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Early biomarkers of stroke.

Publication ,  Journal Article
Reynolds, MA; Kirchick, HJ; Dahlen, JR; Anderberg, JM; McPherson, PH; Nakamura, KK; Laskowitz, DT; Valkirs, GE; Buechler, KF
Published in: Clin Chem
October 2003

BACKGROUND: The diagnosis and management of acute ischemic stroke are limited by the lack of rapid diagnostic assays for use in an emergency setting. Computed tomography (CT) scanning is used to diagnose hemorrhagic stroke but is relatively ineffective (<33% sensitive) in detecting ischemic stroke. The ability to correlate blood-borne protein biomarkers with stroke phenotypes would aid in the development of such rapid tests. METHODS: ELISAs for >50 protein biomarkers were developed for use on a high-throughput robotic workstation. These assays were used to screen plasma samples from 214 healthy donors and 223 patients diagnosed with stroke, including 82 patients diagnosed with acute ischemic stroke. Marker assay values were first compared by univariate analysis, and then the top markers were subjected to multivariate analysis to derive a marker panel algorithm for the prediction of stroke. RESULTS: The top markers from this analysis were S-100b (a marker of astrocytic activation), B-type neurotrophic growth factor, von Willebrand factor, matrix metalloproteinase-9, and monocyte chemotactic protein-1. In a panel algorithm in which three or more marker values above their respective cutoffs were scored as positive, these five markers provided a sensitivity of 92% at 93% specificity for ischemic stroke samples taken within 6 h from symptom onset. CONCLUSION: A marker panel approach to the diagnosis of stroke may provide a useful adjunct to CT scanning in the emergency setting.

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Published In

Clin Chem

DOI

ISSN

0009-9147

Publication Date

October 2003

Volume

49

Issue

10

Start / End Page

1733 / 1739

Location

England

Related Subject Headings

  • von Willebrand Factor
  • Stroke
  • Sensitivity and Specificity
  • S100 Proteins
  • S100 Calcium Binding Protein beta Subunit
  • Regression Analysis
  • Prognosis
  • Nerve Growth Factors
  • Matrix Metalloproteinase 9
  • Intracranial Hemorrhages
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Reynolds, M. A., Kirchick, H. J., Dahlen, J. R., Anderberg, J. M., McPherson, P. H., Nakamura, K. K., … Buechler, K. F. (2003). Early biomarkers of stroke. Clin Chem, 49(10), 1733–1739. https://doi.org/10.1373/49.10.1733
Reynolds, Mark A., Howard J. Kirchick, Jeffrey R. Dahlen, Joseph M. Anderberg, Paul H. McPherson, Kevin K. Nakamura, Daniel T. Laskowitz, Gunars E. Valkirs, and Kenneth F. Buechler. “Early biomarkers of stroke.Clin Chem 49, no. 10 (October 2003): 1733–39. https://doi.org/10.1373/49.10.1733.
Reynolds MA, Kirchick HJ, Dahlen JR, Anderberg JM, McPherson PH, Nakamura KK, et al. Early biomarkers of stroke. Clin Chem. 2003 Oct;49(10):1733–9.
Reynolds, Mark A., et al. “Early biomarkers of stroke.Clin Chem, vol. 49, no. 10, Oct. 2003, pp. 1733–39. Pubmed, doi:10.1373/49.10.1733.
Reynolds MA, Kirchick HJ, Dahlen JR, Anderberg JM, McPherson PH, Nakamura KK, Laskowitz DT, Valkirs GE, Buechler KF. Early biomarkers of stroke. Clin Chem. 2003 Oct;49(10):1733–1739.

Published In

Clin Chem

DOI

ISSN

0009-9147

Publication Date

October 2003

Volume

49

Issue

10

Start / End Page

1733 / 1739

Location

England

Related Subject Headings

  • von Willebrand Factor
  • Stroke
  • Sensitivity and Specificity
  • S100 Proteins
  • S100 Calcium Binding Protein beta Subunit
  • Regression Analysis
  • Prognosis
  • Nerve Growth Factors
  • Matrix Metalloproteinase 9
  • Intracranial Hemorrhages