Targeting cholesterol metabolism as efficient antiviral strategy against the Hepatitis E virus
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ABSTRACT:
PROVIDER: PRJNA662916 | ENA |
REPOSITORIES: ENA
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Project description:We used whole genome expression profiling to analyze the effects of Hepatitis E Virus (HEV) on the mRNA transcriptome of A549/D3 cells - particularly to identify differentially expressed genes which are associated with cholesterol metabolism.
2021-02-12 | GSE157820 | GEO
Project description: Not available
| S-EPMC8099564 | biostudies-literature
Project description:CD81 is a protein found in the cells of all vertebrates, including humans. CD81 performs an important role in the natural biology of a cell: it organises collections of proteins at the cell surface, allowing them to function together. Through this role, CD81 facilitates the activation of immune cells and the fusion of sperm and egg cells during fertilisation. As well these normal functions, CD81 is a receptor for hepatitis C virus, and malaria, to gain entry to liver cells. It was recently suggested that CD81 may be able to sense cholesterol at the cell surface, resulting in a switch-like movement in CD81, however, it is unknown whether this feature affects CD81 function. In this study, we generated variants of CD81 with disruptions in cholesterol sensing, and its associated switching mechanism. Our experiments suggest that HCV entry is dependent on the cholesterol-bound form of CD81, in which the switch is in a closed position. Our study provides evidence that cholesterol sensing is important for CD81 function; this work paves the way for future investigations into the role of CD81 in both health and disease.
2020-12-02 | PXD019260 | Pride
Project description:Chronic hepatitis B (CHB) is a global health care challenge and a major cause of liver disease. Existing therapies do not result in a functional cure in most individuals, necessitating new antiviral strategies against Hepatitis B virus (HBV). To identify additional therapeutic avenues, we performed a focused screen of epigenetic modifiers to identify inhibitors of HBV replication. From this work we identified small molecule inhibitors of the histone lysine demethylase 5 (KDM5) with antiviral activity against HBV. To enhance the cellular permeability and liver accumulation of the most potent KDM5 inhibitor identified (GS-080) a prodrug was developed (GS-5801) that resulted in improved bioavailability and liver exposure as well as increased accumulation of the H3K4me3:H3 ratio on chromatin. GS-5801 treatment of HBV-infected primary human hepatocytes inhibited HBV replication and antigen levels. Evaluation of GS 5801 antiviral activity in a humanized mouse model of HBV infection, however, did not result in antiviral efficacy, despite achieving pharmacodynamic levels of H3K4me3:H3 predicted to be efficacious. Together these data highlight discordance between the antiviral effects of GS 5801 observed in HBV-infected primary human hepatocytes.
2021-02-24 | GSE165727 | GEO
Project description:The objective of this study is to identify immunological mechanisms that contribute to normalization of liver inflammation in chronic hepatitis B (CHB) patients starting the antiviral nucleoside analogue, Tenofovir alafenamide (TAF).
