Association of interferon-γ-induced protein-10 serum levels with virological responses to PEG-interferon-based therapy in hepatitis C virus genotype 1 or 2 chronically infected Chinese patients

Abstract

Objective. Interferon (IFN)-γ-induced protein-10 (IP-10) serum level has been shown be associated with viral response in chronic hepatitis C (CHC) patients. However, little is known in Chinese population. We determined IP-10 serum levels in Chinese CHC patients undergoing PEG-IFN-based therapy. Predictive role of IP-10 level for virological responses was accessed. Material and methods. IP-10 serum levels were determined in 165 hepatitis C virus (HCV) genotype 1 and 33 genotype 2 patients. Multivariate analysis was performed to screen independent factors for sustained virological response (SVR) prediction. Predictive value of IP-10 level in combination with interleukin 28B (IL28B) genotype or rapid virological response was further investigated. Results. Our study showed that pretreatment IP-10 level was significantly higher in HCV genotype 1 patients. IP-10 levels were independently predictive for SVR with cut-off values of 250.60 pg/ml at baseline or 407.40 pg/ml at week 4. Positive predictive value (PPV) for SVR of low IP-10 level at baseline and IL28B CC genotype was 96.15% and negative predictive value (NPV) was 50.00%. PPV for SVR of low IP-10 level at week 4 and rapid viral response (RVR) was 95.24% and NPV was 50.00%. Conclusion. Together our study indicated that higher IP-10 serum levels were associated with HCV genotype 1 CHC Chinese patients. IP-10 levels at baseline and week 4 were both predictive of SVR and improved predictive performances of IL28B genotype and RVR for SVR.

Key Words::

• chronic hepatitis C
• genotype
• interleukin 28B
• IFN-γ-induced protein-10
• virological response

Acknowledgments

This work was supported by grants from the National Science and Technology Major Project for Infectious Diseases Control during the 12th Five-Year Plan (grant no. 2012ZX10002003), National S&T Basic Work Program of China (grant no. 2013FY113900), Beijing Municipal Science and Technology Program (grant no. Z131110001913199), and Project of Beijing City Science and Technology Nova (2011013).

Declaration of interest: The authors declared that they have no conflict of interest in this study.