Researchers hope to develop test that could detect early changes in blood flow to heart
A Duke Health pilot project 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., M.D., 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.
The Latest on: Metabolite biomarkers
[google_news title=”” keyword=”metabolite biomarkers” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]
via Google News
The Latest on: Metabolite biomarkers
- ACTG Presents Study at CROI Elucidating Mechanism of CMV on Aging-Related Pathways in HIVon March 4, 2024 at 7:55 am
CMV is a chronic and usually asymptomatic virus carried by 60 percent of adults in the general population and more than 95 percent of people living with HIV. Prior to the availability of effective ...
- Studies on Coffee Consumption−New Biomarker Proposedon March 4, 2024 at 1:58 am
Roman Lang, who heads the Biosystems Chemistry & Human Metabolism research group at the Leibniz Institute, explains: "As we have shown, N-methylpyridinium fulfills all the criteria that science ...
- Metabolon introduces ‘groundbreaking’ bioinformatics platformon March 1, 2024 at 6:33 am
Metabolon, Inc., a prominent figure in metabolomics solutions, has launched a seminal integrated bioinformatics platform, aiming to redefine metabolomics analysis in life sciences research.
- Blood-Based Biomarkers to Help Screen, Diagnose Alzheimer'son February 27, 2024 at 4:00 pm
Blood-based biomarkers have shown considerable promise for taking on these and other functions in both clinical and research settings. In Alzheimer's drug trials, blood markers already are ...
- Deep Learning Model Accurately Detects, Predicts Alzheimer’s Diseaseon February 22, 2024 at 5:00 am
Novel deep learning model leverages metabolic biomarkers to predict the likelihood that Alzheimer's disease will develop long before clinical symptom onset.
- AI Predicts, Detects Alzheimer's Disease in New Studyon February 20, 2024 at 10:02 pm
A recent study conducted by researchers at West Virginia University has unveiled a series of diagnostic metabolic biomarkers, paving the way for the development of artificial intelligence (AI) tools ...
- Researchers use AI to predict, detect Alzheimer's diseaseon February 20, 2024 at 12:37 pm
Researchers at West Virginia University have identified a set of diagnostic metabolic biomarkers that can help them develop artificial intelligence tools to detect Alzheimer's disease in its early ...
- WVU AI could predict Alzheimer’s disease in patientson February 20, 2024 at 9:21 am
A new study from West Virginia University says researchers can help predict Alzheimer’s disease using AI and biology.
- WVU researchers use AI to predict, detect Alzheimer’s diseaseon February 19, 2024 at 4:00 pm
West Virginia University researchers are using artificial intelligence tools to detect Alzheimer’s disease in its early stages, as well as determine risk factors and treatment interventions.
via Bing News