Global hepatitis C elimination: history, evolution, revolutionary changes and barriers to overcome

Analysis of articles on hepatitis C by scientific mapping: 1989-2022

BACKGROUND

Hepatitis C virus (HCV) poses a significant quandary about public health. It is challenging to study the literature in a particular discipline comprehensively today. One solution is bibliometric analysis, which is often used to track the attributes and evolutionary trajectories of scientific outputs.

AIM

To examine the 35-year scientific evolution of articles focused on HCV.

METHODS

This study examined the 35-year scientific evolution of articles focused on HCV. Our study utilized the Web of Science database. The study encompassed a total of 11930 articles.

RESULTS

Regarding the cumulative count of articles, the leading countries are the United States, Japan, and Italy. Rice CM is the author with the highest recorded H-index and G-index values. The journal with the highest recorded H-index and G-index values is the Journal of Virology. The Journal of Viral Hepatitis contributed 10.94% of the articles, whereas the Journal of Virology published 9.68%. According to the strategic diagram, the keywords most frequently used in 2020-2022 are HCV, epidemiology, and sofosbuvir.

CONCLUSION

This study provides valuable information about 40 years of academic knowledge on HCV.

Mechanisms and Consequences of Genetic Variation in Hepatitis C Virus (HCV)

Chronic infection with hepatitis C virus (HCV) is an important contributor to the global incidence of liver diseases, including liver cirrhosis and hepatocellular carcinoma. Although common for single-stranded RNA viruses, HCV displays a remarkable high level of genetic diversity, produced primarily by the error-prone viral polymerase and host immune pressure. The high genetic heterogeneity of HCV has led to the evolution of several distinct genotypes and subtypes, with important consequences for pathogenesis, and clinical outcomes. Genetic variability constitutes an evasion mechanism against immune suppression, allowing the virus to evolve epitope escape mutants that avoid immune recognition. Thus, heterogeneity and variability of the HCV genome represent a great hindrance for the development of vaccines against HCV. In addition, the high genetic plasticity of HCV allows the virus to rapidly develop antiviral resistance mutations, leading to treatment failure and potentially representing a major hindrance for the cure of chronic HCV patients. In this chapter, we will present the central role that genetic diversity has in the viral life cycle and epidemiology of HCV. Incorporation errors and recombination, both the result of HCV polymerase activity, represent the main mechanisms of HCV evolution. The molecular details of both mechanisms have been only partially clarified and will be presented in the following sections. Finally, we will discuss the major consequences of HCV genetic diversity, namely its capacity to rapidly evolve antiviral and immunological escape variants that represent an important limitation for clearance of acute HCV, for treatment of chronic hepatitis C and for broadly protective vaccines.

Periodontitis, Metabolic and Gastrointestinal Tract Diseases: Current Perspectives on Possible Pathogenic Connections

Comprehensive research conducted over the past decades has shown that there is a definite connection between periodontal and systemic conditions, leading to the development and consolidation of the “periodontal medicine” concept. The 2018 classification of periodontal conditions uses this concept as a key element of the precise diagnosis of and individualized therapeutical protocols for periodontitis patients. The topic of this review is the pathogenic connections that exist between periodontal disease and metabolic/digestive tract conditions. It is important to remember that the oral cavity is a key element of the digestive tract and that any conditions affecting its integrity and function (such as periodontitis or oral cancer) can have a significant impact on the metabolic and gastrointestinal status of a patient. Thus, significant diseases with links to metabolic or digestive disruptions were chosen for inclusion in the review, such as diabetes mellitus, hepatic conditions and gastric cancers. Periodontal pathogenic mechanisms share several significant elements with these conditions, including mutual pro-inflammatory mediators, bacterial elements and genetic predisposition. Consequently, periodontal screening should be recommended for affected patients, and conversely, periodontitis patients should be considered for careful monitoring of their metabolic and digestive status.

Resource Management through Artificial Intelligence in Screening Programs-Key for the Successful Elimination of Hepatitis C

BACKGROUND

The elimination of the Hepatitis C virus (HCV) will only be possible if rapid and efficient actions are taken. Artificial neural networks (ANNs) are computing systems based on the topology of the biological brain, containing connected artificial neurons that can be tasked with solving medical problems.

AIM

We expanded the previously presented HCV micro-elimination project started in September 2020 that aimed to identify HCV infection through coordinated screening in asymptomatic populations and developed two ANN models able to identify at-risk subjects selected through a targeted questionnaire.

