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Liver Disease Diagnosis and Treatment / Liver Diseases and Immunity · Journal article
Livers · September 4, 2026
Raises a question worth testing. It does not answer one.
This is a narrative review proposing a mechanism-oriented framework for selecting appropriate experimental models in MASH research. It argues that model choice should be guided by the dominant biological mechanism under investigation (e.g., bile acid–microbiota–macrophage axis, spontaneous HCC development, metabolic imbalance) rather than phenotypic similarity alone, and categorizes representative systems including the iHFC diet, TSOD, and TSNO mice within this triadic framework.
Journal article. Experimental systems and models used in MASH and hepatocellular carcinoma research; no human subjects studied..
iHFC diet provides a reproducible platform for interrogating the bile acid–microbiota–macrophage axis in fibro-inflammatory progression TSOD mice represent a system in which spontaneous MASH–HCC development can emerge under chronic metabolic imbalance without engineered oncogenic triggers TSNO mice serve as a controlled background for dissecting bile acid-dependent susceptibility
Source does not report efficacy, safety, or translational validation metrics for any model or intervention
This review provides guidance for preclinical researchers selecting animal models to interrogate specific mechanistic pathways in MASH. Clinicians and translational scientists may use this framework to interpret mechanistic studies and understand which experimental systems address their specific questions about disease pathogenesis.
This is a mechanistic review proposing a framework for model selection in MASH research; it raises questions about which experimental systems best interrogate specific biological pathways rather than testing a defined clinical hypothesis with empirical data.
This review provides guidance for preclinical researchers selecting animal models to interrogate specific mechanistic pathways in MASH. Clinicians and translational scientists may use this framework to interpret mechanistic studies and understand which experimental systems address their specific questions about disease pathogenesis.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
What is missing. This record has no reported figures. That is a gap in the analysis, not a judgement about the study.
Metabolic dysfunction-associated steatohepatitis (MASH) represents a systems-level disorder driven by the interplay of metabolic stress, bile acid dysregulation, gut microbiota remodeling, and immune activation. Because no single experimental platform recapitulates the full spectrum of human disease—from steatosis and fibrosis to spontaneous hepatocellular carcinoma (HCC)—model selection must be guided by the dominant biological mechanism under investigation rather than by phenotypic similarity alone. This review proposes a mechanism-oriented framework for model selection, illustrated by representative experimental systems, including the intensified high-fat/high-cholesterol diet supplemented with cholate (iHFC diet) and Tsumura–Suzuki obese diabetic (TSOD) and non-obese (TSNO) mouse models. The iHFC diet provides a reproducible platform for interrogating the bile acid–microbiota–macrophage axis in fibro-inflammatory progression, whereas TSOD mice represent a valuable system in which spontaneous MASH–HCC development can emerge under chronic metabolic imbalance without engineered oncogenic triggers. TSNO mice serve as a controlled background for dissecting bile acid-dependent susceptibility. We further integrate hepatocyte mitochondrial dysfunction, immune remodeling, and stellate cell activation into this triadic framework and position additional diet-induced, genetic, and in vitro models within a complementary translational landscape. Together, this mechanism-centered framework provides a practical roadmap for rational model selection and enhanced translational precision in MASH and metabolic hepatocarcinogenesis research.
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