Journal Article
Research Support, Non-U.S. Gov't
Add like
Add dislike
Add to saved papers

Pretreatment predictive factors for hepatitis C therapy outcome: relevance of anti-E1E2 antibodies compared to IP-10 and IL28B genotypes.

BACKGROUND: Unique serum anti-E1E2 antibodies were shown to be associated with spontaneous recovery or predictive of sustained virological response (SVR) in patients with chronic hepatitis C receiving pegylated interferon/ribavirin (PEG-IFN/RBV) therapy. The objectives were to establish the relationship between pretreatment anti-E1E2 titres and HCV RNA kinetics during PEG-IFN/RBV therapy, and to examine whether the combined determination of interleukin (IL)28B rs12979860 and rs8099917, pretreatment inducible protein (IP)-10 levels and/or anti-E1E2 improved the prediction of SVR.

METHODS: Sera from 26 treatment-naive consecutive HCV patients treated with PEG-IFN/RBV for 48 weeks were analysed. Serum anti-E1E2 titres and pretreatment IP-10 levels were measured by enzyme-linked immunosorbent assays. The IL28B variants were determined using genotyping real-time polymerase chain reaction method. Viral decline was measured at weeks (W) 4 and 12 and SVR assessed 6 months after the end of therapy.

RESULTS: Baseline anti-E1E2 titres were correlated with HCV RNA decline at W4 and W12 and were highly predictive of SVR with 100% of patients negative for anti-E1E2 failing to achieve SVR. Receiver operating characteristic curve analyses indicate that the best prediction of SVR (AUC 0.990) was obtained with the combination of anti-E1E2 and IP-10 levels. Predictive values were better than those obtained with IP-10 alone or in combination with IL28B variants.

CONCLUSIONS: Pretreatment serum anti-E1E2 response predicts HCV RNA clearance kinetics and treatment outcome. The combination of anti-E1E2 and IP-10 significantly improved the prediction of treatment response. This warrants further investigation and validation on larger cohorts of patients in the context of new therapeutic strategies.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app