{"database":"biostudies-other","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":[null],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-DIXA-D-1094"],"project":["Cardio disease collection"],"repository":["biostudies-other"],"additional_accession":[]},"is_claimable":false,"name":"Gene Expression Analysis of Blood Reveals S100A11 and AQP9 as Potential Biomarkers of Infective Endocarditis","description":"Background—Diagnosis and pronostic assessment are challenging in infective endocarditis (IE). To investigate the host response during IE and identify potential biomarkers, we determined the circulating gene expression profile through a whole genome microarray analysis. Methods and Results—A transcriptomic case-control study was performed on blood samples from patients with native valve IE (n=39), excluded IE after an initial suspicion (n=10) at patient’s admission, and age-matched healthy controls (n=10). The whole genome microarray analysis showed that patients with IE exhibited a specific transcriptional program with a predominance of gene categories associated with cell activation, innate immune and inflammatory responses. These categories were organized in a dense network from which ar","dates":{"release":"2016-05-11T14:27:26Z","modification":"2016-05-11T14:27:26Z","creation":"2016-05-11T09:53:34Z"},"accession":"S-DIXA-D-1094","cross_references":{"GEO":["GSE29161"],"ArrayExpress":["E-GEOD-29161"]}}