Anti-HCV therapies in chimeric scid-Alb/uPA mice parallel outcomes in human clinical application

Norman M Kneteman1, Amy J Weiner, John O'Connell

  • 1Department of Surgery, University of Alberta, Edmonton, Canada. nkneteman@cha.ab.ca

Insights

This study introduces a chimeric mouse model for testing hepatitis C virus (HCV) drugs. The model effectively predicted human responses to antiviral treatments, aiding in selecting effective HCV compounds for clinical trials.

Area of Science:

  • Hepatology and Virology
  • Drug Discovery and Development
  • Preclinical Animal Models

Background:

  • Many hepatitis C virus (HCV) drug candidates lack in vivo efficacy data, hindering clinical trial success prediction.
  • Limited preclinical data can lead to exposing human subjects to ineffective treatments and potential side effects.
  • A need exists for reliable animal models to assess HCV drug efficacy before human trials.

Purpose of the Study:

  • To evaluate the utility of a scid-Alb-uPA chimeric mouse model for assessing in vivo efficacy of anti-HCV compounds.
  • To compare the antiviral effects of interferon alpha-2b (IFN-alpha), BILN-2061 (protease inhibitor), and HCV371 (polymerase inhibitor) in HCV-infected chimeric mice.
  • To determine if the chimeric mouse model can predict clinical responses to HCV antivirals.

Main Methods:

  • Human hepatocytes were transplanted into scid-Alb-uPA mice, which were subsequently infected with genotype 1a HCV.
  • Mice received intramuscular interferon alpha-2b (IFN-alpha), BILN-2061, or HCV371 for varying durations.
  • Viral titers were measured, and drug resistance mutations were analyzed by sequencing.

Main Results:

  • IFN-alpha treatment reduced HCV titers in mice, with rebound observed post-treatment; a stronger effect was noted in genotype 3a-infected mice.
  • BILN-2061 demonstrated significant antiviral activity, reducing viral titers by over 2 logs in pilot studies and 1.1 logs in a subsequent 7-day study.
  • HCV371 showed a minimal effect (0.3 log decline), and resistance mutations to BILN-2061 were detected.
  • The model's performance for all tested antivirals paralleled known human responses.

Conclusions:

  • The scid-Alb-uPA chimeric mouse model effectively supports HCV infection and treatment studies.
  • This model demonstrates predictive value for clinical efficacy, mirroring human responses to IFN-alpha and direct-acting antivirals.
  • The system offers a valuable tool for selecting promising HCV drug candidates and studying HCV biology, potentially improving clinical trial success rates.

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