Steatotic liver disease (SLD) comprises metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-associated liver disease (MetALD), and alcohol-associated liver disease (ALD), which represent subclasses of liver disorders with overlapping etiologies. MASLD is defined as SLD with cardiometabolic dysfunction, whereas MetALD refers to MASLD with moderate alcohol consumption (140–350 g/week in females and 210–420 g/week in males). Despite being classified as distinct entities, MASLD and MetALD exhibit substantial phenotypic overlap, underscoring the need to delineate their pathological and molecular features and to develop models that capture the synergistic effects of alcohol and metabolic stress. Recent advances in multi-omic technologies have enabled integrated single-cell profiling of genetic, epigenetic, spatial, and proteomic features, providing high-resolution insights into cellular heterogeneity and disease mechanisms. In this review, we examine the pathophysiological landscape of SLD, highlight key distinctions between MASLD and MetALD, and discuss experimental models, including human liver spheroids. These approaches provide deeper insights into disease classification and accelerate the development of targeted therapies.
Yu Shi, Ruoqi Zhou, Seung Up Kim, Terry Cheuk-Fung Yip, Salvatore Petta, Elisabetta Bugianesi, Masato Yoneda, Manuel Romero-Gomez, Emmanuel Tsochatzis, Philip Newsome, Hannes Hagström, George Boon-Bee Goh, Wah-Kheong Chan, José-Luis Calleja, Jerome Boursier, Arun J. Sanyal, Jian-Gao Fan, Laurent Castera, Victor de Ledinghen, Michelle Lai, Xiao-Dong Zhou, Vincent Wai-Sun Wong, Ming-Hua Zheng, On behalf of VCTE-Prognosis Study Group
Received March 4, 2026 Accepted May 10, 2026 Published online May 20, 2026
Background & Aims Liver stiffness measurement (LSM) is a key tool for risk stratification in MASLD, yet static thresholds fail to capture dynamic transition across risk strata. We aimed to characterize LSM-risk transitions and develop a time-updated, individualized model for predicting state transitions, liver-related events and death (LREs/death).
Method In a real-world MASLD cohort, we applied a multi-state, time-homogeneous Markov model to quantify annual transition probabilities and mean state occupancy times across LSM-defined low-, intermediate-, and high-risk strata. A Markov model incorporating age, sex, type 2 diabetes (T2D), hypertension was used to generate individualized, time-updated risk trajectories and probabilities of LREs/death.
Results Among 11,514 MASLD individuals with ≥2 VCTE assessments, the low-risk category demonstrated notable stability, with 92% remaining unchanged at 1 year and a mean occupancy time of 8.43 years (95%CI:7.94-8.95). Contrarily the intermediate-risk category was highly dynamic, with only 39% remaining unchanged after 1 year and a mean occupancy time of 0.92 years (95%CI:0.88-0.96). T2D, hypertension, obesity substantially shorten low-risk occupancy time, whereas antidiabetic medication was associated with more favorable transitions. Finally, we developed a dynamic, multi-state Markov model (DYNAMO) integrating longitudinal LSM-defined risk states with relevant covariates to generate individualized predictions of state transitions and risks of LREs/death.
Conclusions LSM-based strata in MASLD represent distinct and meaningful dynamic trajectory. In particular, the marked instability of the intermediate-risk state supports more frequent reassessment. By quantifying transition pathways, and time-updated risks of LREs/death, this model may inform the personalized surveillance intervals and risk-adapted management.
A paradigm shift in fatty liver disease nomenclature has introduced steatotic liver disease (SLD) as an umbrella term, encompassing metabolic dysfunction–associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-related liver disease (MetALD), and alcohol-associated liver disease (ALD). These SLD subtypes exist along a dynamic continuum shaped by the synergistic interplay of metabolic dysfunction and alcohol exposure. Accumulating evidence indicates that SLD exhibits distinct outcome-based clusters reflecting heterogeneity in pathogenic drivers and clinical trajectories. Cardiometabolic clusters, most prominently observed in MASLD, are characterized by systemic metabolic dysfunction and confer increased risks of cardiovascular disease (CVD). In contrast, liver-specific clusters demonstrate progressive fibrosis and cirrhosis, hepatic decompensation, and hepatocellular carcinoma. In large-scale cohorts, CVD accounts for 40-50% of deaths in MASLD, while liver-related mortality predominates in ALD (>60%). The relative dominance of cardiometabolic versus liver-specific clusters shifts progressively across the MASLD-MetALD-ALD spectrum. While CVD remains a major driver of mortality, particularly in MASLD, hepatic outcomes increase stepwise with advancing fibrosis and greater alcohol exposure. Advanced fibrosis is the predominant shared determinant amplifying both CVD and hepatic risks across subtypes. This review synthesizes cardiovascular and hepatic outcome patterns across the MASLD-MetALD-ALD spectrum, highlighting the prognostic reorientation across the continuum, in which hepatic outcomes rise stepwise with alcohol exposure while cardiovascular risk remains an important but less subtype-differentiated burden. These findings advocate outcome-oriented risk stratification integrating noninvasive fibrosis assessment, alcohol biomarkers (PEth), and cardiovascular risk calculators within the Cardiovascular-Kidney-Metabolic framework. Understanding SLD as a modifiable continuum enables individualized management to optimize multisystem outcomes.
