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Updated: Nov 9, 2025

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
Published on: May 27, 2014
Mass Spectrometry-based Metabolomics in Translational Research
Su Jung Kim1, Ha Eun Song1, Hyo Yeong Lee1
1Department of Convergence Medicine, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Metabolomics systematically studies metabolite profiles in biological systems. This approach offers insights into disease mechanisms and aids in biomarker and drug discovery.
Area of Science:
- Biochemistry
- Systems Biology
- Analytical Chemistry
Background:
- Metabolomics analyzes metabolite profiles, reflecting the molecular phenotype closest to an organism's observable traits.
- Metabolite profiles offer comprehensive insights into biochemical processes affected by genetic or environmental factors.
- Unlike transcriptomes or proteomes, metabolomes directly correlate with phenotypic variations and disease states.
Purpose of the Study:
- To review the fundamental concepts of metabolomics.
- To outline the workflows involved in mass spectrometry-based metabolomics.
- To highlight the applications of metabolomics in translational research.
Main Methods:
- Systematic identification and quantification of metabolites.
- Utilizing mass spectrometry for comprehensive metabolite profiling.
- Integrating metabolomic data with other biological information.
Main Results:
- Metabolomics provides a direct link to the phenotype, offering insights into disease pathophysiology.
- Metabolite alterations are crucial indicators of disease states and biomedical symptoms.
- Mass spectrometry-based metabolomics is a powerful tool for translational research.
Conclusions:
- Metabolomics is essential for understanding complex biological systems and disease mechanisms.
- The field is pivotal for biomarker discovery, drug target identification, and assessing drug responses.
- Mass spectrometry-based metabolomics accelerates translational research by linking molecular data to clinical applications.
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