The relationships between IFNL4 genotype, intrahepatic interferon-stimulated gene expression and interferon treatment response differs in HCV-1 compared with HCV-3

BACKGROUND

The biological mechanism underlying the association between IFNL4/IFNL3 polymorphism and peginterferon/ribavirin (PR) response in HCV-1 is thought to involve differential intrahepatic interferon-stimulated gene expression. HCV-3 is more sensitive to PR, but there are no studies of the association between IFNL4 polymorphism, PR treatment response and liver interferon-stimulated gene expression in HCV-3.

AIM

We evaluated the association between IFNL4/IFNL3 genotypes, PR treatment outcomes and intrahepatic interferon-stimulated gene expression, according to HCV genotype.

METHODS

HCV-1 and HCV-3 patients who received PR therapy were identified. IFNL3 (rs12979860) and IFNL4 genotype (rs368234815) were determined. A second cohort with stored liver specimens was identified. Expression of ISGs was measured by rt-PCR.

RESULTS

Two hundred and fifty-nine patients were identified: 55% HCV-1, 45% HCV-3. IFNL4 genotype frequency was TT/TT 44%, TT/ΔG 42% andΔG/ΔG 14%. Linkage disequilibrium with IFNL3 genotype was high (r(2) = 0.98). The association between IFNL4 genotype and PR response was attenuated in HCV-3 vs. HCV-1 (HCV-3: SVR 89% vs. 76% vs. 72% for TT/TT vs. TT/ΔG vs. ΔG/ΔG, P = 0.09; HCV-1: SVR: 82% vs. 29% vs. 24%, P < 0.001). Intrahepatic ISG expression was evaluated in 92 patients; 61% HCV-1. The association between IFNL4 genotype and liver ISG expression was significantly different for HCV-3 vs. HCV-1 (P-value for interaction = 0.046), with levels of interferon-stimulated gene expression being highest in HCV-1 patients who carried a poor-response IFNL4 genotype.

CONCLUSIONS

The relationship between IFNL4 genotype and PR treatment response as well as intrahepatic interferon-stimulated gene expression differs between HCV-1 and HCV-3. These data suggest fundamental differences in host-virus interactions according to HCV genotype.

A novel approach to identify candidate prognostic factors for hepatitis C treatment response integrating clinical and viral genetic data

The combined therapy of pegylated interferon (IFN) plus ribavirin (RBV) has been for a long time the standard treatment for patients infected with hepatitis C virus (HCV). In the case of genotype 1, only 38%–48% of patients have a positive response to the combined treatment. In previous studies, viral genetic information has been occasionally included as a predictor. Here, we consider viral genetic variation in addition to 11 clinical and 19 viral populations and evolutionary parameters to identify candidate baseline prognostic factors that could be involved in the treatment outcome. We obtained potential prognostic models for HCV subtypes la and lb in combination as well as separately. We also found that viral genetic information is relevant for the combined treatment assessment of patients, as the potential prognostic model of joint subtypes includes 9 viral-related variables out of 11. Our proposed methodology fully characterizes viral genetic information and finds a combination of positions that modulate inter-patient variability.