NMR-based plasma metabolic profiling in patients with unstable angina
<em><strong>Objective(s):</strong></em> Unstable angina (UA) is a form of the acute coronary syndrome (ACS) that affects more than a third of the population before age 70. Due to the limitations of diagnostic tests, appropriate identification of UA is difficult. In this study...
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| Format: | Article |
| Language: | English |
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Mashhad University of Medical Sciences
2020-03-01
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| Series: | Iranian Journal of Basic Medical Sciences |
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| Online Access: | http://ijbms.mums.ac.ir/article_14558_d9a8cb980ae6d2687e3867f7307782d4.pdf |
| _version_ | 1818665969844748288 |
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| author | Mohammad Pouralijan Amiri Maryam Khoshkam Reza Madadi koorosh kamali Ghassem Faghanzadeh Ganji Reza Salek Ali Ramazani |
| author_facet | Mohammad Pouralijan Amiri Maryam Khoshkam Reza Madadi koorosh kamali Ghassem Faghanzadeh Ganji Reza Salek Ali Ramazani |
| author_sort | Mohammad Pouralijan Amiri |
| collection | DOAJ |
| description | <em><strong>Objective(s):</strong></em> Unstable angina (UA) is a form of the acute coronary syndrome (ACS) that affects more than a third of the population before age 70. Due to the limitations of diagnostic tests, appropriate identification of UA is difficult. In this study, we proceeded to investigate metabolite profiling in UA patients compared with controls to determine potential candidate biomarkers. <br /><em><strong>Materials and Methods:</strong></em> Ninety-four plasma samples from UA and 32 samples from controls were analyzed based on 1H NMR spectroscopy. The raw data were processed, analyzed, and subjected to partial least squares-discrimination analysis (PLS-DA), a supervised classification method with a good separation of control and UA patients was observed. The most important variables (VIP) ≥1 were selected and submitted to MetaboAnalyst pathway enrichment to identify the most important ones. <br /><em><strong>Results:</strong></em> We identified 17 disturbed metabolites in UA patients in comparison with the controls. These metabolites are involved in various biochemical pathways such as steroid hormone biosynthesis, aminoacyl-tRNA biosynthesis, and lysine degradation. Some of the metabolites were deoxycorticosterone, 17-hydroxyprogesterone, androstenedione, androstanedione, etiocholanolone, estradiol, 2-hydroxyestradiol, 2-hydroxyestrone, 2-methoxyestradiol, and 2-methoxyestrone. In order to determine test applicability in diagnosing UA, a diagnostic model was further created using the receiver operator characteristic (ROC) curve. The areas under the curve (AUC), sensitivity, specificity, and precision were 0.87, 90%, 65%, and 91%, respectively, for diagnosing of UA.<br /><strong><em>Conclusion:</em></strong> These metabolites could not only be useful for the diagnosis of UA patients but also provide more information for further deciphering of the biological processes of UA. |
| first_indexed | 2024-12-17T05:57:05Z |
| format | Article |
| id | doaj.art-f588c64063d246b3a5234bcd94c9261e |
| institution | Directory Open Access Journal |
| issn | 2008-3866 2008-3874 |
| language | English |
| last_indexed | 2024-12-17T05:57:05Z |
| publishDate | 2020-03-01 |
| publisher | Mashhad University of Medical Sciences |
| record_format | Article |
| series | Iranian Journal of Basic Medical Sciences |
