ReviewFrontiers in medicine2026
The liver-muscle axis in metabolic dysfunction-associated steatotic liver disease: a narrative review and conceptual framework for body-composition phenotyping.
Review in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) exhibits substantial phenotypic heterogeneity, yet pathways centered on body mass index (BMI) and liver non-invasive tests (NITs) do not adequately identify reduced metabolic reserve, functional vulnerability, or the risk of treatment-related muscle loss. This review aims to delineate the conceptual boundaries among sarcopenic obesity (SO), non-obese sarcopenia, and myosteatosis; evaluate their mechanistic, histological, and prognostic relationships with MASLD; compare body-composition assessment tools; and propose a body composition risk characterization framework for future validation. A formal diagnosis of SO should not be based on a mechanical combination of BMI and a single muscle mass threshold, but should concurrently establish excess adiposity, impaired muscle function, and reduced skeletal muscle mass/quantity confirmed by body-composition assessment. Current evidence indicates that low muscle mass, low muscle strength, and myosteatosis are associated with metabolic dysfunction-associated steatohepatitis (MASH), liver fibrosis, and adverse outcomes, although observational associations remain influenced by reverse causation, physical activity, visceral adiposity, and disease stage. Compartment-specific apolipoprotein J (ApoJ/clusterin) signaling illustrates liver-to-muscle endocrine communication and context-dependent intrahepatic or remote-organ effects. We propose four muscle phenotypes: phenotype A, preserved muscle function/quantity without myosteatosis; phenotype B, isolated myosteatosis; phenotype C, abnormal muscle function and/or quantity without myosteatosis; and phenotype D, coexisting abnormalities in muscle function/quantity and myosteatosis. Excess adiposity is treated as an independent modifying axis, and phenotypes C or D are considered SO-related only when excess adiposity is independently confirmed and formal SO criteria are fulfilled, thereby avoiding the misclassification of non-obese sarcopenia as SO. The model is intended for validation in a multicenter prospective biopsy cohort using centrally reviewed, blinded liver histology as the reference for MASH and fibrosis, with its incremental value assessed beyond the fibrosis-4 index (FIB-4), vibration-controlled transient elastography (VCTE), the enhanced liver fibrosis (ELF) test, or magnetic resonance elastography (MRE). Body-composition assessment should complement rather than replace liver NITs, and the four-phenotype classification, selective clinical pathway, and dual liver-muscle endpoint framework remain conceptual, hypothesis-generating tools that require histological, longitudinal-outcome, and clinical-utility validation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.