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Infection with the hepatitis C virus (HCV) is one of the causes of liver cancer, which is the world's sixth most prevalent and third most lethal cancer. The current treatments do not prevent reinfection; because they are expensive, their usage is limited to developed nations. Therefore, a prophylactic vaccine is essential to control this virus. Hence, in this study, an immunoinformatics method was applied to design a multi-epitope vaccine against HCV. The best B- and T-cell epitopes from conserved regions of the E2 protein of seven HCV genotypes were joined with the appropriate linkers to design a multi-epitope vaccine. In addition, cholera enterotoxin subunit B (CtxB) was included as an adjuvant in the vaccine construct. This study is the first to present this epitopes-adjuvant combination. The vaccine had acceptable physicochemical characteristics. The vaccine's 3D structure was predicted and validated. The vaccine's binding stability with Toll-like receptor 2 (TLR2) and TLR4 was confirmed using molecular docking and molecular dynamics (MD) simulation. The immune simulation revealed the vaccine's efficacy by increasing the population of B and T cells in response to vaccination. In silico expression in Escherichia coli (E. coli) was also successful., Competing Interests: Declaration of competing interest The authors declare that they have no competing interests., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Cancer, as a complex, heterogeneous disease, is currently affecting millions of people worldwide. Even if the most common traditional treatments, namely, chemotherapy (CTx) and radiotherapy (RTx), have been so far effective in some conditions, there is still a dire need for novel, innovative approaches to treat types of cancer. In this context, oncoviruses are responsible for 12% of all malignancies, such as human papillomavirus (HPV), Merkel cell polyomavirus (MCPyV), Epstein-Barr virus (EBV), human herpesvirus 8 (HHV-8), as well as hepatitis B virus (HBV) and hepatitis C virus (HCV), and the poorest in the world also account for 80% of all human cancer cases. Against this background, nanomedicine has developed nano-based drug delivery systems (DDS) to meet the demand for drug delivery vectors, e.g., extracellular vesicles (EVs). This review article aimed to explore the potential of engineered small EVs (sEVs) in suppressing human oncovirus-associated cancers. Methods: Our search was conducted for published research between 2000 and 2022 using several international databases, including Scopus, PubMed, Web of Science, and Google Scholar. We also reviewed additional evidence from relevant published articles. Results: In this line, the findings revealed that EV engineering as a new field is witnessing the development of novel sEV-based structures, and it is expected to be advanced in the future. EVs may be further exploited in specialized applications as therapeutic or diagnostic tools. The techniques of biotechnology have been additionally utilized to create synthetic bilayers based on the physical and chemical properties of parent molecules via a top-down strategy for downsizing complicated, big particles into nano-sized sEVs. Conclusion: As the final point, EV-mediated treatments are less toxic to the body than the most conventional ones, making them a safer and even more effective option. Although many in vitro studies have so far tested the efficacy of sEVs, further research is still needed to develop their potential in animal and clinical trials to reap the therapeutic benefits of this promising platform. [ABSTRACT FROM AUTHOR]

Background: Hepatitis C virus (HCV) infection is one of the most important risk factors for liver failure which can lead to chronic hepatitis, cirrhosis, and hepatocellular carcinoma. Approximately 170-200 million (almost 3% of the world's population) people have been reported to have HCV infection worldwide. HCV has six genotypes and multiple subtypes. HCV genotyping and identification of subtypes are critical steps for HCV vaccine development. Materials and Methods: In this community-based study, we aimed to investigate the HCV genotypes in infected patients referring to the laboratory of Hajar Hospital of Shahrekord city (the capital of Chaharmahal and Bakhtiari Province) in Iran from November 21, 2016, to October 21, 2017. During 2016-2017, the sera were obtained from 2377 individuals referring to the laboratory of Hajar Hospital of Shahrekord, Iran. The anti-HCV antibody was tested for all sera by enzyme-linked immunosorbent assay test. Following HCV RNA isolation and cDNA synthesis, HCV genotype detection was performed by quantitative reverse transcription-polymerase chain reaction. Results: Genotypes 3, 1a, and 1b were found in 28.6% (95% confidence interval [CI]: 17.0%-40.0%), 9.5% (95% CI: 2.1%-17.0%), and 3.2% (95% CI: 0.0%-7.6%) of the patients, respectively. In 5 patients (7.9%, 95% CI: 1.1%-14.8%), however, we did not observe any genotypes. We could not find any significant difference between the plasma viral load of infected patients and different genotypes. There was no significant difference either between age groups and genotypes (P > 0.05). Conclusion: The findings of the present study determined that HCV genotype 3 was the predominant genotype followed by the genotypes 1a and 1b in Chaharmahal and Bakhtiari Province. [ABSTRACT FROM AUTHOR]