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ABSTRACT: Background
The methods currently available for diagnosis and prognosis of cerebral ischaemia still require further improvements. Micro-RNAs (small non-coding RNAs) have been recently reported as useful biomarkers in diseases such as cancer and diabetes. We therefore carried out microRNA (miRNA) profiling from peripheral blood to detect and identify characteristic patterns in ischaemic stroke.Methods/principal findings
The ischaemic stroke patients aged between 18-49 years, characterized based on World Health Organization clinical criteria were further classified according to TOAST classification, a) Large-vessel atherosclerosis [n=8] b) Small-vessel disease [n=3] c) Cardioembolism [n=5] d) Undetermined cause [n=3]. The patients' functional status at the time of blood sampli
SUBMITTER: Tan KS
PROVIDER: S-EPMC2765616 | biostudies-literature | 2009 Nov
REPOSITORIES: biostudies-literature