Obesity and its related metabolic comorbidities, including type 2 diabetes, metabolic dysfunction-associated steatotic liver disease, and cardiovascular disease, are increasingly recognized as heterogeneous and multisystemic disorders. Despite the significant benefits in glycemic control and weight loss exhibited by GLP-1 receptor agonists (GLP-1RAs), their limitations have initiated the development of engineered multi-agonist therapies targeting additional nutrient-stimulated hormonal (NUSH) pathways. Dual and triple peptide-based co-agonists combining glucagon-like peptide-1 (GLP-1) with glucose-dependent insulinotropic polypeptide (GIP), glucagon, amylin, or peptide YY have demonstrated superior metabolic efficacy in preclinical and clinical studies. Tirzepatide (GLP-1/GIP dual agonist), CagriSema (GLP-1/amylin dual agonist), and retatrutide (GLP-1/GIP/glucagon triple agonist) have achieved unprecedented levels of weight loss and glycemic improvement, with certain agents also demonstrating hepatic, cardiovascular, and inflammatory benefits. Non-peptidyl oral GLP-1RAs, such as orforglipron, offer novel formulation strategies to enhance treatment accessibility and adherence. Multi-agonist incretin-based therapies represent a paradigm shift in the management of obesity and metabolic diseases. These agents offer broad clinical utility beyond glucose lowering by mimicking the pleiotropic hormonal responses observed after bariatric surgery. These therapies are poised to emerge as key components of precision metabolic medicine. This review article explores the mechanistic basis, pharmacological characteristics, and clinical data supporting the use of engineered NUSH-based peptide therapies for obesity and its related metabolic disorders, with particular emphasis on recent progress in the development and clinical application of dual and triple agonists.
The knowledge accumulated over the past two decades has revealed that the natural history of metabolic dysfunction-associated steatotic liver disease (MASLD) and the drivers of the disease severity are not only complex but also exhibit variation among patients. This intricate clinical scenario entails major therapeutic and management implications. In this review, we provide a comprehensive examination of recent advancements in our understanding of MASLD heterogeneity, drawing insights from multiomics and panomics studies.
The discussion herein explores the instrumental role of panomics in MASLD research, elucidating the potential for the identification of molecular subtypes that exhibit divergent survival outcomes or heterogeneous responses to various treatments. Furthermore, we provide insights into the challenges in addressing disease heterogeneity and potential solutions. Finally, the most advanced technological advancements and prospective research directions in the domain of MASLD research are delineated, with the objective of facilitating the implementation of personalized diagnosis and interventions.
Metabolic dysfunction-associated steatotic liver disease (MASLD), formally known as non-alcoholic fatty liver disease, has become the most common form of chronic liver disease in children. The spectrum of pediatric MASLD ranges from simple steatosis to steatohepatitis, fibrosis, cirrhosis, and in rare cases, hepatocellular carcinoma. Its pathogenesis involves a complex interplay among genetic, epigenetic, and environmental factors, along with alterations in the gut microbiota and its associated metabolites. Given the staggering prevalence and the distinct etiopathogenesis of pediatric MASLD, characterization of the gut microbiota and microbial products could facilitate the development of diagnostic tools and inform targeted therapeutic strategies. Current research on the gut microbiome in the context of pediatric MASLD is limited by small sample size, inadequate use of liver biopsy, methodological inconsistencies in sequencing, and confounding effects from metabolic comorbidities. In this review, we summarize clinical studies on alterations in the gut microbiota and microbial products (short-chain fatty acids, bile acids, and ethanol) that impact the pathogenesis of pediatric MASLD. We discuss the therapeutic potential of dietary modification, pharmacological treatments, and probiotics in improving disease progression by summarizing current clinical studies. Enhancing our understanding of the gut-liver axis may aid in the development of effective therapeutic strategies for pediatric MASLD.
Background/Aims Excessive lipid accumulation in hepatocytes is a critical cause of metabolic dysfunction-associated steatotic liver disease (MASLD) progression. Ankyrin repeat and SOCS box protein 3 (ASB3) is an E3 ubiquitin ligase that mediates diverse disease processes; however, the direct substrates of ASB3 in lipid metabolism and its role in MASLD remain unexplored.
Methods We generated ASB3 knockout mice fed a high-fat diet to induce MASLD. Oxygen consumption and fatty acid oxidation (FAO) were used to assess lipid metabolism. LC-MS/MS and IP were used to verify the ASB3 target protein. Correlation analysis was conducted on the cohort of MASLD patients vs. the control group.
