Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Gene Expression Analysis of Blood Reveals S100A11 and AQP9 as Potential Biomarkers of Infective Endocarditis


ABSTRACT: BackgroundM-bM-^@M-^TDiagnosis 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 ResultsM-bM-^@M-^TA 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 patientM-bM-^@M-^Ys 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

ORGANISM(S): Homo sapiens

SUBMITTER: adil ef 

PROVIDER: E-GEOD-29161 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress