Genetic Polymorphism in Toll-Like Receptor 3 and Interferon Regulatory Factor 3 in Hepatitis C Virus-Infected Patients: Correlation with Liver Cirrhosis.
Roba M TalaatShimaa S ElsayedNehal E Abdel-HakemSoha Z El-ShenawyPublished in: Viral immunology (2022)
Host genetic factors could play a primary role in determining the risk for cirrhosis development in chronic hepatitis C virus (HCV)-infected patients. We designed this work to study the effect of single-nucleotide polymorphism (SNP) in Toll-like receptor 3 ( TLR3 ) and interferon regulatory factor ( IRF ) on the risk of HCV-related cirrhosis. This study enrolled 139 Egyptian HCV-infected patients. They were divided into patients with cirrhotic (56) and noncirrhotic (83) liver. Genotyping of rs3775291 F459F (+1234C/T) and rs3775290 L412F (+1377C/T) in TLR3 and IRF3 rs2304204 (-925A/G) was performed by restriction fragment length polymorphism-polymerase chain reaction. Although there is no significant difference in genotype and allele distribution of +1377C/T of TLR3 gene between cirrhotic and noncirrhotic subjects, CC (odds ratio [OR] = 1.572, 95% confidence interval [CI]: 0.781-3.164); TT (OR = 1.463, 95% CI: 0.351-6.104) genotypes might be considered as risk factors for liver cirrhosis. On the contrary, the analysis revealed that only one genotype (CC) and one allele (C) were detected in +1234C/T SNP, with the total disappearance of CT/TT genotypes and T allele in all subjects. On the contrary, lower frequency has been found for the AG genotype of the IRF3 (-925A/G) gene in cirrhotic patients compared with noncirrhotic ones, indicating that AG is a protective genotype (OR = 0.509, 95% CI: 0.256-1.012). Our data stressed the association of AG genotype SNP in IRF3 (-925A/G) in protection against the worth outcome of HCV infection.
Keyphrases
- toll like receptor
- hepatitis c virus
- genome wide
- inflammatory response
- dendritic cells
- human immunodeficiency virus
- nuclear factor
- immune response
- copy number
- dna methylation
- end stage renal disease
- quantum dots
- chronic kidney disease
- newly diagnosed
- highly efficient
- computed tomography
- ejection fraction
- machine learning
- gene expression
- visible light
- drug induced
- contrast enhanced
- pet ct
- artificial intelligence