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Peripheral blood RNA gene expression profiling in patients with bacterial meningitis

Objectives: The aim of present study was to find genetic pathways activated during infection with bacterial meningitis (BM) and potentially influencing the course of the infection using genome-wide RNA expression profiling combined with pathway analysis and functional annotation of the differential...

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Autores principales: Lill, Margit, Kõks, Sulev, Soomets, Ursel, Schalkwyk, Leonard C., Fernandes, Cathy, Lutsar, Irja, Taba, Pille
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600829/
https://www.ncbi.nlm.nih.gov/pubmed/23515576
http://dx.doi.org/10.3389/fnins.2013.00033
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author Lill, Margit
Kõks, Sulev
Soomets, Ursel
Schalkwyk, Leonard C.
Fernandes, Cathy
Lutsar, Irja
Taba, Pille
author_facet Lill, Margit
Kõks, Sulev
Soomets, Ursel
Schalkwyk, Leonard C.
Fernandes, Cathy
Lutsar, Irja
Taba, Pille
author_sort Lill, Margit
collection PubMed
description Objectives: The aim of present study was to find genetic pathways activated during infection with bacterial meningitis (BM) and potentially influencing the course of the infection using genome-wide RNA expression profiling combined with pathway analysis and functional annotation of the differential transcription. Methods: We analyzed 21 patients with BM hospitalized in 2008. The control group consisted of 18 healthy subjects. The RNA was extracted from whole blood, globin mRNA was depleted and gene expression profiling was performed using GeneChip Human Gene 1.0 ST Arrays which can assess the transcription of 28,869 genes. Gene expression profile data were analyzed using Bioconductor packages and Bayesian modeling. Functional annotation of the enriched gene sets was used to define the altered genetic networks. We also analyzed whether gene expression profiles depend on the clinical course and outcome. In order to verify the microarray results, the expression levels of ten functionally relevant genes with high statistical significance (CD177, IL1R2, IL18R1, IL18RAP, OLFM4, TLR5, CPA3, FCER1A, IL5RA, and IL7R) were confirmed by quantitative real-time (qRT) PCR. Results: There were 8569 genes displaying differential expression at a significance level of p < 0.05. Following False Discovery Rate (FDR) correction, a total of 5500 genes remained significant at a p-value of < 0.01. Quantitative RT-PCR confirmed the differential expression in 10 selected genes. Functional annotation and network analysis indicated that most of the genes were related to activation of humoral and cellular immune responses (enrichment score 43). Those changes were found in both adults and in children with BM compared to the healthy controls. The gene expression profiles did not significantly depend on the clinical outcome, but there was a strong influence of the specific type of pathogen underlying BM. Conclusion: This study demonstrates that there is a very strong activation of immune response at the transcriptional level during BM and that the type of pathogen influences this transcriptional activation.
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spelling pubmed-36008292013-03-19 Peripheral blood RNA gene expression profiling in patients with bacterial meningitis Lill, Margit Kõks, Sulev Soomets, Ursel Schalkwyk, Leonard C. Fernandes, Cathy Lutsar, Irja Taba, Pille Front Neurosci Genetics Objectives: The aim of present study was to find genetic pathways activated during infection with bacterial meningitis (BM) and potentially influencing the course of the infection using genome-wide RNA expression profiling combined with pathway analysis and functional annotation of the differential transcription. Methods: We analyzed 21 patients with BM hospitalized in 2008. The control group consisted of 18 healthy subjects. The RNA was extracted from whole blood, globin mRNA was depleted and gene expression profiling was performed using GeneChip Human Gene 1.0 ST Arrays which can assess the transcription of 28,869 genes. Gene expression profile data were analyzed using Bioconductor packages and Bayesian modeling. Functional annotation of the enriched gene sets was used to define the altered genetic networks. We also analyzed whether gene expression profiles depend on the clinical course and outcome. In order to verify the microarray results, the expression levels of ten functionally relevant genes with high statistical significance (CD177, IL1R2, IL18R1, IL18RAP, OLFM4, TLR5, CPA3, FCER1A, IL5RA, and IL7R) were confirmed by quantitative real-time (qRT) PCR. Results: There were 8569 genes displaying differential expression at a significance level of p < 0.05. Following False Discovery Rate (FDR) correction, a total of 5500 genes remained significant at a p-value of < 0.01. Quantitative RT-PCR confirmed the differential expression in 10 selected genes. Functional annotation and network analysis indicated that most of the genes were related to activation of humoral and cellular immune responses (enrichment score 43). Those changes were found in both adults and in children with BM compared to the healthy controls. The gene expression profiles did not significantly depend on the clinical outcome, but there was a strong influence of the specific type of pathogen underlying BM. Conclusion: This study demonstrates that there is a very strong activation of immune response at the transcriptional level during BM and that the type of pathogen influences this transcriptional activation. Frontiers Media S.A. 2013-03-18 /pmc/articles/PMC3600829/ /pubmed/23515576 http://dx.doi.org/10.3389/fnins.2013.00033 Text en Copyright © 2013 Lill, Kõks, Soomets, Schalkwyk, Fernandes, Lutsar and Taba. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Genetics
Lill, Margit
Kõks, Sulev
Soomets, Ursel
Schalkwyk, Leonard C.
Fernandes, Cathy
Lutsar, Irja
Taba, Pille
Peripheral blood RNA gene expression profiling in patients with bacterial meningitis
title Peripheral blood RNA gene expression profiling in patients with bacterial meningitis
title_full Peripheral blood RNA gene expression profiling in patients with bacterial meningitis
title_fullStr Peripheral blood RNA gene expression profiling in patients with bacterial meningitis
title_full_unstemmed Peripheral blood RNA gene expression profiling in patients with bacterial meningitis
title_short Peripheral blood RNA gene expression profiling in patients with bacterial meningitis
title_sort peripheral blood rna gene expression profiling in patients with bacterial meningitis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600829/
https://www.ncbi.nlm.nih.gov/pubmed/23515576
http://dx.doi.org/10.3389/fnins.2013.00033
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