Zoology Department, Faculty of Science, Menoufia University , Shibin Al Kawm, Egypt.
Hepatology and Gastroenterology Department, National Liver Institute, Menoufia University , Shibin Al Kawm, Egypt.
Immunol Invest. 2021 Jan;50(1):12-22. doi: 10.1080/08820139.2020.1722158. Epub 2020 Feb 5.
: Single nucleotide polymorphisms (SNPs) of the interferon lambda 3 (IFN-λ 3) gene are associated with viral clearance and treatment response in chronic hepatitis C virus (HCV) infection. : to assess whether specific IFN-λ 3 gene SNP, known as rs12979860 (C > T), could predict the outcome of treatment with direct acting antivirals (DAAs) among Egyptian patients with chronic HCV genotype 4 infection. : Tetra-primer (ARMS-PCR) and PCR-RFLP methods were used for SNP genotyping in 100 chronic HCV-infected patients and 50 healthy subjects as control group. : The CC (wild type) genotype of rs12979860 was identified in 20 patients, 50% of them achieved sustained virological response (SVR). SNP genotype TT was found in 17 patients and only 2 of them (11.76%) were responders. The frequency of CT genotypes was significantly higher in responders than in non-responders (= .021). In contrast, the frequency of TT genotypes was significantly higher in non-responders (42.85%, < .001). On univariate and multivariate logistic regression analyses of the significant predictors of SVR, there were six predictive factors (Age, diabetes mellitus, AST, albumin, type of therapy and IFN-λ 3 genotype). : The TT genotype and T allele were significantly associated with failure to achieve SVR. However, CT genotype of IFN-λ 3 (rs12979860) may be considered as a predictor for SVR in patients who received DAAs.
干扰素 lambda 3 (IFN-λ 3) 基因的单核苷酸多态性 (SNPs) 与慢性丙型肝炎病毒 (HCV) 感染的病毒清除和治疗反应有关。本研究旨在评估埃及慢性 HCV 基因型 4 感染患者中,干扰素 lambda 3 基因的特定 SNP(称为 rs12979860 [C > T])是否可以预测直接作用抗病毒药物 (DAA) 治疗的结果。
采用四引物(ARMS-PCR)和 PCR-RFLP 方法对 100 例慢性 HCV 感染患者和 50 例健康对照者进行 SNP 基因分型。rs12979860 的 CC(野生型)基因型在 20 例患者中被鉴定出来,其中 50%的患者达到持续病毒学应答 (SVR)。SNP 基因型 TT 存在于 17 例患者中,只有 2 例(11.76%)为应答者。在应答者中 CT 基因型的频率明显高于非应答者(=.021)。相反,非应答者中 TT 基因型的频率明显更高(42.85%,<.001)。在对 SVR 的显著预测因子进行单变量和多变量逻辑回归分析中,有六个预测因子(年龄、糖尿病、AST、白蛋白、治疗类型和 IFN-λ 3 基因型)。
TT 基因型和 T 等位基因与未能达到 SVR 显著相关。然而,IFN-λ 3 (rs12979860) 的 CT 基因型可能被认为是接受 DAA 治疗的患者获得 SVR 的预测因子。