Journal of Clinical and Translational Hepatology最新文献

Chronic hepatitis B virus (HBV) infection remains a major cause of liver diseases, including cirrhosis and hepatocellular carcinoma. Reliable biomarkers for assessing viral replication, liver damage, and predicting clinical outcomes are essential for effective patient management. This review focuses on two promising biomarkers: serum HBV RNA and hepatitis B core-related antigen, both of which show strong correlations with viral replication and disease progression. Serum HBV RNA levels reflect the quantity and transcriptional activity of intrahepatic covalently closed circular DNA, providing insights into viral replication. They also correlate with other markers of replicative activity and have predictive value for key clinical outcomes, including hepatitis B e antigen and hepatitis B surface antigen seroconversion, relapse after therapy cessation, and liver fibrosis. Similarly, hepatitis B core-related antigen is closely associated with covalently closed circular DNA levels, correlates with markers of viral replication, and shows promise in predicting liver fibrosis, cirrhosis, and the risk of hepatocellular carcinoma. This review highlights the potential of both biomarkers for monitoring disease progression and guiding therapeutic decisions, particularly in the context of personalized treatment strategies and risk assessment for liver-related complications.

Background and aims: Given the high burden of hepatocellular carcinoma (HCC), risk stratification in patients with cirrhosis is critical but remains inadequate. In this study, we aimed to develop and validate an HCC prediction model by integrating radiomics and deep learning features from liver and spleen computed tomography (CT) images into the established age-male-ALBI-platelet (aMAP) clinical model.

Methods: Patients were enrolled between 2018 and 2023 from a Chinese multicenter, prospective, observational cirrhosis cohort, all of whom underwent 3-phase contrast-enhanced abdominal CT scans at enrollment. The aMAP clinical score was calculated, and radiomic (PyRadiomics) and deep learning (ResNet-18) features were extracted from liver and spleen regions of interest. Feature selection was performed using the least absolute shrinkage and selection operator.

Results: Among 2,411 patients (median follow-up: 42.7 months [IQR: 32.9-54.1]), 118 developed HCC (three-year cumulative incidence: 3.59%). Chronic hepatitis B virus infection was the main etiology, accounting for 91.5% of cases. The aMAP-CT model, which incorporates CT signatures, significantly outperformed existing models (area under the receiver-operating characteristic curve: 0.809-0.869 in three cohorts). It stratified patients into high-risk (three-year HCC incidence: 26.3%) and low-risk (1.7%) groups. Stepwise application (aMAP → aMAP-CT) further refined stratification (three-year incidences: 1.8% [93.0% of the cohort] vs. 27.2% [7.0%]).

Conclusions: The aMAP-CT model improves HCC risk prediction by integrating CT-based liver and spleen signatures, enabling precise identification of high-risk cirrhosis patients. This approach personalizes surveillance strategies, potentially facilitating earlier detection and improved outcomes.

Background and aims: Drug-induced liver injury (DILI) represents a prevalent adverse event associated with medication use. However, the exact mechanisms underlying DILI remain incompletely understood, and the lack of specific diagnostic and prognostic biomarkers poses significant challenges to the clinical diagnosis and treatment of this condition. Consequently, our study aimed to endeavor to identify serum and fecal metabolic biomarkers, enabling more accurate DILI diagnosis and improved prediction of chronic progression.

Methods: Untargeted metabolomics analysis was performed on serum and fecal samples obtained from a cohort of 32 DILI patients (causality confirmed via the updated Roussel Uclaf Causality Assessment Method) and 36 healthy controls. Utilizing techniques such as partial least squares-discriminant analysis modeling and t-tests, we identified significantly differentially expressed metabolites and metabolite sets. Causality assessment was performed using the updated Roussel Uclaf Causality Assessment Method.

Results: The findings from the analysis of serum and fecal metabolomics association pathways suggested that perturbations in bile acid metabolism might serve as potential mechanisms underlying the progression of DILI. Our study revealed 22 overlapping differential metabolites between serum and feces, displaying significant concentration differences between the DILI and healthy control groups. Notably, we identified chenodeoxycholic acid and deoxycholic acid as promising markers that not only distinguished DILI patients from healthy individuals but also exhibited predictive potential for DILI chronicity.

Conclusions: The integrated analysis of serum and fecal metabolites uncovers the significant disruption of bile acid metabolites as a key contributing factor in the pathogenesis of DILI. Our study offers promising potential biomarkers for the diagnosis and prognosis of DILI, paving the way for a novel perspective in the realm of DILI diagnosis and treatment.

