<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><submitter/><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-DIXA-D-1094</full_dataset_link><project>Cardio disease collection</project><repository>biostudies-other</repository></additional><is_claimable>false</is_claimable><name>Gene Expression Analysis of Blood Reveals S100A11 and AQP9 as Potential Biomarkers of Infective Endocarditis</name><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</description><dates><release>2016-05-11T14:27:26Z</release><modification>2016-05-11T14:27:26Z</modification><creation>2016-05-11T09:53:34Z</creation></dates><accession>S-DIXA-D-1094</accession><cross_references><GEO>GSE29161</GEO><ArrayExpress>E-GEOD-29161</ArrayExpress></cross_references></HashMap>