Hepatitis C virus (HCV) infection frequently persists despite substantial virus-specific immune responses and the combination of pegylated interferon (INF)-α and ribavirin therapy. Major histocompatibility complex class I restricted CD8(+) T cells are responsible for the control of viraemia in HCV infection, and several studies suggest protection against viral infection associated with specific HLAs. The reason for low rates of sustained viral response (SVR) in HCV patients remains unknown. Escape mutations in response to cytotoxic T lymphocyte are widely described; however, its influence in the treatment outcome is ill understood. Here, we investigate the differences in CD8 epitopes frequencies from the Los Alamos database between groups of patients that showed distinct response to pegylated α-INF with ribavirin therapy and test evidence of natural selection on the virus in those who failed treatment, using five maximum likelihood evolutionary models from PAML package. The group of sustained virological responders showed three epitopes with frequencies higher than Non-responders group, all had statistical support, and we observed evidence of selection pressure in the last group. No escape mutation was observed. Interestingly, the epitope VLSDFKTWL was 100% conserved in SVR group. These results suggest that the response to treatment can be explained by the increase in immune pressure, induced by interferon therapy, and the presence of those epitopes may represent an important factor in determining the outcome of therapy.
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http://dx.doi.org/10.1111/j.1365-2893.2010.01294.x | 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.
Am J Transplant
January 2025
Scientific Registry of Transplant Recipients, Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA. Electronic address:
This study reports the results of a recalculation of the kidney donor risk index (KDRI) formula requested by the Organ Procurement and Transplantation Network's Minority Affairs Committee to remove donor race and hepatitis C virus (HCV) status variables. The updated KDRI model was fit on adult, deceased donor, solitary kidney, first-time transplants from 2018 through 2021. Deceased donors from 2018 through 2021 were included in a counterfactual analysis to evaluate how the kidney donor profile index (KDPI) would change if race and HCV seropositivity were excluded.
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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