Literature DB >> 26968104

Plasma miR-124-3p and miR-16 concentrations as prognostic markers in acute stroke.

Timothy Hudson Rainer1, Ling Yan Leung1, Cangel Pui Yee Chan1, Yuk Ki Leung1, Jill Morales Abrigo2, Defeng Wang2, Colin A Graham3.   

Abstract

OBJECTIVES: This study aimed to investigate plasma concentrations of miR-124-3p and miR-16 as prognostic markers in emergency department patients with acute stroke. DESIGN AND METHODS: Plasma concentrations of miR-124-3p and miR-16 of 84 stroke patients (presenting to the emergency department within 24h from onset of symptoms) were determined by RT-qPCR. The primary outcome measure was 3-month mortality and the secondary outcome measure was post-stroke modified Rankin Score (mRS).
RESULTS: Twelve patients (14.3%) died within 3months of hospital admission and forty-one (48.8%) patients as achieved a 3-month mRS>2. Median plasma miR-124-3p concentrations were elevated in patients who died compared to patients who survived (p=0.0052), and its levels were found to be higher in patients with a 3-month mRS>2 compared with patients with mRS≤2 (p=0.0312). Higher plasma miR-16 concentrations were observed in patients who survived than in patients who died (p=0.0394), while its concentrations were lower in patients achieving mRS>2 than in patients with mRS≤2 (p=0.0124). For a subgroup of cases presenting to the emergency department within 6h from time of symptom onset (n=36), plasma miR-124-3p concentrations predicted 3-month mortality with an area under the ROC curve of 0.87 (95%CI: 0.72-0.96).
CONCLUSIONS: Plasma miR-124-3p and miR-16 are molecular markers which could be useful for the early prediction of mortality and mRS.
Copyright © 2016 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Plasma; Prognosis; Stroke; microRNA

Mesh:

Substances:

Year:  2016        PMID: 26968104     DOI: 10.1016/j.clinbiochem.2016.02.016

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


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