Metabolomic approach to human brain spectroscopy identifies associations between clinical features and the frontal lobe metabolome in multiple sclerosis

Lisa Karstens, Hui Jing Yu, Mark E. Wagshul, Dana Serafin, Christopher Christodoulou, István Pelczer, Lauren B. Krupp, Mirjana Maletić-Savatić

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Proton magnetic resonance spectroscopy (1H-MRS) is capable of noninvasively detecting metabolic changes that occur in the brain tissue in vivo. Its clinical utility has been limited so far, however, by analytic methods that focus on independently evaluated metabolites and require prior knowledge about which metabolites to examine. Here, we applied advanced computational methodologies from the field of metabolomics, specifically partial least squares discriminant analysis and orthogonal partial least squares, to in vivo 1H-MRS from frontal lobe white matter of 27 patients with relapsing-remitting multiple sclerosis (RRMS) and 14 healthy controls. We chose RRMS, a chronic demyelinating disorder of the central nervous system, because its complex pathology and variable disease course make the need for reliable biomarkers of disease progression more pressing. We show that in vivo MRS data, when analyzed by multivariate statistical methods, can provide reliable, distinct profiles of MRS-detectable metabolites in different patient populations. Specifically, we find that brain tissue in RRMS patients deviates significantly in its metabolic profile from that of healthy controls, even though it appears normal by standard MRI techniques. We also identify, using statistical means, the metabolic signatures of certain clinical features common in RRMS, such as disability score, cognitive impairments, and response to stress. This approach to human in vivo MRS data should promote understanding of the specific metabolic changes accompanying disease pathogenesis, and could provide biomarkers of disease progression that would be useful in clinical trials.

Original languageEnglish (US)
Pages (from-to)586-594
Number of pages9
JournalNeuroImage
Volume82
DOIs
StatePublished - Nov 15 2013
Externally publishedYes

Fingerprint

Relapsing-Remitting Multiple Sclerosis
Metabolomics
Metabolome
Frontal Lobe
Multiple Sclerosis
Spectrum Analysis
Brain
Least-Squares Analysis
Disease Progression
Biomarkers
Demyelinating Diseases
Discriminant Analysis
Central Nervous System
Clinical Trials
Pathology
Population
Proton Magnetic Resonance Spectroscopy

Keywords

  • Magnetic resonance spectroscopy (MRS)
  • Metabolomics
  • Multivariate statistics
  • Relapsing-remitting multiple sclerosis

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

Cite this

Metabolomic approach to human brain spectroscopy identifies associations between clinical features and the frontal lobe metabolome in multiple sclerosis. / Karstens, Lisa; Yu, Hui Jing; Wagshul, Mark E.; Serafin, Dana; Christodoulou, Christopher; Pelczer, István; Krupp, Lauren B.; Maletić-Savatić, Mirjana.

In: NeuroImage, Vol. 82, 15.11.2013, p. 586-594.

Research output: Contribution to journalArticle

Karstens, Lisa ; Yu, Hui Jing ; Wagshul, Mark E. ; Serafin, Dana ; Christodoulou, Christopher ; Pelczer, István ; Krupp, Lauren B. ; Maletić-Savatić, Mirjana. / Metabolomic approach to human brain spectroscopy identifies associations between clinical features and the frontal lobe metabolome in multiple sclerosis. In: NeuroImage. 2013 ; Vol. 82. pp. 586-594.
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