2011
DOI: 10.1248/bpb.34.871
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Metabonomics Study of Brain-Specific Human S100B Transgenic Mice by Using High-Performance Liquid Chromatography Coupled with Quadrupole Time of Flight Mass Spectrometry

Abstract: Parkinson's disease (PD) is one of the most common neurodegenerative disorders that occur in the elderly. Until now, the cause and mechanism of PD are unknown, making further studies necessary. S100B is a member of a group of Ca 2ϩ -binding protein mostly astrocytederived factor that has been shown to be involved in the maintenance and stimulation of neurons and glia cells by regulating a variety of cellular mechanisms such as proliferation, differentiation and energy metabolism. Increased levels of S100B were… Show more

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Cited by 15 publications
(12 citation statements)
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“…The databases including HMDB, KEGG, METLIN, LIPID MAPS, and PUBCHEM [18] were used to retrieve the structures of compounds according to their chemical shifts. A NIST2008 database was employed to identify the structures of compounds based on m / z values.…”
Section: Resultsmentioning
confidence: 99%
“…The databases including HMDB, KEGG, METLIN, LIPID MAPS, and PUBCHEM [18] were used to retrieve the structures of compounds according to their chemical shifts. A NIST2008 database was employed to identify the structures of compounds based on m / z values.…”
Section: Resultsmentioning
confidence: 99%
“…cef) file for further Mass Profiler Professional (version B.2.00, Agilent) statistical analysis. The resulting feature files for each sample were processed by ANOVA and PCA analysis utilizing the MPP software, which aligned, normalized, visualized and filtered the molecular features (MFs), for further processing [18], [19], [20], [21]. Subsequently, hierarchical clustering (condition tree) was applied to the data files.…”
Section: Methodsmentioning
confidence: 99%
“…In the PCA, done using SIMCA P+ v.13 software (Umetrics, San Jose, CA) as described previously (8,31), metabolite quantifications were centered and scaled to SD units and analyzed as vectors in a multivariate space, with one point (or one data vector) in the space corresponding to a full set of metabolite quantifications. Two-dimensional scores and loadings plots were made using the first and second principal components (PC1 and PC2), which correspond respectively to axes having the most and second-most variance for data vector projections.…”
Section: Methodsmentioning
confidence: 99%
“…Various murine-based investigations of other pathologies have found 1 H nuclear magnetic resonance (NMR)–based metabolomics to be useful (5,6,7). In a recent oxygen–glucose deprivation study with superfused respiring neonatal rat brain slices, we used 1 H NMR–based metabolomics of perchloric acid brain extracts to distinguish recovery groups belonging to different post–oxygen–glucose deprivation temperature treatments and to identify responsible metabolites (8). Large sample sizes, common in metabolomics studies of biofluids that can be obtained relatively easily, such as blood and urine, are often impractical and too costly in preclinical laboratory neuroscience studies.…”
mentioning
confidence: 99%