February 1, 2019 – Researchers hope to develop a test that could detect early changes in blood flow to the heart.
A pilot project by Duke and DCRI researchers suggests that in the near future, a blood test could show whether arteries carrying blood to the heart are narrow or blocked, a risk factor for heart disease.
According to the 40-person study published in the journal PLOS ONE, emergency patients who underwent a treadmill stress test and showed signs of decreased blood flow to the heart also had changes in five metabolites in their blood within two hours.
A control group of patients with normal stress tests did not show the same metabolite changes.
All study subjects had gone to the emergency department with symptoms of coronary disease, such as chest, jaw and shoulder pain.
The researchers hope a larger study could confirm that acute changes in these fatty acid and amino acid metabolites, which are energy sources for cells, could be an early biological indicator of restricted blood flow that could complement or even replace current tests.
“Cardiologists do a stress test to determine who’s at risk for having heart disease,” said lead author Alexander T. Limkakeng Jr., MD, lead author of the study and an associate professor of emergency medicine at Duke. “It guides them on whether they need a more invasive study like a catheterization. Augmenting the imaging of a stress test with metabolite biomarkers could make that process more accurate or more efficient.”
Previous research has suggested that metabolites could indicate heart disease, but scientists have yet to uncover the specific metabolomic signature to look for. For the Duke study, scientists evaluated the presence of more than 60 chemicals or compounds in the blood to identify the five specific metabolites that appeared to change in patients with abnormal cardiac stress tests.
The researchers hope to begin a larger study to further test this approach to detecting coronary artery disease, they said.
In addition to Limkakeng, study authors include Ricardo Henao, Deepak Voora, Thomas O’Connell, Michelle Griffin, Ephraim L. Tsalik, Svati Shah, Chris Woods and Geoffrey Ginsburg.
The research was supported by a grant from the ENhanced Academics in a Basic Laboratory Environment (ENABLE) program of the Duke Private Diagnostic Clinics and Duke University. Full disclosures and potential conflicts of interest are disclosed in the manuscript.