The overlapping epidemics of chronic viral hepatitis and metabolic dysfunction-associated steatotic liver disease (MASLD) present a complex challenge in modern hepatology. In chronic hepatitis B, a unique "steatosis paradox" emerges: while isolated hepatic steatosis provides a suppressive microenvironment that promotes hepatitis B viral clearance, the concomitant systemic cardiometabolic burden acts dose-dependently to drive fibrogenesis and hepatocellular carcinoma (HCC). Conversely, chronic hepatitis C and host metabolic dysfunctions exhibit synergistic destruction. Hepatitis C virus actively hijacks lipid metabolism and induces insulin resistance. Even after viral eradication via direct-acting antivirals, residual steatosis and glycemic abnormalities remain formidable drivers of HCC. Consequently, the traditional virocentric paradigm is no longer sufficient. Clinical management should pivot toward precision risk stratification and a multidisciplinary dual-target approach, equally prioritizing sustained viral suppression and aggressive metabolic remission. This review summarizes the divergent virus-MASLD interactions, optimal clinical strategies, current challenges and future opportunities.
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.
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) is a leading cause of hepatic decompensation and liver-related death, but most patients with MASLD do not develop these liver-related complications. Risk prediction and care pathways are crucial to identify which patients with MASLD are highest risk and link them to appropriate care. Risk prediction is usually done with blood-based algorithms such as Fibrosis-4 (FIB4), AST/platelet ratio index (APRI), and more recent scores such as steatotic-associated fibrosis estimator (SAFE) and LiverRisk Score. Second-line tests include Enhanced Liver Fibrosis (ELF) and imaging-based tests such as vibration-controlled transient elastography, shear wave elastography, or magnetic resonance elastography. We propose a consensus risk stratification care pathway that can be adapted for different clinical settings. We also discuss key needs to improve upon the state of the art: improving diagnosis/prognostic accuracy especially of blood-based models, optimizing calibration, and ensuring interpretability of predictive models. Finally, we discuss recent advances in clinical decision support systems including best practice advisories, dashboards, and dynamic guidelines. We highlight factors critical to clinical decision support systems including integration with existing systems and clinician workflows, minimizing additional burden to clinicians, provision of decision support and recommendations at the time/place of decision making, and continuous evaluation and local user involvement.
Christian Brion, Stephen Aurelien Hoang, Guangliang Wang, Faridodin Mirshahi, Jessie Ang, Matthew Ray Long, Zheng Zhu, Bhanu Sakhamuri, Molly Anderson Srour, Mohammad Shadab Siddiqui, Amon Asgharpour, David John Hayes, Neal Charles Foster, David William Salzman, Arun Jayant Sanyal
Clin Mol Hepatol 2026;32(2):706-720. Published online December 26, 2025
Background/Aims MicroRNA (miRNA) isoforms (isomiRs) broaden the regulatory landscape of canonical miRNAs, but their role in metabolic dysfunction-associated steatotic liver disease (MASLD) remains unknown. We aimed to characterize the hepatic isomiR landscape in MASLD and define their association with disease activity and fibrosis.
Methods Small RNA (sRNA) sequencing was performed on liver biopsies from 79 patients across the histological spectrum of MASLD. IsomiRs were annotated and quantified. Their association to disease activity and fibrosis score was assessed by differential expression, ordinal regression, and machine learning. Parallel mRNA sequencing and pathway enrichment were used to map isomiR–mRNA interactions and regulatory networks, which were validated against an independent dataset.
Results MiRNAs accounted for 75% of sRNAs in liver tissue, of which 67% were isomiRs. Across MASLD severity, 173 isomiRs correlated with disease activity and 58 with fibrosis stage. Key findings included a miR-122 isomiR uniquely targeting INSIG1 (cholesterol metabolism) and a miR-21 isomiR targeting PPARA and HMGCS2 (lipid and fibrosis pathways). Integration with mRNA data revealed 33 dysregulated pathways, including PPAR signaling, insulin resistance, and TGF-β response. Several novel isomiRs from miR-26b, let-7c, and miR-32 families were also linked to lipid metabolism and fibrosis progression.
