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Updated: Aug 18, 2026

Establishment of the Dual Humanized TK-NOG Mouse Model for HIV-associated Liver Pathogenesis
Published on: September 11, 2019
Antigen-specific immune responses and liver histology in HIV and hepatitis C coinfection
Camilla S Graham1, Annalee Wells, Tun Liu
1Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts 02115, USA. cgraham@bidmc.harvard.edu
Objective:
To test the hypothesis that antigen-specific interferon (IFN)gamma responses are correlated with milder liver disease in subjects coinfected with HIV-1 and hepatitis C virus (HCV).
Design:
Cellular immune responses were studied in a cohort with HIV/HCV coinfection (n = 107) who underwent liver biopsy.
Methods:
We measured HCV-specific and recall responses in peripheral blood mononuclear cells using IFNgamma and interleukin (IL)-10 ELISpots, and correlated these immune responses with liver histology. The relationship of immunologic, virologic and clinical variables to inflammation and fibrosis was modeled using recursive partitioning.
Results:
There were significant negative correlations between inflammatory scores and IFNgamma production in response to the HCV proteins core, NS5 and summed HCV responses. Lower fibrosis scores were also correlated with higher IFNgamma production in response to NS5 and summed HCV proteins. Higher IFNgamma production in response to Candida was significantly associated with lower inflammatory and fibrosis scores. In multivariable models, factors associated with severe fibrosis were lower IFNgamma responses to Candida and summed HCV proteins. Factors associated with severe inflammation were detectable HIV viral load and lower HCV viral load, while predictors of mild inflammation included undetectable HIV viral load and higher IFNgamma response to Candida.
Conclusions:
In this cohort of subjects coinfected with HIV and HCV, antigen-specific IFNgamma responses are correlated with milder inflammation and fibrosis. Immunological responses best predicted severity of fibrosis, while clinical variables and recall antigen responses best predicted severity of inflammation.
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