Currently there is only one approved drug treatment for acute ischemic stroke, t-PA. t-PA is a highly beneficial treatment but is severely underutilized due largely to fear of an often fatal side effect called hemorrhagic transformation. There is a critical clinical need for a diagnostic to identify patients that are at high and low risk of hemorrhagic transformation (HT). A preliminary study showed that plasma level of cellular fibronectin (c-Fn) was predictive of t-PA induced HT. We will collect patient samples and perform a validation study to confirm the utility of c-Fn as a molecular diagnostic for the prediction of more severe forms of HT. In this study we will determine the threshold levels of c-Fn that are most predictive of outcome, determine if the elevation of c-Fn is time dependant, and follow c-Fn levels through treatment. In addition we will analyze additional plasma biomarkers, matrix metalloprotease 9 (MMP9), apolipoprotein C-III (Apo-C), and serum amyloid A (SAA) as potential contributors to c-Fn to more accurately predict HT. A successful diagnostic would greatly improve safety and increase use of t-PA/thrombolytics in the treatment of stroke. This validation study develops the first biomarker-based diagnostic to aid physicians in the identification of patients with high and low risk of bleeding as a result of clot busting treatment of acute ischemic stroke. Successful development will increase safety and usage of this highly beneficial treatment as well as lower overall healthcare cost as a result of stroke. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43NS057921-01
Application #
7220477
Study Section
Special Emphasis Panel (ZRG1-BDCN-F (11))
Program Officer
Golanov, Eugene V
Project Start
2007-04-01
Project End
2009-03-31
Budget Start
2007-04-01
Budget End
2009-03-31
Support Year
1
Fiscal Year
2007
Total Cost
$206,191
Indirect Cost
Name
Prediction Sciences, LLC
Department
Type
DUNS #
364233523
City
La Jolla
State
CA
Country
United States
Zip Code
92037