Hepacivirus C
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REPOSITORIES: ENA
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Project description:Despite advances in antiviral therapy, molecular drivers of Hepatitis C Virus (HCV)-related liver disease remain poorly characterised. Chronic infection with HCV genotypes (1 and 3) differ in presentation of liver steatosis and virological response to therapies, both to interferon and direct acting antivirals. Using whole transcriptome microarrays, we analysed gene expression profiles of liver tissue obtained from individuals infected with either HCV G1 or G3 in progressive and advanced liver disease and identified key altered cellular pathways.
2019-06-01 | E-MTAB-7751 | biostudies-arrayexpress
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
2019-12-13 | 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
Project description:Pipeline for specific subtype amplification and drug resistance detection in hepatitis C virus
| PRJNA439187 | ENA
Project description:<p>Despite the astonishing progress in treating chronic hepatitis C virus (HCV) infection with direct-acting antiviral agents, liver fibrosis remains a major health concern in HCV infected patients, in particular due to the treatment cost and insufficient HCV screening in many countries. Only a fraction of patients with chronic HCV infection develop liver fibrosis. While there is evidence that host genetic factors are involved in the development of liver fibrosis, the common variants identified so far, in particular by genome-wide association studies, were found to have limited effects.</p> <p>Here, we conducted an exome association study in 88 highly selected HCV-infected patients with and without fibrosis. A strategy focusing on TGF-β pathway genes revealed an enrichment in rare variants of the endoglin gene (<i>ENG</i>) in fibrosis patients. Replication studies in additional cohorts (617 patients) identified one specific <i>ENG</i> variant, Thr5Met, with an overall odds ratio for fibrosis development in carriers of 3.04 (1.39-6.69). Our results suggest that endoglin, a key player in TGF-β signaling, is involved in HCV-related liver fibrogenesis.</p>
| phs001902 | dbGaP
Project description:Ribavirin (RBV) is a potential partner of interferon-based therapy and recently approved therapy using direct acting antivirals for patients with chronic hepatitis C, However, the precise mechanisms undelying RBV action against hepatitis C virus (HCV) replication are not yet understood. To clarify this point, we established RBV-resistant cell lines from RBV-sensitive HCV RNA-replicating cell line, OL8(3.5Y), and characterized their features. We used microarrays to compare the gene expression pattern between OL8(3.5Y) cells and three RBV-resistant cells and identified genes commonly altered by more than four-fold among RBV-resistant cells compared with the OL8(3.5Y) cells. Growing cells from RBV-sensitive OL8(3.5Y) and three RBV-resistant cell lines were used for RNA extraction and hybridization on Affymetrix microarrays.
2014-08-30 | E-GEOD-60948 | biostudies-arrayexpress
Project description:Ribavirin (RBV) is a potential partner of interferon-based therapy and recently approved therapy using direct acting antivirals for patients with chronic hepatitis C, However, the precise mechanisms undelying RBV action against hepatitis C virus (HCV) replication are not yet understood. To clarify this point, we established RBV-resistant cell lines from RBV-sensitive HCV RNA-replicating cell line, OL8(3.5Y), and characterized their features. We used microarrays to compare the gene expression pattern between OL8(3.5Y) cells and three RBV-resistant cells and identified genes commonly altered by more than four-fold among RBV-resistant cells compared with the OL8(3.5Y) cells.
2014-08-30 | GSE60948 | GEO