rss
Gut 2009;58:846-858 doi:10.1136/gut.2008.166348
  • Recent advances in basic science

Gene expression and hepatitis C virus infection

This article has been UnlockedFree via Creative Commons: OPEN ACCESS
  1. T Asselah1,2,3,
  2. I Bièche4,5,
  3. A Sabbagh4,5,
  4. P Bedossa6,
  5. R Moreau1,2,3,
  6. D Valla1,2,3,
  7. M Vidaud4,5,
  8. P Marcellin1,2,3
  1. 1
    INSERM, U773, Centre de Recherche Bichat-Beaujon CRB3, Paris, France
  2. 2
    Université Denis Diderot-Paris 7, Site Bichat, France
  3. 3
    Service d’hépatologie, Hôpital Beaujon, Clichy, France
  4. 4
    INSERM, U745, Université René Descartes, Paris, France
  5. 5
    Service de Génétique Moléculaire, Hôpital Beaujon, Clichy, France
  6. 6
    Service d’Anatomie-Pathologie, Hôpital Beaujon, Clichy, France
  1. Dr T Asselah, Service d’Hépatologie, Hôpital Beaujon, 100 Bd du Gl Leclerc, 92118 Clichy, France; tarik.asselah{at}bjn.aphp.fr
  • Revised 27 October 2008
  • Accepted 18 November 2008
  • Published Online First 11 December 2008

Abstract

Hepatitis C virus (HCV) is a major cause of chronic liver disease, with about 170 million people infected worldwide. Up to 70% of patients will have persistent infection after inoculation, making this disease a significant cause of morbidity and mortality.

The severity of disease varies widely, from asymptomatic chronic infection to cirrhosis and hepatocellular carcinoma. Since the discovery of HCV, the treatment of hepatitis C has considerably improved. Recently, combination of pegylated interferons with ribavirin gives a response rate of about 55%. Treatment is indicated in patients with moderate or severe fibrosis. The tolerability of combination treatment is relatively poor, with a frequent flu-like syndrome and an impaired quality of life.

In addition to viral and environmental behavioural factors, host genetic diversity is believed to contribute to the spectrum of clinical outcomes in HCV infection. The sequencing of the human genome, together with the development of high-throughput technologies that measure the function of the genome, have afforded unique opportunities to develop profiles that can distinguish, identify and classify discrete subsets of disease, predict the disease outcome or predict the response to treatment. This paper reviews the published literature on gene expression associated with HCV infection (HCV infection, fibrosis progression), and also according to response to treatment.

Footnotes

  • Competing interests: None.

This article has been Unlocked
Free via Creative Commons: OPEN ACCESS

This Article

  1. All Versions of this Article:
    1. gut.2008.166348v1
    2. gut.2008.166348v2
    3. 58/6/846 most recent

Services

  1. Request permissions

Social bookmarking

Latest from Gut Education

Latest from Gut Education

Register for free content


Free sample
This recent issue is free to all users to allow everyone the opportunity to see the full scope and typical content of Gut.
View free sample issue >>

Free archive
The full back archive is now available for Gut. Institutional subscribers may access the entire archive as part of their subscription. Personal subscribers will also have access to all content when logged in. Non-subscribers who register have free access to all articles published before 2006, back to volume 1 issue 1.
Register to access the free archive >>

Don't forget to sign up for content alerts so you keep up to date with all the articles as they are published.