Impact of sustained virologic response on glucose parameters among patients with chronic hepatitis C treated with direct-acting antivirals.

Objective: The aim of this study was to evaluate the glycated hemoglobin (HbA1c) levels before and after sustained virologic response (SVR) and investigate the baseline characteristics associated with improved glycemic control in patients with chronic hepatitis C (CHC) achieving SVR after directacting antivirals (DAA) therapy. Materials and methods: Consecutive adult patients with CHC who achieved SVR after DAA treatment between January 2016 and December 2017 at Hospital de Clínicas de Porto Alegre (RS, Brazil) were prospectively included. Levels of HbA1c were measured up to 24 weeks before DAA therapy and 12 weeks after SVR. Exclusion criteria were decompensated cirrhosis, HIV and/or hepatitis B virus, liver disease of other etiologies, and/or modification of prediabetes/ type 2 diabetes mellitus (PDM/T2DM) management. The primary outcome was a comparison of HbA1c levels before and after SVR. Secondary outcomes were the baseline variables associated with improved glycemic control. Results: The study included 207 patients with a mean age of 60.6±10.7 years, of whom 51.7% were women, 56% had cirrhosis, 37.7% had HCV genotype 3, and 54.5% had baseline T2DM or PDM. The median HbA1c level reduced significantly after SVR (5.5%, interquartile range [IQR] 4.9%-6.3%) compared with baseline (5.7%, IQR 5.3%-6.7%; p = 0.01). The baseline characteristics associated with improved HbA1c after SVR were cirrhosis, genotype 3, and age ≤ 60 years. Conclusion: Among patients with CHC, SVR after DAA was associated with HbA1c reduction, particularly in those with cirrhosis, genotype 3, and age ≤ 60 years.

Impact of Public Policy and COVID-19 Pandemic on Hepatitis C Testing and Treatment in France, 2014-2021.

Given the World Health Organization's target to eliminate the hepatitis C virus (HCV) by 2030, we assessed the impact of French public policies and the COVID-19 pandemic on HCV testing and initiation of direct-antiviral agents (DAAs). Using the French National Health Data System, we identified individuals living in metropolitan France with at least one reimbursement for an anti-HCV test and those with a first delivery of DAAs between 1 January 2014 and 31 December 2021. During this period, the annual number of people tested increased each year between 3.3 (in 2015) and 9.3% (in 2021), except in 2020, with a drop of 8.3%, particularly marked in April (-55.0% compared to February 2020). A return to pre-pandemic testing levels was observed in 2021. The quarterly number of patients initiating DAAs presented an upward trend from Q1-2014 until mid-2017, with greater increases in Q1-2015, and Q1- and Q2-2017, concomitant with DAA access policies and availability of new therapies. Then, quarterly numbers decreased. A 65.5% drop occurred in April compared to February 2020. The declining DAA initiations since mid-2017, despite new measures improving access and screening efforts, could be due to the shrinking pool of patients requiring treatment and a need to increase awareness among undiagnosed infected people. Further action is needed to eliminate HCV in France.

Evaluation of a Project Integrating Financial Incentives into a Hepatitis C Testing and Treatment Model of Care at a Sexual Health Service in Cairns, Australia, 2020-2021.

BACKGROUND: Understanding the effectiveness of novel models of care in community-based settings is critical to achieving hepatitis C elimination. We conducted an evaluation of a hepatitis C model of care with financial incentives that aimed to improve engagement across the hepatitis C cascade of care at a sexual health service in Cairns, Australia. METHODS: Between March 2020 and May 2021, financial incentives were embedded into an established person-centred hepatitis C model of care at Cairns Sexual Health Service. Clients of the Service who self-reported experiences of injecting drugs were offered an AUD 20 cash incentive for hepatitis C testing, treatment initiation, treatment completion, and test for cure. Descriptive statistics were used to describe retention in hepatitis C care in the incentivised model. They were compared to the standard of care offered in the 11 months prior to intervention. RESULTS: A total of 121 clients received financial incentives for hepatitis C testing (antibody or RNA). Twenty-eight clients were hepatitis C RNA positive, of whom 92% (24/28) commenced treatment, 75% (21/28) completed treatment, and 68% (19/28) achieved a sustained virological response (SVR). There were improvements in the proportion of clients diagnosed with hepatitis C who commenced treatment (86% vs. 75%), completed treatment (75% vs. 40%), and achieved SVR (68% vs. 17%) compared to the pre-intervention comparison period. CONCLUSIONS: In this study, financial incentives improved engagement and retention in hepatitis C care for people who inject drugs in a model of care that incorporated a person-centred and flexible approach.

