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Series GSE48060 Query DataSets for GSE48060
Status Public on Feb 28, 2014
Title Transcriptome from circulating cells suggests dysregulated pathways associated with long-term recurrent events following first-time myocardial infarction.
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Whole-genome gene expression analysis has been successfully utilized to diagnose, prognosticate, and identify potential therapeutic targets for cardiovascular disease. However, the utility of this approach to identify outcome-related genes and dysregulated pathways following first-time myocardial infarction (AMI) remains unknown and may offer a novel strategy to detect affected expressome networks that predict long-term outcome. Whole-genome microarray and targeted cytokine expression profiling on blood samples from normal cardiac function controls and first-time AMI patients within 48-hours post-MI revealed expected differential gene expression profiles enriched for inflammation and immune-response pathways in AMI patients. To determine molecular signatures at the time of AMI that could prognosticate long-term outcomes, transcriptional profiles from sub-groups of AMI patients with (n=5) or without (n=22) any recurrent events over an 18-month follow-up were compared. This analysis identified 559 differentially expressed genes. Bioinformatic analysis of this differential gene set for associated pathways revealed 1) increasing disease severity in AMI patients is associated with a decreased expression of the developmental epithelial-to-mesenchymal transition, and 2) modulation of cholesterol transport genes that include ABCA1, CETP, APOA1, and LDLR is associated with clinical outcome. In conclusion, differentially regulated genes and modulated pathways were identified that predicted recurrent cardiovascular outcomes in first-time AMI patients. This cell-based approach for risk stratification in AMI warrants a larger study to determine the role of metabolic remodeling and regenerative processes required for optimal outcomes. A validated transcriptome assay could represent a novel, non-invasive platform to anticipate modifiable pathways and therapeutic targets to optimize long-term outcome for AMI patients.
 
Overall design The overall experimental design includes blood samples from 21 control and 31 myocardial infaction patient groups. Among the 31patients, 5 patients have recurrent events. Microarray were peformed on the blood samples and comparisons of control vs patient and patients with recurrent events vs patients without recurrent events were performed to identify differential genes related to disease or patients groups with recurrent events for the following bioinformatic analysis.
 
Contributor(s) Suresh R, Li X, Chiriac A, Goel K, Terzic A, Perez-Terzic C, Nelson TJ
Citation(s) 24801707
Submission date Jun 18, 2013
Last update date Mar 25, 2019
Contact name XING LI
E-mail(s) li.xing@mayo.edu
Organization name Mayo Clinic
Department Health Sciences Research
Street address 200 1st street SW
City Rochester
State/province MN
ZIP/Postal code 55905
Country USA
 
Platforms (1)
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Samples (52)
GSM1167072 Peripheral blood, patient with recurrent events [N21]
GSM1167073 Peripheral blood, patient without recurrent events [N23]
GSM1167074 Peripheral blood, patient without recurrent events [N24]
Relations
BioProject PRJNA208840

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE48060_RAW.tar 245.2 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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