Results Loss of the ASB3 E3 ubiquitin ligase in hepatocytes strengthens mitochondrial FAO, thereby influencing energy consumption to decrease triglyceride storage and lipid accumulation. Quantitative lysine ubiquitination proteomics revealed that ASB3 directly mediated the ubiquitin levels at two sites (K180 and K639) in carnitine palmitoyl transferase 1A (CPT1A), a rate-limiting enzyme of FAO, to induce CPT1A degradation. Moreover, both constitutive and hepatocyte-specific ASB3 knockout enhance FAO and delay lipid accumulation, liver steatosis, and MASLD progression in a CPT1A-dependent manner. Hepatic ASB3 deficiency also delays fibrosis in MASLD. Analysis of public databases and liver tissue samples from MASLD patients revealed that ASB3 was highly expressed in MASLD patients and was negatively correlated with CPT1A.
Conclusions Our study reveals the key roles of ASB3 in the development of MASLD and suggests a novel therapeutic potential for MASLD.
Mendelian randomization (MR), a powerful statistical tool for causal inference, has been widely applied in various fields of medical research, even extending to economics and psychology. In hepatology, MR has been utilized to identify risk factors and potential therapeutic targets for liver diseases, including metabolic dysfunction-associated steatotic liver disease, cholestatic and autoimmune liver diseases, and hepatobiliary cancer. MR can provide evidence of causation via associations between genetic variants, modifiable exposures and liver disease occurrence or outcomes, using large existing datasets. However, results from MR studies are sometimes scattered, biologically not plausible or even controversial between analyses, potentially reflecting a trend of inappropriate application of this method (e.g., inappropriate selection of genetic instruments, insufficient assessment of horizontal pleiotropy, compromised statistical power, and neglected genetic diversity among different populations), and thus hinder the translation of MR findings from bench to bedside. Assessing these critical issues and pinpointing bona fide evidence are essential but quite challenging for clinicians. In this review, we aim to introduce the MR method to hepatologists and provide a comprehensive overview of the current MR findings that are relevant for hepatologists. Furthermore, we will discuss how to evaluate the quality of MR publications, interpret MR findings, and illustrate good practice of using MR studies in hepatology.
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Background/Aims Information about the association of glucagon-like peptide-1 receptor (GLP-1RA) with liver and non-liver complications is insufficient in patients with type 2 diabetes (T2D) and metabolic dysfunction-associated steatotic liver disease (MASLD). We conducted a target trial emulation study to evaluate whether GLP-1RA decreases the risk of liver and non-liver outcomes.
Methods Patients with T2D and MASLD initiating GLP-1RA or dipeptidyl peptidase-4 inhibitor (DPP-4i) were included from 2013 to 2022 in Merative™ Marketscan® Research Databases. Primary outcomes included incidences of (1) hepatocellular carcinoma (HCC) and cirrhosis, and (2) cardiovascular disease (CVD), chronic kidney disease (CKD), and non-liver cancer. Inverse probability of treatment weighting was applied to balance baseline characteristics and Cox regression models were conducted to estimate hazard ratio (HR) and 95% confidence interval (CI).
Results In the intention-to-treat design, GLP-1RA, compared with DPP-4i, had a significantly lower incidence (per 1,000 person-years) of HCC (0.8 vs. 1.7; HR 0.53, 95% CI 0.39–0.71), of cirrhosis (29.3 vs. 32.9; HR 0.91, 95% CI 0.86–0.96), of CVD (57.2 vs. 73.9; HR 0.90, 95% CI 0.86–0.95), of CKD (4.5 vs. 6.8; HR 0.73, 95% CI 0.64–0.84), and of non-liver cancer (16.9 vs. 22.9; HR 0.82, 95% CI 0.77–0.89). In the per-protocol design, significant inverse associations for these study outcomes still were observed, with HR 0.60–0.77.
Conclusions In this emulated target trial of nationwide patients with T2D and MASLD, GLP-1RA use, when compared with DPP-4i, was associated with a significantly lower risk of liver and non-liver complications.
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Background/Aims Berberine ursodeoxycholate (HTD1801) has been shown to significantly reduce liver fat content (LFC) in an 18-week, placebo-controlled Phase 2 study in patients with metabolic dysfunction-associated steatohepatitis (MASH) and type 2 diabetes mellitus. The purpose of this assessment was to establish proof of concept in liver histologic improvement with HTD1801 treatment based on preclinical and clinical evidence.
