Gene expression profiling of blood for the prediction of ischemic stroke

Boryana Stamova, Huichun Xu, Glen Jickling, Cheryl Bushnell, Yingfang Tian, Bradley Ander, Xinhua Zhan, Da Liu, Renee Turner, Peter Adamczyk, Jane C. Khoury, Arthur Pancioli, Edward Jauch, Joseph P. Broderick, Frank R Sharp

Research output: Contribution to journalArticle

86 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)2171-2177
Number of pages7
JournalStroke
Volume41
Issue number10
DOIs
StatePublished - 2010

Fingerprint

Gene Expression Profiling
Stroke
Control Groups
Point-of-Care Systems
Myocardial Infarction
Transcriptome
Genes
Healthy Volunteers
Biomarkers
Genome
RNA

Keywords

  • biomarkers
  • blood
  • gene expression profiling
  • ischemia
  • stroke

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Clinical Neurology
  • Advanced and Specialized Nursing
  • Medicine(all)

Cite this

Gene expression profiling of blood for the prediction of ischemic stroke. / Stamova, Boryana; Xu, Huichun; Jickling, Glen; Bushnell, Cheryl; Tian, Yingfang; Ander, Bradley; Zhan, Xinhua; Liu, Da; Turner, Renee; Adamczyk, Peter; Khoury, Jane C.; Pancioli, Arthur; Jauch, Edward; Broderick, Joseph P.; Sharp, Frank R.

In: Stroke, Vol. 41, No. 10, 2010, p. 2171-2177.

Research output: Contribution to journalArticle

Stamova, B, Xu, H, Jickling, G, Bushnell, C, Tian, Y, Ander, B, Zhan, X, Liu, D, Turner, R, Adamczyk, P, Khoury, JC, Pancioli, A, Jauch, E, Broderick, JP & Sharp, FR 2010, 'Gene expression profiling of blood for the prediction of ischemic stroke', Stroke, vol. 41, no. 10, pp. 2171-2177. https://doi.org/10.1161/STROKEAHA.110.588335
Stamova, Boryana ; Xu, Huichun ; Jickling, Glen ; Bushnell, Cheryl ; Tian, Yingfang ; Ander, Bradley ; Zhan, Xinhua ; Liu, Da ; Turner, Renee ; Adamczyk, Peter ; Khoury, Jane C. ; Pancioli, Arthur ; Jauch, Edward ; Broderick, Joseph P. ; Sharp, Frank R. / Gene expression profiling of blood for the prediction of ischemic stroke. In: Stroke. 2010 ; Vol. 41, No. 10. pp. 2171-2177.
@article{8188d587d7f540fa9d3cd43745a2863b,
title = "Gene expression profiling of blood for the prediction of ischemic stroke",
abstract = "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.",
keywords = "biomarkers, blood, gene expression profiling, ischemia, stroke",
author = "Boryana Stamova and Huichun Xu and Glen Jickling and Cheryl Bushnell and Yingfang Tian and Bradley Ander and Xinhua Zhan and Da Liu and Renee Turner and Peter Adamczyk and Khoury, {Jane C.} and Arthur Pancioli and Edward Jauch and Broderick, {Joseph P.} and Sharp, {Frank R}",
year = "2010",
doi = "10.1161/STROKEAHA.110.588335",
language = "English (US)",
volume = "41",
pages = "2171--2177",
journal = "Stroke",
issn = "0039-2499",
publisher = "Lippincott Williams and Wilkins",
number = "10",

}

TY - JOUR

T1 - Gene expression profiling of blood for the prediction of ischemic stroke

AU - Stamova, Boryana

AU - Xu, Huichun

AU - Jickling, Glen

AU - Bushnell, Cheryl

AU - Tian, Yingfang

AU - Ander, Bradley

AU - Zhan, Xinhua

AU - Liu, Da

AU - Turner, Renee

AU - Adamczyk, Peter

AU - Khoury, Jane C.

AU - Pancioli, Arthur

AU - Jauch, Edward

AU - Broderick, Joseph P.

AU - Sharp, Frank R

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - biomarkers

KW - blood

KW - gene expression profiling

KW - ischemia

KW - stroke

UR - http://www.scopus.com/inward/record.url?scp=77957982191&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77957982191&partnerID=8YFLogxK

U2 - 10.1161/STROKEAHA.110.588335

DO - 10.1161/STROKEAHA.110.588335

M3 - Article

VL - 41

SP - 2171

EP - 2177

JO - Stroke

JF - Stroke

SN - 0039-2499

IS - 10

ER -