Untargeted 1H-NMR metabolomics in CSF: Toward a diagnostic biomarker for motor neuron disease

Hélène Blasco, Lydie Nadal-Desbarats, Pierre François Pradat, Paul H. Gordon, Catherine Antar, Charlotte Veyrat-Durebex, Caroline Moreau, David Devos, Sylvie Mavel, Patrick Emond, Christian R. Andres, Philippe Corcia

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)

Abstract

Objectives: To develop a CSF metabolomics signature for motor neuron disease (MND) using 1H-NMR spectroscopy and to evaluate the predictive value of the profile in a separate cohort. Methods: We collected CSF from patients with MND and controls and analyzed the samples using 1H-NMR spectroscopy. We divided the total patient sample in a 4:1 ratio into a training cohort and a test cohort. First, a metabolomics signature was created by statistical modeling in the training cohort, and then the analyses tested the predictive value of the signature in the test cohort. We conducted 10 independent trials for each step. Finally, we identified the compounds that contributed most consistently to the metabolome profile. Results: Analysis of CSF from 95 patients and 86 controls identified a diagnostic profile for MND (R2X . 22%, R2Y . 93%, Q2 . 66%). The best model selected the correct diagnosis with mean probability of 99.31%in the training cohort. The profile discriminated between diagnostic groups with 78.9% sensitivity and 76.5% specificity in the test cohort. Metabolites linked to pathophysiologic pathways in MND (i.e., threonine, histidine, and molecules related to the metabolism of branched amino acids) were among the discriminant compounds. Conclusion: CSF metabolomics using 1H-NMR spectroscopy can detect a reproducible metabolic signature for MND with reasonable performance. To our knowledge, this is the first metabolomics study that shows that a validation in separate cohorts is feasible. These data should be considered in future biomarker studies. Classification of evidence: This study provides Class III evidence that CSF metabolomics accurately distinguishes MNDs from other neurologic diseases.

Original languageEnglish
Pages (from-to)1167-1174
Number of pages8
JournalNeurology
Volume82
Issue number13
DOIs
Publication statusPublished (in print/issue) - 1 Apr 2014

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