Evidence map›Paper›PMID 42191458›Full record

ReviewJournal of hepatology2026

EASL position paper on preclinical models of steatotic liver disease.

Suchira Gallage, Rui E Castro, Jennifer Estall, Ira Tabas, Quentin M Anstee, Dina G Tiniakos, Gyongyi Szabo, Jun Yu, Chantal Desdouets, Frank Tacke and 2 more

Abstract readConsensus StatementReview
In one paragraph

Review in Journal of hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Suchira GallageUniversity of Tübingen, Faculty of Medicine, Institute for Interdisciplinary Research on Cancer Metabolism and Chronic Inflammation, M3 Research Center for Malignome, Metabolome and Microbiome, Otfried-Müller-Straße 37, 72076 Tübingen, Germany; German Cancer Research Center (DKFZ), Division of Chronic Inflammation and Cancer, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany. Electronic address: Suchira.Gallage@med.uni-tuebingen.de.
Rui E CastroResearch Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, 1649-003 Lisbon, Portugal.
Jennifer EstallInstitut de recherches cliniques de Montréal (IRCM), Cardiometabolic Health Centre, Montreal, QC, Canada.
Ira TabasDepartment of Medicine and Digestive and Liver Disease Research Center, Columbia University Irving Medical Center, New York, NY 10032, USA.
Quentin M AnsteeTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK; Newcastle NIHR Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Dina G TiniakosTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK; Department of Pathology, Aretaieion Hospital, Medical School, National & Kapodistrian University of Athens, Athens, Greece.
Gyongyi SzaboDepartment of Medicine, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Jun YuInstitute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
Chantal DesdouetsCentre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université de Paris, Paris, France, Genomic Instability, Metabolism, Immunity and Liver Tumorigenesis Laboratory, Equipe Labellisée LIGUE 2023, Paris, France.
Frank TackeDepartment of Hepatology & Gastroenterology, Charité - Universitätsmedizin Berlin, Campus Virchow-Klinikum (CVK) and Campus Charité Mitte (CCM), Berlin, Germany.
Fiona OakleyNewcastle NIHR Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK; Newcastle Fibrosis Research Group, Bioscience Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Mathias HeikenwalderUniversity of Tübingen, Faculty of Medicine, Institute for Interdisciplinary Research on Cancer Metabolism and Chronic Inflammation, M3 Research Center for Malignome, Metabolome and Microbiome, Otfried-Müller-Straße 37, 72076 Tübingen, Germany; German Cancer Research Center (DKFZ), Division of Chronic Inflammation and Cancer, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany; Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumour Therapies", Eberhard-Karls University of Tübingen, Tübingen, Germany; Cluster of Excellence CMFI (EXC 2124) "Controlling Microbes to Fight Infections", University of Tübingen, Tübingen, Germany. Electronic address: Mathias.Heikenwaelder@med.uni-tuebingen.de.

Funding

The Organoid and Cell Culture CoreP30DK132710 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Robert F. Schwabe · 2022 to 2026
$7.2M
MicroRNAs in Alcoholic Liver Disease Administrative SupplementR01AA020744 · NIAAA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SZABO, GYONGYI · 2011 to 2023
$5.3M
TLR4 Signaling in alcoholic liver diseaseR01AA017729 · NIAAA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SZABO, GYONGYI · 2009 to 2021
$4.3M
Discovery of novel therapeutic targets for NASH through deep phenotyping of human knockouts and mechanistic studiesR01DK133694 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SALEHEEN, DANISH, TABAS, IRA A · 2022 to 2025
$2.6M
Innate immune dysregulation in alcohol-associated liver diseaseR01AA032418 · NIAAA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Gyongyi Szabo · 2025 to 2026
$1.4M
A Program Investigating New Concepts ofMacrophage Biology in Atherosclerosis and Atherosclerosis-MASH Cardiometabolic DiseaseR35HL183005 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ira A Tabas · 2026 to 2026
$1.2M
NHLBI NIH HHS R35 HL183005NIAAA NIH HHS R01 AA017729NIAAA NIH HHS R01 AA020744NIAAA NIH HHS R01 AA032418NIDDK NIH HHS P30 DK132710NIDDK NIH HHS R01 DK133694
6 · The paper itself

Abstract

Steatotic liver disease (SLD) comprises a heterogeneous group of liver diseases defined by pathological hepatic lipid accumulation with varying degrees of steatohepatitis and progressive fibrosis, which may culminate in cirrhosis and/or hepatocellular carcinoma. SLD encompasses metabolic dysfunction-associated steatotic liver disease (MASLD), formerly called non-alcoholic fatty liver disease (NAFLD); MetALD, describing patients with MASLD consuming moderately high amounts of alcohol; and alcohol-associated/related liver disease (ALD). In addition, SLD encompasses less common aetiologies, including drug-induced and monogenic causes, as well as cryptogenic disease, which lacks metabolic risk factors or an identifiable cause. As the leading cause of chronic liver disease worldwide, MASLD, including metabolic dysfunction-associated steatohepatitis (MASH), is a complex multisystem disorder associated with extrahepatic organ dysfunction. Consequently, MASLD has become a major focus of multidisciplinary research, driving innovation across hepatology, immunology, cardiometabolism, addiction medicine, nutrition, prevention, and beyond. Over the past two decades, a broad array of in vivo, in vitro, and ex vivo experimental models have been developed to recapitulate diverse aspects of SLD pathophysiology, genetics, inflammation, treatment response, and multi-organ crosstalk, substantially advancing mechanistic understanding and therapeutic development. However, the rapid expansion and heterogeneity of available models have also highlighted the need for improved categorisation, standardisation, and harmonisation in line with evolving disease definitions and clinical concepts. In this EASL position paper, we critically review and classify currently available experimental SLD models and propose key criteria required for their appropriate use across distinct SLD subtypes. These criteria encompass systemic and hepatic metabolism, cardiometabolic comorbidities, histopathology, immunopathology, and molecular features relevant to disease stage and aetiology. This position paper aims to guide informed model selection, promote consistent nomenclature, and enhance rigour and translational relevance in preclinical and experimental SLD research.

Indexed as

Disease Models, AnimalFatty LiverNon-alcoholic Fatty Liver DiseaseAnimalsHumansALDCirrhosisFibrosisMASHMASLDMetALDNAFLDNASHObesityPreclinical Mouse ModelsSLDType 2 Diabetes

Identifiers

PMID42191458
PMCPMC13718883

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.