Four weeks of off-treatment follow-up is sufficient to determine virologic responses at off-treatment week 12 in patients with hepatitis C virus infection receiving fixed-dose pangenotypic direct-acting antivirals.

Early confirmation of sustained virologic response (SVR) or viral relapse after direct-acting antivirals (DAAs) for hepatitis C virus (HCV) infection is essential based on public health perspectives, particularly for patients with high risk of nonadherence to posttreatment follow-ups. A total of 1011 patients who achieved end-of-treatment virologic response, including 526 receiving fixed-dose pangenotypic DAAs, and 485 receiving other types of DAAs, who had available off-treatment weeks 4 and 12 serum HCV RNA data to confirm SVR at off-treatment week 12 (SVR12) or viral relapse were included. The positive predictive value (PPV) and negative predictive value (NPV) of SVR4 to predict patients with SVR12 or viral relapse were reported. Furthermore, we analyzed the proportion of concordance between SVR12 and SVR24 in 943 patients with available SVR24 data. The PPV and NPV of SVR4 to predict SVR12 were 98.5% (95% confidence interval [CI]: 98.0-98.9) and 100% (95% CI: 66.4-100) in the entire population. The PPV of SVR4 to predict SVR12 in patients receiving fixed-dose pangenotypic DAAs was higher than those receiving other types of DAAs (99.8% [95% CI: 98.9-100] vs. 97.1% [95% CI: 96.2-97.8], p < 0.001). The NPVs of SVR4 to predict viral relapse were 100%, regardless of the type of DAAs. Moreover, the concordance between SVR12 and SVR24 was 100%. In conclusion, an off-treatment week 4 serum HCV RNA testing is sufficient to provide an excellent prediction power of SVR or viral relapse at off-treatment week 12 among patients with HCV who are treated with fixed-dose pangenotypic DAAs.

Immortalized hepatocyte-like cells: A competent hepatocyte model for studying clinical HCV isolate infection.

More than 58 million individuals worldwide are inflicted with chronic HCV. The disease carries a high risk of end stage liver disease, i.e., cirrhosis and hepatocellular carcinoma. Although direct-acting antiviral agents (DAAs) have revolutionized therapy, the emergence of drug-resistant strains has become a growing concern. Conventional cellular models, Huh7 and its derivatives were very permissive to only HCVcc (JFH-1), but not HCV clinical isolates. The lack of suitable host cells had hindered comprehensive research on patient-derived HCV. Here, we established a novel hepatocyte model for HCV culture to host clinically pan-genotype HCV strains. The immortalized hepatocyte-like cell line (imHC) derived from human mesenchymal stem cell carries HCV receptors and essential host factors. The imHC outperformed Huh7 as a host for HCV (JFH-1) and sustained the entire HCV life cycle of pan-genotypic clinical isolates. We analyzed the alteration of host markers (i.e., hepatic markers, cellular innate immune response, and cell apoptosis) in response to HCV infection. The imHC model uncovered the underlying mechanisms governing the action of IFN-α and the activation of sofosbuvir. The insights from HCV-cell culture model hold promise for understanding disease pathogenesis and novel anti-HCV development.

The clinical significance of long non-coding RNAs MALAT1 and CASC2 in the diagnosis of HCV-related hepatocellular carcinoma.

BACKGROUND: Globally, hepatocellular carcinoma (HCC) is the second most common cause of cancer-related death due to a lack of early predictive and/or diagnostic tools. Thus, research for a new biomarker is important. LncRNAs play a functional role in target gene regulation and their deregulation is associated with several pathological conditions including HCC. OBJECTIVE: This study aimed to explore the diagnostic potential of two LncRNAs MALAT1 and CASC2 in HCC compared to the routinely used diagnostic biomarker. MATERIALS AND METHODS: The current study is a case-control study carried out at Fayoum University Hospital and conducted on 89 individuals. The study included three groups of 36 HCC patients on top of HCV(HCC/HCV), 33 HCV patients, and 20 healthy volunteers as a control group. All study subjects were subjected to radiological examinations. The determination of CBC was performed by the automated counter and liver function tests by the enzymatic method were performed. In addition, HCV RNA quantification and the expression level of two LncRNAs (MALAT1 and CASC2) were performed by qRT-PCR. RESULTS: The results revealed a statistically significant difference between study groups regarding liver function tests with a higher mean in HCC/HCV group. Also, serum MALAT1 significantly up-regulated in HCV (11.2±2.8) and HCC/HCV (4.56±1.4) compared to the control group. Besides, serum CASC2 levels in the HCV group were significantly upregulated (14.9±3.6), while, downregulated in the HCC group (0.16± 0.03). Furthermore, The ROC analysis for diagnostic efficacy parameters indicated that CASC2 has higher accuracy (94.6%) and sensitivity (97.2%) for HCC diagnosis than AFP with an accuracy of (90.9%), sensitivity (69.4%), and MALAT1 showed an accuracy of (56.9%), sensitivity (72.2%). CONCLUSION: Our study results indicated that CASC2 is a promising biomarker and is considered better and could help in HCC diagnosis on top of HCV than MALAT1 and the routine biomarker AFP.