Acute liver failure (ALF) is a disorder with various etiologies. Although the causes leading to this disruptive condition are well documented in published ALF cohorts, there is significant concern among patients who experience ALF with indeterminate causes, an issue requiring thorough analysis. This review aimed to analyze cohort studies on ALF with a focus on unknown causes leading to classification as indeterminate ALF. The analysis revealed that, among 67 worldwide adult and pediatric ALF cohorts, indeterminate causes of ALF ranged from 2% to 100%, with an average of 30%. Among the 13 pediatric ALF cohorts, the corresponding range was 22% to 100%, with an average of 47%, while among the 55 adult ALF cohorts, the range was 2% to 78%, with an average of 26%. The percentage values were higher in pediatric cohorts due to the higher incidence of rare genetic causes compared to adult patients. Notably, higher rates of indeterminate causes were found in cohorts studied before the availability of diagnostic serologic screening parameters and polymerase chain reaction techniques for various hepatitis virus infections. Patients with indeterminate ALF may not have received a specific treatment that, if effective, could have helped prevent liver transplantation. It is concluded that, in future cases, all efforts must be undertaken to clearly establish the cause of severe liver injury, enabling effective therapy when available and helping reduce the risk of progression to ALF and the need for liver transplantation.

Metabolic dysfunction-associated fatty liver disease, representing a spectrum of liver disorders from simple steatosis to metabolic dysfunction-associated steatohepatitis, fibrosis, and cirrhosis, has emerged as one of the most prevalent chronic liver conditions globally, affecting an estimated approximately 30% of the world's population. Its pathogenesis is highly complex, involving intricate interactions between genetic predisposition, metabolic dysregulation, inflammation, and cellular stress responses. Within this complex landscape, orphan nuclear receptors (ONRs) have gained significant attention. Defined by the lack of identified endogenous ligands, ONRs function as master transcriptional regulators controlling diverse biological processes. Crucially, they play pivotal roles in the development and progression of numerous diseases, including metabolic disorders.This review specifically focuses on elucidating the critical contributions of various ONRs to the pathogenesis of metabolic dysfunction-associated fatty liver disease. We examined how these receptors modulate key pathological drivers: lipid metabolism, inflammation,and autophagy.

Background and aims: Acute hepatitis E (AHE) in the elderly can lead to severe complications including liver failure and mortality, yet the epidemiological landscape remains poorly characterized. This study aimed to assess the burden, trends, and health inequalities of AHE among the elderly over the past three decades, and to further predict its changes by 2030.

Methods: Data on AHE in the elderly were obtained from the Global Burden of Disease 2021. The burden of AHE was analyzed by trends, decomposition, cross-country inequalities, and predictive analysis.

Results: In 2021, the global incidence and Disability-Adjusted Life Years (DALYs) for AHE among the elderly were recorded as 1,130,013.35 and 20,084.77, respectively. Although there were significant differences in the incidence and DALYs across countries, the number of incident cases increased from 1990 to 2021, with a slight rise in age-standardized rates, while the number and age-standardized rate of DALYs showed a declining trend. Decomposition analysis revealed that population growth and aging are the drivers of changes in incidence, while epidemiological changes somewhat offset the increases in DALYs driven by population growth. Low socio-demographic index countries bear a disproportionate burden of elderly AHE, although inequality gaps have narrowed over time. Notably, up to 2030, the number of incident cases and DALYs will continue increasing. The burden in elderly women was more pronounced than in men.

Conclusions: The burden of elderly AHE, as a major public health issue, remains substantial. While cross-country inequities have been alleviated over time, the pressure on lower socio-demographic index countries to control the disease remains high. AHE in elderly women requires further attention. This emphasizes the significant challenges faced in controlling and managing elderly AHE.

Background and aims: Epidemiological data on bacterial infections in cirrhosis in China remain limited. Therefore, we aimed to conduct a multicenter study to investigate the characteristics and outcomes of patients with cirrhosis and bacterial infections in China.

Methods: We retrospectively enrolled 1,438 hospitalized adult patients with cirrhosis and bacterial or fungal infections from 24 hospitals across China between January 2018 and September 2024. Data on demographics, clinical features, microbiology, treatment, and outcomes were collected.

