The gene expression analysis of blood reveals S100A11 and AQP9 as potential biomarkers of infective endocarditis.

<h4>Background</h4>The diagnostic and prognostic assessments of infective endocarditis (IE) are challenging. To investigate the host response during IE and to identify potential biomarkers, we determined the circulating gene expression profile using whole genome microarray analysis.<h...

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Autores principales:	Franck Thuny, Julien Textoris, Amira Ben Amara, Adil El Filali, Christian Capo, Gilbert Habib, Didier Raoult, Jean-Louis Mege
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f624930d12c4462a843753d72114b93b
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spelling	oai:doaj.org-article:f624930d12c4462a843753d72114b93b2021-11-18T07:28:51ZThe gene expression analysis of blood reveals S100A11 and AQP9 as potential biomarkers of infective endocarditis.1932-620310.1371/journal.pone.0031490https://doaj.org/article/f624930d12c4462a843753d72114b93b2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22319637/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>The diagnostic and prognostic assessments of infective endocarditis (IE) are challenging. To investigate the host response during IE and to identify potential biomarkers, we determined the circulating gene expression profile using whole genome microarray analysis.<h4>Methods and results</h4>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). Whole genome microarray analysis showed that patients with IE exhibited a specific transcriptional program with a predominance of gene categories associated with cell activation as well as innate immune and inflammatory responses. 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 the 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 the aquaporin-9 gene (AQP9) was significantly associated with the occurrence of acute heart failure (P = 0.02).<h4>Conclusions</h4>Using transcriptional signatures of blood samples, we identified S100A11 as a potential diagnostic marker of IE, and AQP9 as a potential prognostic factor.Franck ThunyJulien TextorisAmira Ben AmaraAdil El FilaliChristian CapoGilbert HabibDidier RaoultJean-Louis MegePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 2, p e31490 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Franck Thuny Julien Textoris Amira Ben Amara Adil El Filali Christian Capo Gilbert Habib Didier Raoult Jean-Louis Mege The gene expression analysis of blood reveals S100A11 and AQP9 as potential biomarkers of infective endocarditis.
description	<h4>Background</h4>The diagnostic and prognostic assessments of infective endocarditis (IE) are challenging. To investigate the host response during IE and to identify potential biomarkers, we determined the circulating gene expression profile using whole genome microarray analysis.<h4>Methods and results</h4>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). Whole genome microarray analysis showed that patients with IE exhibited a specific transcriptional program with a predominance of gene categories associated with cell activation as well as innate immune and inflammatory responses. 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 the 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 the aquaporin-9 gene (AQP9) was significantly associated with the occurrence of acute heart failure (P = 0.02).<h4>Conclusions</h4>Using transcriptional signatures of blood samples, we identified S100A11 as a potential diagnostic marker of IE, and AQP9 as a potential prognostic factor.
format	article
author	Franck Thuny Julien Textoris Amira Ben Amara Adil El Filali Christian Capo Gilbert Habib Didier Raoult Jean-Louis Mege
author_facet	Franck Thuny Julien Textoris Amira Ben Amara Adil El Filali Christian Capo Gilbert Habib Didier Raoult Jean-Louis Mege
author_sort	Franck Thuny
title	The gene expression analysis of blood reveals S100A11 and AQP9 as potential biomarkers of infective endocarditis.
title_short	The gene expression analysis of blood reveals S100A11 and AQP9 as potential biomarkers of infective endocarditis.
title_full	The gene expression analysis of blood reveals S100A11 and AQP9 as potential biomarkers of infective endocarditis.
title_fullStr	The gene expression analysis of blood reveals S100A11 and AQP9 as potential biomarkers of infective endocarditis.
title_full_unstemmed	The gene expression analysis of blood reveals S100A11 and AQP9 as potential biomarkers of infective endocarditis.
title_sort	gene expression analysis of blood reveals s100a11 and aqp9 as potential biomarkers of infective endocarditis.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/f624930d12c4462a843753d72114b93b
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The gene expression analysis of blood reveals S100A11 and AQP9 as potential biomarkers of infective endocarditis.

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