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Metabolomics diagnostic approach to mustard airway diseases: a preliminary study

OBJECTIVE(S): This study aims to evaluate combined proton nuclear magnetic resonance ((1)H 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 i...

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Autores principales: Ghoochani, BiBi Fatemeh Nobakht Mothlagh, Aliannejad, Rasoul, Oskouie, Afsaneh Arefi, Rezaei-Tavirani, Mostafa, Kalantari, Shiva, Naseri, Mohammad Taghi, Baghban, Alireza Akbarzadeh, Parastar, Hadi, Aliakbarzadeh, Ghazaleh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mashhad University of Medical Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5776438/
https://www.ncbi.nlm.nih.gov/pubmed/29372038
http://dx.doi.org/10.22038/IJBMS.2017.23792.5982
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author Ghoochani, BiBi Fatemeh Nobakht Mothlagh
Aliannejad, Rasoul
Oskouie, Afsaneh Arefi
Rezaei-Tavirani, Mostafa
Kalantari, Shiva
Naseri, Mohammad Taghi
Baghban, Alireza Akbarzadeh
Parastar, Hadi
Aliakbarzadeh, Ghazaleh
author_facet Ghoochani, BiBi Fatemeh Nobakht Mothlagh
Aliannejad, Rasoul
Oskouie, Afsaneh Arefi
Rezaei-Tavirani, Mostafa
Kalantari, Shiva
Naseri, Mohammad Taghi
Baghban, Alireza Akbarzadeh
Parastar, Hadi
Aliakbarzadeh, Ghazaleh
author_sort Ghoochani, BiBi Fatemeh Nobakht Mothlagh
collection PubMed
description OBJECTIVE(S): This study aims to evaluate combined proton nuclear magnetic resonance ((1)H 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.
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spelling pubmed-57764382018-01-25 Metabolomics diagnostic approach to mustard airway diseases: a preliminary study Ghoochani, BiBi Fatemeh Nobakht Mothlagh Aliannejad, Rasoul Oskouie, Afsaneh Arefi Rezaei-Tavirani, Mostafa Kalantari, Shiva Naseri, Mohammad Taghi Baghban, Alireza Akbarzadeh Parastar, Hadi Aliakbarzadeh, Ghazaleh Iran J Basic Med Sci Original Article OBJECTIVE(S): This study aims to evaluate combined proton nuclear magnetic resonance ((1)H 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. Mashhad University of Medical Sciences 2018-01 /pmc/articles/PMC5776438/ /pubmed/29372038 http://dx.doi.org/10.22038/IJBMS.2017.23792.5982 Text en Copyright: © Iranian Journal of Basic Medical Sciences http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Ghoochani, BiBi Fatemeh Nobakht Mothlagh
Aliannejad, Rasoul
Oskouie, Afsaneh Arefi
Rezaei-Tavirani, Mostafa
Kalantari, Shiva
Naseri, Mohammad Taghi
Baghban, Alireza Akbarzadeh
Parastar, Hadi
Aliakbarzadeh, Ghazaleh
Metabolomics diagnostic approach to mustard airway diseases: a preliminary study
title Metabolomics diagnostic approach to mustard airway diseases: a preliminary study
title_full Metabolomics diagnostic approach to mustard airway diseases: a preliminary study
title_fullStr Metabolomics diagnostic approach to mustard airway diseases: a preliminary study
title_full_unstemmed Metabolomics diagnostic approach to mustard airway diseases: a preliminary study
title_short Metabolomics diagnostic approach to mustard airway diseases: a preliminary study
title_sort metabolomics diagnostic approach to mustard airway diseases: a preliminary study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5776438/
https://www.ncbi.nlm.nih.gov/pubmed/29372038
http://dx.doi.org/10.22038/IJBMS.2017.23792.5982
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