TY - JOUR
T1 - A Urinary Metabolic Signature for Multiple Sclerosis and Neuromyelitis Optica
AU - Gebregiworgis, Teklab
AU - Nielsen, Helle H.
AU - Massilamany, Chandirasegaran
AU - Gangaplara, Arunakumar
AU - Reddy, Jay
AU - Illes, Zsolt
AU - Powers, Robert
N1 - Funding Information:
This manuscript was supported in part by funds from the National Institutes of Health (NIH), USA (P30 GM103335, R.P., J.R.; HL114669, J.R.), NIH National Center for Research Resources (P20 RR-17675, J.R.), University of Nebraska Research Council (J.R., R.P.), Scleroseforeningen (A-19412, Denmark, Z.I.), Lundbeckfonden (R118-A11472, Denmark, Z.I.), and a grant from Odense University Hospital (Z.I.). The research was performed in facilities renovated with support from the National Institutes of Health (RR015468-01).
PY - 2016/2/5
Y1 - 2016/2/5
N2 - 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.
AB - 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.
KW - NMR
KW - metabolomics
KW - multiple sclerosis
KW - multivariate statistics
KW - neuromyelitis optica-spectrum disorder
KW - urine biomarkers
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U2 - 10.1021/acs.jproteome.5b01111
DO - 10.1021/acs.jproteome.5b01111
M3 - Article
C2 - 26759122
AN - SCOPUS:84957710743
VL - 15
SP - 659
EP - 666
JO - Journal of Proteome Research
JF - Journal of Proteome Research
SN - 1535-3893
IS - 2
ER -