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

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 differ...

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Detalles Bibliográficos
Autores principales: Andreini, Daniele, Melotti, Eleonora, Vavassori, Chiara, Chiesa, Mattia, Piacentini, Luca, Conte, Edoardo, Mushtaq, Saima, Manzoni, Martina, Cipriani, Eleonora, Ravagnani, Paolo M., Bartorelli, Antonio L., Colombo, Gualtiero I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219643/
https://www.ncbi.nlm.nih.gov/pubmed/35740331
http://dx.doi.org/10.3390/biomedicines10061309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219643/
https://www.ncbi.nlm.nih.gov/pubmed/35740331
http://dx.doi.org/10.3390/biomedicines10061309

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