Conclusions IsomiRs represent the majority of hepatic miRNAs and uncover novel regulatory networks masked by canonical miRNA analysis. These findings provide new insights into the molecular heterogeneity of MASLD, highlight candidate pathways driving disease progression, and identify potential biomarkers and therapeutic targets for precision hepatology.
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The Role of MicroRNAs in the Progression of Metabolic Dysfunction-associated Steatotic Liver Disease Jang Hyun Choi Journal of Digestive Cancer Research.2026; 14(1): 82. CrossRef
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Jonggi Choi, Daniel Fulop, Vy H. Nguyen, Eric Przybyszewski, Jiunn Song, Allison Carroll, Megan Michta, Erik Almazan, Tracey G. Simon, Raymond T. Chung
Clin Mol Hepatol 2026;32(1):305-317. Published online November 11, 2025
Background/Aims Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing cause of cirrhosis and its complications. Given its close association with type 2 diabetes mellitus (T2DM), evaluating whether sodium-glucose cotransporter-2 inhibitors (SGLT2is) can mitigate the progression of liver fibrosis is clinically important. We examined the association between SGLT2i use and liver fibrosis progression in patients diagnosed with MASLD and T2DM.
Methods We conducted a target trial emulation study using a retrospective, active comparator new-user design among adults with MASLD, T2DM, and low-to-intermediate Fibrosis-4 (FIB-4≤2.67) scores who initiated treatment with either SGLT2is or dipeptidyl peptidase-4 inhibitors (DPP-4is) at Mass General Brigham or Asan Medical Center from 2013 to 2023. The primary outcome was the progression to advanced fibrosis (FIB-4>2.67), confirmed on ≥2 occasions within 1 year. The secondary outcome was the development of major adverse liver outcomes (MALO), including incident cirrhosis, decompensation events, hepatocellular carcinoma, or liver transplantation.
Results Among 16,901 eligible patients, 2,571 propensity score-matched pairs were identified with balanced baseline characteristics. During follow-up (median, 3.7 years), fibrosis progression occurred at a rate of 3.46/100 personyears in SGLT2i users and 4.44 in DPP4i users. SGLT2i use was associated with a lower risk of fibrosis progression (HR 0.78, 95% CI 0.67–0.89; P<0.001). No significant difference in MALO incidence was observed. Subgroup analyses showed a consistent association among users of metformin, statins, and aspirin.
Conclusions SGLT2i use was associated with reduced risk of fibrotic progression compared to DPP4i use in adults with MASLD and T2DM.
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
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Background/Aims Metabolic dysfunction-associated steatotic liver disease (MASLD) may progress to liver inflammation, fibrosis, cirrhosis and hepatocellular carcinoma. So far, genome-wide association studies explain a small fraction of MASLD heritability.
Methods We sought to identify novel genetic determinants of MASLD by exploring interactions between genetic variants and body mass index (BMI). First, we examined genome-wide interactions with BMI for circulating alanine aminotransferase (ALT) levels using UK Biobank data. For identified loci, we next examined associations with hepatic proton density fat fraction (PDFF) in 35,146 independent UK Biobank participants. Associations with PDFF were replicated in four independent European cohorts, followed by a phenome-wide association study. Finally, we used human liver epigenomic maps and CRISPR/Cas9 experiments in vitro and in vivo to functionally characterize the CYP7A1 locus.
Results Thirteen loci interact with BMI for ALT (P<5E-8), including eight well-known genetic modulators of MASLD. Two loci—UBXN2B/CYP7A1 and GIPR—are additionally associated with PDFF. For the intronic rs34783010 in GIPR, the minor T allele is associated with lower BMI and higher HbA1c and liver triglyceride content in humans. The UBXN2B/CYP7A1 locus is associated with PDFF in four additional European cohorts. Epigenomic data and in vitro experiments in human liver cells prioritise rs10504255 and CYP7A1 as the functional effectors in this locus. Perturbation of CYP7A1 orthologues using CRISPR/Cas9 results in less liver fat in 10-day-old, metabolically challenged zebrafish larvae.
Conclusions A genome-wide single nucleotide polymorphism×BMI design fuelled identification of two MASLD genes: CYP7A1 and GIPR.
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