2015
DOI: 10.1371/journal.pone.0120106
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Potential Biomarkers of Fatigue Identified by Plasma Metabolome Analysis in Rats

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-… Show more

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Cited by 40 publications
(48 citation statements)
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“…Moreover, an increased serum or urinary hydroxyproline level is associated with depression 22 and fatigue 23 . 3-Hydroxyisovalerate (3-HIVA) is produced from 3- hydroxy-3- methylglutary- CoA, which is a side product of increased ketogenesis 24 .…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, an increased serum or urinary hydroxyproline level is associated with depression 22 and fatigue 23 . 3-Hydroxyisovalerate (3-HIVA) is produced from 3- hydroxy-3- methylglutary- CoA, which is a side product of increased ketogenesis 24 .…”
Section: Discussionmentioning
confidence: 99%
“…The analyte/sheathliquid mass flow rates ratio determines analyte dilution and influences the sensitivity of the analysis. The sheath‐flow interfaces with several μL/min flow rates represent very powerful tools for extensive clinical and biological studies due to a reasonable robustness and reproducible results at interlaboratory level . However, the use of low sheath‐flow interfacing with electrokinetically pumped sheathliquid is on its rise nowadays.…”
Section: Development Of Methodsology and Instrumentationmentioning
confidence: 99%
“…Importantly, CE also gives complementary information to HILIC [13], as well as, significantly better peak shape in many cases. It is therefore not surprising that CE-MS has already been considered for multiple metabolomics studies covering several applications, from aging [19], amino acid analysis [20,21] [46][47][48][49][50][51][52][53], CVD [54][55][56][57][58], diabetes [59][60][61][62][63][64][65], lifestyle [61][62][63][64][65][66][67][68][69][70][71], kidney disease [72,73], liver disease [74][75][76][77][78][79][80][81][82], the microbiome [83][84]…”
Section: Current Advantages and Biotechnology Applicationsmentioning
confidence: 99%