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Diagnostic algorithm for the detection of coronary artery disease mediated by blood RNA biomarkers.

Problem to be solved

Functional tests to demonstratethe presence of ischemia have limited feasibility in patients with reduced mobility and require hospital infrastructure and the expertise of a technician and cardiologist for implementation and interpretation.
Tests such as stress electrocardiogram (ECGs) have limited diagnostic accuracy and imaging-based functional tests are complex to perform and require experienced personnel. Other noninvasive techniques, such as computed tomography angiography (CTA), are much more accurate, but are expensive, and involve exposing the patient to ionizing radiation and contrast media associated with nephrotoxicity. The alternative for a definitive diagnosis is coronary angiography, but this is an invasive technique and can be associated with potentially serious complications.

 

Technology

Predictive algorithm for the diagnosis of cardiovascular disease(CD) with greater accuracy and ease compared to the state of the art. Detection is based on a set of genetic markers, mostly microRNA transcripts, identified in peripheral blood. Biomarker detection is performed by rt-qPCR.

Autors

Marta Tajes, Josep Comín

Technology Readiness Level

TRL4

What are we looking for?

Partners for license agreement or co-development

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