Evidence mapPaperPMID 39653777Full record

ArticleNature medicine2024

Data-driven cluster analysis identifies distinct types of metabolic dysfunction-associated steatotic liver disease.

Violeta Raverdy, Federica Tavaglione, Estelle Chatelain, Guillaume Lassailly, Antonio De Vincentis, Umberto Vespasiani-Gentilucci, Sami F Qadri, Robert Caiazzo, Helene Verkindt, Chiara Saponaro and 22 more

Abstract read
In one paragraph

Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
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

83 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Thousandfold Expansion Microscopy.bioRxiv : the preprint server for biology · 2026
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  9. Integrating Fetuin-A and Lipid-Based Phenotyping as Markers of Cardiometabolic Risk in Subclinical Hypothyroidism.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2026
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23 more citing papers are in PubMed but not listed here.

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

32 authors.

Violeta Raverdy *Translational Research for Diabetes UMR 1190, University of Lille, Inserm, Institut Pasteur Lille, CHU Lille, Lille, France.ORCID 0000-0001-5754-2028
Federica Tavaglione *Operative Unit of Clinical Medicine and Hepatology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.ORCID 0000-0002-1720-4355
Estelle Chatelain *US 41 - UAR 2014 - PLBS Bilille, University of Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, F-59000, Lille, France.
Guillaume Lassailly *Department of Hepato-Gastroenterology CHU Lille, University of Lille, Inserm INFINITE-U1286, Lille, France.
Antonio De VincentisOperative Unit of Internal Medicine, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Umberto Vespasiani-GentilucciOperative Unit of Clinical Medicine and Hepatology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Sami F QadriDepartment of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0001-9313-9324
Robert CaiazzoTranslational Research for Diabetes UMR 1190, University of Lille, Inserm, Institut Pasteur Lille, CHU Lille, Lille, France.
Helene VerkindtTranslational Research for Diabetes UMR 1190, University of Lille, Inserm, Institut Pasteur Lille, CHU Lille, Lille, France.
Chiara SaponaroTranslational Research for Diabetes UMR 1190, University of Lille, Inserm, Institut Pasteur Lille, CHU Lille, Lille, France.
Julie Kerr-ConteTranslational Research for Diabetes UMR 1190, University of Lille, Inserm, Institut Pasteur Lille, CHU Lille, Lille, France.
Gregory BaudTranslational Research for Diabetes UMR 1190, University of Lille, Inserm, Institut Pasteur Lille, CHU Lille, Lille, France.
Camille MarciniakTranslational Research for Diabetes UMR 1190, University of Lille, Inserm, Institut Pasteur Lille, CHU Lille, Lille, France.
Mikael ChetbounTranslational Research for Diabetes UMR 1190, University of Lille, Inserm, Institut Pasteur Lille, CHU Lille, Lille, France.
Naima Oukhouya-DaoudTranslational Research for Diabetes UMR 1190, University of Lille, Inserm, Institut Pasteur Lille, CHU Lille, Lille, France.
Samuel BlanckULR 2694 METRICS: Évaluation des technologies de santé et des pratiques médicales, University of Lille, CHU Lille, F-59000, Lille, France.
Jimmy VandelUS 41 - UAR 2014 - PLBS Bilille, University of Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, F-59000, Lille, France.ORCID 0000-0003-0189-0220
Lisa OlssonWallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0001-9730-1915
Rima ChakarounWallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
Viviane GnemmiCancer Heterogeneity Plasticity and Resistance to Therapies, CANTHER-UMR9020-U1277 - CNRS, Inserm, CHU Lille, University of Lille, Lille, France.
Emmanuelle LeteurtreCancer Heterogeneity Plasticity and Resistance to Therapies, CANTHER-UMR9020-U1277 - CNRS, Inserm, CHU Lille, University of Lille, Lille, France.
Philippe LefebvreNuclear Receptors, Metabolic and Cardiovascular Diseases - U1011, University of Lille, Inserm, CHU Lille, Institut Pasteur Lille, Lille, France.
Joel T HaasNuclear Receptors, Metabolic and Cardiovascular Diseases - U1011, University of Lille, Inserm, CHU Lille, Institut Pasteur Lille, Lille, France.ORCID 0000-0002-0028-5988
Hannele Yki-JärvinenDepartment of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Sven FrancqueDepartment of Gastroenterology Hepatology, Antwerp University Hospital, Edegem, Belgium.ORCID 0000-0002-7527-4714
Bart StaelsNuclear Receptors, Metabolic and Cardiovascular Diseases - U1011, University of Lille, Inserm, CHU Lille, Institut Pasteur Lille, Lille, France.ORCID 0000-0002-3784-1503
Carel W Le RouxDiabetes Complications Research Centre, University College Dublin, Dublin, Ireland.ORCID 0000-0001-5521-5445
Valentina TremaroliWallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-9150-4233
Philippe MathurinDepartment of Hepato-Gastroenterology CHU Lille, University of Lille, Inserm INFINITE-U1286, Lille, France.
Guillemette MarotULR 2694 METRICS: Évaluation des technologies de santé et des pratiques médicales, University of Lille, CHU Lille, F-59000, Lille, France.
Stefano RomeoWallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden. stefano.romeo@wlab.gu.se.ORCID 0000-0001-9168-4898
François PattouTranslational Research for Diabetes UMR 1190, University of Lille, Inserm, Institut Pasteur Lille, CHU Lille, Lille, France. francois.pattou@univ-lille.fr.ORCID 0000-0001-8388-3766

Funding

Novo Nordisk Fonden (Novo Nordisk Foundation) NNF20OC0063883Novo Nordisk Fonden (Novo Nordisk Foundation) NNF23OC0082114
6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) exhibits considerable variability in clinical outcomes. Identifying specific phenotypic profiles within MASLD is essential for developing targeted therapeutic strategies. Here we investigated the heterogeneity of MASLD using partitioning around medoids clustering based on six simple clinical variables in a cohort of 1,389 individuals living with obesity. The identified clusters were applied across three independent MASLD cohorts with liver biopsy (totaling 1,099 participants), and in the UK Biobank to assess the incidence of chronic liver disease, cardiovascular disease and type 2 diabetes. Results unveiled two distinct types of MASLD associated with steatohepatitis on histology and liver imaging. The first cluster, liver-specific, was genetically linked and showed rapid progression of chronic liver disease but limited risk of cardiovascular disease. The second cluster, cardiometabolic, was primarily associated with dysglycemia and high levels of triglycerides, leading to a similar incidence of chronic liver disease but a higher risk of cardiovascular disease and type 2 diabetes. Analyses of samples from 831 individuals with available liver transcriptomics and 1,322 with available plasma metabolomics highlighted that these two types of MASLD exhibited distinct liver transcriptomic profiles and plasma metabolomic signatures, respectively. In conclusion, these data provide preliminary evidence of the existence of two distinct types of clinically relevant MASLD with similar liver phenotypes at baseline, but each with specific underlying biological profiles and different clinical trajectories, suggesting the need for tailored therapeutic strategies.

Indexed as

Diabetes Mellitus, Type 2Fatty LiverLiverAdultAgedCardiovascular DiseasesCluster AnalysisCohort StudiesFemaleHumansMaleMetabolic DiseasesMetabolomicsMiddle AgedObesityTranscriptome

Identifiers

PMID39653777
PMCPMC11645276

What Socratic holds

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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 Socratic graph.