It has been reported that hepatitis C virus (HCV) may infect and replicate in human T cells, particularly in perihepatic lymph nodes, but the extent and consequence of T-cell infection in patients is unclear. This study is conducted to characterize the parameters and functional consequences of HCV infection in T lymphocytes. By using a lymphotropic HCV strain, we showed that HCV could infect T cell lines (Molt-4 and Jurkat cells) in vitro. Both positive- and negative-strand HCV RNA were detected for several weeks after infection. Viral proteins could also be detected by immunofluorescence studies. Moreover, infectious HCV particles were produced from Molt-4 cell cultures, and could be used to infect naïve T cell lines. HCV could also infect human primary CD4+ T cells, particularly naïve (CD45RA+CD45RO-) CD4+ cells, in culture. The amounts of STAT-1 and phosphorylated STAT-1 proteins in the infected Molt-4 cells were significantly less than those in uninfected cultures, suggesting the possibility of defect in interferon-gamma signaling. Indeed, T-bet and STAT-1 mRNA levels after interferon-gamma stimulation in infected Molt-4 were suppressed. In conclusion, HCV could infect and transiently replicate in T cells and that HCV replication suppressed the IFN-gamma/STAT-1/T-bet signaling due to the reduction of STAT-1 and inhibition of its activation (phosphorylation).
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http://dx.doi.org/10.1016/j.virol.2006.11.009 | DOI Listing |
J Viral Hepat
February 2025
Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.
The World Health Organisation (WHO) has set goals to eliminate hepatitis C (HCV) as a global health threat by 2030. To meet this goal, Australia must increase testing and diagnosis, including expanding access to care through community pharmacists. This study aims to explore community pharmacists' preparedness to discuss and offer HCV testing and treatment.
View Article and Find Full Text PDFFront Epidemiol
January 2025
Department of Statistics, College of Natural and Computational Science, Hawassa University, Hawassa, Ethiopia.
Background: There is limited evidence on prevalence and risk factors for hepatitis C virus (HCV) infection among waste handlers in Sidama region, Ethiopia; however, this knowledge is necessary for effective prevention of HCV infection in the region.
Methods: A cross-sectional study was conducted among randomly selected waste collectors from October 2021 to 30 July 2022 in different public hospitals of Sidama region of Ethiopia. Serum samples were collected from participants and screened for anti-HCV using rapid immunochromatography assay.
Ann Med
December 2025
Department of Hepatobiliary and Pancreatic Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, China.
Background: Numerous meta-analyses have identified various risk factors for hepatocellular carcinoma (HCC), prompting a comprehensive study to synthesize evidence quality and strength.
Methods: This umbrella review of meta-analyses was conducted throughout PubMed, EMBASE, Web of Science, and Cochrane Database of Systematic Reviews. Evidence strength was evaluated according to the evidence categories criteria.
Virol J
January 2025
Laboratório de Desenvolvimento Tecnológico em Virologia, Instituto Oswaldo cruz, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil.
Background: Nonenveloped viruses, such as hepatitis A virus (HAV) and parvovirus B19 (B19V), are not inactivated by detergents and solvents commonly used to manufacture plasma derivatives. Cases of transfusion-transmitted HAV and B19V have already been described in several countries. This study aimed to determine the incidence of HAV and B19V asymptomatic infections in blood donors from Rio de Janeiro and evaluate the residual risk of transmission to blood derivative recipients.
View Article and Find Full Text PDFGastroenterol Hepatol
January 2025
Pharmacoeconomics & Outcomes Research Iberia (PORIB), Madrid, España. Electronic address:
Introduction: Artificial intelligence (AI) allows the optimization of diagnostic processes for hepatitis C virus (HCV) patients. Our objective was to evaluate the clinical, economic, and management benefits of an AI-based clinical decision support system (Intelligen-C strategy).
Methods: The Intelligen-C strategy consisted of (1) a retrospective phase (Dec 2013-Sep 2021), in which medical records were reviewed to search for anti-HCV-positive and/or HCV-RNA-positive patients lost in the system, and (2) a prospective phase (Feb 2022-Jan 2023), in which automated screening (40-70 years) and routine testing for risk factors were performed in patients who were admitted to the emergency department or were hospitalized.
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