OBJECTIVE: There is an unmet clinical need for non-invasive imaging biomarkers that could replace liver biopsy in the management of patients with autoimmune hepatitis (AIH). In this study, we sought to evaluate the diagnostic accuracy of a simple uncorrected, non-contrast T1 mapping for detecting fibrosis and inflammation in AIH patients using histopathology as a reference standard.
METHODS: Over 3 years, 33 patients with AIH were prospectively studied using a multiparametric liver MRI protocol which included T1 mapping. Biopsies were performed up to 3 months before imaging, and a standardized histopathological score for fibrosis (F0-F4) and inflammatory activity (PPA0-4) was used as a reference. Statistical analysis included independent t test, Mann-Whitney U-test, and ROC (receiver operating characteristic) analysis.
RESULTS: T1 mapping values were significantly higher in patients with advanced fibrosis (F0-2 vs. F3-4; p < 0.015), significant fibrosis (F0-1 vs. F2-4; p < 0.005), and significant inflammatory activity (PPA 0-1 vs. PPA 2-4 p = 0.048). Moreover, the technique demonstrated a good diagnostic performance in detecting significant (AUC 0.856) and advanced fibrosis (AUC 0.835), as well as significant inflammatory activity (AUC 0.763).
CONCLUSIONS: A rapid, simple, uncorrected, non-contrast T1 mapping sequence showed satisfactory diagnostic performance in comparison with histopathology for detecting significant tissue inflammation and fibrosis in AIH patients, being a potential non-invasive imaging biomarker for monitoring disease activity in such individuals.

Risk factors for hepatocarcinogenesis include chronic inflammation due to viral infection, liver fibrosis, and aging. In this study, we separated carcinogenic and non-carcinogenic cases due to hepatitis C virus (HCV) infection, aiming to comprehensively analyze miRNA expression in liver tissues by age, and identify factors that contribute to carcinogenesis. Total RNA was extracted from 360 chronic hepatitis C (CH), 43 HCV infected hepatocellular carcinoma (HCC), and surrounding non-tumor (SNT) tissues. MicroRNA (miRNA) expression patterns were analyzed using microarray. Using machine learning, we extracted characteristic miRNA expression patterns for each disease and age. There were no age-dependent changes in miRNA expression in the disease-specific comparisons; however, miRNA expression differed among the age groups of 50, 60, and 70 years of age between CH and SNT. The expression of miRNA was different between SNT and HCC only in patients in their 70s. Of the 55 miRNAs with significant differences in expression between CH and SNT, 34 miRNAs showed significant differences in expression even in the degree of liver fibrosis. The observation that miRNAs involved in hepatocarcinogenesis differ at different ages suggests that the mechanisms of carcinogenesis differ by age group as well. We also found that many miRNAs whose expression did not affect liver fibrosis were involved in carcinogenesis. These findings are expected to define biomarkers for detection of HCC at early stage, and develop novel therapeutic targets for HCC.

The hepatitis delta virus (HDV) is a small RNA virus (1700 base pairs), which uses the surface proteins of the hepatitis B virus (HBV) as an envelope. Accurate and reliable quantitative detection of HDV RNA is central for scientific and translational clinical research or diagnostic purposes. However, HDV poses challenges for nucleic acid amplification techniques: (1) the circular genome displays high intramolecular base pairing; (2) high content of cytosine and guanine; and (3) enormous genomic diversity among the eight known HDV genotypes (GTs). Here, we provide step-by-step instructions for (A) a manual workflow to perform a quantitative HDV reverse transcription (RT)-PCR from serum and liver tissue and (B) a quantitative HDV RT-PCR assay with whole process control to be used for serum or plasma samples run on a fully automated system. Both assays target the conserved ribozyme region and demonstrate inclusivity for all eight HDV GTs. The choice of assay depends on the experimental needs and equipment availability. While the former is ideal for scientific research laboratories, the latter provides a useful tool in the field of translational research or diagnostics.

