Biomarkers may help better predict who will have a stroke

"Identifying people who are at risk for stroke can help us determine who would benefit most from existing or new therapies to prevent stroke," said study author Ashkan Shoamanesh, MD, of McMaster University in Hamilton, Canada, and a member of the American Academy of Neurology. "Future research could also investigate whether lowering the levels of these biomarkers or blocking their action could be a way to prevent strokes. However, our study does not provide evidence that these markers are validated well enough to be implemented in clinical practice."

For the study, researchers from the Boston University Schools of Medicine and Public Health measured the levels of 15 biomarkers associated with inflammation in the blood of people from the Framingham Heart Study Offspring Cohort who had never had a stroke. The 3,224 participants were an average age of 61 at the start of the study and were followed for an average of nine years. During that time, 98 people had a stroke.

Of the 15 biomarkers, four were associated with an increased risk of stroke. People with elevated homocysteine were 32 percent more likely to have a stroke. Those with high vascular endothelial growth factor were 25 percent more likely; those with high ln-C reactive protein were 28 percent more likely; and those with high ln-tumor necrosis factor receptor 2 were 33 percent more likely to have a stroke during the study.

Adding these four biomarkers to an existing method of predicting a person's stroke risk based on factors such as age, sex, cholesterol and blood pressure, called the Framingham Stroke Risk Profile, improved the ability to predict who would develop a stroke.

Shoamanesh noted that the study was observational. It shows a relationship between high levels of the biomarkers and stroke; it does not establish that the high levels cause stroke. He also noted that the biomarkers were measured only once and researchers did not account for infections, chronic diseases or other conditions that could have affected the results. In addition, study participants are mainly of European ancestry and the results may not apply to other populations.