BACKGROUND AND PURPOSE: A blood-based biomarker of acute ischemic stroke would be of significant value in clinical practice. This study aimed to (1) replicate in a larger cohort our previous study using gene expression profiling to predict ischemic stroke; and (2) refine prediction of ischemic stroke by including control groups relevant to ischemic stroke. METHODS: Patients with ischemic stroke (n=70, 199 samples) were compared with control subjects who were healthy (n=38), had vascular risk factors (n=52), and who had myocardial infarction (n=17). Whole blood was drawn ≤3 hours, 5 hours, and 24 hours after stroke onset and from control subjects. RNA was processed on whole genome microarrays. Genes differentially expressed in ischemic stroke were identified and analyzed for predictive ability to discriminate stroke from control subjects. RESULTS: The 29 probe sets previously reported predicted a new set of ischemic strokes with 93.5% sensitivity and 89.5% specificity. Sixty- and 46-probe sets differentiated control groups from 3-hour and 24-hour ischemic stroke samples, respectively. A 97-probe set correctly classified 86% of ischemic strokes (3 hour+24 hour), 84% of healthy subjects, 96% of vascular risk factor subjects, and 75% with myocardial infarction. CONCLUSIONS: This study replicated our previously reported gene expression profile in a larger cohort and identified additional genes that discriminate ischemic stroke from relevant control groups. This multigene approach shows potential for a point-of-care test in acute ischemic stroke.
BACKGROUND AND PURPOSE: A blood-based biomarker of acute ischemic stroke would be of significant value in clinical practice. This study aimed to (1) replicate in a larger cohort our previous study using gene expression profiling to predict ischemic stroke; and (2) refine prediction of ischemic stroke by including control groups relevant to ischemic stroke. METHODS:Patients with ischemic stroke (n=70, 199 samples) were compared with control subjects who were healthy (n=38), had vascular risk factors (n=52), and who had myocardial infarction (n=17). Whole blood was drawn ≤3 hours, 5 hours, and 24 hours after stroke onset and from control subjects. RNA was processed on whole genome microarrays. Genes differentially expressed in ischemic stroke were identified and analyzed for predictive ability to discriminate stroke from control subjects. RESULTS: The 29 probe sets previously reported predicted a new set of ischemic strokes with 93.5% sensitivity and 89.5% specificity. Sixty- and 46-probe sets differentiated control groups from 3-hour and 24-hour ischemic stroke samples, respectively. A 97-probe set correctly classified 86% of ischemic strokes (3 hour+24 hour), 84% of healthy subjects, 96% of vascular risk factor subjects, and 75% with myocardial infarction. CONCLUSIONS: This study replicated our previously reported gene expression profile in a larger cohort and identified additional genes that discriminate ischemic stroke from relevant control groups. This multigene approach shows potential for a point-of-care test in acute ischemic stroke.
Authors: Yang Tang; Huichun Xu; XinLi Du; Lisa Lit; Wynn Walker; Aigang Lu; Ruiqiong Ran; Jeffrey P Gregg; Melinda Reilly; Art Pancioli; Jane C Khoury; Laura R Sauerbeck; Janice A Carrozzella; Judith Spilker; Joseph Clark; Kenneth R Wagner; Edward C Jauch; Dongwoo J Chang; Piero Verro; Joseph P Broderick; Frank R Sharp Journal: J Cereb Blood Flow Metab Date: 2006-01-04 Impact factor: 6.200
Authors: Thomas Thom; Nancy Haase; Wayne Rosamond; Virginia J Howard; John Rumsfeld; Teri Manolio; Zhi-Jie Zheng; Katherine Flegal; Christopher O'Donnell; Steven Kittner; Donald Lloyd-Jones; David C Goff; Yuling Hong; Robert Adams; Gary Friday; Karen Furie; Philip Gorelick; Brett Kissela; John Marler; James Meigs; Veronique Roger; Stephen Sidney; Paul Sorlie; Julia Steinberger; Sylvia Wasserthiel-Smoller; Matthew Wilson; Philip Wolf Journal: Circulation Date: 2006-01-11 Impact factor: 29.690
Authors: Arthur M Pancioli; Joseph Broderick; Thomas Brott; Thomas Tomsick; Jane Khoury; Judy Bean; Gregory del Zoppo; Dawn Kleindorfer; Daniel Woo; Pooja Khatri; John Castaldo; James Frey; James Gebel; Scott Kasner; Chelsea Kidwell; Thomas Kwiatkowski; Richard Libman; Richard Mackenzie; Phillip Scott; Sidney Starkman; R Jason Thurman Journal: Stroke Date: 2008-09-04 Impact factor: 7.914
Authors: Boryana S Stamova; Michelle Apperson; Wynn L Walker; Yingfang Tian; Huichun Xu; Peter Adamczy; Xinhua Zhan; Da-Zhi Liu; Bradley P Ander; Isaac H Liao; Jeffrey P Gregg; Renee J Turner; Glen Jickling; Lisa Lit; Frank R Sharp Journal: BMC Med Genomics Date: 2009-08-05 Impact factor: 3.063
Authors: Yingfang Tian; Boryana Stamova; Glen C Jickling; Dazhi Liu; Bradley P Ander; Cheryl Bushnell; Xinhua Zhan; Ryan R Davis; Piero Verro; William C Pevec; Nasim Hedayati; David L Dawson; Jane Khoury; Edward C Jauch; Arthur Pancioli; Joseph P Broderick; Frank R Sharp Journal: J Cereb Blood Flow Metab Date: 2011-12-14 Impact factor: 6.200
Authors: Grant C O'Connell; Madison B Treadway; Connie S Tennant; Noelle Lucke-Wold; Paul D Chantler; Taura L Barr Journal: Transl Stroke Res Date: 2018-03-17 Impact factor: 6.829