gms | German Medical Science

67. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC)
Joint Meeting mit der Koreanischen Gesellschaft für Neurochirurgie (KNS)

Deutsche Gesellschaft für Neurochirurgie (DGNC) e. V.

12. - 15. Juni 2016, Frankfurt am Main

1H-NMR based metabolomic analysis of cerebrospinal fluid from adult bilateral moyamoya disease: comparison to unilateral moyamoya disease and atherosclerotic stenosis

Meeting Abstract

  • Jin Pyeong Jeon - Hallym University Chuncheon Sacred Heart Hospital
  • Jeong Eun Kim - Department of Neurosurgery, Seoul National University
  • Won-Sang Cho - Seoul National University Hospital
  • Hyun-Seung Kang - Seoul National University Hospital
  • Chang Wan Oh - Seoul National University Bundang Hospital
  • Young Je Son - Seoul National University Bundang Hospital
  • Taeho Yun - Seoul National University, College of Pharmacy, Korea
  • Xing Jin - Seoul National University, College of Pharmacy, Korea
  • Sunghyouk Park - Seoul National University, College of Pharmacy, Korea

Deutsche Gesellschaft für Neurochirurgie. 67. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), 1. Joint Meeting mit der Koreanischen Gesellschaft für Neurochirurgie (KNS). Frankfurt am Main, 12.-15.06.2016. Düsseldorf: German Medical Science GMS Publishing House; 2016. DocDI.05.07

doi: 10.3205/16dgnc124, urn:nbn:de:0183-16dgnc1240

Veröffentlicht: 8. Juni 2016

© 2016 Jeon et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Objective: Although metabolomics has been increasingly used to observe metabolic pattern and disease-specific metabolic markers, metabolite profiling for moyamoya disease (MMD) has not yet been done in adults. This study investigated cerebrospinal fluid (CSF) metabolites specific to bilateral MMD compared them to those of unilateral MMD or atherosclerotic stenosis with 1H-NMR spectroscopy to identify metabolic biomarkers associated with MMD in adults.

Method: CSF samples of bilateral MMD (n=29), unilateral MMD (n=11) and atherosclerotic cerebrovascular disease (ACVD) (n=8) were recruited. Principal components analysis, PLS-Discriminant Analysis and orthogonal projections to latent structure discriminant analysis (OPLS-DA) were done for the comparisons. Diagnostic performance was acquired by prediction of one left-out sample from the distinction model constructed with the rest of the samples.

Results: Bilateral MMD showed an increase in glutamine (p<0.001) and taurine (p=0.004) and a decrease in glucose (p<0.001), citrate (p=0.002) and myo-inositol (p=0.006) than those in ACVD. Unilateral MMD showed a higher level of glutamine (p=0.005) and taurine (p=0.034) and a lower level of glutamate (p<0.004) than those in ACVD. No difference at the metabolite level was observed between bilateral and unilateral MMD. Cross-validation with the OPLS-DA model showed a high accuracy for the prediction of MMD.

Conclusions: The results of the study suggest that a metabolomics approach may be helpful in confirming MMD and providing a better understanding of MMD pathogenesis. Elevated glutamine in the CSF may be associated with MMD pathogenesis which was different from ACVD.