Metabolic dysfunction–associated steatotic liver disease (MASLD) has emerged as the most prevalent chronic liver disease worldwide and is closely linked to systemic metabolic disorders. In addition to their classical role in hemostasis, platelets are increasingly recognized as active regulators of inflammation and immune responses, yet their contribution to MASLD pathogenesis remains incompletely defined. This review synthesizes current knowledge on how metabolic disturbances and gut microbiota dysbiosis trigger platelet hyperactivation and intrahepatic recruitment. We examined the mechanisms by which activated platelets exacerbate steatosis, amplify inflammation through interactions with immune cells, promote fibrogenic remodeling through hepatic stellate cell activation, and contribute to hepatocarcinogenesis. In the context of MASLD-associated hepatocellular carcinoma, platelet involvement may occur through both inflammation/fibrogenic remodeling–mediated and direct tumor-regulatory mechanisms. Furthermore, the therapeutic potential of antiplatelet agents, particularly aspirin, in attenuating disease progression has been evaluated. We conclude that targeting platelet-related pathways may represent a promising therapeutic strategy to interrupt the interplay between metabolic dysfunction and liver injury in MASLD.
Metabolic dysfunction-associated steatotic liver disease (MASLD) has recently gained attention as a risk factor for primary liver cancer and extrahepatic cancers. Increasing evidence shows that MASLD creates a fibrotic, immunosuppressive tumor microenvironment that supports metastatic growth, making it a risk factor for liver metastasis from extrahepatic tumors, such as colorectal cancer. In steatotic liver, tumor-stromal interactions promote colorectal liver metastasis through several mechanisms, including extracellular vesicles enriched with oncogenic microRNAs, hyaluronan synthase 2-mediated hyaluronic acid production by activated hepatic stellate cells and cancer-associated fibroblasts, M2-polarized tumor-associated macrophage infiltration, and Yes-associated protein-dependent tumor signaling. In this review, we summarize key pathways involved in a pre- and pro-metastatic niche in the liver, such as extracellular vesicle-mediated intercellular communication, feed-forward loops between tumor cells and stromal fibroblasts, and hyaluronic acid-induced extracellular matrix remodeling and immune cell modulation, all of which impair antitumor immunity and promote immune escape. We also discuss how targeting hyaluronic acid synthesis, interleukin-1 signaling, or CXCR2 can restore antitumor immunity and improve responses to programmed cell death protein-1 blockade. These therapeutic approaches may offer promising benefits for patients with colorectal cancer liver metastasis.
Background/Aims Lenvatinib resistance and immune exclusion limit outcomes in HCC. We hypothesized that metabolic rewiring orchestrates resistance to lenvatinib and PD-1 blockade.
Methods We established LS/LR HCC models and employed multi-omics (proteomics/RNA-seq), ChIP, luciferase, and RIP assays to map HKDC1 regulation. Tumor immunity was profiled by scRNA-seq, mIHC, and flow cytometry. SPD + lenvatinib efficacy was tested in cell lines, patient-derived organoids/xenografts. Tested therapy effect in an immunocompetent hydrodynamic HCC model with hepatocyte-specific Hkdc1 deletion; and analyzed a postoperative cohort (n = 40) treated with lenvatinib + PD-1.
Results HKDC1, upregulated in LR HCC, was transcriptionally activated by USF1 and promoted SMS-mediated polyamine rewiring. This impaired CD8⁺ T-cell metabolism, reversible by HKDC1 knockdown or spermidine (SPD). SPD synergized with lenvatinib, triggering autophagy and suppressing tumor growth in vitro and in vivo. High HKDC1 predicted poor response and survival in patients receiving lenvatinib + aPD-1.