Methods The efficacy of HTD1801 was evaluated in a preclinical MASH/dyslipidemia model (golden hamsters fed a high fat diet, eight/group) after six weeks of daily treatment. Additionally, in a secondary analysis of a Phase 2 clinical study, 100 patients with presumed MASH were evaluated by multiple noninvasive markers associated with MASH resolution and/or fibrosis improvement. These include magnetic resonance imaging proton density fat fraction (MRIPDFF; ≥30% LFC reduction), iron-corrected T1 (≥80 ms reduction), alanine aminotransferase (≥17 U/L reduction), weight loss (≥5% reduction), Fibrosis-4 index (shift to <1.3), and MASH resolution index (achieving ≥–0.67).
Results Preclinical findings in the MASH/dyslipidemia hamster model showed that HTD1801 significantly improved histologic fibrosis and the Nonalcoholic Fatty Liver Disease Activity Score to such a degree that improvements approximated the appearance of the normal controls. In the clinical study, 52% of HTD1801-treated patients achieved MRI response criteria compared to 24% of placebo (p<0.05). Dose-dependent improvements were observed across biomarkers, with more HTD1801-treated patients achieving response criteria associated with improvements in the histologic features of MASH.
Conclusions These findings suggest that HTD1801 has strong potential to produce histological improvements in patients with MASH.
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Background/Aims Hepatocellular carcinoma (HCC) is a highly heterogeneous disease, and abnormal MET expression plays a crucial role in its progression. However, the specific pathogenic mechanisms of MET in HCC have yet to be fully elucidated. This study aimed to uncover the oncogenic mechanisms of MET in HCC and explore potential therapeutic implications.
Methods Transcriptomic data from the HTVi MET/β-catenin HCC model and GSEA results from TCGA LIHC cohorts were analyzed to identify key genes in HCC development. In vitro assays and in vivo models were used to investigate the role of TRIB3 in HCC progression. Immunofluorescence, co-IP, qRT-PCR, and WB revealed target genes regulated by TRIB3. An AAV8-shTRIB3 construct was developed and we assessed its therapeutic potential.
Results MET promoted HCC development both in vitro and in vivo by upregulating the oncogenic protein TRIB3. Mechanistically, MET transcriptionally activated TRIB3 via the ERK/SP1 axis. TRIB3 then recruited the E3 ubiquitin ligase COP1, which facilitated the ubiquitination and degradation of the tumor suppressor transcription factor FOXO1. TRIB3-mediated FOXO1 ubiquitination upregulated the expression of MET, CCND1 and TWIST1. In clinical HCC samples, TRIB3 expression was correlated with MET and FOXO1 levels. Liver-specific knockdown of TRIB3 by AAV8-shTRIB3 significantly inhibited MET-driven HCC development.
Conclusions Our results revealed that TRIB3 and COP1 act as key mediators in MET-driven HCC progression. Targeting the MET-TRIB3-FOXO1 regulatory axis may offer a promising therapeutic strategy to counteract oncogenic signaling and impede HCC advancement.
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Background/Aims Recently, the Korean Association for the Study of the Liver (KASL) introduced a noninvasive test-based approach that uses the fibrosis-4 (FIB-4) index followed by vibration-controlled transient elastography (VCTE) to identify high-risk patients with metabolic-associated steatotic liver disease (MASLD). In this study, the KASL two-step approach was validated by assessing the risk of liver-related event (LRE) development.
Methods We retrospectively analyzed 8,131 patients with MASLD who underwent VCTE between 2012 and 2020. The index date was defined as the date of the VCTE measurement. Using the KASL two-step approach (FIB-4 index and subsequent VCTE), patients were stratified into four groups (low-, intermediate-low-, intermediate-high-, and high-risk groups). Outcomes, including LREs such as decompensation (DCC) or hepatocellular carcinoma (HCC) were evaluated.
Results During the follow-up (median 46.6 months), 86 (1.1%) patients developed LREs (39 [0.5%] with DCC and 47 [0.6%] with HCC). The KASL two-step approach classified 67.6%, 17.7%, 5.7% and 9.0% of patients in the low-, intermediate-low-, intermediate-high-, and high-risk groups, respectively. The cumulative incidences of LREs increased proportionally according to risk stratification (0.07%, 0.10%, 0.29%, and 1.51% at 3 years and 0.35%, 0.26%, 1.94% and 5.46% at 5 years). The overall accuracy in predicting LREs ranged from 67.7–99.8%. The FIB-4 index and subsequent Agile3+, Agile 4, or FibroScan aspartate aminotransferase scores showed similar predictive abilities compared to the KASL approach.
Conclusions The KASL two-step approach is an effective and practical method for risk stratification in patients with MASLD, optimizing patient care through early identification of high-risk individuals.
