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NMR spectroscopy-based metabolomic study of serum in sulfur mustard exposed patients with lung disease

Nobakht, B.F., M. Gh ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. DOI: 10.1080/1354750X.2016.1203995
  3. Publisher: Taylor and Francis Ltd , 2017
  4. Abstract:
  5. Sulfur mustard (SM) is a vesication chemical warfare agent for which there is currently no antidote. Despite years of research, there is no common consensus about the pathophysiological basis of chronic pulmonary disease caused by this chemical warfare agent. In this study, we combined chemometric techniques with nuclear magnetic resonance (NMR) spectroscopy to explore the metabolic profile of sera from SM-exposed patients. A total of 29 serum samples obtained from 17 SM-injured patients, and 12 healthy controls were analyzed by Random Forest. Increased concentrations of seven amino acids, glycerol, dimethylamine, ketone bodies, lactate, acetate, citrulline and creatine together with the decreased very low-density lipoproteins (VLDL) levels were observed in patients compared with control subjects. Our study reveals the metabolic profile of sera from SM-injured patients and indicates that NMR-based methods can distinguish these patients from healthy controls. © 2016 Informa UK Limited, trading as Taylor & Francis Group
  6. Keywords:
  7. Human serum ; Metabolomics ; Nuclear magnetic resonance ; 3 hydroxybutyric acid ; Acetic acid ; Acetoacetic acid ; Ammonia ; Arginine ; Asparagine ; Aspartic acid ; Citrulline ; Creatine ; Dimethylamine ; Glutamic acid ; Glutamine ; Glycerol ; Glycine ; Hydroxyproline ; Ketone body ; Lactic acid ; Lysine ; Mustard gas ; Proline ; pyruvic acid ; Very low density lipoprotein ; Adult ; Amino acid metabolism ; Article ; Chemometric analysis ; Clinical article ; Collagen metabolism ; Controlled study ; Diagnostic accuracy ; Forced expiratory volume ; Forced vital capacity ; Glutathione metabolism ; Human ; Lipid metabolism ; Lung disease ; Male ; Middle aged ; Protein synthesis ; Proton nuclear magnetic resonance ; Urea cycle
  8. Source: Biomarkers ; Volume 22, Issue 5 , 2017 , Pages 413-419 ; 1354750X (ISSN)
  9. URL: https://www.tandfonline.com/doi/full/10.1080/1354750X.2016.1203995