RESUMEN
Cardiovascular disease (CVD) is the biggest cause of death globally. CVD is caused by atherosclerosis which is the accumulation of fatty deposits, often within the fine arteries of the heart or brain. These blockages reduce blood flow and lead to oxygen starvation (ischemia) which can lead to heart attacks and strokes. To treat blocked arteries an implantable device called a stent re-opens the artery to reinstate blood flow to the organ. The stent itself can become blocked over time by cell growth (intimal hyperplasia) which is characterised by excessive smooth muscle cell proliferation. Sensors based on electrical impedance spectroscopy (EIS) embedded in a stent could detect this re-blocking to allow for early intervention. Using platinum interdigitated electrodes on silicon sensor wafers we were able to co-culture different ratios of mouse smooth muscle cells and mouse endothelial cells on these sensors. This mimics the complex, multicellular environment which a stent is found in vivo when undergoing neo-intimal hyperplasia. Trends in the cell impedances were then characterised using the detection frequency and the gradient of change between populations over time which we termed 'Peak Cumulative Gradients (PCG). PCGs were calculated to successfully discriminate each cell type. This work moves towards a sensor that may help guide clinician's decision-making in a disease that is historically silent and difficult to detect. Clinical Relevance-This moves towards an early warning system for the detection of neo intimal hyperplasia ultimately leading to a reduction in stent complications.
