ArticleFuture virology2012
Opportunities in proteomics to understand hepatitis C and HIV coinfection.
Article in Future virology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed, 0 citations in OpenAlex.
No citing paper in PubMed yet.
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
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.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.