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Published on: November 5, 2019
Genetic polymorphisms associated with the inflammatory response in bacterial meningitis
Fabrícia Lima Fontes1, Luíza Ferreira de Araújo2, Leonam Gomes Coutinho3
1Departamento de Biologia Celular e Genética, Universidade Federal do Rio Grande do Norte, UFRN, Natal, Brazil. fontesfl@hotmail.com.
Background:
Bacterial meningitis (BM) is an infectious disease that results in high mortality and morbidity. Despite efficacious antibiotic therapy, neurological sequelae are often observed in patients after disease. Currently, the main challenge in BM treatment is to develop adjuvant therapies that reduce the occurrence of sequelae. In recent papers published by our group, we described the associations between the single nucleotide polymorphisms (SNPs) AADAT +401C > T, APEX1 Asn148Glu, OGG1 Ser326Cys and PARP1 Val762Ala and BM. In this study, we analyzed the associations between the SNPs TNF -308G > A, TNF -857C > T, IL-8 -251A > T and BM and investigated gene-gene interactions, including the SNPs that we published previously.
Methods:
The study was conducted with 54 BM patients and 110 healthy volunteers (as the control group). The genotypes were investigated via primer-introduced restriction analysis-polymerase chain reaction (PIRA-PCR) or polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP) analysis. Allelic and genotypic frequencies were also associated with cytokine and chemokine levels, as measured with the x-MAP method, and cell counts. We analyzed gene-gene interactions among SNPs using the generalized multifactor dimensionality reduction (GMDR) method.
Results:
We did not find significant association between the SNPs TNF -857C > T and IL-8 -251A > T and the disease. However, a higher frequency of the variant allele TNF -308A was observed in the control group, associated with changes in cytokine levels compared to individuals with wild type genotypes, suggesting a possible protective role. In addition, combined inter-gene interaction analysis indicated a significant association between certain genotypes and BM, mainly involving the alleles APEX1 148Glu, IL8 -251 T and AADAT +401 T. These genotypic combinations were shown to affect cyto/chemokine levels and cell counts in CSF samples from BM patients.
Conclusions:
In conclusion, this study revealed a significant association between genetic variability and altered inflammatory responses, involving important pathways that are activated during BM. This knowledge may be useful for a better understanding of BM pathogenesis and the development of new therapeutic approaches.
Insights
Genetic variations influence bacterial meningitis (BM) risk and inflammatory responses. Certain gene combinations may offer protection, aiding in understanding BM and developing new treatments.
Area of Science:
- Genetics
- Immunology
- Infectious Diseases
Background:
- Bacterial meningitis (BM) presents high mortality and morbidity, with neurological sequelae common despite antibiotic treatment.
- Adjuvant therapies are crucial for reducing sequelae in BM patients.
- Previous studies identified associations between specific single nucleotide polymorphisms (SNPs) and BM.
Purpose of the Study:
- To analyze the association between TNF -308G>A, TNF -857C>T, and IL-8 -251A>T SNPs and bacterial meningitis (BM).
- To investigate gene-gene interactions among previously identified and currently studied SNPs in relation to BM.
Main Methods:
- Genotyping of 54 BM patients and 110 healthy controls using PIRA-PCR or PCR-RFLP.
- Association analysis of allelic/genotypic frequencies with cytokine/chemokine levels (x-MAP) and cell counts.
- Gene-gene interaction analysis using generalized multifactor dimensionality reduction (GMDR).
Main Results:
- No significant association was found for TNF -857C>T and IL-8 -251A>T SNPs with BM.
- The variant allele TNF -308A showed higher frequency in controls, suggesting a potential protective role.
- Combined analysis revealed significant associations between specific genotypes (APEX1 148Glu, IL8 -251T, AADAT +401T) and BM, impacting inflammatory markers.
Conclusions:
- Genetic variability is significantly associated with altered inflammatory responses in BM.
- Understanding these genetic associations can improve insights into BM pathogenesis.
- This knowledge may contribute to developing novel therapeutic strategies for BM.
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