UNASSIGNED: The genetic @entity65 ( @entity65 ) and associated @entity209 can influence the @entity651 from inhaled pollutants. We hypothesized that comparative assessment of global pulmonary expression profile of healthy and @entity65 -prone @entity35 models will provide mechanistic insights into susceptibility differences to @entity1787 . The lung expression profiles of healthy @entity35 Kyoto (WKY) and @entity65 -compromised spontaneously @entity101 (SH), @entity64 -prone SH (SHSP), @entity28 SH @entity712 (SHHF) and @entity28 , @entity731 -prone JCR @entity35 were analyzed using Affymetrix platform immediately after 4-h air or 1   ppm @entity1787 exposure. At baseline, the JCR exhibited the largest difference in the number of genes among all strains when compared with WKY. Interestingly, the number of genes affected by @entity1787 was inversely correlated with genes different at baseline relative to WKY. A cluster of NFkB target genes involved in cell-adhesion, antioxidant response, @entity32 and apoptosis was induced in all strains, albeit at different levels (JCR   <   WKY   <   SHHF   <   SH   <   SHSP). The lung metabolic syndrome gene cluster indicated expressions in opposite directions for SHHF and JCR suggesting different mechanisms for common disease phenotype and perhaps @entity28 -independent contribution to exacerbated @entity358 . The differences in expression of adrenergic receptors and ion-channel genes suggested distinct mechanisms by which @entity1787 might induce protein leakage in @entity65 models, especially SHHF and JCR. Thus, the pulmonary response to @entity1787 in @entity65 strains was likely linked to the defining gene expression profiles. Differential transcriptional patterns between healthy and @entity65 @entity35 strains at baseline, and after @entity1787 suggests that @entity55 and injury might be influenced by multiple biological pathways affecting @entity32 gene signatures.

Pulmonary transcriptional response to XXXX in healthy and cardiovascular compromised @entity35 models.

@entity32 :: ('MESH:D007249', 'Disease') :: ['inflammation'] @entity64 :: ('MESH:D020521', 'Disease') :: ['stroke'] @entity712 :: ('MESH:D006333', 'Disease') :: ['heart failure'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertensive'] @entity35 :: ('10116', 'Species') :: ['rat', 'Wistar', 'rats'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obesity', 'obese'] @entity55 :: ('MESH:D011014', 'Disease') :: ['lung inflammation'] @entity651 :: ('MESH:D055370', 'Disease') :: ['lung injury'] @entity358 :: ('MESH:D008171', 'Disease') :: ['lung disease'] @entity65 :: ('MESH:D002318', 'Disease') :: ['CVD', 'cardiovascular disease'] @entity209 :: ('MESH:D008659', 'Disease') :: ['metabolic impairments'] @entity731 :: ('MESH:D050197', 'Disease') :: ['atherosclerosis'] @entity1787 :: ('MESH:D010126', 'Chemical') :: ['ozone']
@entity1787 :: (MESH:D010126,Chemical) :: ['ozone']
