Key Features
Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.
Learn MoreAim:; To improve risk stratification in patients with stable coronary artery disease (CAD), we aimed to identify genes in monocytes predictive of new ischemic events in patients with CAD and determine to what extent expression of these transcripts resembles expression in acute myocardial infarction (AMI).; Results:; COX10 and ZNF484 distinguished between AMI and the whole group of stable CAD patients with an accuracy of 90%. COX10 and ZNF484 together with MT-COI and WNK1 distinguished AMI patients from stable CAD patients with and without a new event with a sensitivity of 89% and a specificity of 98%. MT-COI and COX10 increased the accuracy for separating stable CAD patients with and without a new coronary event from 68 to 80% in addition to age, gender, BMI, diabetes, lipids, blood pressure and hs-CRP. Interestingly, expression of MT-COI, COX10 and WNK1 (but not ZNF484) in PBMCs paired with that in monocytes; COX10 in whole blood was similar to that in monocytes.; Conclusions:; This work showed that COX10 and ZNF484, eventually combined with MT-COI and WNK1 have the potential to accurately discriminate between AMI and stable CAD patients, and may improve the risk assessment of stable CAD patients. SOURCE: Paul HOLVOET (paul.holvoet@telenet.be) - KULeuven
View on GEOView in PlutoEnhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.
Learn MoreUse Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.
Read about post-pipeline analysisView quality control data and experiment metadata for this experiment.
Request imports from GEO or TCGA directly within Pluto Bio.
Chat with our Scientific Insights team