Background and aims: The enhanced liver fibrosis (ELF) score is a blood test that combines three markers linked to liver fibrosis. The utility of the ELF score has been demonstrated primarily in Western countries, but whether it is useful in areas with a high number of elderly people suffering from chronic liver disease has yet to be determined. Methods: This is a prospective study that included 373 consecutive patients who underwent a liver biopsy and had their ELF score measured on the same day. The diagnostic accuracy of the ELF score for liver fibrosis and the effect of age on the ELF score were investigated. Results: The median (interquartile) ELF scores in F0, F1, F2, F3, and F4 are 8.7 (8.2-9.2), 9.3 (8.8-10.0), 10.1 (9.4-10.7), 10.7 (9.9-11.2), and 12.0 (11.2-12.7), respectively. ELF scores increased with increasing liver fibrosis stage (p < 0.001). The diagnostic accuracy of the ELF score and FIB-4 for significant fibrosis (F2-4) and advanced fibrosis (F3-4) was comparable, but the ELF score had a higher diagnostic accuracy for cirrhosis (F4) than FIB-4. When patients were stratified by age of 60 years, the median ELF score did not differ by age in F2, F3, and F4. However, the median FIB-4 increased in patients with ≥60 years compared to those with <60 years in all fibrosis stages. Conclusions: ELF score has high diagnostic accuracy for liver fibrosis, regardless of age, and it could be used as a primary screening method.

Background: The detection of fibrosis remains a necessity for the evaluation of hepatitis B virus (HBV)-infected patients, but the most accurate technique is invasive. Current studies aim to develop a novel noninvasive biomarker for fibrosis assessment, but no-one has found the ideal candidate. This study is a meta-analysis combined with a pilot study to investigate the connection between two transferase compounds and the levels of fibrosis. Methods: We studied data from PUBMED, Web of Science, and Scopus, retrieving 28,896 articles. Following PRISMA guidelines, we finally analyzed full-text articles written in English. The excluded items were duplicates, non-article entries, and irrelevant papers. We assessed the variations in alanine aminotransferase (ALT) and gamma-glutamyl transferase (GGT) levels between patients with high and low levels of fibrosis. Joanna Briggs Institute tools were used to assess article quality. We used R 4.2.2 for statistics. The pilot study included 14 randomly chosen patients with different fibrosis levels. Results: We found significant differences in ALT and GGT levels between patients with high and low fibrosis. The GGT/ALT ratio correlated with the levels of fibrosis and the fibrosis-4 (FIB-4) score. Conclusions: This meta-analysis assessed ALT and GGT levels in chronic HBV patients with fibrosis. The pilot study identified the first association between fibrosis and the GGT/ALT ratio in a Romanian cohort of chronic patients. This brings new ideas for future research.

A major worldwide health concern, chronic hepatitis B necessitates precise prognostic and diagnostic indicators for clinical guidance. This article highlights the clinical importance and current issues of the major markers used in both the detection and prognosis of chronic hepatitis B. An important indicator of an ongoing and persistent infection is the hepatitis B surface antigen. Hepatitis B virus DNA quantification monitoring aids in assessing viral load and hepatic cancer risk. While limited evidence of liver damage is provided by alanine aminotransferase levels, the hepatitis B core antibody verifies acute infection. Seroconversion to the hepatitis B e antibody is linked to a lower risk of disease development, and the hepatitis B e antigen status is a critical prognostic factor. Treatment choices are guided by a biopsy of the liver or minimally invasive liver fibrosis detection. Genotypes of the hepatitis B virus and host variables influence the prognosis by adding to the disease\'s variability. Noninvasive techniques to evaluate the severity of the disease are provided by serum markers of fibrosis, such as the fibrosis score based on four criteria and the aspartate aminotransferase-to-platelet ratio index. The requirement for indicators that distinguish between distinct viral phases and increase specificity in evaluating liver damage is one of the challenges facing chronic hepatitis B research. Even though it is quite difficult to find reliable biomarkers for resistance especially when it comes to hepatocellular cancer risk estimation, there are advanced methods, which include imaging and omics that can help in improving the accuracy of the diagnostics and prognosis. Interventions early point that improve patient outcomes are made possible using diagnostics and prognostics as they are quite effective in managing the complicated landscape of chronic hepatitis B. Key in addressing these challenges today and improving the diagnostic and prognostic markers in the future, particularly those that would support the development of successful treatment plans for people living with chronic hepatitis B virus (HBV), are scientific research, technological advances and collaborations.

