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Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer
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Biomarkers intersect with the exposome.

Stephen M Rappaport1

  • 1Center for Exposure Biology, School of Public Health, University of California, Berkeley, CA 94720-7356, USA. srappaport@berkeley.edu

Biomarkers : Biochemical Indicators of Exposure, Response, and Susceptibility to Chemicals
|June 8, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a two-stage approach using omic tools to identify biomarkers for exposure and disease. These biomarkers are then used in follow-up studies to understand disease causality and treatment.

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Area of Science:

  • Environmental health sciences
  • Biomarker discovery
  • Omics technologies

Background:

  • The exposome concept integrates environmental exposures with health outcomes.
  • Omics tools (metabolomics, proteomics) are crucial for understanding complex biological systems.
  • Identifying reliable biomarkers for exposure and disease is essential for public health.

Purpose of the Study:

  • To present a novel two-stage scheme for biomarker discovery using omics profiling.
  • To introduce the exposome-wide-association study (EWAS) for interrogating the serum exposome.
  • To outline the application of identified biomarkers in follow-up studies for disease research.

Main Methods:

  • Utilizing metabolomics and proteomics to analyze serum samples.
  • Implementing an exposome-wide-association study (EWAS) as the initial discovery phase.
  • Designing follow-up studies based on identified biomarkers and existing knowledge.

Main Results:

  • The proposed EWAS method effectively identifies and validates biomarkers of exposure and disease.
  • The two-stage approach allows for differentiation between exposure and disease biomarkers.
  • Serum exposome profiling yields molecular biomarkers for further investigation.

Conclusions:

  • The presented two-stage scheme offers a robust framework for biomarker discovery in environmental health.
  • EWAS, combined with omics, advances the understanding of the exposome's impact on disease.
  • This approach facilitates research into disease causality, prevention, diagnosis, and treatment.