Dataset Information

Dataset in support of patients on clinical suspicion of infective endocarditis included in a study searching for novel putative biomarkers

ABSTRACT: Infective endocarditis (IE) has high mortality, partly due to delayed diagnosis and treatment. Currently, no biomarker can identify IE in patients with fever and clinical picture of infection. To find putative biomarkers we analyzed serum levels of two proteins found in cardiac valves, osteoprotegerin and fibulin-1 among 689 and 696 patients on clinical suspicion of IE, respectively. In addition, proteomic analyses were performed in 24 patients with bacteremia, 12 patients with definite IE and 12 patients with excluded IE.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

SUBMITTER: Allan Stensballe

LAB HEAD: Allan Stensballe

PROVIDER: PXD010149 | Pride | 2020-02-26

REPOSITORIES: Pride

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Publications

Towards identification of novel putative biomarkers for infective endocarditis by serum proteomic analysis.

Snipsøyr Magnus Giske MG Wiggers Henrik H Ludvigsen Maja M Stensballe Allan A Vorum Henrik H Poulsen Steen Hvitfeldt SH Rasmussen Lars Melholt LM Petersen Eskild E Honoré Bent B

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases 20200219

<h4>Introduction</h4>Infective endocarditis (IE) has high mortality, partly due to delayed diagnosis. No biomarker can identify IE in patients with fever and clinical picture of infection. To find putative biomarkers we analyzed serum levels of two proteins found in cardiac valves, fibulin-1 (n=696) and osteoprotegerin (n=689) among patients on clinical suspicion of IE. Proteomic analyses were performed in 24 patients with bacteremia, 12 patients with definite IE and 12 patients with excluded IE ...[more]

PMID: 32087365

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Project description: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 a dense network from which arose numerous subnetworks including major histocompatibily complex and natural killer cell network, type 1 interferon pathway and intracellular traffic. Quantitative real-time RT-PCR performed on a selection of highly modulated genes showed that the expression of the gene encoding S100 calcium binding protein A11 (S100A11) was significantly increased in patients with IE in comparison with controls (P<0.001) and patients with excluded IE (P<0.05). Interestingly, the upregulated expression of S100A11 gene was more pronounced in staphylococcal IE than in streptococcal IE (P<0.01). These results were confirmed by serum concentrations of the S100A11 protein. Finally, we showed that, in patients with IE, the upregulation of aquaporin-9 gene (AQP9) was significantly related to the occurrence of acute heart failure (P=0.02). ConclusionsM-bM-^@M-^T Using transcriptional signatures of blood samples, we identified S100A11 as a potential diagnostic marker of IE. In addition, the determination of AQP9 may improve the prognostic assessment of IE. The transcriptomic case-control study was performed in 39 consecutive patients with native valve IE (IE group) diagnosed by a multidisciplinary team who applied the modified Duke criteria,12 10 patients admitted for a suspicion of IE but with a final excluded IE diagnosis. Ten IE patients and five controls were arbitrary selected and investigated with microarrays.

Dataset Information

Dataset in support of patients on clinical suspicion of infective endocarditis included in a study searching for novel putative biomarkers

Publications

Towards identification of novel putative biomarkers for infective endocarditis by serum proteomic analysis.

Similar Datasets

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