Toward a Faster, More Accurate Way to Diagnose Stroke
News Apr 10, 2014
When someone suffers from a stroke, a silent countdown begins. A fast diagnosis and treatment can mean the difference between life and death. So scientists are working on a new blood test that one day could rapidly confirm whether someone is having a stroke and what kind. Their report appears in the ACS journal Analytical Chemistry.
Steven A. Soper and colleagues note that strokes, which are the third leading cause of death and disability in the United States, have two possible causes. In ischemic strokes, a clot stops blood flow in a part of the brain. In hemorrhagic stroke, a blood vessel in the brain ruptures. Both can lead to similar symptoms, such as numbness on one side of the body, sudden weakness and headache. Current diagnostic tests can’t tell between these two types. But treatment, ideally within three hours of onset, depends on the kind of stroke a person is having. Soper’s collaborator, Alison Baird, who is at SUNY Downstate Stroke Center, found clues — or biomarkers — in the blood that can suggest the stroke type and assist in determining the course of proper treatment. Soper’s team sought a way to detect those clues quickly.
They built a device that can process whole blood and isolate genetic material for two potential stroke biomarkers within minutes. Keeping in mind that identifying more biomarkers could aid in diagnosis, they designed their device so it can analyze a total of four biomarkers at the same time.
The article is entitled "Parallel Affinity-Based Isolation of Leukocyte Subsets Using Microfluidics: Application for Stroke Diagnosis" .
When the Human Genome Project was completed, in 2003, it opened the door to a radical new idea of health - that of personalized medicine, in which disease risk and appropriate treatment would be gleaned from one's genetic makeup. In a new article, researchers discuss how gene interaction networks hold the clues to disease susceptibility and treatment response.READ MORE
Researchers have developed an artificial intelligence platform to detect a range of neurodegenerative diseases in human brain tissue samples, including Alzheimer’s disease and chronic traumatic encephalopathy. Their discovery will help scientists develop targeted biomarkers and therapeutics, resulting in a more accurate diagnosis of complex brain diseases.READ MORE