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Nutrient-gene interaction: tracer-based metabolomics.

Wai-Nang P Lee1, Vay Liang W Go

  • 1LABiomed Research Institute at Harbor-UCLA Medical Center, University of California-Los Angeles, Los Angeles, CA, USA. lee@labiomed.org

The Journal of Nutrition
|December 1, 2005
PubMed
Summary
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Tracer-based metabolomics characterizes metabolic phenotype and cellular networks. This approach aids in understanding nutrient-gene interactions and their role in cancer risk.

Area of Science:

  • Nutrigenomics
  • Metabolomics
  • Systems Biology

Background:

  • Metabolomics, or metabolite profiling, is crucial for characterizing metabolic phenotype.
  • Tracer-based metabolomics, a subset, quantifies metabolite distribution and flux.
  • Understanding nutrient-gene interactions requires robust phenotyping tools.

Purpose of the Study:

  • To compare metabolite profiling and metabolic flux measurements for phenotyping.
  • To explain the rationale and methodologies of tracer-based metabolomics.
  • To explore nutrient-gene interactions using constraint-based modeling.

Main Methods:

  • Utilizing tracer-based metabolomics for metabolite distribution and flux determination.
  • Comparing metabolite profiling with metabolic flux measurements.

Related Experiment Videos

  • Applying constraint-based modeling to analyze genetic and nutrient influences on phenotype.

    • Main Results:

    • Tracer-based metabolomics generates a relational database of metabolites linked by pathways, substrates, and cofactors.
    • Flux measurements offer precise insights into cellular metabolic network operation and responses to environmental changes.
    • Constraint-based modeling posits that phenotype results from genomic and nutrient environment constraints.

    Conclusions:

    • Tracer-based metabolomics provides critical data for studying nutrient-gene interactions.
    • Understanding metabolic flux is essential for elucidating the relationship between nutrient intake and cancer risk.
    • This approach is fundamental for dissecting the contribution of nutrient and genetic factors to cellular phenotypes, including cancer cell survival.