Literature DB >> 26846866

Peripheral Blood MCEMP1 Gene Expression as a Biomarker for Stroke Prognosis.

Kripa Raman1, Martin J O'Donnell1, Anna Czlonkowska1, Yan Carlos Duarte1, Patricio Lopez-Jaramillo1, Ernesto Peñaherrera1, Mike Sharma1, Ashkan Shoamanesh1, Marta Skowronska1, Salim Yusuf1, Guillaume Paré2.   

Abstract

BACKGROUND AND
PURPOSE: A limitation when making early decisions on stroke management is the lack of rapid diagnostic and prognostic testing. Our study sought to identify peripheral blood RNA biomarkers associated with stroke. The secondary aims were to assess the discriminative capacity of RNA biomarkers for primary stroke type and stroke prognosis at 1-month.
METHODS: Whole-blood gene expression profiling was conducted on the discovery cohort: 129 first-time stroke cases that had blood sampling within 5 days of symptom onset and 170 control participants with no history of stroke.
RESULTS: Through multiple regression analysis, we determined that expression of the gene MCEMP1 had the strongest association with stroke of 11 181 genes tested. MCEMP1 increased by 2.4-fold in stroke when compared with controls (95% confidence interval, 2.0-2.8; P=8.2×10(-22)). In addition, expression was elevated in intracerebral hemorrhage when compared with ischemic stroke cases (P=3.9×10(-4)). MCEMP1 was also highest soon after symptom onset and had no association with stroke risk factors. Furthermore, MCEMP1 expression independently improved discrimination of 1-month outcome. Indeed, discrimination models for disability and mortality that included MCEMP1 expression, baseline modified Rankin Scale score, and primary stroke type improved discrimination when compared with a model without MCEMP1 (disability Net Reclassification Index, 0.76; P=3.0×10(-6) and mortality Net Reclassification Index, 1.3; P=1.1×10(-9)). Significant associations with MCEMP1 were confirmed in an independent validation cohort of 28 stroke cases and 34 controls.
CONCLUSIONS: This study demonstrates that peripheral blood expression of MCEMP1 may have utility for stroke diagnosis and as a prognostic biomarker of stroke outcome at 1-month.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  biomarkers; blood; gene expression profiling; prognosis; stroke

Mesh:

Substances:

Year:  2016        PMID: 26846866     DOI: 10.1161/STROKEAHA.115.011854

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  18 in total

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10.  Whole Blood Gene Expression Differentiates between Atrial Fibrillation and Sinus Rhythm after Cardioversion.

Authors:  Kripa Raman; Stefanie Aeschbacher; Matthias Bossard; Thomas Hochgruber; Andreas J Zimmermann; Beat A Kaufmann; Katrin Pumpol; Peter Rickenbacker; Guillaume Paré; David Conen
Journal:  PLoS One       Date:  2016-06-22       Impact factor: 3.240

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