Whole-Blood Transcriptional Profiles Enable Early Prediction of the Presence of Coronary Atherosclerosis and High-Risk Plaque Features at Coronary CT Angiography

被引:6
作者
Andreini, Daniele [1 ,2 ]
Melotti, Eleonora [1 ]
Vavassori, Chiara [1 ,3 ]
Chiesa, Mattia [1 ,4 ]
Piacentini, Luca [1 ]
Conte, Edoardo [1 ,5 ]
Mushtaq, Saima [1 ]
Manzoni, Martina [1 ]
Cipriani, Eleonora [1 ]
Ravagnani, Paolo M. [1 ]
Bartorelli, Antonio L. [1 ,2 ]
Colombo, Gualtiero I. [1 ]
机构
[1] Ctr Cardiol Monzino IRCCS, I-20138 Milan, Italy
[2] Univ Milan, Dept Biomed & Clin Sci Luigi Sacco, I-20121 Milan, Italy
[3] Univ Milan, Dept Clin Sci & Community Hlth, I-20121 Milan, Italy
[4] Politecn Milan, Dept Elect Informat & Biomed Engn, I-20133 Milan, Italy
[5] Univ Milan, Dept Biomed Sci Hlth, I-20121 Milan, Italy
关键词
RNA sequencing analysis; circulating transcriptome; coronary CT; advanced plaque analysis; DIAGNOSTIC PERFORMANCE; GENE-EXPRESSION; ARTERY-DISEASE; BIOMARKERS; NORMALIZATION; PROTEOMICS; FRAMEWORK; STENOSIS;
D O I
10.3390/biomedicines10061309
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Existing tools to estimate cardiovascular (CV) risk have sub-optimal predictive capacities. In this setting, non-invasive imaging techniques and omics biomarkers could improve risk-prediction models for CV events. This study aimed to identify gene expression patterns in whole blood that could differentiate patients with severe coronary atherosclerosis from subjects with a complete absence of detectable coronary artery disease and to assess associations of gene expression patterns with plaque features in coronary CT angiography (CCTA). Patients undergoing CCTA for suspected coronary artery disease (CAD) were enrolled. Coronary stenosis was quantified and CCTA plaque features were assessed. The whole-blood transcriptome was analyzed with RNA sequencing. We detected highly significant differences in the circulating transcriptome between patients with high-degree coronary stenosis (>= 70%) in the CCTA and subjects with an absence of coronary plaque. Notably, regression analysis revealed expression signatures associated with the Leaman score, the segment involved score, the segment stenosis score, and plaque volume with density <150 HU at CCTA. This pilot study shows that patients with significant coronary stenosis are characterized by whole-blood transcriptome profiles that may discriminate them from patients without CAD. Furthermore, our results suggest that whole-blood transcriptional profiles may predict plaque characteristics.
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页数:14
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