Evidence map›Paper›PMID 33244884›Full record

ArticleJournal of cachexia, sarcopenia and muscle2021

Myosteatosis rather than sarcopenia associates with non-alcoholic steatohepatitis in non-alcoholic fatty liver disease preclinical models.

Maxime Nachit, Maxime De Rudder, Jean-Paul Thissen, Olivier Schakman, Caroline Bouzin, Yves Horsmans, Greetje Vande Velde, Isabelle Anne Leclercq

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 78 citations in OpenAlex.

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  17. Quantitative Assessment of Body Composition in Cirrhosis.Diagnostics (Basel, Switzerland) · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Maxime NachitLaboratory of Hepato-Gastroenterology, Institute of Experimental and Clinical Research, UCLouvain, Brussels, Belgium.ORCID 0000-0002-2333-9213
Maxime De RudderLaboratory of Hepato-Gastroenterology, Institute of Experimental and Clinical Research, UCLouvain, Brussels, Belgium.
Jean-Paul ThissenPole of Endocrinology, Diabetes and Nutrition, Institute of Experimental and Clinical Research, UCLouvain, Brussels, Belgium.
Olivier SchakmanInstitute of Neuroscience, UCLouvain, Brussels, Belgium.
Caroline BouzinIREC Imaging Platform, UCLouvain, Brussels, Belgium.
Yves HorsmansService d'Hépato-Gastro-Entérologie, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Greetje Vande VeldeDepartment of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Isabelle Anne LeclercqLaboratory of Hepato-Gastroenterology, Institute of Experimental and Clinical Research, UCLouvain, Brussels, Belgium.
KU Leuven · BECliniques Universitaires Saint-Luc · BEde Duve Institute · BEIMEC · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-alcoholic fatty liver (NAFL) disease (NAFLD) is the most common chronic liver disease in the world. While most subjects have 'inert' NAFL, a subset will progress to non-alcoholic steatohepatitis (NASH) and its life-threatening complications. A substantial body of literature supports that a low muscle mass, low strength, and/or muscle fatty infiltration (myosteatosis) are associated with NAFLD severity. Here, we evaluated the muscle compartment in NASH preclinical models to decipher the kinetics of muscle alterations in relation with liver disease progression.

methodsWe developed and validated a micro-computed tomography-based methodology to prospectively study skeletal muscle mass and density in muscle and liver (i.e. reflecting fatty infiltration) in a high-throughput and non-invasive manner in three preclinical NAFLD/NASH rodent models: fat aussie (FOZ) mice fed a high-fat diet (FOZ HF), wild-type (WT) mice fed a high-fat high-fructose diet (WT HFF), and WT mice fed a high-fat diet (WT HF). We compared them with WT mice fed a normal diet (WT ND) used as controls.

results-FOZ HF with fibrosing NASH had sarcopenia characterized by a reduced muscle strength when compared with WT HF and WT HFF with early NASH and WT ND controls (165.2 ± 5.2 g vs. 237.4 ± 11.7 g, 256 ± 5.7 g, and 242.9 ± 9.3 g, respectively, P 60; 0.001). Muscle mass or strength was not lower in FOZ HF, WT HF, and WT HFF with early NASH than in controls. Myosteatosis was present in FOZ HF with fibrosing NASH, but also in FOZ HF, WT HF, and WT HFF with early NASH (muscle density = 0.50 ± 0.02, 0.62 ± 0.02, 0.70 ± 0.05, and 0.75 ± 0.03, respectively, with P 60; 0.001 when compared with respective controls). Myosteatosis degree was strongly correlated with NAFLD activity score (r = -0.87, n = 67, P 60; 0.001). In multivariate analysis, the association between myosteatosis and NASH was independent from homeostatic model assessment of insulin resistance and visceral fat area (P 60; 0.05). Myosteatosis degree powerfully discriminated NASH from benign NAFL and normal liver (area under the receiver operating characteristic = 0.96, n = 67, P 60; 0.001).

conclusionsTaken together, our data support that there is no sarcopenia in obese mice with early NASH. In contrast, the severity of myosteatosis reflects on hepatocellular damage and inflammation during early NASH development. This observation prompts us to exploit myosteatosis as a novel non-invasive marker of NASH.

Indexed as

Non-alcoholic Fatty Liver DiseaseSarcopeniaAnimalsDiet, High-FatMiceX-Ray MicrotomographyMicro-CTMuscleMuscle densityMuscle fatMyosteatosisNAFLDObesitySarcopeniaSteatohepatitis

Identifiers

PMID33244884
PMCPMC7890270
OpenAlexW3106633636

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.