P.04.13 THE KEY ROLE OF IMMUNE SYSTEM, AGE AND SEX IN THE RESPONSE TO HEPATITIS C ANTIVIRAL TREATMENT

2012 ◽  
Vol 44 ◽  
pp. S109
Author(s):  
F.R. Ponziani ◽  
B.E. Annicchiarico ◽  
E. Di Giambenedetto ◽  
M. Siciliano ◽  
M. Pompili ◽  
...  
Keyword(s):  
Immune System ◽  
Hepatitis C ◽  
Antiviral Treatment ◽  
Age And Sex

scholarly journals Genotype Dependence of Hepatitis C Virus Load Measurement in Commercially Available Quantitative Assays

1999 ◽  
Vol 37 (8) ◽  
pp. 2525-2532 ◽  
Author(s):  
Janet Mellor ◽  
Anna Hawkins ◽  
Peter Simmonds
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Narrow Range ◽  
Antiviral Treatment ◽  
Hcv Rna ◽  
Clinical Specimens ◽  
Rna Transcripts ◽  
Relative Quantitation ◽  
Version 2.0

Standardization and genotype independence of methods used to quantify hepatitis C virus (HCV) RNA in clinical specimens are necessary for accurate assessment of the role of HCV quantitation as a prognostic marker for HCV infection and monitoring of the response to antiviral treatment. Commercially available methods used to measure HCV loads include PCR-based (Roche Monitor) and hybridization-based (Quantiplex bDNA-2) methods. Recently, a new version of the Roche Monitor assay (version 2.0) has become available; it has been modified to achieve more equal quantitation of different HCV genotypes. Consistent with previous reports, Roche Monitor version 1.0 substantially underestimated concentrations of RNA transcripts of types 2b, 3a, 4a, 5a, and 6a and virus loads in individuals infected with genotypes 2 to 6 relative to reference tests. However, version 2.0 achieved equivalent quantitation of each genotype over a narrow quantitative range (103 to 5 × 105 copies of RNA/ml) but significantly underestimated RNA concentrations above this range. The assay showed an equivalent inability to quantify high levels of HCV RNA in plasma samples, and this was responsible for the falsely narrow range of virus loads detected in HCV-infected individuals. In contrast, the Chiron bDNA-2 assay could only measure RNA concentrations in the upper quantitative range (2 × 105 to 5 × 107 copies of RNA/ml) but showed equivalent sensitivity for genotypes 1 to 5; however, concentrations of type 6a RNA transcripts and virus loads in clinical specimens from individuals infected with type 6a were underestimated by a factor of 2 to 4. Differences were observed between PCR- and hybridization-based assays in their relative quantitation of HCV RNA transcripts and HCV genomic RNA, which may cause problems with the use of transcripts for interassay calibration.

Role of Anti-Hepatitis C Virus (HCV) Treatment in HCV-Related, Low-Grade, B-Cell, Non-Hodgkin's Lymphoma: A Multicenter Italian Experience

2005 ◽  
Vol 23 (3) ◽  
pp. 468-473 ◽  
Author(s):  
Daniele Vallisa ◽  
Patrizia Bernuzzi ◽  
Luca Arcaini ◽  
Stefano Sacchi ◽  
Vittorio Callea ◽  
...  
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
B Cell ◽  
Antiviral Treatment ◽  
Complete Response ◽  
Hcv Infection ◽  
Low Grade ◽  
Hcv Treatment ◽  
Hematologic Response

Purpose Hepatitis C virus (HCV) is endemic in some areas of Northwestern Europe and the United States. HCV has been shown to play a role in the development of both hepatocellular carcinoma and B-cell non-Hodgkin's lymphoma (B-NHL). The biologic mechanisms underlying the lymphomagenic activity of the virus so far are under investigation. In this study, the role of antiviral (anti-HCV) treatment in B-NHL associated with HCV infection is evaluated. Patients and Methods Thirteen patients with histologically proven low-grade B-NHL characterized by an indolent course (ie, doubling time no less than 1 year, no bulky disease) and carrying HCV infection were enrolled on the study. All patients underwent antiviral treatment alone with pegilated interferon and ribavirin. Response assessment took place at 6 and 12 months. Results Of the twelve assessable patients, seven (58%) achieved complete response and two (16%) partial hematologic response at 14.1 ± 9.7 months (range, 2 to 24 months, median follow-up, 14 months), while two had stable disease with only one patient experiencing progression of disease. Hematologic responses (complete and partial, 75%) were highly significantly associated to clearance or decrease in serum HCV viral load following treatment (P = .005). Virologic response was more likely to be seen in HCV genotype 2 (P = .035), while hematologic response did not correlate with the viral genotype. Treatment-related toxicity did not cause discontinuation of therapy in all but two patients, one of whom, however, achieved complete response. Conclusion This experience strongly provides a role for antiviral treatment in patients affected by HCV-related, low-grade, B-cell NHL.

