Literature DB >> 26738811

Identification of Plasma Biomarkers of Human Intracerebral Hemorrhage Subtypes through Microarray Technology.

Cristina Merino-Zamorano1, Pilar Delgado1, Sofía Fernández de Retana1, Israel Fernández-Cadenas1, David Rodríguez-Luna2, Joan Montaner3, Mar Hernández-Guillamon4.   

Abstract

BACKGROUND: Intracerebral hemorrhage (ICH) is a devastating form of stroke and depending on the underlying cause, primary ICH is mainly caused by hypertension (HTN-ICH) or cerebral amyloid angiopathy (CAA-ICH). Currently, neuroimaging markers are required to identify the pattern for each etiology. The discovery of new biomarkers to improve the management of this pathology is therefore needed.
METHODS: A microarray analysis was carried out to analyze gene expression differences in blood samples from patients (>1.5 months since the last ICH event) who suffered a CAA-ICH and HTN-ICH, and controls. The results were replicated by quantitative polymerase chain reaction and the plasma protein level of the best candidate was measured with enzyme-linked immunosorbent assay.
RESULTS: The microarray analysis and the validation study revealed an increase in Golgin A8 Family, Member A (GOLGA8A) mRNA and protein levels in ICH cases compared to controls (P < .01), although no differences were found between specific ICH etiologies. GOLGA8A plasma levels were also associated with the presence of multiple hemorrhages (P < .05).
CONCLUSIONS: The GOLGA8A level was increased in the blood of patients who suffered a primary ICH. We did not, however, find any candidate biomarker that distinguished CAA-ICH from HTN-ICH. The role of GOLGA8A in this fatal disorder has yet to be determined.
Copyright © 2016 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Intracerebral hemorrhage; biomarker; cerebral amyloid angiopathy; hypertensive-related hemorrhage; microarray analysis; stroke

Mesh:

Substances:

Year:  2015        PMID: 26738811     DOI: 10.1016/j.jstrokecerebrovasdis.2015.11.032

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  1 in total

1.  SPP1 and AGER as potential prognostic biomarkers for lung adenocarcinoma.

Authors:  Weiguo Zhang; Junli Fan; Qiang Chen; Caipeng Lei; Bin Qiao; Qin Liu
Journal:  Oncol Lett       Date:  2018-03-12       Impact factor: 2.967

  1 in total

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