Determination of hepatitis C virus subtype prevalent in Sindh, Pakistan: a phylogenetic analysis.

Hepatitis is a major public health issue, affecting 10-17 million people worldwide, with its prevalence continuously increasing. The Hepatitis C virus (HCV) is responsible for liver related diseases, which include liver cirrhosis, hepatocellular carcinoma, and chronic hepatitis. Pakistan is experiencing a serious rise in HCV cases. This study aimed to assess the prevalence and distribution of HCV genotypes in Sindh, Pakistan. Serum samples from HCV-positive patients were collected from various local hospitals in Sindh. These samples were first screened for HCV antibodies using ELISA. Samples that tested positive for HCV RNA underwent further genotyping through sequencing using the standard Sanger method. The genotypes were identified by comparing the sequences with those available in the National Center for Biotechnology Information (NCBI) database, and a phylogenetic tree was constructed. The phylogenetic analysis showed that all isolates in this study were clustered with genotypes 3a and 3b, except for one sequence that was clustered with genotype 1a. No isolates were found to be clustered with reference genomes of genotypes 2, 4, 5, 6, and 7 suggesting that genotype 3a is endemic in this region. The analyzed sequences demonstrated a 98% similarity with reference and isolated sequences. In summary, sequencing of the HCV 5' UTR essential for identifying the predominant genotype of HCV RNA in the Sindh region Further research on the distribution of HCV genotypes in other regions of Pakistan could aid in improving screening processes, identifying more effective treatment options, and developing suitable prevention strategies.

Comprehensive assessment of circulatory miRNAs as potential diagnostic markers in HCV recurrence post liver transplantation.

HCV recurrence after liver transplantation is one of the causal agents for graft rejection. This study aims to profile non-invasive biomarkers in patients with HCC who had liver transplants. One hundred participants were categorized into three groups (20 control, 32 recurrent HCV (RHCV), and 48 non-RHCV). The expression of six miRNAs (hsa-miR-124-3p, hsa-miR-155-5p, hsa-miR-205-5p, hsa-miR-499a-5p, hsa-miR-574-3p, and hsa-miR-103a-3p) and two mRNAs IL-1ß, STAT1 were quantified. RHCV group has higher levels of hsa-miR-574-3p and hsa-miR-155-5p and lesser levels of hsa-miR-499a-5p than control groups (p = 0.024, 0.0001, 0.002; respectively). RHCV and non-RHCV groups revealed a significant reduction in levels of IL-1ß and STAT1 mRNA compared to the control (p = 0.011, 0.014; respectively). According to ROC analysis, miR-155-5p can differentiate among the patients' groups, while miR-574-3p, IL-1ß, and STAT1 mRNA can discriminate between RHCV and control groups. In conclusion, RHCV patients have dysregulated expression of five transcripts compared to non-RHCV and control groups.

Comparison of diagnostic performance among Abbott RealTime HCV Genotyping II, Abbott HCV Genotype plus RUO, and Roche Cobas HCV Genotyping assays for hepatitis C virus genotyping.