Some stability results for a model of Hepatitis C including alanine aminotransferase and immune system

2020 ◽  
pp. 2050080
Author(s):  
Salvo Danilo Lombardo ◽  
Sebastiano Lombardo
Keyword(s):  
Immune System ◽  
Hepatitis C ◽  
Alanine Aminotransferase ◽  
Equilibrium Points ◽  
Asymptotical Stability ◽  
Direct Acting Antivirals ◽  
The Stability ◽  
Direct Acting ◽  
Stability Results

In clinical practice, many cirrhosis scores based on alanine aminotransferase (ALT) levels exist. Although the most recent direct acting antivirals (DAAs) reduce fibrosis and ALT levels, the Hepatitis C virus (HCV) is not always removed. In this paper, we study a mathematical model of the HCV virus, which takes into account the role of the immune system, to investigate the ALT behavior during therapy. We find five equilibrium points and analyze their stability. A sufficient condition for global asymptotical stability of the infection-free equilibrium is obtained and local asymptotical stability conditions are given for the immune-free infection and cytotoxic T lymphocytes (CTL) response equilibria. The stability of the infection equilibrium with the full immune response is numerically performed.

729 ROLE OF BMI, AGE AND SEX FOR DISEASE SEVERITY IN ACUTE HEPATITIS C: ANALYSIS OF 254 PATIENTS FROM THE GERMAN HEP-NET ACUTE HCV COHORT

2008 ◽  
Vol 48 ◽  
pp. S272
Author(s):  
K. Deterding ◽  
J. Wiegand ◽  
N. Gruener ◽  
D. Becker ◽  
M. Cornberg ◽  
...  
Keyword(s):  
Hepatitis C ◽  
Acute Hepatitis ◽  
Disease Severity ◽  
Acute Hepatitis C ◽  
Acute Hcv ◽  
Age And Sex

scholarly journals Formal modeling of the key determinants of Hepatitis C Virus (HCV) induced adaptive immune response network: An integrative approach to map the cellular and cytokine-mediated host immune regulations

2018 ◽  
Author(s):  
Ayesha Obaid ◽  
Anam Naz ◽  
Shifa Tariq Ashraf ◽  
Faryal Mehwish Awan ◽  
Aqsa Ikram ◽  
...  
Keyword(s):  
Immune Response ◽  
Hepatitis C Virus ◽  
Immune System ◽  
Hepatitis C ◽  
Biological Data ◽  
Signaling Networks ◽  
Host Immune System ◽  
Adaptive Immune ◽  
Ifn Γ

Background. Hepatitis C Virus (HCV) is a major causative agent of liver infection leading to critical liver damage. In response to HCV, the improper regulation of host immune system leads to chronic infection. The host immune system employs multiple cell types, diverse variety of cytokine mediators and interacting signaling networks to neutralize the HCV infection. To understand the complexity of the interactions within the immune signaling networks, systems biology provides an efficient alternative approach. Integrating such approaches with immunology and virology helps to study highly complex immune regulatory networks within the host and presents a concise view of the whole system. Methods. Initially, a logic-based diagram is generated based on multiple reported interactions between immune cells and cytokines during host immune response to HCV. Furthermore, an abstracted sub-network is modeled qualitatively which consists of both the key cellular and cytokine components of the HCV induced immune system. Rene’ Thomas formalism is applied in the study to generate a qualitative model which requires only the qualitative thresholds and associated logical parameters generated via SMBioNet software in accordance with biological observations. Furthermore, the continuous dynamics of the model have been studied via Petri nets based analysis. Results. In the presence of NS5A protein of HCV, the behaviors of the Natural Killer (NK) and T regulatory (Tregs) cells along with cytokines such as IFN-γ, IL-10, IL-12 are predicted. The model also attempts to consider the viral strategies to circumvent immune response mediated by viral proteins. The state graph analysis enabled the prediction of paths leading to disease state. The most probable cycle is predicted based on maximum betweenness centrality. Furthermore, to study the continuous dynamics of the modeled network, a Petri net (PN) model was generated. The predictive ability of the model implicates the critical role of IL-12 over-expression in pathogenesis. This observation speculates that IL-12 has a dual role under varying circumstances and leads to varying disease outcomes. Conclusion. This model attempts to reduce the noisy biological data and captures a holistic view of the regulations amongst the key determinants of HCV induced adaptive immune responses. The observations warrant for further studies to elucidate the role of IL-12 under varying external and internal stimuli. Also, introducing diversion by therapeutic perturbation may divert the system from diseased paths to recovery by stabilizing the activation of IFN-γ producing NK cells. The modeling approach employed in this study can be extended to include real-time experimental data to propose new therapeutic interventions.

Sign in / Sign up

Export Citation Format

Share Document