Christine Suh

PressPac: Toward a faster, more accurate way to diagnose stroke

Blog Post created by Christine Suh on Apr 9, 2014

Here’s an item from this week’s PressPac that we thought you’d enjoy. The PressPac features summaries of articles appearing in our peer-reviewed journals and Chemical & Engineering News. To get the entire PressPac in your inbox, email us at newsroom@acs.org.


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 authors acknowledge funding from the National Institute of Biomedical Imaging and Bioengineering.


“Parallel Affinity-Based Isolation of Leukocyte Subsets Using Microfluidics: Application for Stroke Diagnosis”


Click here for the abstract.


*Journalists can request a PDF of the journal article by emailing newsroom@acs.org.


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