Left ventricular gene expression profile of healthy and cardiovascular compromised XXXX models used in air pollution studies.

@entity64 @entity712 @entity101 @entity28 @entity209 @entity299 @entity35 @entity65
UNASSIGNED: The link between pollutant exposure and @entity65 ( @entity65 ) has prompted mechanistic research with animal models of @entity65 . We hypothesized that the cardiac gene expression patterns of healthy and genetically compromised, @entity65 -prone @entity35 models, with or without @entity209 , will reveal underlying disease processes that facilitate understanding of the mechanisms of air pollution susceptibility differences. Left ventricular gene expression was examined using Affymetrix @entity35 230A-gene arrays in male, age-matched (12-14 weeks old) healthy @entity35 Kyoto (WKY) and CV-compromised spontaneously @entity101 (SH), @entity64 -prone SH (SHSP), @entity28 SH @entity712 (SHHF) and @entity28 insulin-resistant (JCR) @entity35 . Principle component analysis separated strains in three clusters: (1) WKY, (2) JCR and )3) SH, SHSP and SHHF. Gene expression pattern in JCR differed from all other @entity65 strains. Both SHHF and JCR strains presented the most differentially expressed genes from WKY, but generally with opposing directional pattern suggesting that the @entity65 in these strains arise through different mechanisms. Hierarchical clustering of nuclear factor-kappaB target genes indicated varying degrees of, but similar directional changes, in SH, SHSP and SHHF relative to WKY @entity35 , which may relate to the severity of their @entity65 . The JCR strain had less pronounced expressions of these genes suggesting milder @entity299 . No unique expression pattern could be identified for genes implicated in @entity64 and @entity712 in SHSP and SHHF @entity35 , respectively. The data show that the @entity65 pathophysiological mechanisms differ in models with different genetic backgrounds, and therefore, the mechanisms by which air pollutants affect the cardiopulmonary system are likely to vary.
