Induction of gene pattern changes associated with dysfunctional lipid metabolism induced by dietary fat and exposure to a persistent organic pollutant

Xabier Arzuaga, Na Ren, Arnold Stromberg, Esther P. Black, Violeta Arsenescu, Lisa A. Cassis, Zuzana Majkova, Michal Toborek, Bernhard Hennig

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

Environmental modulators of chronic diseases can include nutrition, lifestyle, as well as exposure to environmental toxicants such as persistent organic pollutants. A study was designed to explore gene expression changes as affected by both dietary fat and exposure to the polychlorinated biphenyl PCB77. Mice were fed for 4 months diets enriched with high-linoleic acid oils (20% and 40% as calories), and during the last 2 months half of each group was exposed to PCB77. Ribonucleic acids (RNA) were extracted from liver tissue to determine gene expression changes using DNA microarray analysis. Our microarray data demonstrated a significant interaction between dietary fat and PCB exposure. Deregulated genes were organized into patterns describing the interaction of diet and PCB exposure. Annotation of the deregulated genes matching these probe sets revealed a significant high-fat mediated induction of genes associated with fatty acid metabolism, triacylglycerol synthesis and cholesterol catabolism, which was down-regulated in animals exposed to PCB77. Many of these genes are regulated by the peroxisome proliferator activated receptor-α (PPARα), and changes in PPARα gene expression followed the same gene pattern as described above. These results provide insight into molecular mechanisms of how dietary fat can interact with environmental pollutants to compromise lipid metabolism.

Original languageEnglish (US)
Pages (from-to)96-101
Number of pages6
JournalToxicology Letters
Volume189
Issue number2
DOIs
StatePublished - Sep 10 2009

Keywords

  • Lipid metabolism
  • Microarray
  • Nutrition
  • PCB77
  • PPARα

ASJC Scopus subject areas

  • Toxicology

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