MATERIAL AND METHOD

Our study included 14,042 screened participants from a southwestern region of Oltenia, Romania. Each participant completed a 12-item questionnaire along with anti-HCV antibody rapid testing. Hepatitis-C-positive subjects were linked to care and ultimately could receive antiviral treatment if they had detectable viremia. We built two ANNs, trained and tested on the dataset derived from the questionnaires and then used to identify patients in a similar, already existing dataset.

RESULTS

We found 114 HCV-positive patients (81 females), resulting in an overall prevalence of 0.81%. We identified sharing personal hygiene items, receiving blood transfusions, having dental work or surgery and re-using hypodermic needles as significant risk factors. When used on an existing dataset of 15,140 persons (119 HCV cases), the first ANN models correctly identified 97 (81.51%) HCV-positive subjects through 13,401 tests, while the second ANN model identified 81 (68.06%) patients through only 5192 tests.

CONCLUSIONS

The use of ANNs in selecting screening candidates may improve resource allocation and prioritize cases more prone to severe disease.

Micro-Elimination: Updated Pathway to Global Elimination of Hepatitis C in Small Communities and Industrial Settings during the COVID 19 Pandemic

BACKGROUND

In response to the goal of the World Health Organisation to eliminate hepatitis C virus infections by 2030, Romania is striving for national elimination. An already successful micro-elimination project was expanded to test-and-treat specific populations and at-risk groups. The aim of this project was to identify the individuals with HCV infection in disadvantaged regions who do not have proper medical care access.

MATERIALS AND METHODS

Our two-arm interventional cross-sectional study used rapid anti-HCV antibody testing on two population groups from the Romanian southwestern region of Oltenia, approached between September 2020 and May 2021. The first group consisted of predominantly over 40 years old individuals, recruited through five family doctors from two medium-sized towns (community lot-CL). We approached a second group, aged 18-65, through 11 medical offices of five large factories in the same region (industry lot, IL). A 12-items questionnaire was given to each participant, to determine risk factors and record demographic data. Eligible patients initiated antiviral therapy using direct-acting antivirals (DAAs).

RESULTS

We enrolled 15,383 individuals between all 16 locations. The overall prevalence by antibody testing was 0.77% (119 cases). Of these, 57 subsequently received treatment with DAAs. We identified blood transfusions as a risk factor within the CL. Participants in the IL reported a relatively high risk for the following situations: sharing of personal hygiene belongings with another person, performing previous blood transfusions, dental interventions and previous surgery.

CONCLUSIONS

In this global context, the use of micro-elimination allows interventions to be faster and more efficient. This is possible by targeting smaller and specific HCV risk groups.

Triglyceride and glucose index: a useful tool for non-alcoholic liver disease assessed by liver biopsy in patients with metabolic syndrome?

INTRODUCTION

Non-alcoholic fatty liver disease (NAFLD) is associated with metabolic impairments, being a component of metabolic syndrome. Considering the involvement of fat accumulation and insulin resistance in NAFLD, triglyceride and glucose (TyG) index was proposed as a marker of NAFLD progression. The "gold standard" for the evaluation of liver lesions characteristic for NAFLD remains the liver biopsy. The aim of this study was to establish the links between TyG index, assessing insulin resistance, and histopathological lesions of liver samples obtained by liver biopsy in patients with metabolic syndrome.

PATIENTS, MATERIALS AND METHODS

We conducted a study over a period of three years, including 113 adult patients with metabolic syndrome in whom hepatic disorders were assessed by liver biopsy and insulin resistance was evaluated by TyG index.

RESULTS AND DISCUSSIONS

In our study, steatosis had a frequency of 92.03%, being identified 26 cases with mild steatosis, 48 with moderate steatosis and 31 with severe steatosis. Regarding non-alcoholic steatohepatitis (NASH), the frequency of this disorder in our study group was 29.2% in the subjects with liver steatosis, while liver fibrosis had a frequency of 53.09%. When we analyzed the relationships between TyG index and the presence of each type of lesion necessary for NASH diagnosis, we obtained statistically significant differences for the presence of hepatocyte ballooning (p=0.01) and a high statistically significance for the NAFLD activity score (NAS) (p<0.0001).

CONCLUSIONS

TyG index is a facile tool that can be used to identify patients at risk for advanced NAFLD lesions evaluated by liver biopsy.