Conclusions A USF1/HKDC1/SMS axis couples polyamine metabolism to immune dysfunction and lenvatinib resistance. HKDC1 is a predictive biomarker and therapeutic node and support polyamine-axis modulation to sensitize HCC to lenvatinib plus PD-1 therapy.
Background/Aims Cholangiocarcinoma (CCA) is a primary malignant neoplasm with an extremely poor prognosis. While combined chemoradiotherapy has been demonstrated to delay CCA progression to a certain extent, the absence of specific molecular biomarkers or targets significantly hinders the diagnosis and treatment of CCA.
Methods Through cross-analysis of proteomics and ADMA modificationomics, we identified DDX1 overexpressed in CCA with elevated R602-ADMA modifications. HPLC-MS/MS identified PRMT1 as the methyltransferase and USP10 as the deubiquitinating enzyme for DDX1. Immunofluorescence and nuclear-cytoplasmic partitioning experiments confirmed DDX1’s nuclear localization. GO and KEGG analyses clarify the biological functions of DDX1 in response to hypoxia. RNA-seq transcriptomics analyzed key pathways influenced by DDX1. A hydrodynamic in situ CCA mouse model was established to validate the chemopreventive effects of the PRMT1-specific inhibitor GSK715 on CCA development.
Results DDX1 promotes CCA progression both in vivo and in vitro and can be inhibited by GSK715. Mechanistically, PRMT1 mediates ADMA modification at position R602 of DDX1. This modification promotes DDX1 nuclear localization by recruiting USP10 to deubiquitinate DDX1, while simultaneously inhibiting PRMT1 degradation. DDX1 promotes the transcription of PRMT1 and USP10 by binding to the mRNA 3’UTR region, establishing a positive feedback regulatory pathway. This mechanism promotes the occurrence and development of CCA and can serve as a target for the inhibitor GSK715 to suppress CCA progression.
Conclusions Our study identified DDX1-R602-ADMA modification as a novel ADMA modification in CCA. It further confirmed its pivotal role in CCA progression. Targeting the USP10-PRMT1-DDX1 axis may represent a significant therapeutic approach for CCA.
Background/Aims Dysregulated cholesterol metabolism is a hallmark of hepatocellular carcinoma (HCC) that drives tumor initiation and progression. However, clinical targeting of cholesterol metabolism has yielded limited benefits due to stringent feedback in tumor cells. Identifying a central mediator capable of restoring cholesterol homeostasis within the cell’s intrinsically fine-tuned regulatory framework is urgently needed.
Methods We integrated a proteomic dataset from patients with cholesterol-dysregulated HCC into a global cholesterol metabolic regulatory network to identify potential therapeutic targets for disrupted cholesterol homeostasis. The prognostic significance of the candidate targets was further validated in an independent cohort through immunohistochemistry. Functional and mechanistic studies were conducted in vitro using HCC cell lines and in vivo using mouse models. The pharmacological efficacy of the candidate agent was evaluated in both subcutaneous and orthotopic HCC mouse models.
Results ER lipid raft-associated 1 (ERLIN1), a pivotal regulator of cholesterol metabolism reprogramming, was identified as an independent favorable prognostic indicator in HCC. ERLIN1 constrains HCC progression both in vitro and in vivo by stabilizing the INSIG1–SCAP–SREBP2 axis and maintaining the metabolic balance of intracellular cholesterol. Under hypoxia, impaired factor-inhibiting hypoxia-1-dependent hydroxylation of ASB11 at asparagine residues 90 and 92 enhances ASB11-mediated ERLIN1 degradation. Pharmacological targeting of this axis using zoledronic acid (ZoA) attenuated HCC progression by weakening the ASB11–ERLIN1 interaction and restoring cholesterol homeostasis.
Conclusions ERLIN1 represents a druggable metabolic vulnerability in cholesterol-dysregulated HCC. Targeting the ASB11–ERLIN1 axis with the clinically approved ZoA reestablishes cholesterol homeostasis and offers a promising therapeutic strategy to overcome the current limitations of cholesterol-targeted HCC therapies.