Results: A total of 1,783 infection episodes were recorded, including 1,668 first infections and 115 second infections. Most infections were community-acquired (86.6%). Pneumonia was the most common infection type (26.7%), followed by spontaneous bacterial peritonitis (19.5%) and spontaneous bacteremia (14.1%). Among 754 pathogens isolated from 620 patients, Klebsiella pneumoniae (20.1%) was nearly as common as Escherichia coli (21.7%). Multidrug-resistant (MDR) organisms accounted for 41.0% of all isolates, with extended-spectrum β-lactamase-producing Escherichia coli being the most prevalent MDR strain (8.9% of patients). Adherence to empirical antibiotic treatment guidelines from the European Association for the Study of the Liver was significantly lower in this cohort compared to the global study (21.5% vs. 61.2%, P < 0.001), accompanied by a lower clinical resolution rate (63.5% vs. 79.8%, P < 0.001).

Conclusions: The clinical and microbiological characteristics of bacterial infections in patients with cirrhosis in China differ substantially from those reported in other regions. These findings highlight the need for region-specific management and prevention strategies, particularly in light of the changing microbiological landscape, high MDR prevalence, and suboptimal antibiotic practices.

Background and aims: Liver failure syndromes are characterised by a dysregulated immune response leading to immune paralysis. Adrenomedullin (ADM) is a potent vasodilator and immunoregulator. This study aimed to explore the role of ADM in liver failure, hypothesising that there is a detrimental imbalance between ADM and adrenomedullin binding protein (AMBP)1 that promotes a switch of monocytes/macrophages towards a pro-restorative phenotype and function.

Methods: Consecutive patients with acute liver failure (ALF), acute-on-chronic liver failure (ACLF), and decompensated cirrhosis, as well as healthy controls (HC) were included between April 2020 and June 2024. Peripheral blood mononuclear cells/monocytes were isolated and used for RNA sequencing and cell culture. ADM and AMBP1 were measured by enzyme-linked immunosorbent assay.

Results: Fifty-four patients with ALF, 25 with ACLF, 9 with decompensated cirrhosis, and 16 with HC were included. ADM expression in isolated monocytes was increased in ALF (log fold change = 5.88, p = 0.000216413) and ACLF (log fold change = 4.62, p = 0.00057122) compared to HC. Plasma ADM concentration was higher in ALF (1,684 ± 1,156 pg/mL) vs. ACLF (836.1 ± 765.2 pg/mL) and HC (164.8 ± 62.73 pg/mL). AMBP1 was significantly reduced in ALF (59.27 ± 44 µg/mL) vs. ACLF (126.3 ± 72.23 µg/mL) and HC (252.8 ± 159.7 µg/mL) (p < 0.0001, ALF vs. HC). Treatment with LPS increased ADM concentration in peripheral blood mononuclear cell supernatant (ALF n = 6; 561.4 ± 1,038 pg/mL vs. 259.2 ± 213.7 pg/mL, ACLF n = 4; 3,202 ± 491.2 vs. 1,757 ± 1,689 pg/mL). The percentage of CD14⁺ cells expressing Mer tyrosine kinase was reduced after culture with LPS (2.077 ± 0.87%); however, co-culture with ADM 100 nM restored the phenotype (3.852 ± 1.063%).

Conclusions: ADM is increased in liver failure, whereas AMBP1 is reduced. ADM affects monocyte function, increasing Mer Tyrosine Kinase and promoting a pro-restorative, anti-inflammatory phenotype.

Recent advancements in cancer immunotherapy have highlighted glypican-3 (GPC3) as a prominent target for treating hepatocellular carcinoma (HCC). However, approximately 10% to 30% of HCC patients exhibit low or absent GPC3 expression on the surface of tumor cells, which limits the feasibility of GPC3-targeted therapies. Consequently, it is essential for patients to undergo pre-diagnostic assessments of GPC3 expression in tumor cells to evaluate their suitability for GPC3-directed therapy. Although various methods have been developed to specifically detect GPC3 as a biomarker for treatment and prognosis, the diagnostic approaches currently employed in clinical studies remain relatively limited. Here, we provide a comprehensive overview of the clinical development of GPC3-targeted therapeutics, clinical trials in GPC3-positive HCC, and current methods for detecting GPC3 expression, highlighting their advantages and limitations. Furthermore, we explore the potential of integrating targeted therapy with various GPC3 detection modalities tailored to different pathological stages. This integration not only provides insights into the selection of effective methods for detecting GPC3 expression but also has the potential to significantly improve the clinical outcomes of patients with liver cancer. By simultaneously assessing the advantages and disadvantages of these methods, this review aims to establish a theoretical foundation for the clinical selection of appropriate GPC3 detection strategies for targeted therapy.