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A New Approach in Applying Systems Engineering Tools and Analysis to Determine Hepatocyte Toxicogenomics Risk Levels

James Gigrich1, Shahryar Sarkani1, Thomas Holzer1

  • 1Department of Engineering Management and Systems Engineering, George Washington University , Washington, DC.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|July 9, 2016
PubMed
Summary

Systems engineering tools assess toxic compound risk by analyzing human hepatocyte stress and gene expression. This approach offers a faster, cost-effective alternative to animal testing for evaluating chemical safety.

Keywords:
hepatocytemahalanobisrisk threshold and systems biologysystems engineeringtoxicitytoxicogenomicstoxicology.

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Area of Science:

  • Toxicology
  • Systems Engineering
  • Genomics

Background:

  • Current animal-based toxicity testing is slow, costly, and may not accurately predict human health risks.
  • A growing backlog of untested compounds poses a significant risk to human health.
  • Interpreting complex genomic data from human cells for toxicity assessment is challenging.

Purpose of the Study:

  • To introduce quantitative systems engineering tools for evaluating toxic compound risk.
  • To analyze stress responses in human hepatocytes exposed to GW7647 in vitro.
  • To establish toxicity threshold risk levels using novel methods.

Main Methods:

  • In vitro exposure of human hepatocytes to varying concentrations and times of GW7647.
  • Measurement of gene expression data related to peroxisome proliferator-activated receptor-alpha (PPARα) binding.
  • Application of Mahalanobis distance to establish toxicity thresholds.

Main Results:

  • Quantitative analysis of hepatocyte stress and gene expression provided new insights into toxicity mechanisms.
  • Mahalanobis distance effectively established toxicity threshold risk levels for GW7647 exposure.
  • The study demonstrated a novel method for in vitro toxicity assessment.

Conclusions:

  • Systems engineering tools offer a powerful approach to understanding human cellular responses to toxic compounds.
  • This method provides a more accurate and efficient alternative to traditional animal testing.
  • The approach can help reduce the backlog of untested chemicals, improving human health risk assessment.