Literature DB >> 20460602

Global gene expression analysis in nonfailing and failing myocardium pre- and postpulsatile and nonpulsatile ventricular assist device support.

Patrick Schwientek1, Peter Ellinghaus, Sonja Steppan, Donatella D'Urso, Michael Seewald, Astrid Kassner, Ramona Cebulla, Sebastian Schulte-Eistrup, Michiel Morshuis, Daniela Röfe, Aly El Banayosy, Reiner Körfer, Hendrik Milting.   

Abstract

Mechanical unloading by ventricular assist devices (VAD) leads to significant gene expression changes often summarized as reverse remodeling. However, little is known on individual transcriptome changes during VAD support and its relationship to nonfailing hearts (NF). In addition no data are available for the transcriptome regulation during nonpulsatile VAD support. Therefore we analyzed the gene expression patterns of 30 paired samples from VAD-supported (including 8 nonpulsatile VADs) and 8 nonfailing control hearts (NF) using the first total human genome array available. Transmural myocardial samples were collected for RNA isolation. RNA was isolated by commercial methods and processed according to chip-manufacturer recommendations. cRNA were hybridized on Affymetrix HG-U133 Plus 2.0 arrays, providing coverage of the whole human genome Array. Data were analyzed using Microarray Analysis Suite 5.0 (Affymetrix) and clustered by Expressionist software (Genedata). We found 352 transcripts were differentially regulated between samples from VAD implantation and NF, whereas 510 were significantly regulated between VAD transplantation and NF (paired t-test P < 0.001, fold change >or=1.6). Remarkably, only a minor fraction of 111 transcripts was regulated in heart failure (HF) and during VAD support. Unsupervised hierarchical clustering of paired VAD and NF samples revealed separation of HF and NF samples; however, individual differentiation of VAD implantation and VAD transplantation was not accomplished. Clustering of pulsatile and nonpulsatile VAD did not lead to robust separation of gene expression patterns. During VAD support myocardial gene expression changes do not indicate reversal of the HF phenotype but reveal a distinct HF-related pattern. Transcriptome analysis of pulsatile and nonpulsatile VAD-supported hearts did not provide evidence for a pump mode-specific transcriptome pattern.

Entities:  

Mesh:

Year:  2010        PMID: 20460602     DOI: 10.1152/physiolgenomics.00030.2010

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


  17 in total

Review 1.  Is myocardial recovery possible and how do you measure it?

Authors:  Douglas L Mann; Daniel Burkhoff
Journal:  Curr Cardiol Rep       Date:  2012-06       Impact factor: 2.931

2.  Effects of stretch and shortening on gene expression in intact myocardium.

Authors:  Charles R Haggart; Elizabeth G Ames; Jae K Lee; Jeffrey W Holmes
Journal:  Physiol Genomics       Date:  2013-12-03       Impact factor: 3.107

3.  Direct factor Xa inhibition attenuates acute lung injury progression via modulation of the PAR-2/NF-κB signaling pathway.

Authors:  Meng Shi; Linlin Wang; Jian Zhou; Shimeng Ji; Ningfang Wang; Lin Tong; Jing Bi; Yuanlin Song; Jie Hu; Xiaofeng Chen
Journal:  Am J Transl Res       Date:  2018-08-15       Impact factor: 4.060

4.  Methods to increase reproducibility in differential gene expression via meta-analysis.

Authors:  Timothy E Sweeney; Winston A Haynes; Francesco Vallania; John P Ioannidis; Purvesh Khatri
Journal:  Nucleic Acids Res       Date:  2016-09-14       Impact factor: 16.971

Review 5.  State of the art of mechanical circulatory support.

Authors:  Hari R Mallidi; Jatin Anand; William E Cohn
Journal:  Tex Heart Inst J       Date:  2014-04-01

Review 6.  Left ventricular assist device-induced reverse remodeling: it's not just about myocardial recovery.

Authors:  Karolina K Marinescu; Nir Uriel; Douglas L Mann; Daniel Burkhoff
Journal:  Expert Rev Med Devices       Date:  2016-12-22       Impact factor: 3.166

Review 7.  Mitochondrial protein phosphorylation as a regulatory modality: implications for mitochondrial dysfunction in heart failure.

Authors:  Brian O'Rourke; Jennifer E Van Eyk; D Brian Foster
Journal:  Congest Heart Fail       Date:  2011-11-09

8.  Increasing reproducibility, robustness, and generalizability of biomarker selection from meta-analysis using Bayesian methodology.

Authors:  Laurynas Kalesinskas; Sanjana Gupta; Purvesh Khatri
Journal:  PLoS Comput Biol       Date:  2022-06-27       Impact factor: 4.779

9.  A 6-gene panel as a signature to predict recovery from advanced heart failure using transcriptomic analysis.

Authors:  Shangjie Zou; Bee Luan Khoo
Journal:  Genes Dis       Date:  2022-01-05

10.  Pediatric and adult dilated cardiomyopathy represent distinct pathological entities.

Authors:  Meghna D Patel; Jayaram Mohan; Caralin Schneider; Geetika Bajpai; Enkhsaikhan Purevjav; Charles E Canter; Jeffrey Towbin; Andrea Bredemeyer; Kory J Lavine
Journal:  JCI Insight       Date:  2017-07-20
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.