Data-driven cluster analysis identifies distinct types of metabolic dysfunction-associated steatotic liver disease
Inserm · Université de Lille · +24 more institutions
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…
Citation impact
- FWCI
- 42.69
- Percentile
- 100%
- References
- 67
Authors
32- VRVioleta RaverdyCorresponding
Inserm, Université de Lille, Institut Pasteur de Lille, Centre Hospitalier Universitaire de Lille, Recherche translationnelle sur le diabète
- FTFederica Tavaglione
Università Campus Bio-Medico, Agostino Gemelli University Polyclinic, Campus Bio Medico University Hospital
- ECEstelle Chatelain
Centre National de la Recherche Scientifique, Inserm, Université de Lille, Institut Pasteur de Lille, Centre Hospitalier Universitaire de Lille
- GLGuillaume Lassailly
Inserm, Université de Lille, Centre Hospitalier Universitaire de Lille, Lille Inflammation Research International Center, Institute for Translational Research in Inflammation
- ADAntonio De Vincentis
Università Campus Bio-Medico, Agostino Gemelli University Polyclinic, Campus Bio Medico University Hospital
Topics & keywords
- Steatohepatitis
- Disease
- Fatty liver
- Type 2 diabetes
- Medicine
- Liver disease
- Internal medicine
- Diabetes mellitus
Funding
- SLSuomen Lääketieteen Säätiö
- YJYrjö Jahnssonin Säätiö
- UDUniversité de Lille
- EGEuropean Genomic Institute for DiabetesAward: ANR-10-LABX-0046
- ANAgence Nationale de la RechercheAwards: 16-RHUS-0006, ANR-10-LABX-0046, ANR-10, ANR-16-RHUS-0006
- CCancerfonden
- BHBiomedicum Helsinki-säätiö
- KOKnut och Alice Wallenbergs StiftelseAwards: KAW 2017.0203, 2017.0203
- VVetenskapsrådet
- EAEmil Aaltosen Säätiö
- OTOrionin Tutkimussäätiö
- NNNovo Nordisk FondenAward: NNF20OC0063883
- CHCentre hospitalier régional universitaire de Lille