Analysis of nucleotide-binding oligomerization domain proteins in a murine model of pneumococcal meningitisReport as inadecuate




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BMC Infectious Diseases

, 14:648

Bacterial and fungal diseases

Abstract

BackgroundThe innate immune system recognizes pathogens via its pattern recognition receptors. The objective of this study was to investigate the role of the nucleotide-binding oligomerization domain NOD proteins, a family of the novel bacterial pattern recognition receptors, in host responses to the gram-positive bacteria Streptococcus pneumoniae.

MethodsSprague–Dawley rats were infected via intracisternal injections of viable S. pneumoniae, and rats in the control group were injected with sterile saline. After infection, real-time PCR was performed to determine the presence of mRNAs encoding NOD1 and NOD2. Quantitative analyses of the NOD1, NOD2 and NF-kB proteins were also performed western blotting following challenge infections with viable S. pneumoniae. The TNF-α and IL-6 levels in brain homogenates were evaluated using enzyme-linked immunosorbent assays ELISAs.

ResultsThe results revealed up-regulations of the mRNA and protein levels of NOD2 within the CNS of rats with S. pneumoniae meningitis. Moreover, the activation of NF-κB in the brain tissues following infection with live S. pneumoniae was also significantly increased, which indicates that NOD2 mediated NF-κB activation in experimental pneumococcal meningitis. Similarly, TNF-α and IL-6 levels were increased in the brain following in vivo S. pneumoniae administration.

ConclusionsThese results suggest that NOD2 is involved in the host response to the gram-positive bacteria S. pneumoniae in the CNS and that NOD2 might play an important role in the initiation and-or progression of CNS inflammation associated with pneumococcal meningitis.

KeywordsMeningitis Gram-positive bacteria NOD2 Cytokines Electronic supplementary materialThe online version of this article doi:10.1186-s12879-014-0648-3 contains supplementary material, which is available to authorized users.

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Author: Xinjie Liu - Qizheng Han - Junhong Leng

Source: https://link.springer.com/



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