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Metabolic dysfunction-associated steatotic liver disease, formerly referred to as non-alcoholic fatty liver disease, is the most common liver disease in Western countries and has emerged as the leading indication for liver transplantation. Metabolic dysfunction-associated steatohepatitis (MASH), a more advanced stage, carries a high risk of progression to liver fibrosis, cirrhosis, liver failure, and hepatocellular carcinoma. Until recently, lifestyle intervention remained the mainstay of MASH management, with no pharmacological treatments specifically approved. However, advances in understanding its pathophysiological mechanisms have fueled numerous clinical trials, culminating in the Food and Drug Administration’s (FDA) approval of resmetirom as the first treatment for MASH in 2024. Additionally, many investigational drugs are nearing FDA approval or progressing through late-stage clinical trials. This review examines the current therapeutic landscape, highlights strategies for identifying patients suitable for liver-directed therapies in real-world settings, and discusses the challenges that remain.
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Background/Aims Given the increase in prevalence of metabolic diseases, we investigated their long-term impacts on the outcomes of chronic hepatitis B (CHB) patients receiving nucleos(t)ide analogue (NA) treatment.
Methods We analyzed data from CHB patients for whom initiated NA treatment from 30 centers. We balanced patient characteristics with and without metabolic disease (diabetes, obesity, dyslipidemia, and hypertension) via propensity-score matching (PSM) to evaluate adverse outcomes.
Results The study included 4,500 patients. PSM yielded 909 pairs of patients with balanced characteristics. When stratified by the number of metabolic diseases, only patients with ≥2 metabolic diseases had an increased cumulative incidence of cirrhosis and overall death. However, when stratified by the presence of diabetes (regardless of the presence or number of other metabolic diseases), patients with diabetes (versus those without) had a significantly higher cumulative incidence of all outcomes: cirrhosis (P=0.009), hepatocellular carcinoma (HCC, P=0.023), and overall, liver-related, and non-liver-related death (P<0.001, P=0.026 and P<0.001, respectively). Having ≥2 metabolic diseases was associated with cirrhosis, overall death, and non-liver-related death but not HCC or liver-related death, while diabetes was significantly associated with a higher risk of all outcomes: cirrhosis (hazard ratio [HR]=3.75, P=0.004), HCC (HR=2.02, P=0.020), and overall, liver-related, and non-liver-related death (HR=2.53, P<0.001; HR=2.65, P=0.016; HR=2.38, P<0.001).
Conclusions Having two or more metabolic diseases was associated with a higher risk of cirrhosis, overall death, and non-liver-related death, but having diabetes as a single metabolic disease was significantly associated with all adverse outcomes including cirrhosis, HCC, and overall, liver-related, and non-liver-related death.
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Methods Comprehensive RNA/DNA sequencing, immunohistochemistry, and radiological evaluations were performed on HCC tissues from the training cohort (n=136) and validated in 916 public samples. HCC was classified using hierarchical clustering and compared with previous molecular, histopathological, and hemodynamic classifications.
Results Liver-specific metabolism and glycolysis are mutually exclusive and were divided into two major subclasses: The “rich metabolism” subclass (60.3%) is characterized by enhanced bile acid and fatty acid metabolism, wellto-moderate differentiation, microtrabecular or pseudoglandular pattern, and homogeneous arterial-phase hyperenhancement (APHE), corresponding to Hoshida S3 with favorable prognosis. In IL6-JAK-STAT3-high (25.0%) conditions, upregulated ALB expression, enhanced gluconeogenesis and urea cycle activity, and an inflammatorymicroenvironment are observed. Conversely, the Wnt/β-catenin-high environment (19.9%) features elevated GLUL, APOB and CYP3A4 expression, frequent CTNNB1 (D32–S37) mutations, and an immune-desert/excluded phenotype. The “glycolysis” subclass (39.7%), characterized by histopathological dedifferentiation and downregulated liver-specific metabolism, encompasses subclasses with PI3K/mTOR (20.6%) and NOTCH/TGF-β (19.1%) signaling. These often exhibit TP53 mutations, macrotrabecular massive or compact patterns, inhomogeneous/rim-APHE, and high expression of hypoxia-inducible factors and glucose transporters, corresponding to Hoshida S1/2 with poor prognosis.
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Clin Mol Hepatol 2025;31(3):914-934. Published online February 6, 2025
Background/Aims Hepatocellular carcinoma (HCC) is characterized by high recurrence and mortality, necessitating the identification of reliable biomarkers. In this study, we aimed to identify the predictive gene signatures for HCC recurrence and evaluate the efficiency of GULP PTB domain-containing engulfment adaptor 1 (GULP1) as a predictive and diagnostic marker and therapeutic target for HCC.
