Journal of Molecular Neuroscience · 2019 · 24 citations · 36 references
Life SciencesNeurologyNeuroscienceClinical BiochemistryMass Spectrometric AnalysisMetabolomicsCerebrospinal Fluid BiomarkersMagnetic Resonance SpectroscopyMetabolite ProfilingMetabolite QuantificationMultiple SclerosisNuclear Magnetic Resonance MetabolomicsCerebrospinal Fluid AnalysisCerebrospinal Fluid DiagnosticsCerebrospinal Fluid SystemClinical Metabolite ProfilingDifferential Metabolite AnalysisLipidomics Data AnalysisNeurological PhenotypingNuclear Magnetic Resonance Spectroscopy-based Metabolite Profiling
H-NMR spectroscopy and metabolomics analysis to discriminate MS patient group from the control ones. In this study, 19 MS patients and 19 controls, without neurological problems, patients were enrolled. To obtain the CSF metabolic profiles, NMR spectroscopy was used. Hydrophilic and hydrophobic compounds were analyzed using univariate and multivariate supervised analysis orthogonal partial least square discriminant analysis (OPLS-DA). Targeted OPLS-DA analysis of 32 hydrophilic and 17 hydrophobic compounds obtained 9 hydrophilic metabolites and 8 lipid functional groups which had the highest contribution to patient's group separation. Lower concentrations of CSF hydrophilic and hydrophobic compounds were observed in MS patients as compared to control group. Acetone, choline, urea, 1,3-dimethylurate, creatinine, isoleucine, myo-inositol, leucine, and 3-OH butyrate; saturated and monounsaturated acyl groups of ω-9, ω-7, ω-6, ω-3, and fatty acid, triglycerides, 1,3-DG, 1-MG, and unassigned component signal at 3.33 ppm were the most important signal compounds in group separation. Analysis of metabolic profile of raw CSF and their lipid extract shows decreased levels of many compounds and led to the conclusion that MS patients could have a disturbance in many metabolic pathways perhaps leading to the decreased level of acetyl-CoA and/or inflammation. CSF metabolic profile analyses could be used as a fingerprint for early MS diagnosis.
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