Potential biomarkers of fatigue identified by plasma metabolome analysis in rats

PloS One
Satoshi KumeYosky Kataoka

Abstract

In the present study, prior to the establishment of a method for the clinical diagnosis of chronic fatigue in humans, we validated the utility of plasma metabolomic analysis in a rat model of fatigue using capillary electrophoresis-mass spectrometry (CE-MS). In order to obtain a fatigued animal group, rats were placed in a cage filled with water to a height of 2.2 cm for 5 days. A food-restricted group, in which rats were limited to 10 g/d of food (around 50% of the control group), was also assessed. The food-restricted group exhibited weight reduction similar to that of the fatigued group. CE-MS measurements were performed to evaluate the profile of food intake-dependent metabolic changes, as well as the profile in fatigue loading, resulting in the identification of 48 metabolites in plasma. Multivariate analyses using hierarchical clustering and principal component analysis revealed that the plasma metabolome in the fatigued group showed clear differences from those in the control and food-restricted groups. In the fatigued group, we found distinctive changes in metabolites related to branched-chain amino acid metabolism, urea cycle, and proline metabolism. Specifically, the fatigued group exhibited significant increases in v...Continue Reading

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Citations

Sep 14, 2015·Journal of Industrial Microbiology & Biotechnology·Junghwa Chang, Ho Jeong Kwon
Oct 12, 2016·Scientific Reports·Emi YamanoYosky Kataoka
Nov 1, 2016·Electrophoresis·Rawi RamautarGerhardus J de Jong
Oct 27, 2016·Electrophoresis·Anna TýčováKarel Klepárník
Apr 3, 2019·Experimental and Therapeutic Medicine·Yanli XuJianzhong Zhang
Dec 12, 2018·Nature Reviews. Gastroenterology & Hepatology·Nienke Z BorrenAshwin N Ananthakrishnan
Mar 19, 2020·Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association·Nienke Z BorrenAshwin N Ananthakrishnan
Apr 4, 2021·International Journal of Molecular Sciences·Emi YamanoYosky Kataoka

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Methods Mentioned

BETA
electrophoresis
Assay
PCA

Software Mentioned

MetaboAnalyst
Agilent ChemStation QS
gplots
R
TOFMS
Agilent TOFMS
R statistics
randomForest
VANTED
R Packages for Metabolomics Univariate Analysis

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