Metabolomics diagnostic approach to mustard airway diseases: a preliminary study

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Nobakht Mothlagh Ghoochani BiBi Fatemeh; ALIANNEJAD RASOUL; ALIANNEJAD RASOUL; AREFI OSKOUIE AFSANEH; REZAEI TAVIRANI MOSTAFA; KALANTARI SHIVA; NASERI MOHAMMAD TAGHI; AKBARZADEH BAGHBAN ALIREZA; PARASTAR HADI; ALIAKBARZADEH GHAZALEH

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Journal: Iranian Journal of Basic Medical Sciences Year:2018 | Volume:21 | Issue:1 Page(s): 59-69

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Title

Metabolomics diagnostic approach to mustard airway diseases: a preliminary study

Author(s)

Keywords

GC-MS

Metabolomics

Multivariate analysis

NMR spectroscopy

Sulfur mustard

Abstract

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.

Cites

Introducing Serine as Cardiovascular Disease Biomarker Candidate via Pathway Analysis

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APA: Copy

Nobakht Mothlagh Ghoochani, BiBi Fatemeh, ALIANNEJAD, RASOUL, ALIANNEJAD, RASOUL, AREFI OSKOUIE, AFSANEH, REZAEI TAVIRANI, MOSTAFA, KALANTARI, SHIVA, NASERI, MOHAMMAD TAGHI, AKBARZADEH BAGHBAN, ALIREZA, PARASTAR, HADI, & ALIAKBARZADEH, GHAZALEH. (2018). Metabolomics diagnostic approach to mustard airway diseases: a preliminary study. IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES, 21(1), 59-69. SID. https://sid.ir/paper/722764/en

Vancouver: Copy

Nobakht Mothlagh Ghoochani BiBi Fatemeh, ALIANNEJAD RASOUL, ALIANNEJAD RASOUL, AREFI OSKOUIE AFSANEH, REZAEI TAVIRANI MOSTAFA, KALANTARI SHIVA, NASERI MOHAMMAD TAGHI, AKBARZADEH BAGHBAN ALIREZA, PARASTAR HADI, ALIAKBARZADEH GHAZALEH. Metabolomics diagnostic approach to mustard airway diseases: a preliminary study. IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES[Internet]. 2018;21(1):59-69. Available from: https://sid.ir/paper/722764/en

IEEE: Copy

BiBi Fatemeh Nobakht Mothlagh Ghoochani, RASOUL ALIANNEJAD, RASOUL ALIANNEJAD, AFSANEH AREFI OSKOUIE, MOSTAFA REZAEI TAVIRANI, SHIVA KALANTARI, MOHAMMAD TAGHI NASERI, ALIREZA AKBARZADEH BAGHBAN, HADI PARASTAR, and GHAZALEH ALIAKBARZADEH, “Metabolomics diagnostic approach to mustard airway diseases: a preliminary study,” IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES, vol. 21, no. 1, pp. 59–69, 2018, [Online]. Available: https://sid.ir/paper/722764/en

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