Experimental and Study Design Considerations for Uncovering Oncometabolites.

Area of Science:

• Biochemistry
• Systems Biology
• Biomarker Discovery

Background:

• Metabolomics provides a "top-down" integrated view of biochemistry, reflecting disease phenotype.
• It analyzes thousands of endogenous metabolites in biospecimens like blood and urine.
• Metabolomics directly captures the downstream effects of posttranslational modifications.

Purpose of the Study:

• To provide an overview of analytical methods in metabolomics.
• To discuss study design concepts for high-throughput metabolomics.
• To guide untargeted metabolomics studies for human disease biomarker discovery.

Main Methods:

• High-throughput untargeted metabolomics.
• Analysis of clinical biospecimens (tissue, biofluids).
• Detection of endogenous metabolites.

Main Results:

• Metabolomics enables detection of thousands of metabolites.
• Biological fluid samples allow detailed study of time-dependent metabolite fluctuations.
• The field supports biomarker discovery for human diseases.

Conclusions:

• Metabolomics is a powerful tool for understanding disease phenotypes.
• Careful study design is crucial for high-throughput metabolomics.
• This chapter offers guidance for effective metabolomics research.