ArticleNeurology(R) neuroimmunology & neuroinflammation2017
Metabolomic signatures associated with disease severity in multiple sclerosis.
Article in Neurology(R) neuroimmunology & neuroinflammation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
67 citing papers in PubMed, 109 citations in OpenAlex.
- Metabolic alterations in multiple sclerosis and the impact of vitamin D supplementation.JCI insight · 2017Trial
- Sex-Specific Differences in Amino Acids and Neurotransmitters in Multiple Sclerosis Patients Compared to Non-Neuroinflammatory Controls: A Retrospective Case-Control Study.Neurochemical research · 2026Article
- Serum GFAP and NfL augment a metabolomics-driven strategy for long-term prediction of multiple sclerosis progression.Communications medicine · 2026Article
- Aberrant long-chain fatty acids metabolism and its interplay with immuno-inflammatory responses in relapsing-remitting multiple sclerosis.Frontiers in immunology · 2026Article
- Unraveling multiple sclerosis: a hidden interaction between intestinal microbiota and host lipid metabolism.Gut microbes · 2025Review
- The Serum Lipid Profile of Relapsing Multiple Sclerosis Differs Reproducibly From Healthy Controls.Journal of neurochemistry · 2025Article
- Altered Lipid Metabolism in CNS Demyelination and Remyelination Are Key Elements Driving Progressive MS.International journal of molecular sciences · 2025Review
- Blood metabolomics improves prediction of central nervous system damage in multiple sclerosis.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Evaluation of the Metabolomics Profile in Charcot-Marie-Tooth (CMT) Patients: Novel Potential Biomarkers.Metabolites · 2025Article
- Metabolic and lipid alterations in multiple sclerosis linked to disease severity.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Article
- The Erythrocyte Fatty Acid Profile in Multiple Sclerosis Is Linked to the Disease Course, Lipid Peroxidation, and Dietary Influence.Nutrients · 2025Article
- Transcriptomic profiling identifies ferroptosis and NF-κB signaling involved in α-dimorphecolic acid regulation of microglial inflammation.Journal of translational medicine · 2025Article
- The Octadecanoids: Synthesis and Bioactivity of 18-Carbon Oxygenated Fatty Acids in Mammals, Bacteria, and Fungi.Chemical reviews · 2025Review
- Should We Consider Neurodegeneration by Itself or in a Triangulation with Neuroinflammation and Demyelination? The Example of Multiple Sclerosis and Beyond.International journal of molecular sciences · 2024Review
- Recent Advances in Metabolomics and Lipidomics Studies in Human and Animal Models of Multiple Sclerosis.Metabolites · 2024Review
- Gut-Brain Interactions and Their Impact on Astrocytes in the Context of Multiple Sclerosis and Beyond.Cells · 2024Review
- Plasma Lipidomic Profiling Using Mass Spectrometry for Multiple Sclerosis Diagnosis and Disease Activity Stratification (LipidMS).International journal of molecular sciences · 2024Article
- Alterations of Oligodendrocyte and Myelin Energy Metabolism in Multiple Sclerosis.International journal of molecular sciences · 2023Review
- Several serum lipid metabolites are associated with relapse risk in pediatric-onset multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023Article
- Disease phenotype prediction in multiple sclerosis.iScience · 2023Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
15 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify differences in the metabolomic profile in the serum of patients with multiple sclerosis (MS) compared to controls and to identify biomarkers of disease severity.
methodsWe studied 2 cohorts of patients with MS: a retrospective longitudinal cohort of 238 patients and 74 controls and a prospective cohort of 61 patients and 41 controls with serial serum samples. Patients were stratified into active or stable disease based on 2 years of prospective assessment accounting for presence of clinical relapses or changes in disability measured with the Expanded Disability Status Scale (EDSS). Metabolomic profiling (lipids and amino acids) was performed by ultra-high-performance liquid chromatography coupled to mass spectrometry in serum samples. Data analysis was performed using parametric methods, principal component analysis, and partial least square discriminant analysis for assessing the differences between cases and controls and for subgroups based on disease severity.
resultsWe identified metabolomics signatures with high accuracy for classifying patients vs controls as well as for classifying patients with medium to high disability (EDSS >3.0). Among them, sphingomyelin and lysophosphatidylethanolamine were the metabolites that showed a more robust pattern in the time series analysis for discriminating between patients and controls. Moreover, levels of hydrocortisone, glutamic acid, tryptophan, eicosapentaenoic acid, 13S-hydroxyoctadecadienoic acid, lysophosphatidylcholines, and lysophosphatidylethanolamines were associated with more severe disease (non-relapse-free or increase in EDSS).
conclusionsWe identified metabolomic signatures composed of hormones, lipids, and amino acids associated with MS and with a more severe course.
Identifiers
What OpenQuestion holds
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.