Comparison of diagnostic accuracy for commercial hepatitis C virus (HCV) genotyping (Abbott RealTime HCV Genotyping II, Roche Cobas Genotyping) and investigational Abbott HCV Genotype plus RUO assays designed to discriminate genotype (GT)-1a, 1b or 6 in cases of ambiguous GT from the Abbott commercial assay remains limited. 743 HCV-viremic samples were subjected to analysis using Abbott and Roche commercial as well as Abbott HCV Genotype plus RUO assays. Next-generation sequencing (NGS) targeting core region was employed as the reference standard. Diagnostic accuracy was reported as the number of participants (percentages) along with 95% confidence intervals (CIs). Using NGS, 741 samples (99.7%) yielded valid genotyping results. The diagnostic accuracies were 97.6% (95% CI: 96.1%-98.5%) and 95.3% (95% CI: 93.4%-96.6%) using Abbott and Roche commercial assays (p = 0.0174). Abbott commercial assay accurately diagnosed HCV GT-6a and 6w, whereas Roche commercial assay accurately diagnosed HCV GT-6a. Both assays demonstrated low accuracies for HCV GT-6b, 6e, 6g, and 6n. Abbott HCV Genotype plus RUO assay discriminated 13 of the 14 samples (92.9%; 95% CI: 64.2%-99.6%) that yielded ambiguous GT. Both assays were capable of diagnosing mixed HCV infections when the minor genotype comprised >8.4% of the viral load. The diagnostic performance of commercial HCV genotyping assays is commendable. Abbott assay demonstrated superior performance compared to Roche assay in diagnosing HCV GT-6. Abbott HCV Genotype plus RUO assay aids in discriminating ambiguous GT. Both commercial assays are proficient in diagnosing mixed HCV infections at a cut-off viral load of 8.4% in minor genotype.

Feasibility, safety, efficacy and potential scaling-up of sofosbuvir-based HCV treatment in Central and West Africa: (TAC ANRS 12311 trial).

Access to Hepatis C treatment in Sub-Saharan Africa is a clinical, public health and ethical concern. The multi-country open-label trial TAC ANRS 12311 allowed assessing the feasibility, safety, efficacy of a specific care model of HCV treatment and retreatment in patients with hepatitis C in Sub Saharan Africa. Between November 2015 and March 2017, with follow-up until mid 2019, treatment-naïve patients with HCV without decompensated cirrhosis or liver cancer were recruited to receive 12 week-treatment with either sofosbuvir + ribavirin (HCV genotype 2) or sofosbuvir + ledipasvir (genotype 1 or 4) and retreatment with sofosbuvir + velpatasvir + voxilaprevir in case of virological failure. The primary outcome was sustained virological response at 12 weeks after end of treatment (SVR12). Secondary outcomes included treatment adherence, safety and SVR12 in patients who were retreated due to non-response to first-line treatment. The model of care relied on both viral load assessment and educational sessions to increase patient awareness, adherence and health literacy. The study recruited 120 participants, 36 HIV-co-infected, and 14 cirrhotic. Only one patient discontinued treatment because of return to home country. Neither death nor severe adverse event occurred. SVR12 was reached in 107 patients (89%): (90%) in genotype 1 or 2, and 88% in GT-4. All retreated patients (n = 13) reached SVR12. HCV treatment is highly acceptable, safe and effective under this model of care. Implementation research is now needed to scale up point-of-care HCV testing and SVR assessment, along with community involvement in patient education, to achieve HCV elimination in Sub-Saharan Africa.

A potential new way to facilitate HCV elimination: The prediction of viremia in anti-HCV seropositive patients using machine learning algorithms.

BACKGROUND AND STUDY AIMS: The present study was undertaken to design a new machine learning (ML) model that can predict the presence of viremia in hepatitis C virus (HCV) antibody (anti-HCV) seropositive cases. PATIENTS AND METHODS: This retrospective study was conducted between January 2012-January 2022 with 812 patients who were referred for anti-HCV positivity and were examined for HCV ribonucleic acid (HCV RNA). Models were constructed with 11 features with a predictor (presence and absence of viremia) to predict HCV viremia. To build an optimal model, this current study also examined and compared the three classifier data mining approaches: RF, SVM and XGBoost. RESULTS: The highest performance was achieved with XGBoost (90%), which was followed by RF (89%), SVM Linear (85%) and SVM Radial (83%) algorithms, respectively. The four most important key features contributing to the models were: alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin (ALB) and anti-HCV levels, respectively, while "ALB" was replaced by the "AGE" only in the XGBoost model. CONCLUSION: This study has shown that XGBoost and RF based ML models, incorporating anti-HCV levels and routine laboratory tests (ALT, AST, ALB), and age are capable of providing HCV viremia diagnosis with 90% and 89% accuracy, respectively. These findings highlight the potential of ML models in the early diagnosis of HCV viremia, which may be helpful in optimizing HCV elimination programs.

