Journal of Semnan University of Medical Sciences
Nuclear magnetic resonance -based metabolomics analysis of patients exposed to sulfur mustard in different stages using random forest method
Authors
7,*Abstract
Introduction: Metabolomics is a powerful technique for determination of biomarkers. Here, we aimed to determine discriminatory metabolomic profiles in different stages of sulfur mustard-exposed patients (SMEPs). Materials and methods: Nuclear magnetic resonance spectroscopy was used to analyze serum samples from 17 SMEPs (normal group patients) and 17 SMEPs (severe group patients). Multivariate statistical analysis using random forest (RF) was performed on a ‘training set’ (70% of the total sample) in order to produce a discriminatory model classifying two groups of patients, and the model tested in the remaining subjects. Results: A classification model was derived using data from the training set with an area under the receiver operating curve (AUC) of 0.87. In the test set (the remaining 30% of subjects), the AUC was 0.8, thus RF model had good predictive power. We observed significant changes in lipid, amino acids and energy metabolism between two groups of patients. Conclusion: Nuclear magnetic resonance spectroscopy of serum successfully differentiates two groups of patients exposed to sulfur mustard. This technique has the potential to provide novel diagnostics and identify novel pathophysiological mechanisms, biomarkers and therapeutic targets
Highlights
Copyright
© 2016, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.
Similar Articles
Metabolomic Biomarkers in the Diagnosis of Non-Alcoholic Fatty Liver Disease
Chashmniam S, Ghafourpour M, Rezaei Farimani A, Gholami A, Nobakht Motlagh Ghoochani BF. Metabolomic Biomarkers in the Diagnosis of Non-Alcoholic Fatty Liver Disease. Hepat Mon. 2019;19(9):e92244. doi: https://doi.org/10.5812/hepatmon.92244
Survey of potential diagnostic metabolite markers in serum of the rat model of Alzheimer’s disease using nuclear magnatic resonance (1H-NMR) technique
fgoshadrou@yahoo.com F, Farrokhi-Yekta R, ArefiOskouie A, Eslami M. Survey of potential diagnostic metabolite markers in serum of the rat model of Alzheimer’s disease using nuclear magnatic resonance (1H-NMR) technique. koomesh. 2021;23(1):e153245. doi:
Targeted Metabolomic Analysis of Plasma Glycine, Serine, and Glutamic Acid in Neonatal Sepsis: A Case-Control Study
Mirnia K, Sangsari R, Mohebbi A, Saeedi M, Saif Othman Al-Haddad M, et al. Targeted Metabolomic Analysis of Plasma Glycine, Serine, and Glutamic Acid in Neonatal Sepsis: A Case-Control Study. Arch Clin Infect Dis. 2026;21(1):e166146. doi: https://doi.org/10.5812/archcid-166146
Magnetic Resonance Spectroscopic Findings of Chronic Lesions in Two Subtypes of Multiple Sclerosis: Primary Progressive Versus Relapsing Remitting
Rahimian N, Saligheh Rad H, Firouznia K, Ebrahimzadeh SA, Meysamie A, et al. Magnetic Resonance Spectroscopic Findings of Chronic Lesions in Two Subtypes of Multiple Sclerosis: Primary Progressive Versus Relapsing Remitting. I J Radiol. 2013;10(3):128-132. doi: https://doi.org/10.5812/iranjradiol.11336
Advantage of Applying OSC to 1H NMR-Based Metabonomic Data of Celiac Disease
Rezaei-Tavirani M, Fathi F, Darvizeh F, Zali MR, Rostami Nejad M, et al. Advantage of Applying OSC to 1H NMR-Based Metabonomic Data of Celiac Disease. Int J Endocrinol Metab. 2012;10(3):. doi: https://doi.org/10.5812/ijem.3058
- Scopus by DOI: 0
Last Update: 4 days ago
- Scopus by Title: 2
Last Update: 4 days ago
- Scopus by Title (Ref): 2
Last Update: 4 days ago
- CrossRef: 0
Last Update: 7 hours ago
- OpenAlex: 0
Last Update: 10 hours ago
- OpenCitations: 0
Last Update: 4 days ago