2022-12-01 | GSE216314 | GEO
Project description:Hepatitis C virus (HCV) infection can result in viral chronicity or clearance. Although host genetics and particularly genetic variation in the interferon lambda (IFNL) locus are associated with spontaneous HCV clearance and treatment success, the mechanisms guiding these clinical outcomes remain unknown. Using a laser capture microdissection-driven unbiased systems virology approach, we isolated and transcriptionally profiled HCV-infected and adjacent primary human hepatocytes (PHH) approaching single cell resolution. An innate antiviral immune signature dominated the transcriptional response, but differed in magnitude and diversity between HCV-infected and adjacent cells. Molecular signatures associated with more effective antiviral control were determined by comparing donors with high and low infection frequencies. Cells from donors with clinically unfavorable IFNL genotypes were infected at a greater frequency and exhibited dampened antiviral and cell death responses. These data suggest that early virus-host interactions, particularly host genetics and induction of innate immunity, critically determine the outcome of HCV infection. Cell populations of primary human hepatocytes were collected via laser capture microdissection, their transcriptomes were amplified and analyzed via whole Illumina genome microarray. Three populations were collected: virus infected cells, cells adjacent to infected cells (“adjacent”) and mock infected cells. Cells from multiple donors were employed to address host genetic variability on our observed phenotypes. Nine different donors were assessed on 1-day post infection and three donors were assessed 3 days post infection and and four donors were assessed on 7 days post infection. For each cell population (virus infected, adjacent or mock), four biological replicate arrays were performed. In total, we analyzed 186 microarrays
2014-02-12 | E-GEOD-54648 | biostudies-arrayexpress
Project description:Hepatitis C virus (HCV) infection can result in viral chronicity or clearance. Although host genetics and particularly genetic variation in the interferon lambda (IFNL) locus are associated with spontaneous HCV clearance and treatment success, the mechanisms guiding these clinical outcomes remain unknown. Using a laser capture microdissection-driven unbiased systems virology approach, we isolated and transcriptionally profiled HCV-infected and adjacent primary human hepatocytes (PHH) approaching single cell resolution. An innate antiviral immune signature dominated the transcriptional response, but differed in magnitude and diversity between HCV-infected and adjacent cells. Molecular signatures associated with more effective antiviral control were determined by comparing donors with high and low infection frequencies. Cells from donors with clinically unfavorable IFNL genotypes were infected at a greater frequency and exhibited dampened antiviral and cell death responses. These data suggest that early virus-host interactions, particularly host genetics and induction of innate immunity, critically determine the outcome of HCV infection.
2014-02-12 | GSE54648 | GEO
Project description:Antiviral innate immunity of hepatitis C virus-infected stem cell-derived hepatocytes
| PRJNA548529 | ENA
Project description:Modeling the dynamics of hepatitis C virus with combined antiviral drug therapy: interferon and ribavirin.
Banerjee S1, Keval R, Gakkhar S.
Author information
1
Department of Mathematics, Indian Institute of Technology Roorkee (IITR), Roorkee 247667, Uttaranchal, India. Electronic address: sandofma@iitr.ernet.in.
Abstract
A mathematical modeling of hepatitis C virus (HCV) dynamics and antiviral therapy has been presented in this paper. The proposed model, which involves four coupled ordinary differential equations, describes the interaction of target cells (hepatocytes), infected cells, infectious virions and non-infectious virions. The model takes into consideration the addition of ribavirin to interferon therapy and explains the dynamics regarding a biphasic and triphasic decline of viral load in the model. A critical drug efficacy parameter has been defined and it is shown that for an efficacy above this critical value, HCV is eradicated whereas for efficacy lower this critical value, a new steady state for infectious virions is reached, which is lower than the previous steady state value.
Copyright © 2013 Elsevier Inc. All rights reserved.
KEYWORDS:
Hepatitis C virus (HCV); Infected cells; Infectious virions; Interferon; Noninfectious virions; Ribavirin; Target cells
2024-09-02 | BIOMD0000000892 | BioModels
Project description:Modeling the dynamics of hepatitis C virus with combined antiviral drug therapy: interferon and ribavirin.
Banerjee S1, Keval R, Gakkhar S.
Author information
1
Department of Mathematics, Indian Institute of Technology Roorkee (IITR), Roorkee 247667, Uttaranchal, India. Electronic address: sandofma@iitr.ernet.in.
Abstract
A mathematical modeling of hepatitis C virus (HCV) dynamics and antiviral therapy has been presented in this paper. The proposed model, which involves four coupled ordinary differential equations, describes the interaction of target cells (hepatocytes), infected cells, infectious virions and non-infectious virions. The model takes into consideration the addition of ribavirin to interferon therapy and explains the dynamics regarding a biphasic and triphasic decline of viral load in the model. A critical drug efficacy parameter has been defined and it is shown that for an efficacy above this critical value, HCV is eradicated whereas for efficacy lower this critical value, a new steady state for infectious virions is reached, which is lower than the previous steady state value.
Copyright © 2013 Elsevier Inc. All rights reserved.
KEYWORDS:
Hepatitis C virus (HCV); Infected cells; Infectious virions; Interferon; Noninfectious virions; Ribavirin; Target cells
2020-01-09 | MODEL1912120002 | BioModels