Hyun Ahm Sohn, Hanyong Go, Tae Hyeon An, Jun Min Lee, Hee-Jin Kim, Keeok Haam, Amal Magdy, Hyo-Jung Jung, Yang-Ji Shin, Hyun Jung Lim, Yujin Jeong, Yejin Bae, Youngae Jung, Seong-Hwan Park, Kyung Chan Park, Myeong Jun Song, Eun-Wie Cho, Eun-Soo Kwon, Jeong Hwan Park, Murim Choi, Geum-Sook Hwang, Dong Hyeon Lee, Stefano Romeo, Kyoung-Jin Oh, Won Kim, Mirang Kim
Received September 25, 2025 Accepted January 23, 2026 Published online January 27, 2026
Background/Aims Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disease worldwide. Aberrant DNA methylation, which is primarily maintained by DNA methyltransferase 1 (DNMT1), has been linked to metabolic dysregulation; however, its contribution to MASLD pathogenesis remains poorly defined. This study aimed to elucidate the role of DNMT1-mediated methylation in transcriptional regulation during MASLD progression and to determine whether DNMT1 inhibition can reverse disease-associated epigenetic and transcriptional alterations.
Methods We conducted integrated analyses of the liver transcriptome (n = 131) and DNA methylome (n = 106) of patients with biopsy-proven MASLD. We evaluated the effect of DNMT1 inhibition with 5-aza-4′-thio-2′-deoxycytidine (Aza-TdC) on a diet-induced MASLD mouse model. Multiomics approaches, including DNA methylome profiling, lipidomics, bulk and single-nucleus RNA sequencing, and chromatin immunoprecipitation sequencing, were applied to elucidate the role of DNMT1-mediated DNA methylation in regulating pathogenic gene expression.
Results DNA methylome profiling revealed increased methylation variability associated with increased DNMT1 expression in MASLD patients. DNMT1 inhibition ameliorated dysregulated lipid metabolism by reducing hepatic triacylglycerol accumulation and inflammation. Aza-TdC treatment partially reversed MASLD-related hypermethylation of hepatocyte nuclear factor 4 alpha (HNF4α)- and peroxisome proliferator-activated receptor alpha (PPARα)-regulated genes, restoring their transcriptional activity. Notably, Aza-TdC reactivated the gluconeogenic enzyme-encoding gene phosphoenolpyruvate carboxykinase 1 (PCK1), which was hypermethylated and transcriptionally repressed in MASLD. Targeted DNA methylation of the PCK1 promoter using CRISPRoff confirmed the direct epigenetic regulation of PCK1 expression.
Conclusions Targeting DNMT1 may mitigate lipid dysregulation and inflammation by reversing hypermethylation and restoring HNF4α- and PPARα-dependent gene transcription, highlighting DNMT1 as a potential therapeutic target for MASLD.
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Sus scrofa domesticus reveals the genetic evolution of adaptive traits during early divergence Bohan Rong, Naiqi Niu, Wencheng Zong, Run Zhang, Xiaomei Ma, Na Zhang, Zhentong Shen, Yu Pang, Xu Lin, Di Liu, Yulong Yin, Longchao Zhang, Xiuqin Yang The Innovation Life.2026; : 100222. CrossRef
Hepatitis B virus (HBV) remains a major cause of chronic liver diseases, especially in the Asia-Pacific region. In recent decades, coinfection with hepatitis C virus (HCV) and coexistence with metabolic dysfunction-associated steatotic liver disease (MASLD) have emerged as significant clinical concerns among HBV-infected patients. Although global HBV vaccination programs and curative therapies for HCV have led to a marked decline in HBV/HCV coinfection, MASLD is rapidly becoming the predominant comorbidity due to the global surge in metabolic risk factors. HBV/HCV coinfection typically results in more severe liver damage, with unique challenges in antiviral treatment and risk of HBV reactivation post-HCV clearance. In contrast, HBV/MASLD overlap demonstrates complex metabolic-viral interactions that may influence viral replication, hepatitis B surface antigen seroclearance, fibrosis progression, and risk of hepatocellular carcinoma. This review critically compares the epidemiology, clinical outcomes, and management strategies of HBV patients with concurrent HCV or MASLD, while addressing current research gaps and proposing directions for future investigations.
Background/Aims Various expanded criteria (EC) for liver transplantation (LT) in patients with hepatocellular carcinoma (HCC) have been proposed to avoid the narrow nature of the Milan criteria (MC). To investigate which EC predicts more favorable outcomes in terms of overall survival (OS) and recurrence-free survival (RFS), we conducted a network meta-analysis (NMA).