Programmed cell death-1 is involved with peripheral blood immune cell profiles in patients with hepatitis C virus antiviral therapy.

Mutations in the non-structural protein regions of hepatitis C virus (HCV) are a cause of a non-sustained virological response (SVR) to treatment with direct-acting antivirals (DAAs) for chronic hepatitis; however, there are non-SVR cases without these mutations. In this study, we examined immune cell profiles in peripheral blood before and after ombitasvir/paritaprevir/ritonavir treatment and screened for genes that could be used to predict the therapeutic effects of DAAs. Fluorescence-activated cell sorting analysis indicated that the median frequencies of programmed cell death-1-positive (PD-1+) effector regulatory T cells (eTregs), PD-1+CD8+ T cells, and PD-1+Helper T cells were decreased significantly in SVR cases, but without significant changes in non-SVR cases. The frequency of PD-1+ naïve Tregs was significantly higher in the SVR group than in the non-SVR group before and after treatment. Similar results were found in patients treated with other DAAs (e.g., daclatasvir plus asunaprevir) and supported an immune response after HCV therapy. RNA-sequencing analysis indicated a significant increase in the expression of genes associated with the immune response in the SVR group, while genes related to intracellular and extracellular signal transduction were highly expressed in the non-SVR group. Therefore, we searched for genes associated with PD-1+ eTregs and CD8+ T cells that were significantly different between the SVR and non-SVR groups and found that T-box transcription factor 21 was associated with the non-SVR state. These results indicate that PD-1-related signaling pathways are associated with a non-SVR mechanism after DAAs treatment separate from mutation-related drug resistance.

Hepatitis C Virus E1E2 Structure, Diversity, and Implications for Vaccine Development.

Hepatitis C virus (HCV) is a major medical health burden and the leading cause of chronic liver disease and cancer worldwide. More than 58 million people are chronically infected with HCV, with 1.5 million new infections occurring each year. An effective HCV vaccine is a major public health and medical need as recognized by the World Health Organization. However, due to the high variability of the virus and its ability to escape the immune response, HCV rapidly accumulates mutations, making vaccine development a formidable challenge. An effective vaccine must elicit broadly neutralizing antibodies (bnAbs) in a consistent fashion. After decades of studies from basic research through clinical development, the antigen of choice is considered the E1E2 envelope glycoprotein due to conserved, broadly neutralizing antigenic domains located in the constituent subunits of E1, E2, and the E1E2 heterodimeric complex itself. The challenge has been elicitation of robust humoral and cellular responses leading to broad virus neutralization due to the relatively low immunogenicity of this antigen. In view of this challenge, structure-based vaccine design approaches to stabilize key antigenic domains have been hampered due to the lack of E1E2 atomic-level resolution structures to guide them. Another challenge has been the development of a delivery platform in which a multivalent form of the antigen can be presented in order to elicit a more robust anti-HCV immune response. Recent nanoparticle vaccines are gaining prominence in the field due to their ability to facilitate a controlled multivalent presentation and trafficking to lymph nodes, where they can interact with both the cellular and humoral components of the immune system. This review focuses on recent advances in understanding the E1E2 heterodimeric structure to facilitate a rational design approach and the potential for development of a multivalent nanoparticle-based HCV E1E2 vaccine. Both aspects are considered important in the development of an effective HCV vaccine that can effectively address viral diversity and escape.

Reduction of the Risk of Hepatocellular Carcinoma over Time Using Direct-Acting Antivirals: A Propensity Score Analysis of a Real-Life Cohort (PITER HCV).

The treatment of hepatitis C virus (HCV) with direct-acting antivirals (DAA) leads to high sustained virological response (SVR) rates, but hepatocellular carcinoma (HCC) risk persists in people with advanced liver disease even after SVR. We weighted the HCC risk in people with cirrhosis achieving HCV eradication through DAA treatment and compared it with untreated participants in the multicenter prospective Italian Platform for the Study of Viral Hepatitis Therapies (PITER) cohort. Propensity matching with inverse probability weighting was used to compare DAA-treated and untreated HCV-infected participants with liver cirrhosis. Kaplan-Meier analysis and competing risk regression analysis were performed. Within the first 36 months, 30 de novo HCC cases occurred in the untreated group (n = 307), with a weighted incidence rate of 0.34% (95%CI: 0.23-0.52%), compared to 63 cases among SVR patients (n = 1111), with an incidence rate of 0.20% (95%CI: 0.16-0.26%). The 12-, 24-, and 36-month HCC weighted cumulative incidence rates were 6.7%, 8.4%, and 10.0% in untreated cases and 2.3%, 4.5%, and 7.0% in the SVR group. Considering death or liver transplantation as competing events, the untreated group showed a 64% higher risk of HCC incidence compared to SVR patients (SubHR 1.64, 95%CI: 1.02-2.62). Other variables independently associated with the HCC occurrence were male sex, increasing age, current alcohol use, HCV genotype 3, platelet count ≤ 120,000/µL, and albumin ≤ 3.5 g/dL. In real-life practice, the high efficacy of DAA in achieving SVR is translated into high effectiveness in reducing the HCC incidence risk.

