Literature DB >> 18812456

Transcriptomic analysis of PPARalpha-dependent alterations during cardiac hypertrophy.

Pascal J H Smeets1, Heleen M de Vogel-van den Bosch, Peter H M Willemsen, Alphons P Stassen, Torik Ayoubi, Ger J van der Vusse, Marc van Bilsen.   

Abstract

Peroxisome proliferator-activated receptor (PPAR)alpha regulates lipid metabolism at the transcriptional level and modulates the expression of genes involved in inflammation, cell proliferation, and differentiation. Although PPARalpha has been shown to mitigate cardiac hypertrophy, knowledge about underlying mechanisms and the nature of signaling pathways involved is fragmentary and incomplete. The aim of this study was to identify the processes and signaling pathways regulated by PPARalpha in hearts challenged by a chronic pressure overload by means of whole genome transcriptomic analysis. PPARalpha-/- and wild-type mice were subjected to transverse aortic constriction (TAC) for 28 days, and left ventricular gene expression profile was determined with Affymetrix GeneChip Mouse Genome 430 2.0 arrays containing >45,000 probe sets. In unchallenged hearts, the mere lack of PPARalpha resulted in 821 differentially expressed genes, many of which are related to lipid metabolism and immune response. TAC resulted in a more pronounced cardiac hypertrophy and more extensive changes in gene expression (1,910 and 312 differentially expressed genes, respectively) in PPARalpha-/- mice than in wild-type mice. Many of the hypertrophy-related genes were related to development, signal transduction, actin filament organization, and collagen synthesis. Compared with wild-type hypertrophied hearts, PPARalpha-/- hypertrophied hearts revealed enrichment of gene clusters related to extracellular matrix remodeling, immune response, oxidative stress, and inflammatory signaling pathways. The present study therefore demonstrates that, in addition to lipid metabolism, PPARalpha is an important modulator of immune and inflammatory response in cardiac muscle.

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Year:  2008        PMID: 18812456     DOI: 10.1152/physiolgenomics.90296.2008

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  23 in total

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