Possible relationship between IL28B rs12979860 and TLR2 -196 to -174 del/ins polymorphisms and the liver fibrosis stage in hepatitis C patients

Autor: Zehra Öksüz, Gülhan Orekici Temel, Mehmet Sami Serin, Orhan Sezgin, Enver Üçbilek, Serkan Yaraş
Rok vydání: 2021
Předmět:
Zdroj: Archives of Virology. 167:153-161
ISSN: 1432-8798
0304-8608
DOI: 10.1007/s00705-021-05302-9
Popis: It has been shown that host factors play an important role in the progression of hepatitis C virus (HCV) infection. Toll-like receptor 2 (TLR2) del and interleukin 28B (IL28B) T alleles can mediate liver inflammation and pathogenesis of hepatocellular carcinoma. In the present study, the possible relationship between the IL28B rs12979860 C/T and TLR2 -196 to -174 del/ins gene variants and different fibrosis stages and host factors in hepatitis C patients was investigated. IL28B and TLR2 polymorphisms in the blood of 50 hepatitis C patients at different stages of fibrosis (24 mild/moderate, 26 advanced) and 24 healthy controls were examined by RT-qPCR. The highest frequency of the TLR2 del (26.9%) and IL28B T (46.2%) alleles was found in hepatitis C patients with the most advanced fibrosis, and the lowest frequency was found in healthy controls. There was a statistically significant difference between hepatitis C patients with advanced fibrosis and healthy controls in terms of the TLR2 del (p = 0.0062) and IL28B T (p = 0.0017) allele frequencies. However, no statistically significant difference was found between the mild/moderate fibrosis and severe fibrosis patient groups in terms of genotype or IL28B and TLR2 polymorphisms (p > 0.05). In addition, there was a significant difference between patients with mild/moderate or advanced fibrosis who carried the TLR2 del allele together with the IL28B CT genotype and healthy controls. The present study emphasizes that the TLR2 and IL28B gene variants cannot be single biomarkers for the determination of fibrosis stage in hepatitis C infection but together can play an important role in predicting severe disease.
Databáze: OpenAIRE
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