Methods We analyzed genomic datasets from The Cancer Genome Atlas and Gene Expression Omnibus databases via least absolute shrinkage and selection operator Cox regression and 10-fold cross-validation, leading to the development of a 15-gene risk score model, which was validated using three independent datasets. Serum GULP1 and α-fetoprotein levels were assessed to determine the diagnostic accuracy of the model. Using clinical cohorts and patient sera, GULP1 roles were examined, and functional assays in vitro and in vivo were used to evaluate its effects on cell growth, epithelial–mesenchymal transition (EMT), ADP-ribosylation factor 6 (ARF6) activation, and β-catenin signaling.
Results Our newly developed risk-score model accurately predicted recurrent HCC in all datasets. Among the 15 genes in the risk score model, GULP1 was overexpressed in patients with HCC and independently predicted HCC recurrence. Its expression modulation influenced cell growth and EMT, with observed effects on ARF6 activation and β-catenin signaling pathways.
Conclusions GULP1 is a crucial biomarker for HCC, serving as a non-invasive diagnostic and predictive tool. It also plays key roles in HCC progression. Our findings highlight the potential use of GULP1 in treatment strategies targeting EMT and HCC recurrence to improve the personalized care and patient outcomes.
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Background/Aims Hepatitis B virus (HBV) hijacks host cell metabolism, especially host glutamine metabolism, to support its replication. Glutamate dehydrogenase 1 (GDH1), a mitochondrial enzyme crucial for glutamine metabolism, can interact with histone demethylases to regulate gene expression through histone methylation. However, the mechanisms underlying GDH1-mediated glutamine metabolism reprogramming and the roles of key metabolites during HBV infection remain unclear.
Methods Transcriptomic and metabolomic analyses of HBV-infected cell were performed. Both HBV-infected cells and humanized liver chimeric mice were used to elucidate the effect of glutamine metabolism on HBV.
Results HBV infection leads to the abnormal activation of glutamine metabolism, including upregulation of key enzymes and metabolites involved in glutamine metabolism. The viral core protein (HBc) mediates the translocation of GDH1 into the nucleus, where GDH1 activates covalently closed circular DNA (cccDNA) transcription by converting glutamate to α-ketoglutarate (αKG). Mechanistically, the promoting effect of GDH1-derived αKG on cccDNA transcription is independent of its conventional role. Rather, αKG directly interacts with the lysine-specific demethylase KDM4A and enhances KDM4A demethylase activity to regulate αKG-dependent histone demethylation, controlling cccDNA transcription.
Conclusions Our findings highlight the importance of glutamine metabolism in HBV transcription and suggest that glutamine deprivation is a potential strategy for silencing cccDNA transcription.
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Background/Aims Hepatocellular carcinoma (HCC) exhibits high de novo recurrence rates post-resection. Current post-surgery recurrence prediction methods are limited, emphasizing the need for reliable biomarkers to assess recurrence risk. We aimed to develop methylation-based markers for classifying HCC patients and predicting their risk of de novo recurrence post-surgery.
Methods In this retrospective cohort study, we analyzed data from HCC patients who underwent surgical resection in Korea, excluding those with recurrence within one year post-surgery. Using the Infinium Methylation EPIC array on 140 samples in the discovery cohort, we classified patients into low- and high-risk groups based on methylation profiles. Distinctive markers were identified through random forest analysis. These markers were validated in the cancer genome atlas (n=217), Validation cohort 1 (n=63) and experimental Validation using a methylation-sensitive high-resolution melting (MS-HRM) assay in Validation cohort 1 and Validation cohort 2 (n=63).
Results The low-risk recurrence group (methylation group 1; MG1) showed a methylation average of 0.73 (95% confidence interval [CI] 0.69–0.77) with a 23.5% recurrence rate, while the high-risk group (MG2) had an average of 0.17 (95% CI 0.14–0.20) with a 44.1% recurrence rate (P<0.03). Validation confirmed the applicability of methylation markers across diverse populations, showing high accuracy in predicting the probability of HCC recurrence risk (area under the curve 96.8%). The MS-HRM assay confirmed its effectiveness in predicting de novo recurrence with 95.5% sensitivity, 89.7% specificity, and 92.2% accuracy.
Conclusions Methylation markers effectively classified HCC patients by de novo recurrence risk, enhancing prediction accuracy and potentially offering personalized management strategies.