Methods A database search was conducted on PubMed, Embase, and the Cochrane Library, to identify studies comparing OS and RFS between patients within the MC and those exceeding the MC but within the EC. Hazard ratios (HRs) were pooled using a random-effects NMA and validated in an in-house cohort of 1,008 LT recipients.
Results Among 22,466 articles identified, 35 studies with 45 pairwise comparisons were included in the NMA along with 8 different EC. The University of California San Francisco (HR, 1.43; 95% CI, 1.19–1.71), Up-to-Seven (HR, 1.50; 95% CI, 1.15–1.97), and Hangzhou criteria (HR, 1.69; 95% CI, 1.11–2.57) showed inferior OS to the MC. The MC ranked highest for both OS and RFS, followed by Metroticket 2.0 for OS and the Asan criteria for RFS. In the validation cohort, both Metroticket 2.0 and AFP model yielded more favorable HCC-specific mortality than other EC.
Conclusions Several EC, of which those of Metroticket 2.0 were the best, yielded comparable outcomes to the MC. AFP-based EC such as Metroticket 2.0 and AFP model appeared to be useful in both the NMA and the validation cohort, suggesting a potential role in identifying selected low-risk patients beyond the MC.
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Background/Aims Previous studies have identified a substantial degree of agreement between the non-alcoholic fatty liver disease (NAFLD) and metabolic dysfunction-associated steatotic liver disease (MASLD) populations, but the same notion may not apply to normal-weight patients with a lower cardiometabolic risk burden. This study aims to investigate the cardiometabolic risk factor (CMRF) distributions between normal-weight and overweight/obese MASLD, the agreement between historical NAFLD and MASLD, and to compare the risk of liver-related events (LREs) and all-cause mortality in normal-weight versus overweight or obese MASLD.
Methods This study included participants with steatotic liver disease (SLD) from five cohorts in China (Hong Kong), South Korea, and the United States. Participants were recruited from settings including both hospitals and communities. Individuals were classified into normal-weight and overweight/obese groups.
Results This study included 33,793 participants with SLD from five cohorts, of whom 20,893 and 20,701 patients met the diagnosis of NAFLD and MASLD, respectively. Normal-weight patients with NAFLD demonstrated a lower CMRF distribution compared to those with overweight/obese NAFLD. In the community-based cohorts, the proportions with 0 CMRF ranged from 9.0 to 26.7% among normal-weight NAFLD patients, representing the discrepancy between MASLD and NAFLD definitions. Compared with the overweight/obese MASLD, the normalweight MASLD had increased all-cause mortality (normal-weight vs. overweight/obese, 23.44 and 13.80 per 1,000 person-years; P<0.001) but not LREs (2.81 and 2.59 per 1,000 person-years; P=0.54) in the Hong Kong Clinical Data Analysis and Reporting System cohort.
Conclusions Normal-weight individuals with NAFLD demonstrated a lower distribution of CMRFs, resulting in the incomplete agreement between historical NAFLD and MASLD.
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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-1 RAs 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.
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Le Bich Hang Pham, Taeeung Kim, Seoyoung Kim, Yun Seok Kim, Jiyeon Kim, Kyeongseon Kim, Hyeonwoo Lim, Wan Seob Shim, Byoungmo Kim, So-Yeol Yoo, Jae-Young Lee, Murim Choi, Won Kim, Keon Wook Kang, Jeeyeon Lee
Clin Mol Hepatol 2026;32(1):318-338. Published online November 17, 2025
Background/Aims Ferroptosis, recently emerged as a new cell death modality characterized by iron-dependent peroxidation of lipids, has been explored in various diseases. However, detection of ferroptosis, particularly in chronic liver disease models, is hampered by the lack of universal ferroptosis markers and limited number of fluorescence sensors for in vivo ferroptosis.
Methods In this study, we developed TTM-4 as a highly sensitive near-infrared (NIR) fluorescent probe to detect ferroptosis.
Results TTM-4 exhibited turn-on fluorescence upon viscosity change, enabling visualization of lipid peroxidation (LPO) in ferroptotic hepatocytes and liver tissue samples with greater sensitivity than BODIPY 581/591 C11. Timelapse live-cell imaging of erastin-treated cells revealed real-time LPO dynamics involving cytosolic lipid droplets (cLDs), endoplasmic reticulum, and nuclear LDs in a chronological order. Further gene expression analysis of 216 liver tissue samples from the NCBI GEO database showed a significant increase in CIDEC concurrent with TTM-4 fluorescence during progression to metabolic dysfunction-associated steatotic hepatitis (MASH). TTM-4, with its low toxicity and turn-on NIR emission during ferroptosis, also enabled in vivo visualization of ferroptosis in liver injury and metabolic dysfunction-associated steatotic liver disease (MASLD) models.
