Literature DB >> 23105947

Opportunities in proteomics to understand hepatitis C and HIV coinfection.

Eric G Meissner1, Anthony F Suffredini, Shyamasundaran Kottilil.   

Abstract

Antiretroviral therapy has significantly reduced morbidity and mortality associated with HIV infection. However, coinfection with HCV results in a more complicated disease course for both infections. HIV infection dramatically impacts the natural history of chronic liver disease due to HCV. Coinfected patients not on antiretroviral therapy for HIV develop liver fibrosis and cirrhosis at a faster rate, clear acute infection less commonly and respond to IFN-α-based therapy for chronic infection less often than HCV-monoinfected patients. The interaction between these two viruses, the immune system and the fibrotic machinery of the liver remains incompletely understood. In this review, we discuss recent advances in proteomics as applied to HCV and HIV and highlight issues in coinfection that are amenable to further discovery through proteomic approaches. We focus on clinical predictors of liver fibrosis and treatment outcome as these have the greatest potential clinical applicability.

Entities:  

Year:  2012        PMID: 23105947      PMCID: PMC3480018          DOI: 10.2217/fvl.12.67

Source DB:  PubMed          Journal:  Future Virol        ISSN: 1746-0794            Impact factor:   1.831


  64 in total

1.  Proteomics. High-speed biologists search for gold in proteins.

Authors:  R F Service
Journal:  Science       Date:  2001-12-07       Impact factor: 47.728

2.  Investigation of plasma biomarkers in HIV-1/HCV mono- and coinfected individuals by multiplex iTRAQ quantitative proteomics.

Authors:  Vivekananda Shetty; Pooja Jain; Zacharie Nickens; Gomathinayagam Sinnathamby; Anand Mehta; Ramila Philip
Journal:  OMICS       Date:  2011-10

Review 3.  HIV/hepatitis C coinfection natural history and disease progression.

Authors:  Maria D Hernandez; Kenneth E Sherman
Journal:  Curr Opin HIV AIDS       Date:  2011-11       Impact factor: 4.283

4.  Comment on "Unbiased statistical analysis for multi-stage proteomic search strategies".

Authors:  Marshall Bern; Yong J Kil
Journal:  J Proteome Res       Date:  2011-02-21       Impact factor: 4.466

Review 5.  Proteomics by mass spectrometry: approaches, advances, and applications.

Authors:  John R Yates; Cristian I Ruse; Aleksey Nakorchevsky
Journal:  Annu Rev Biomed Eng       Date:  2009       Impact factor: 9.590

Review 6.  Proteome and proteomics: new technologies, new concepts, and new words.

Authors:  N L Anderson; N G Anderson
Journal:  Electrophoresis       Date:  1998-08       Impact factor: 3.535

7.  Serum proteome to predict virologic response in patients with hepatitis C treated by pegylated interferon plus ribavirin.

Authors:  Valérie Paradis; Tarik Asselah; Delphine Dargere; Marie-Pierre Ripault; Michèle Martinot; Nathalie Boyer; Dominique Valla; Patrick Marcellin; Pierre Bedossa
Journal:  Gastroenterology       Date:  2006-06       Impact factor: 22.682

8.  Determinants of the quantity of hepatitis C virus RNA.

Authors:  D L Thomas; J Astemborski; D Vlahov; S A Strathdee; S C Ray; K E Nelson; N Galai; K R Nolt; O Laeyendecker; J A Todd
Journal:  J Infect Dis       Date:  2000-03       Impact factor: 5.226

Review 9.  The use of proteomics to study infectious diseases.

Authors:  E O List; D E Berryman; B Bower; L Sackmann-Sala; E Gosney; J Ding; S Okada; J J Kopchick
Journal:  Infect Disord Drug Targets       Date:  2008-03

10.  Dynamic host energetics and cytoskeletal proteomes in human immunodeficiency virus type 1-infected human primary CD4 cells: analysis by multiplexed label-free mass spectrometry.

Authors:  Eric Y Chan; Jennifer N Sutton; Jon M Jacobs; Andrey Bondarenko; Richard D Smith; Michael G Katze
Journal:  J Virol       Date:  2009-07-08       Impact factor: 5.103

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.