scholarly journals Gene expression profiling in whole blood of patients with coronary artery disease

2010 ◽  
Vol 119 (8) ◽  
pp. 335-343 ◽  
Author(s):  
Chiara Taurino ◽  
William H. Miller ◽  
Martin W. McBride ◽  
John D. McClure ◽  
Raya Khanin ◽  
...  

Owing to the dynamic nature of the transcriptome, gene expression profiling is a promising tool for discovery of disease-related genes and biological pathways. In the present study, we examined gene expression in whole blood of 12 patients with CAD (coronary artery disease) and 12 healthy control subjects. Furthermore, ten patients with CAD underwent whole-blood gene expression analysis before and after the completion of a cardiac rehabilitation programme following surgical coronary revascularization. mRNA and miRNA (microRNA) were isolated for expression profiling. Gene expression analysis identified 365 differentially expressed genes in patients with CAD compared with healthy controls (175 up- and 190 down-regulated in CAD), and 645 in CAD rehabilitation patients (196 up- and 449 down-regulated post-rehabilitation). Biological pathway analysis identified a number of canonical pathways, including oxidative phosphorylation and mitochondrial function, as being significantly and consistently modulated across the groups. Analysis of miRNA expression revealed a number of differentially expressed miRNAs, including hsa-miR-140-3p (control compared with CAD, P=0.017), hsa-miR-182 (control compared with CAD, P=0.093), hsa-miR-92a and hsa-miR-92b (post- compared with pre-exercise, P<0.01). Global analysis of predicted miRNA targets found significantly reduced expression of genes with target regions compared with those without: hsa-miR-140-3p (P=0.002), hsa-miR-182 (P=0.001), hsa-miR-92a and hsa-miR-92b (P=2.2×10−16). In conclusion, using whole blood as a ‘surrogate tissue’ in patients with CAD, we have identified differentially expressed miRNAs, differentially regulated genes and modulated pathways which warrant further investigation in the setting of cardiovascular function. This approach may represent a novel non-invasive strategy to unravel potentially modifiable pathways and possible therapeutic targets in cardiovascular disease.

2015 ◽  
Vol 12 (5) ◽  
pp. 7512-7516 ◽  
Author(s):  
JIAYU LI ◽  
CHANGYU ZHOU ◽  
JIARUI LI ◽  
YINGCHUN WAN ◽  
TAO LI ◽  
...  

2018 ◽  
Vol 97 (4) ◽  
pp. 853-867
Author(s):  
Shiridhar Kashyap ◽  
Sudeep Kumar ◽  
Vikas Agarwal ◽  
Durga P. Misra ◽  
Shubha R. Phadke ◽  
...  

2017 ◽  
Vol 69 ◽  
pp. S29-S30
Author(s):  
K. Shiridhar ◽  
K. Sudeep ◽  
A. Vikas ◽  
M. Durga ◽  
P. Shubha ◽  
...  

Aging ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1486-1500 ◽  
Author(s):  
Liu Miao ◽  
Rui-Xing Yin ◽  
Qing-Hui Zhang ◽  
Xi-Jiang Hu ◽  
Feng Huang ◽  
...  

2014 ◽  
Vol 66 (3) ◽  
pp. 983-988 ◽  
Author(s):  
Hui Li ◽  
Xiaolan Zhong ◽  
Chaomin Li ◽  
Lijing Peng ◽  
Wei Liu ◽  
...  

Coronary artery disease (CAD) is the leading cause of death worldwide. Microarray analysis is a practical approach to study gene transcription changes that may reflect signatures that underlie the pathogenesis of CAD. Using gene expression profile data from the Gene Expression Omnibus database, we identified differentially expressed genes that can contribute to the pathology of CAD. Further pathway and network analyses were also implemented to identify pathways and hub genes related to the disease. We observed 466 downregulated and 560 upregulated genes. The ribosome pathway was the most significantly over-represented pathway with differentially expressed genes. Over 35% of the genes in this pathway were downregulated. Hub genes in the network, such as IL7R, FYN, CALM1 ESR1 and PLCG1, may play crucial roles in the pathogenesis of CAD. Our results facilitate the identification of molecular mechanisms that underlie CAD.


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