| spelling | doaj.art-f588c64063d246b3a5234bcd94c9261e2022-12-21T22:01:00ZengMashhad University of Medical SciencesIranian Journal of Basic Medical Sciences2008-38662008-38742020-03-0123331132010.22038/ijbms.2020.39979.947514558NMR-based plasma metabolic profiling in patients with unstable anginaMohammad Pouralijan Amiri0Maryam Khoshkam1Reza Madadi2koorosh kamali3Ghassem Faghanzadeh Ganji4Reza Salek5Ali Ramazani6Department of Genetics & Molecular Medicine, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, IranChemistry Group, Faculty of Basic Sciences, University of MohagheghArdabili, Ardabil, IranDepartment of Cardiology, Mousavi Hospital, Zanjan University of Medical Sciences, Zanjan, IranZanjan Metabolic Diseases Research Center, Zanjan University of Medical Sciences, Zanjan, IranCardiac Surgery Department, Rohani Hospital, Babol University of Medical Sciences, Babol, IranInternational Agency for Research on Cancer,150cours Albert Thomas, 69372 Lyon CEDEX 08, Lyon, FranceZanjan Metabolic Diseases Research Center, Zanjan University of Medical Sciences, Zanjan, Iran|Cancer Gene Therapy Research Center, Zanjan University of Medical Sciences, Zanjan, Iran<em><strong>Objective(s):</strong></em> Unstable angina (UA) is a form of the acute coronary syndrome (ACS) that affects more than a third of the population before age 70. Due to the limitations of diagnostic tests, appropriate identification of UA is difficult. In this study, we proceeded to investigate metabolite profiling in UA patients compared with controls to determine potential candidate biomarkers. <br /><em><strong>Materials and Methods:</strong></em> Ninety-four plasma samples from UA and 32 samples from controls were analyzed based on 1H NMR spectroscopy. The raw data were processed, analyzed, and subjected to partial least squares-discrimination analysis (PLS-DA), a supervised classification method with a good separation of control and UA patients was observed. The most important variables (VIP) ≥1 were selected and submitted to MetaboAnalyst pathway enrichment to identify the most important ones. <br /><em><strong>Results:</strong></em> We identified 17 disturbed metabolites in UA patients in comparison with the controls. These metabolites are involved in various biochemical pathways such as steroid hormone biosynthesis, aminoacyl-tRNA biosynthesis, and lysine degradation. Some of the metabolites were deoxycorticosterone, 17-hydroxyprogesterone, androstenedione, androstanedione, etiocholanolone, estradiol, 2-hydroxyestradiol, 2-hydroxyestrone, 2-methoxyestradiol, and 2-methoxyestrone. In order to determine test applicability in diagnosing UA, a diagnostic model was further created using the receiver operator characteristic (ROC) curve. The areas under the curve (AUC), sensitivity, specificity, and precision were 0.87, 90%, 65%, and 91%, respectively, for diagnosing of UA.<br /><strong><em>Conclusion:</em></strong> These metabolites could not only be useful for the diagnosis of UA patients but also provide more information for further deciphering of the biological processes of UA.http://ijbms.mums.ac.ir/article_14558_d9a8cb980ae6d2687e3867f7307782d4.pdfbiomarkermetabolitesmetabolomicsnmr spectroscopyunstable angina |
| spellingShingle | Mohammad Pouralijan Amiri Maryam Khoshkam Reza Madadi koorosh kamali Ghassem Faghanzadeh Ganji Reza Salek Ali Ramazani NMR-based plasma metabolic profiling in patients with unstable angina Iranian Journal of Basic Medical Sciences biomarker metabolites metabolomics nmr spectroscopy unstable angina |
| title | NMR-based plasma metabolic profiling in patients with unstable angina |
| title_full | NMR-based plasma metabolic profiling in patients with unstable angina |
| title_fullStr | NMR-based plasma metabolic profiling in patients with unstable angina |
| title_full_unstemmed | NMR-based plasma metabolic profiling in patients with unstable angina |
| title_short | NMR-based plasma metabolic profiling in patients with unstable angina |
| title_sort | nmr based plasma metabolic profiling in patients with unstable angina |
| topic | biomarker metabolites metabolomics nmr spectroscopy unstable angina |
| url | http://ijbms.mums.ac.ir/article_14558_d9a8cb980ae6d2687e3867f7307782d4.pdf |
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