JOURNAL ARTICLE

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

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.

Keywords:
Gene expression profiling Peripheral blood mononuclear cell Gene expression Heart failure Gene signature Biology DNA microarray Microarray Significance analysis of microarrays Chemokine Microarray analysis techniques Real-time polymerase chain reaction Gene Internal medicine Immunology Bioinformatics Medicine Inflammation Genetics

Metrics

60
Cited By
3.29
FWCI (Field Weighted Citation Impact)
44
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Viral Infections and Immunology Research
Health Sciences →  Medicine →  Cardiology and Cardiovascular Medicine
RNA Research and Splicing
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Cardiac Fibrosis and Remodeling
Health Sciences →  Medicine →  Cardiology and Cardiovascular Medicine
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