Effectiveness of test-and-treat model with direct-acting antiviral for hepatitis C virus infection in migrants: a prospective interventional study in Italy.

BACKGROUND: Migrants, mainly undocumented and low-income refugees, are at high risk of hepatitis C virus (HCV) infection, but are a difficult-to-reach and to-treat population. The aim of the study was to evaluate the effectiveness of a test and treat model with direct-acting antiviral for HCV infection in these migrants coming from low-income and living in southern Italy. METHODS: A prospective, multicenter, collaborative study based on a four-phase-program (educational counseling, screening, linkage-to-care and treatment) was designed in southern Italy; the study started in June 2018, was stopped in February 2020 because of the outbreak of SARS-CoV2 infection in Italy and was resumed in February 2021 until November 2021. After educational counseling on infectious diseases that are transmitted through blood or sexually pseudonymized HCV screening was offered to all undocumented migrants and low-income refugees observed at one of the 1st level clinical centers. The HCV-RNA-positive subjects were referred to one of the 3rd level units of Infectious Diseases (ID) and treated with a 12-week course of sofosbuvir-velpatasvir and observed for 12 weeks after the end of direct antiviral agents (DAA) treatment. STATISTICAL ANALYSIS: For the descriptive analysis, the categorical variables were reported as absolute numbers and relative frequencies. Continuous variables were summarized as mean and standard deviation (SD) if normally distributed, or as a median and interquartile range (IQR) if not normally distributed. We used Pearson chi-square or Fisher's exact test for categorical variables and Student's t test or Mann-Whitney test for continuous variables. A P value < 0.05 was considered to be statistically significant. Analyses were performed with SPSS 21.0. RESULTS: Of the 3501migrants observed in the study period, 3417 (97.6%) agreed to be screened; 185 (4.7%) were anti-HCV-positive and, of these, 53 (28.6%) were HCV-RNA-positive. Of these 53 subjects, 48 (90.5%) were referred to an ID unit and started DAA treatment. The HCV-RNA-positive-subjects were older [median 36 years (IQR: 32-21) vs 27.19 (IQR: 30.5-19.25); P = 0.001], and less frequently males [35 (66.03 %) vs 119 (90.1%), P < 0 .0001] than seronegative participants. They more frequently came from Eastern Europe (70.8%) stayed longer in Italy [months of stay in Italy, mean ± SD: 51.02 ± 52.84 vs 25.7 ± 42.65, P = 0.001], and had more years of schooling [years of schooling, mean ± SD: 9.61±2.81 vs 7.10 ± 4, P = 0.0001]. HCV-RNA-positive-subjects less frequently reported piercing, tattoos and tribal scars as risk factors (23.6%). Of these 48 HCV RNA positive subjects who started DAA, 47 (97.9%) showed a sustained virological response and one dropped-out in follow-up after DAA treatment. No subject had any adverse event. CONCLUSIONS: This model of HCV screening and linkage to care seems effective to eliminate HCV infectionin a difficult-to-reach and to-treat population, such as undocumented migrants and low-income refugees. The participation of cultural mediators in the study made possible a better interaction between migrants and physicians, as is evident from the large number of subjects enrolled. Eliminating HCV among migrants will have a long-term positive impact from a public health and healthcare perspective by reducing the number of individuals who potentially develop HCV-related complications such as liver cirrhosis and hepatocellular carcinoma and reducing the circulation of HCV in the regions that host them which often, as in the case of Italy, are low endemic for HCV infection.

PSPC1 Binds to HCV IRES and Prevents Ribosomal Protein S5 Binding, Inhibiting Viral RNA Translation.

