Publication
Title
$^{1}H$ NMR based metabolomics of CSF and blood serum : a metabolic profile for a transgenic rat model of Huntington disease
Author
Abstract
 Huntington disease (HD) is a hereditary brain disease. Although the causative gene has been found, the exact mechanisms of the pathogenesis are still unknown. Recent investigations point to metabolic and energetic dysfunctions in HD neurons. Both univariate and multivariate analyses were used to compare proton nuclear magnetic resonance spectra of serum and cerebrospinal fluid (CSF) taken from presymptomatic HD transgenic rats and their wild-type littermates. N-acetylaspartate (NAA), was found to be significantly decreased in the serum of HD rats compared to wild-type littermates. Moreover, in the serum their levels of glutamine, succinic acid, glucose and lactate are significantly increased as well. An increased concentration of lactate and glucose is also found in CSF. There is a 1:1 stoichiometry coupling glucose utilization and glutamate cycling. The observed increase in the glutamine concentration, which indicates a shutdown in the neuronal-glial glutamate-glutamine cycling, results therefore in an increased glucose concentration. The elevated succinic acid concentration might be due to an inhibition of succinate dehydrogenase, an enzyme linked to the mitochondrial respiratory chain and TCA cycle. Moreover, reduced levels of NAA may reflect an impairment of mitochondrial energy production. In addition, the observed difference in lactate supports a deficiency of oxidative energy metabolism in rats transgenic for HD as well. The observed metabolic alterations seem to be more profound in serum than in CSF in presymptomatic rats. All findings suggest that even in presymptomatic rats, a defect in energy metabolism is already apparent. These results support the hypothesis of mitochondrial energy dysfunction in HD.
Language
English
Source (journal)
Biochimica et biophysica acta : molecular basis of disease. - Amsterdam, 1990, currens
Publication
Amsterdam : Elsevier , 2011
ISSN
0925-4439 [print]
1879-260X [online]
Volume/pages
1812 :11 (2011) , p. 1371-1379
ISI
000296952600002
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
 Faculty/Department Research group Project info Intelligent analysis and data-mining of mass spectrometry-based proteome data. Publication type Subject Affiliation Publications with a UAntwerp address
External links
 Web of Science
Record
 Identifier Creation 21.09.2011 Last edited 15.11.2022 To cite this reference
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