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Metabolomics diagnostic approach to mustard airway diseases: A preliminary study

Nobakht Mothlagh Ghoochani, B. F ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.22038/ijbms.2017.23792.5982
  3. Publisher: Mashhad University of Medical Sciences , 2018
  4. Abstract:
  5. Objective(s): This study aims to evaluate combined proton nuclear magnetic resonance (1H NMR) spectroscopy and gas chromatography-mass spectrometry (GC-MS) metabolic profiling approaches, for discriminating between mustard airway diseases (MADs) and healthy controls and for providing biochemical information on this disease. Materials and Methods: In the present study, analysis of serum samples collected from 17 MAD subjects and 12 healthy controls was performed using NMR. Of these subjects, 14 (8 patients and 6 controls) were analyzed by GC-MS. Then, their spectral profiles were subjected to principal component analysis (PCA) and orthogonal partial least squares regression discriminant analysis (OPLS-DA). Results: A panel of twenty eight metabolite biomarkers was generated for MADs, sixteen NMR-derived metabolites (3-methyl-2-oxovaleric acid, 3-hydroxyisobutyrate, lactic acid, lysine, glutamic acid, proline, hydroxyproline, dimethylamine, creatine, citrulline, choline, acetic acid, acetoacetate, cholesterol, alanine, and lipid (mainly VLDL)) and twelve GC-MS-derived metabolites (threonine, phenylalanine, citric acid, myristic acid, pentadecanoic acid, tyrosine, arachidonic acid, lactic acid, propionic acid, 3-hydroxybutyric acid, linoleic acid, and oleic acid). This composite biomarker panel could effectively discriminate MAD subjects from healthy controls, achieving an area under receiver operating characteristic curve (AUC) values of 1 and 0.79 for NMR and GC-MS, respectively. Conclusion: In the present study, a robust panel of twenty-eight biomarkers for detecting MADs was established. This panel is involved in three metabolic pathways including aminoacyl-tRNA biosynthesis, arginine, and proline metabolism, and synthesis and degradation of ketone bodies, and could differentiate MAD subjects from healthy controls with a higher accuracy. © 2018, Mashhad University of Medical Sciences. All rights reserved
  6. Keywords:
  7. GC-MS ; Metabolomics ; Multivariate analysis ; NMR spectroscopy ; Sulfur mustard ; 3 hydroxy 2 methylpropionic acid ; 3 hydroxybutyric acid ; Acetic acid ; Acetoacetic acid ; Alanine ; Arachidonic acid ; Choline ; Citric acid ; Citrulline ; Creatine ; Dimethylamine ; Glutamic acid ; Hydroxyproline ; Lactic acid ; Linoleic acid ; Lysine ; Myristic acid ; Oleic acid ; Pentadecanoic acid ; Phenylalanine ; Proline ; Propionic acid ; Threonine ; Tyrosine ; Very low density lipoprotein cholesterol ; Adult ; Area under the curve ; Article ; Clinical article ; Controlled study ; Female ; Forced expiratory volume ; Forced vital capacity ; Human ; Lung function ; Male ; Mass fragmentography ; Mustard ; Principal component analysis ; Proton nuclear magnetic resonance ; Receiver operating characteristic ; Respiratory tract disease
  8. Source: Iranian Journal of Basic Medical Sciences ; Volume 21, Issue 1 , 2018 , Pages 59-69 ; 20083866 (ISSN)
  9. URL: http://ijbms.mums.ac.ir/article_9924.html