
Data-driven cluster analysis identifies distinct types of metabolic dysfunction-associated steatotic liver disease
Article, Open Access, Nature Medicine, Dec 09, 2024
This article on MASLD heterogeneity includes three co-authors from our lab; Rima Chakaroun, Lisa Olsson and Valentina Tremaroli.
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. This article investigates 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.
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.
To the article in Nature Medicine