A Urinary Metabolic Signature for Multiple Sclerosis and Neuromyelitis Optica

Teklab Gebregiworgis, Helle H. Nielsen, Chandirasegaran Massilamany, Arunakumar Gangaplara, N R Jayagopala Reddy, Zsolt Illes, Robert Powers

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Urine is a metabolite-rich biofluid that reflects the body's effort to maintain chemical and osmotic homeostasis. Clinical diagnosis routinely relies on urine samples because the collection process is easy and noninvasive. Despite these advantages, urine is an under-investigated source of biomarkers for multiple sclerosis (MS). Nuclear magnetic resonance spectroscopy (NMR) has become a common approach for analyzing urinary metabolites for disease diagnosis and biomarker discovery. For illustration of the potential of urinary metabolites for diagnosing and treating MS patients, and for differentiating between MS and other illnesses, 38 urine samples were collected from healthy controls, MS patients, and neuromyelitis optica-spectrum disorder (NMO-SD) patients and analyzed with NMR, multivariate statistics, one-way ANOVA, and univariate statistics. Urine from MS patients exhibited a statistically distinct metabolic signature from healthy and NMO-SD controls. A total of 27 metabolites were differentially altered in the urine from MS and NMO-SD patients and were associated with synthesis and degradation of ketone bodies, amino acids, propionate and pyruvate metabolism, tricarboxylic acid cycle, and glycolysis. Metabolites altered in urine from MS patients were shown to be related to known pathogenic processes relevant to MS, including alterations in energy and fatty acid metabolism, mitochondrial activity, and the gut microbiota.

Original languageEnglish (US)
Pages (from-to)659-666
Number of pages8
JournalJournal of proteome research
Volume15
Issue number2
DOIs
StatePublished - Feb 5 2016

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Neuromyelitis Optica
Metabolites
Multiple Sclerosis
Urine
Biomarkers
Metabolism
Nuclear magnetic resonance spectroscopy
Statistics
Ketone Bodies
Propionates
Analysis of variance (ANOVA)
Pyruvic Acid
Magnetic Resonance Spectroscopy
Fatty Acids
Citric Acid Cycle
Glycolysis
Amino Acids
Degradation
Analysis of Variance
Homeostasis

Keywords

  • NMR
  • metabolomics
  • multiple sclerosis
  • multivariate statistics
  • neuromyelitis optica-spectrum disorder
  • urine biomarkers

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)

Cite this

A Urinary Metabolic Signature for Multiple Sclerosis and Neuromyelitis Optica. / Gebregiworgis, Teklab; Nielsen, Helle H.; Massilamany, Chandirasegaran; Gangaplara, Arunakumar; Reddy, N R Jayagopala; Illes, Zsolt; Powers, Robert.

In: Journal of proteome research, Vol. 15, No. 2, 05.02.2016, p. 659-666.

Research output: Contribution to journalArticle

Gebregiworgis, Teklab ; Nielsen, Helle H. ; Massilamany, Chandirasegaran ; Gangaplara, Arunakumar ; Reddy, N R Jayagopala ; Illes, Zsolt ; Powers, Robert. / A Urinary Metabolic Signature for Multiple Sclerosis and Neuromyelitis Optica. In: Journal of proteome research. 2016 ; Vol. 15, No. 2. pp. 659-666.
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