OBJECTIVE: Hepatitis B surface antigen (HBsAg) loss is the optimal outcome for patients with chronic hepatitis B (CHB) but this rarely occurs with currently approved therapies. We aimed to develop and validate a prognostic model for HBsAg loss on treatment using longitudinal data from a large, prospectively followed, nationwide cohort.
METHODS: CHB patients receiving nucleos(t)ide analogues as antiviral treatment were enrolled from 50 centres in China. Quantitative HBsAg (qHBsAg) testing was prospectively performed biannually per protocol. Longitudinal discriminant analysis algorithm was used to estimate the incidence of HBsAg loss, by integrating clinical data of each patient collected during follow-up.
RESULTS: In total, 6792 CHB patients who had initiated antiviral treatment 41.3 (IQR 7.6-107.6) months before enrolment and had median qHBsAg 2.9 (IQR 2.3-3.3) log10IU/mL at entry were analysed. With a median follow-up of 65.6 (IQR 51.5-84.7) months, the 5-year cumulative incidence of HBsAg loss was 2.4%. A prediction model integrating all qHBsAg values of each patient during follow-up, designated GOLDEN model, was developed and validated. The AUCs of GOLDEN model were 0.981 (95% CI 0.974 to 0.987) and 0.979 (95% CI 0.974 to 0.983) in the training and external validation sets, respectively, and were significantly better than those of a single qHBsAg measurement. GOLDEN model identified 8.5%-10.4% of patients with a high probability of HBsAg loss (5-year cumulative incidence: 17.0%-29.1%) and was able to exclude 89.6%-91.5% of patients whose incidence of HBsAg loss is 0. Moreover, the GOLDEN model consistently showed excellent performance among various subgroups.
CONCLUSIONS: The novel GOLDEN model, based on longitudinal qHBsAg data, accurately predicts HBsAg clearance, provides reliable estimates of functional hepatitis B virus (HBV) cure and may have the potential to stratify different subsets of patients for novel anti-HBV therapies.

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BACKGROUND: Hepatitis E is a potentially serious infection in organ recipients, with an estimated two-thirds of cases becoming chronic, and with a subsequent risk of cirrhosis and death. In Europe, transmission occurs most often through the consumption of raw or undercooked pork, more rarely through blood transfusion, but also after solid organ transplantation. Here we describe a case of Hepatitis E virus (HEV) infection transmitted following kidney transplantation and review the literature describing cases of HEV infection transmitted by solid organ transplantation.
METHODS: Three weeks after kidney transplantation, the patient presented with an isolated minimal increase in GGT and hepatic cytolysis 6 months later, leading to the diagnosis of genotype 3c hepatitis E, with a plasma viral load of 6.5 log10IU/mL. In retrospect, HEV RNA was detected in the patient\'s serum from the onset of hepatitis, and in the donor\'s serum on the day of donation, with 100% identity between the viral sequences, confirming donor-derived HEV infection. Hepatitis E had a chronic course, was treated by ribavirin, and relapsed 10 months after the end of treatment.
CONCLUSIONS: Seven cases of transmission of HEV by solid organ transplantation have been described since 2012 without systematic screening for donors, all diagnosed at the chronic infection stage; two patients died. HEV organ donor transmission may be underestimated and there is insufficient focus on immunocompromised patients in whom mild liver function test impairment is potentially related to hepatitis E. However, since HEV infection is potentially severe in these patients, and as evidence accumulates, we believe that systematic screening of organ donors should be implemented for deceased and living donors regardless of liver function abnormalities, as is already the case in the UK and Spain. In January 2024, the French regulatory agency of transplantation has implemented mandatory screening of organ donors for HEV RNA.

The hepatitis D virus (HDV) is a compact, enveloped, circular RNA virus that relies on hepatitis B virus (HBV) envelope proteins to initiate a primary infection in hepatocytes, assemble, and secrete new virions. Globally, HDV infection affects an estimated 12 million to 72 million people, carrying a significantly elevated risk of developing cirrhosis, liver failure, and hepatocellular carcinoma (HCC) compared to an HBV mono-infection. Furthermore, HDV-associated HCC often manifests at a younger age and exhibits more aggressive characteristics. The intricate mechanisms driving the synergistic carcinogenicity of the HDV and HBV are not fully elucidated but are believed to involve chronic inflammation, immune dysregulation, and the direct oncogenic effects of the HDV. Indeed, recent data highlight that the molecular profile of HCC associated with HDV is unique and distinct from that of HBV-induced HCC. However, the question of whether the HDV is an oncogenic virus remains unanswered. In this review, we comprehensively examined several crucial aspects of the HDV, encompassing its epidemiology, molecular biology, immunology, and the associated risks of liver disease progression and HCC development.