Metabolic profiling based on nuclear magnetic resonance spectroscopy and mass spectrometry as a tool for clinical application
Metabolomics provides an abundance of information with the potential to accurately describe the physiological state of an organism. It aims to identify small molecules under physiological conditions that might serve as biomarkers and aid in the identification and treatment of health problems. Combin...
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Published in | Urological science Vol. 30; no. 4; pp. 144 - 150 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Wolters Kluwer India Pvt. Ltd
01.07.2019
Medknow Publications and Media Pvt. Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | Metabolomics provides an abundance of information with the potential to accurately describe the physiological state of an organism. It aims to identify small molecules under physiological conditions that might serve as biomarkers and aid in the identification and treatment of health problems. Combining nuclear magnetic resonance (NMR) with mass spectrometry (MS) yields better identification and quantification of compounds, especially in mixtures, as well as the ability to cross-analyze data from both techniques and thereby increase the number of compounds identified. Metabolomic profiling using NMR and/or MS provides an important diagnostic tool for identifying metabolites under different conditions. This also requires a valid and reliable way to standardize the way we use it to identify biomarkers. Regarding the clinical application of metabolomics, for bladder cancer, threonine, phenylalanine, valine, isoleucine, lysine, methionine, leucine, glutamate, histidine, arginine, aspartic acid, tyrosine, glutamine, and serine were found discriminative in diagnosing this entity. On the other side, sarcosine, choline, phosphocholines, phosphorylcholines, carnitines, citrate, amino acids (lysine, glutamine, and ornithine), arachidonoyl amine, and lysophospholipids were found discriminative regarding the prostate cancer diagnosis. |
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ISSN: | 1879-5226 1879-5234 |
DOI: | 10.4103/UROS.UROS_2_19 |