Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0042571 (vertigo)
 7,148 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

High-resolution Magic Angle Spinning (Hr-MAS) (1)H-NMR spectroscopy was used to analyze intact testicular tissues ex vivo and to investigate the toxicological effects of ethylene glycol monomethyl ether (EGME), a well-known spermatocytes toxicant, on male reproductive organs by NMR-based metabonomic analysis. Especially, we reported the first Hr-MAS (1)H-NMR spectra of epididymis. Sexually matured male rats were treated with 50 and 2,000 mg/kg EGME, and body weight, reproductive organs weight, histopathology and plasma biochemistry were examined at 6 and 24 hr after administration. Two multivariate statistical methods, namely, unsupervised PCA and supervised PLS-DA, indicated that the balance of endogenous metabolites was perturbed in both reproductive organs and biofluids. In the testes, lactate, creatine and glutathione were mainly affected by EGME treatment. In urine and plasma, altered excretions of the TCA cycle intermediates (2-oxoglutarate, citrate and succinate) and the ketone-bodies (acetoacetate and beta-hydroxybutyrate) were also observed. The finding in current integrated metabonomic analysis of both intact tissues and biofluids suggested that EGME-induced testicular toxicity was attributed to perturbation of the energy supply processes, suppression of the TCA cycle, or oxidative stress. Furthermore, Hr-MAS (1)H-NMR proved useful to investigate the molecular snapshot of biological tissues and the mechanism of toxicity.
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PMID:Integrated NMR-based metabonomic investigation of early metabolic effects of ethylene glycol monomethyl ether (EGME) on male reproductive organs in rats. 1819 83

In this study, the 1H HRMAS-NMR (High-resolution Magic Angle Spinning-Nuclear Magnetic Resonance) spectra of 52 cheese samples obtained from the South Korean dairy farms were evaluated for their metabolic profiling and intensities associating with the sensory qualities. The NMR profiles displayed a broad range of compounds comprising amino acids, carbohydrates, organic acids, and phospholipids. Afterwards, the cheese samples were categorized into three groups (more likeness - G1, moderate likeness - G2, less likeness - G3), in relating to their sensory scores. The NMR data of the samples were later investigated through multivariate statistical tools to define the variations in metabolic fingerprints of every cheese sample and their intensities hailing in individual sensory groups. The unsupervised PCA employing all cheese samples unveiled the uniqueness in metabolite profiles of the brown and cheddar type cheeses (outliers). Moreover, Gouda and other types of cheeses displayed samples positioning in respective of their metabolite profiles. The pairwise comparison of sensory groups in the supervised models perceived better separation in OPLS-DA than PLS-DA. The corresponding VIP (PLS-DA) and loading (OPLS-DA) plots revealed amino acids and organic acids (lactate, citrate) as significant variables. The discrimination of G 1 Gouda type of cheeses against G 2 and G 3 was highly associated with their citrate levels. Further investigation using heatmaps displayed clear differentiation between each sensory group in terms of the levels of amino acids, lactate, citrate, phospholipids, and glycerol, conveying these variations are likely due to proteolytic and metabolic processes in cheese ripening. This study concluded that 1H HRMAS-NMR metabolite profile of the Korean cheeses is consistence with their sensory qualities. Further, the candidate metabolites identified in this study confers their potential application as biomarkers in cheese industries for faster and effective validation of sensory characteristics.
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PMID:1H HRMAS-NMR based metabolic fingerprints for discrimination of cheeses based on sensory qualities. 3248 80