Hepatitis C virus (HCV) infects the human liver, and its chronic infection is one of the major causes of Hepatocellular carcinoma. Translation of HCV RNA is mediated by an Internal Ribosome Entry Site (IRES) element located in the 5'UTR of viral RNA. Several RNA Binding proteins of the host interact with the HCV IRES and modulate its function. Here, we demonstrate that PSPC1 (Paraspeckle Component 1), an essential paraspeckle component, upon HCV infection is relocalized and interacts with HCV IRES to prevent viral RNA translation. Competition UV-crosslinking experiments showed that PSPC1 interacts explicitly with the SLIV region of the HCV IRES, which is known to play a vital role in ribosomal loading to the HCV IRES via interaction with Ribosomal protein S5 (RPS5). Partial silencing of PSPC1 increased viral RNA translation and, consequently, HCV replication, suggesting a negative regulation by PSPC1. Interestingly, the silencing of PSPC1 protein leads to an increased interaction of RPS5 at the SLIV region, leading to an overall increase in the viral RNA in polysomes. Overall, our results showed how the host counters viral infection by relocalizing nuclear protein to the cytoplasm as a survival strategy.

Treatment initiation rates of patients with positive anti-hepatitis C virus results in tertiary hospitals in Turkey.

INTRODUCTION: The aim of this national, multicenter, cross-sectional, retrospective chart review study was to determine the proportion of patients in Turkey who received hepatitis C virus (HCV) treatment after receiving positive anti-HCV results during HCV screening. METHODOLOGY: Data related to patients' demographics, laboratory results, time interval from obtaining a positive anti-HCV result to treatment initiation, specialty of the physician requesting anti-HCV screening, and type of hospital were analyzed. RESULTS: Among 1,000 patients who received a positive anti-HCV result, 50.3% were male and 78.5% were screened for HCV-RNA. Among HCV-RNA screened patients, 54.8% (n = 430) had a positive result. Among patients who tested positive for HCV-RNA, 72.8% received HCV treatment in line with their positive anti-HCV results. The median time from obtaining a positive anti-HCV result to initiation of HCV treatment was 91.0 days (interquartile range 42.0 to 178.5). Non-surgical branches requested HCV-RNA testing more frequently than surgical branches (p < 0.001). The rate of access to HCV treatment was higher among patients screened in university hospitals than among patients screened in training and research hospitals (p < 0.001). CONCLUSIONS: Our results indicate a higher rate of treatment initiation among patients with HCV infection than is described in the published literature. Furthermore, the time from screening to treatment initiation was considerably shorter compared with other international studies. However, since HCV-RNA testing was not requested in a significant portion of patients with a positive anti-HCV test result, there might be a large patient population with HCV who do not receive treatment.

Distribution and genotyping of hepatitis C virus (HCV) infection in Gansu province, China.

INTRODUCTION: The distribution of common subtypes of hepatitis C virus (HCV) in Gansu province were analyzed. This information provided a theoretical basis for the selection of appropriate antiviral treatment regimens. METHODOLOGY: We collected data on HCV antibody screening tests from 421,802 outpatients and inpatients at the Second Clinical Hospital of Lanzhou University from January 2018 to June 2022. Ribonucleic acid (RNA) viral load, HCV genotypes, and HCV quantification were analyzed retrospectively. The results of HCV positive detection rate, copy number, and genotype distribution were statistically analysed using SPSS 26.0. RESULTS: A total of 421,802 HCV antibody screenings were performed resulting in 4,558 positive cases (1.081%). In addition, 2,345 cases (1.302%) were positive with quantitative HCV antibodies in 180,157 outpatients and inpatients. Quantitative HCV virus RNA was further measured in 2592 outpatients and inpatients. There were 825 positive cases for HCV, with a positivity rate of 31.83%. High-sensitivity quantification of HCV-RNA was performed in 6538 patients, among which 1336 were HCV-RNA positive infections (positivity rate of 20.43%). Among the 1484 genotype tests, 4 genotypes and 10 subtypes were detected, including 4a, 1b, 2a, 2b, 3a, 3b, 6a, 6n, 1b/2a, and 2a/6a, with the majority of results from 2a (51.89%) and 1b (42.72%). CONCLUSIONS: The most prevalent genetic subtype in HCV-positive patients in Gansu was 2a, followed by 1b. In addition, 8 genotype subtypes appeared: 1a, 2b, 3a, 3b, 6a, 6n, 1b/2a and 2a/6a. Understanding the distribution of HCV genes in Gansu province is of significance for the optimization of virus treatment.

Hepatitis C prevalence and cascade of care among patients in the decentralised opioid agonist therapy programme of the canton of St Gallen, Switzerland: a cross-sectional study.

