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Published on: June 25, 2010
Global urinary metabolic profiling procedures using gas chromatography-mass spectrometry
Eric Chun Yong Chan1, Kishore Kumar Pasikanti, Jeremy K Nicholson
1Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore. phaccye@nus.edu.sg
This study details a gas chromatography-mass spectrometry (GC/MS) protocol for comprehensive urinary metabolic profiling. The method efficiently identifies hundreds of metabolites, aiding systems biology and personalized healthcare research.
Area of Science:
- Biochemistry
- Systems Biology
- Analytical Chemistry
Background:
- Urinary metabolic profiling is crucial for systems biology, clinical diagnostics, and personalized healthcare.
- Techniques like NMR, LC/MS, and GC/MS are used for metabolic profiling.
- Expanding applications necessitate efficient and comprehensive profiling methods.
Purpose of the Study:
- To describe a detailed protocol for urine collection, storage, and GC/MS analysis.
- To outline methods for data preprocessing, chemometric analysis, and metabolite identification.
- To present a protocol capable of profiling 400-600 metabolites in a high throughput manner.
Main Methods:
- Urine sample preparation includes urea depletion, protein precipitation, and trimethylsilyl derivatization.
- Gas chromatography-mass spectrometry (GC/MS) is employed for metabolite separation and detection.
- Chemometric analysis and established methods are used for data processing and metabolite identification.
Main Results:
- The protocol enables the metabolic profiling of approximately 400-600 metabolites per sample.
- The method supports high-throughput analysis, processing up to 120 urine samples weekly.
- GC/MS results are complementary to other metabolomic techniques like NMR and LC/MS.
Conclusions:
- This protocol provides a robust and efficient method for urinary metabolic profiling using GC/MS.
- The high throughput and comprehensive nature of the protocol support its application in large-scale studies.
- This method advances the utility of urinary metabolomics in systems biology, diagnostics, and personalized medicine.
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