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Variation of 46 Innate Immune Genes Evaluated for their Contribution in Pneumococcal Meningitis Susceptibility and Outcome

Pneumococcal meningitis is the most common and severe form of bacterial meningitis. Early recognition of the pathogen and subsequent innate immune response play a vital role in disease susceptibility and outcome. Genetic variations in innate immune genes can alter the immune response and influence s...

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Autores principales: Ferwerda, Bart, Valls Serón, Mercedes, Jongejan, Aldo, Zwinderman, Aeilko H., Geldhoff, Madelijn, van der Ende, Arie, Baas, Frank, Brouwer, Matthijs C., van de Beek, Diederik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006661/
https://www.ncbi.nlm.nih.gov/pubmed/27432718
http://dx.doi.org/10.1016/j.ebiom.2016.07.011
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author Ferwerda, Bart
Valls Serón, Mercedes
Jongejan, Aldo
Zwinderman, Aeilko H.
Geldhoff, Madelijn
van der Ende, Arie
Baas, Frank
Brouwer, Matthijs C.
van de Beek, Diederik
author_facet Ferwerda, Bart
Valls Serón, Mercedes
Jongejan, Aldo
Zwinderman, Aeilko H.
Geldhoff, Madelijn
van der Ende, Arie
Baas, Frank
Brouwer, Matthijs C.
van de Beek, Diederik
author_sort Ferwerda, Bart
collection PubMed
description Pneumococcal meningitis is the most common and severe form of bacterial meningitis. Early recognition of the pathogen and subsequent innate immune response play a vital role in disease susceptibility and outcome. Genetic variations in innate immune genes can alter the immune response and influence susceptibility and outcome of meningitis disease. Here we conducted a sequencing study of coding regions from 46 innate immune genes in 435 pneumococcal meningitis patients and 416 controls, to determine the role of genetic variation on pneumococcal meningitis susceptibility and disease outcome. Strongest signals for susceptibility were rs56078309 CXCL1 (p = 4.8e − 04) and rs2008521 in CARD8 (p = 6.1e − 04). For meningitis outcome the rs2067085 in NOD2 (p = 5.1e − 04) and rs4251552 of IRAK4 were the strongest associations with unfavorable outcome (p = 6.7e − 04). Haplotype analysis showed a haplotype block, determined by IRAK4 rs4251552, significantly associated with unfavorable outcome (p = 0.004). Cytokine measurements from cerebrospinal fluid showed that with the IRAK4 rs4251552 G risk allele had higher levels of IL-6 compared to individuals with A/A genotype (p = 0.04). We show that genetic variation within exons and flanking regions of 46 innate immunity genes does not yield significant association with pneumococcal meningitis. The strongest identified signal IRAK4 does imply a potential role of genetic variation in pneumococcal meningitis.
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spelling pubmed-50066612016-09-09 Variation of 46 Innate Immune Genes Evaluated for their Contribution in Pneumococcal Meningitis Susceptibility and Outcome Ferwerda, Bart Valls Serón, Mercedes Jongejan, Aldo Zwinderman, Aeilko H. Geldhoff, Madelijn van der Ende, Arie Baas, Frank Brouwer, Matthijs C. van de Beek, Diederik EBioMedicine Research Paper Pneumococcal meningitis is the most common and severe form of bacterial meningitis. Early recognition of the pathogen and subsequent innate immune response play a vital role in disease susceptibility and outcome. Genetic variations in innate immune genes can alter the immune response and influence susceptibility and outcome of meningitis disease. Here we conducted a sequencing study of coding regions from 46 innate immune genes in 435 pneumococcal meningitis patients and 416 controls, to determine the role of genetic variation on pneumococcal meningitis susceptibility and disease outcome. Strongest signals for susceptibility were rs56078309 CXCL1 (p = 4.8e − 04) and rs2008521 in CARD8 (p = 6.1e − 04). For meningitis outcome the rs2067085 in NOD2 (p = 5.1e − 04) and rs4251552 of IRAK4 were the strongest associations with unfavorable outcome (p = 6.7e − 04). Haplotype analysis showed a haplotype block, determined by IRAK4 rs4251552, significantly associated with unfavorable outcome (p = 0.004). Cytokine measurements from cerebrospinal fluid showed that with the IRAK4 rs4251552 G risk allele had higher levels of IL-6 compared to individuals with A/A genotype (p = 0.04). We show that genetic variation within exons and flanking regions of 46 innate immunity genes does not yield significant association with pneumococcal meningitis. The strongest identified signal IRAK4 does imply a potential role of genetic variation in pneumococcal meningitis. Elsevier 2016-07-12 /pmc/articles/PMC5006661/ /pubmed/27432718 http://dx.doi.org/10.1016/j.ebiom.2016.07.011 Text en © 2016 The Ohio State University Wexner Medical Center http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Paper
Ferwerda, Bart
Valls Serón, Mercedes
Jongejan, Aldo
Zwinderman, Aeilko H.
Geldhoff, Madelijn
van der Ende, Arie
Baas, Frank
Brouwer, Matthijs C.
van de Beek, Diederik
Variation of 46 Innate Immune Genes Evaluated for their Contribution in Pneumococcal Meningitis Susceptibility and Outcome
title Variation of 46 Innate Immune Genes Evaluated for their Contribution in Pneumococcal Meningitis Susceptibility and Outcome
title_full Variation of 46 Innate Immune Genes Evaluated for their Contribution in Pneumococcal Meningitis Susceptibility and Outcome
title_fullStr Variation of 46 Innate Immune Genes Evaluated for their Contribution in Pneumococcal Meningitis Susceptibility and Outcome
title_full_unstemmed Variation of 46 Innate Immune Genes Evaluated for their Contribution in Pneumococcal Meningitis Susceptibility and Outcome
title_short Variation of 46 Innate Immune Genes Evaluated for their Contribution in Pneumococcal Meningitis Susceptibility and Outcome
title_sort variation of 46 innate immune genes evaluated for their contribution in pneumococcal meningitis susceptibility and outcome
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006661/
https://www.ncbi.nlm.nih.gov/pubmed/27432718
http://dx.doi.org/10.1016/j.ebiom.2016.07.011
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