BACKGROUND: To eliminate chronic hepatitis C virus (HCV) infection by 2030, 90% of those infected must be diagnosed and 80% treated. In Switzerland, >40% of the estimated 32,000 infected people are still undiagnosed. In the canton of St Gallen, HCV prevalence and cascade of care have only been studied in the centralised opioid agonist therapy (OAT) setting (institutions), although about 80% of OAT patients are treated decentrally (general practitioner [GP] or pharmacy). AIM: To describe HCV prevalence and cascade of care among patients in the decentralised OAT programme of the canton of St Gallen, Switzerland, and compare it to contemporaneous data from the centralised setting. METHODS: For each patient receiving his/her OAT from a GP or pharmacy on 1 April 2021, the cantonal medical office sent a questionnaire to the prescribing GP. Patient characteristics, HCV antibody (Ab)/RNA screening uptake, HCV Ab/RNA prevalence and HCV treatment uptake were obtained and compared to those of patients of the Medizinisch-soziale Hilfsstelle 1 in St Gallen (centralised setting). RESULTS: Of the 563 OAT patients under the care of 127 GPs, 107 patients from 41 GPs could be analysed (median age: 48 years [IQR: 40-56]; ongoing intravenous drug use: 25%; OAT provider: 66% GP, 34% pharmacy). HCV Ab screening uptake was 68% (73/107) with an HCV Ab prevalence of 68% (50/73) among those tested. Of the HCV Ab-positive patients, 84% (42/50) were HCV RNA-tested, among whom 57% (24/42) were viraemic. HCV treatment uptake was 83% (20/24), with 95% (19/20) achieving a sustained virological response. Non-uptake of HCV screening and treatment tended to be higher among patients receiving OAT at the pharmacy vs at the GP's office: 37% vs 26% (p = 0.245) for screening and 30% vs 7% (p = 0.139) for treatment. The proportion never HCV Ab-tested and the proportion of HCV Ab-positives never HCV RNA-tested was significantly higher in the decentralised compared to the centralised setting: 32% vs 3% (p <0.001) never Ab-tested and 16% vs 0% (p = 0.002) never RNA-tested. In contrast, HCV treatment uptake (83% vs 78%), sustained virological response rate (95% vs 100%) and residual HCV RNA prevalence among the HCV Ab-positive (12% vs 14%) were comparable for both settings. CONCLUSION: In the decentralised OAT setting of the canton of St Gallen, HCV Ab prevalence is high. Since HCV Ab and RNA screening uptake are markedly lower than in the centralised setting, potentially >40% of patients with chronic HCV are not diagnosed yet. HCV screening in the decentralised setting needs improvement, e.g. by increasing awareness and simplifying testing. High HCV treatment uptake and cure rates are possible in centralised and decentralised settings.

Investigation of the effectiveness of a classification method based on improved DAE feature extraction for hepatitis C prediction.

Hepatitis C, a particularly dangerous form of viral hepatitis caused by hepatitis C virus (HCV) infection, is a major socio-economic and public health problem. Due to the rapid development of deep learning, it has become a common practice to apply deep learning to the healthcare industry to improve the effectiveness and accuracy of disease identification. In order to improve the effectiveness and accuracy of hepatitis C detection, this study proposes an improved denoising autoencoder (IDAE) and applies it to hepatitis C disease detection. Conventional denoising autoencoder introduces random noise at the input layer of the encoder. However, due to the presence of these features, encoders that directly add random noise may mask certain intrinsic properties of the data, making it challenging to learn deeper features. In this study, the problem of data information loss in traditional denoising autoencoding is addressed by incorporating the concept of residual neural networks into an enhanced denoising autoencoder. In our experimental study, we applied this enhanced denoising autoencoder to the open-source Hepatitis C dataset and the results showed significant results in feature extraction. While existing baseline machine learning methods have less than 90% accuracy and integrated algorithms and traditional autoencoders have only 95% correctness, the improved IDAE achieves 99% accuracy in the downstream hepatitis C classification task, which is a 9% improvement over a single algorithm, and a nearly 4% improvement over integrated algorithms and other autoencoders. The above results demonstrate that IDAE can effectively capture key disease features and improve the accuracy of disease prediction in hepatitis C data. This indicates that IDAE has the potential to be widely used in the detection and management of hepatitis C and similar diseases, especially in the development of early warning systems, progression prediction and personalised treatment strategies.