Conclusions Our findings suggest that TTM-4 enables monitoring of ferroptosis in MASLD and would aid in early MASH diagnosis.
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Targeting ferroptosis to halt MASLD and MASH Fudi Wang Trends in Endocrinology & Metabolism.2026;[Epub] CrossRef
Joseph Rabbat, Boyu Yang, Hye Won Lee, Huapeng Lin, Emmanuel Tsochatzis, Salvatore Petta, Elisabetta Bugianesi, Masato Yoneda, Ming-Hua Zheng, Hannes Hagström, Jérôme Boursier, José Luis Calleja, George Boon-Bee Goh, Wah-Kheong Chan, Rocio Gallego-Durán, Arun J. Sanyal, Victor de Lédinghen, Philip N Newsome, Jian-Gao Fan, Laurent Castéra, Michelle Lai, Céline Fournier-Poizat, Grace Lai-Hung Wong, Mirko Zoncape, Grazia Pennisi, Angelo Armandi, Atsushi Nakajima, Wen-Yue Liu, Ying Shang, Marc de Saint-Loup, Elba Llop, Kevin Kim Jun Teh, Carmen Lara-Romero, Amon Asgharpour, Sara Mahgoub, Mandy Sau-Wai Chan, Clemence M Canivet, Manuel Romero-Gomez, Vincent Wai-Sun Wong, Seung Up Kim, Terry Cheuk-Fung Yip
Clin Mol Hepatol 2026;32(1):289-304. Published online November 11, 2025
Background/Aims Current guidelines recommend a 2-step approach for identifying advanced fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD), using Fibrosis-4 index (FIB-4) followed by liver stiffness measurement (LSM) via vibration-controlled transient elastography (VCTE). However, some patients may exhibit discordant results. This study evaluates the histological severity and outcomes in patients with discordant FIB-4 and LSM results.
Methods This secondary analysis of the VCTE-Prognosis study included 12,950 patients evaluated for MASLD at 16 tertiary centers, of whom 2,915 underwent liver biopsy. Patients were categorized into four groups based on established FIB-4 (1.3) and LSM (8 kPa) cutoffs.
Results F3–F4 fibrosis was observed in 6.4%, 13.7%, 30.6%, and 62.4% in low-FIB-4-low-LSM (n=6,403), high-FIB-4-low-LSM (n=3,017), low-FIB-4-high-LSM (n=1,363), and high-FIB-4-high-LSM (n=2,167) groups, respectively. During a median follow-up of 47.4 months, 248 patients experienced hepatic decompensation, hepatocellular carcinoma, liver transplantation, or liver-related death. The incidence rates of liver-related events (LREs) were 0.67, 1.19, 2.58, and 21.30 per 1,000 person-years, respectively. Compared to low-FIB-4-low-LSM patients, those with low-FIB-4-high-LSM (adjusted subdistribution hazard ratio [aSHR] 4.12) and high-FIB-4-high-LSM (aSHR 21.38) had a significantly higher risk of LREs, while high-FIB-4-low-LSM patients did not. Similar findings were observed when hepatic decompensation and hepatocellular carcinoma were analyzed separately.
Conclusions Approximately 30% of patients in tertiary centers exhibit discordant FIB-4 and LSM results, with LSM more likely reflecting true severity. While some patients with discordant results may have advanced fibrosis, the overall incidence of LREs remains low.
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Are FIB-4 and liver stiffness measurement interchangeable for HCC risk stratification in MASLD? Yimeng Zhou, Xue Meng JHEP Reports.2026; : 101852. CrossRef
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Background/Aims The first metabolic dysfunction-associated steatotic liver disease (MASLD) drug was approved with an unsatisfactorily small effect size. This study aimed to determine key factors impacting the cost-effectiveness of a new hypothetical MASLD drug as well as its treatment efficacy.
