Lipids & metabolic liver disease
Data-driven cluster analysis identifies distinct types of metabolic dysfunction-associated steatotic liver disease
Authors' conclusion
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
Study context
- Population
- Individuals living with obesity (derivation cohort); three independent MASLD cohorts with liver biopsy; UK Biobankderivation cohort
- Participants
- 1,389 individuals
- Comparison
- Liver-specific vs cardiometabolic MASLD clusters
- Outcome
- MASLD types identified by clustering on six simple clinical variables
Methodological detailsdata-driven, partitioning around medoids clustering, validation in three independent biopsy cohorts and UK Biobank, Clusters applied across three independent MASLD biopsy cohorts (1,099 participants) and UK Biobank
- Data-driven
- Partitioning around medoids clustering
- Validation in three independent biopsy cohorts and UK Biobank
- Clusters applied across three independent MASLD biopsy cohorts (1,099 participants) and UK Biobank
Performance
As reported in the abstract
- Two distinct types of MASLD associated with steatohepatitis on histology and liver imaging
- Liver-specific cluster: genetically linked, rapid progression of chronic liver disease, limited CVD risk
- Cardiometabolic cluster: similar incidence of chronic liver disease, higher risk of CVD and T2D
Further findings
- The two MASLD types had distinct liver transcriptomic profiles (n=831) and plasma metabolomic signatures (n=1,322)
Original publication
Data-driven cluster analysis identifies distinct types of metabolic dysfunction-associated steatotic liver disease. Nat Med. Published 9 December 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →