Literature DB >> 19336532

Gene expression profiles in peripheral blood mononuclear cells of chronic heart failure patients.

Claudia Cappuzzello1, Monica Napolitano, Diego Arcelli, Guido Melillo, Roberta Melchionna, Luca Di Vito, Daniele Carlini, Lorena Silvestri, Salvatore Brugaletta, Giovanna Liuzzo, Filippo Crea, Maurizio C Capogrossi.   

Abstract

The present study was aimed at identifying chronic heart failure (CHF) biomarkers from peripheral blood mononuclear cells (PBMCs) in patients with ischemic (ICM) and nonischemic dilated (NIDCM) cardiomyopathy. PBMC gene expression profiling was performed by Affymetrix in two patient groups, 1) ICM (n = 12) and 2) NIDCM (n = 12) New York Heart Association (NYHA) III/IV CHF patients, vs. 3) age- and sex-matched control subjects (n = 12). Extracted RNAs were then pooled and hybridized to a total of 11 microarrays. Gene ontology (GO) analysis separated gene profiling into functional classes. Prediction analysis of microarrays (PAM) and significance analysis of microarrays (SAM) were utilized in order to identify a molecular signature. Candidate markers were validated by quantitative real-time polymerase chain reaction. We identified a gene expression profiling that distinguished between CHF patients and control subjects. Interestingly, among the set of genes constituting the signature, chemokine receptor (CCR2, CX(3)CR1) and early growth response (EGR1, 2, 3) family members were found to be upregulated in CHF patients vs. control subjects and to be part of a gene network. Such findings were strengthened by the analysis of an additional 26 CHF patients (n = 14 ICM and n = 12 NIDCM), which yielded similar results. The present study represents the first large-scale gene expression analysis of CHF patient PBMCs that identified a molecular signature of CHF and putative biomarkers of CHF, i.e., chemokine receptor and EGR family members. Furthermore, EGR1 expression levels can discriminate between ICM and NIDCM CHF patients.

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Year:  2009        PMID: 19336532     DOI: 10.1152/physiolgenomics.90364.2008

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


  27 in total

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