Methods A Markov model reflecting the natural history of MASLD was developed, incorporating fibrosis progression, cardiovascular disease risk, and mortality. Treatment effect of drug X (with $20,000 of annual cost) was assumed to achieve a ≥1 stage fibrosis regression, with a 25% gap of effect size in regression rate over non-treatment in the first year. The incremental cost-effectiveness ratio (ICER) over a 20-year horizon was estimated. And sensitivity analyses were conducted to explore uncertainty and identify influential factors.
Results In the base case analysis, drug X provided an incremental gain of 1.32 quality-adjusted life years (QALYs) and 1.20 life years compared to the non-treatment, with an ICER of $68,010/QALY–below the $100,000/QALY willingnessto- pay threshold, indicating that drug X treatment is cost-effective. Two-way sensitivity analysis further highlighted that the drug should achieve at least a 15% initial regression gap and maintain a minimum 3% sustained durability gap to remain cost-effective. In addition baseline fibrosis stage distribution also acted as an influencing factor.
Conclusions Long-term sustained durability of the hypothetical drug, patient distribution based on baseline fibrosis stage, as well as initial treatment response rate are key factors that influence the cost-effectiveness of new MASLD drugs.
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The MASLD Journey in the General Population: Linkage‐to‐Care and Patient‐Reported Uptake of Fibrosis Risk Assessment Joo Hyun Oh, Jun‐Hyuk Lee, Sang Bong Ahn, Eunjoo Kwon, Eileen L. Yoon, Hyo Young Lee, Seon Cho, Dae Won Jun Liver International.2026;[Epub] CrossRef
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.
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Mapping the genomic landscape of MASLD: A framework for molecular subtyping and precision hepatology Carlos José Pirola, Silvia Sookoian Med.2026; : 101131. CrossRef
Jiyi Choi, Moon Gyeong Yoon, Se Ha Jang, Geum Ok Baek, Hyun Sun Jung, Na-Rae Lee, Choong Hwan Lee, Ji Eun Han, Jae Youn Cheong, Jung Woo Eun, Soon Sun Kim
Clin Mol Hepatol 2026;32(1):239-257. Published online October 27, 2025
Background/Aims Gut microbiome plays a pivotal role in metabolic dysfunction-associated steatotic liver disease (MASLD) pathogenesis, yet, associated functional mechanisms and host responses of specific microbial species remain insufficiently characterized. This study investigated the Bacteroides eggerthii therapeutic effects on MASLD by integrating multi-omics analysis and experimental validation in a Western diet (WD)-induced mouse model.
Methods Candidate strains were identified using 16S rRNA gene sequencing of fecal samples from individuals with and without MASLD or obesity. B. eggerthii, a species significantly depleted in both groups, was selected for functional evaluation. Male C57BL/6J mice were fed a WD or WD supplemented with B. eggerthii (WD+B) for 12 weeks. Liver histology, serum biochemistry, fecal microbiome and metabolome profiling, and hepatic and intestinal transcriptomic analyses were performed. Anti-steatotic effects of B. eggerthii–derived metabolites were validated in vitro.
Results Bacteroides eggerthii supplementation significantly improved liver weight, inflammation, fibrosis, and steatosis in WD+B group compared to WD alone. PICRUSt-based LEfSe analysis revealed choloylglycine hydrolase activity enrichment in gut microbiota, and strain-specific qPCR confirmed colonization in mouse colon. Integrated transcriptomic analyses revealed lipid and bile acid signaling pathway restoration, including CD36, FXR, and FGF15. Untargeted metabolomics identified elevated 2-hydroxyisocaproic acid (HICA) as a strain-derived metabolite in feces and B. eggerthii culture supernatants. In vitro, HICA significantly reduced lipid accumulation in free fatty acid-induced steatosis models.
Conclusions Bacteroides eggerthii ameliorates MASLD via gut-liver axis modulation, including bile acid metabolism and hepatic lipid signaling. These underscore its therapeutic potential and highlight HICA as a novel microbiome-derived metabolite with anti-steatotic activity.
Metabolic dysfunction–associated steatotic liver disease (MASLD), formerly 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.
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Obesity, Metabolic Syndrome and MASLD in Children: Inflammation as the Missing Link—A Short Narrative Review Mihaela-Andreea Podeanu, Claudiu Marinel Ionele, Raluca Elena Sandu, Ion Rogoveanu, Mioara Desdemona Stepan, Carmen Elena Niculescu, Sergiu-Marian Cazacu, Ștefănița Bianca Vintilescu Life.2026; 16(2): 310. CrossRef
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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.
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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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