease pathogenesis. Critically, this study identified and validated a type II biomarker for the RR to SP transition in patients with MS. This approach may be of considerable benefit in categorizing patients for treatment and as an outcome measure in future clinical trials. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that serum metabolite profiles accurately distinguish patients with different subtypes and stages of MS.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.