Metabolomics for Biomarker Discovery: Moving to the Clinic

To improve the clinical course of diseases, more accurate diagnostic and assessment methods are required as early as possible. In order to achieve this, metabolomics offers new opportunities for biomarker discovery in complex diseases and may provide pathological understanding of diseases beyond tra...

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Bibliographic Details
Published in:BioMed research international 2015-01, Vol.2015 (2015), p.1-6
Main Authors: Wang, Ping, Yan, Guangli, Sun, Hui, Zhang, Aihua, Wang, Xijun
Format: Article
Language:English
Subjects:
Advantages
Bioinformatics
Biological markers
Biomarkers
Biomedical Research
Chromatography
Disease
Genotype & phenotype
Grants
Health aspects
Humans
Mass spectrometry
Medical diagnosis
Metabolism
Metabolites
Metabolomics
Observations
Pathology
Review
Science
Scientific imaging
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Summary:To improve the clinical course of diseases, more accurate diagnostic and assessment methods are required as early as possible. In order to achieve this, metabolomics offers new opportunities for biomarker discovery in complex diseases and may provide pathological understanding of diseases beyond traditional technologies. It is the systematic analysis of low-molecular-weight metabolites in biological samples and has become an important tool in clinical research and the diagnosis of human disease and has been applied to discovery and identification of the perturbed pathways. It provides a powerful approach to discover biomarkers in biological systems and offers a holistic approach with the promise to clinically enhance diagnostics. When carried out properly, it could provide insight into the understanding of the underlying mechanisms of diseases, help to identify patients at risk of disease, and predict the response to specific treatments. Currently, metabolomics has become an important tool in clinical research and the diagnosis of human disease and becomes a hot topic. This review will highlight the importance and benefit of metabolomics for identifying biomarkers that accurately screen potential biomarkers of diseases.
ISSN:2314-6133
2314-6141
DOI:10.1155/2015/354671