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

Author:

Cappuzzello Claudia1,Napolitano Monica2,Arcelli Diego3,Melillo Guido2,Melchionna Roberta2,Di Vito Luca4,Carlini Daniele2,Silvestri Lorena5,Brugaletta Salvatore4,Liuzzo Giovanna4,Crea Filippo4,Capogrossi Maurizio C.2

Affiliation:

1. Laboratorio di Biologia Vascolare e Terapia Genica, Centro Cardiologico Monzino-IRCCS, Milan

2. Laboratorio di Patologia Vascolare, Istituto Dermopatico dell'Immacolata IRCCS, Rome

3. Laboratorio di Oncologia Molecolare, Bioinformatic Unit, Istituto Dermopatico dell'Immacolata-IRCCS, Rome

4. Institute of Cardiology, Catholic University, Ospedale Gemelli

5. Laboratorio di Analisi, Istituto Dermopatico dell'Immacolata-IRCCS, Rome, Italy

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, CX3CR1) 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.

Publisher

American Physiological Society

Subject

Genetics,Physiology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3