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

Raverdy, Violeta; Tavaglione, Federica; Chatelain, Estelle; Lassailly, Guillaume; De Vincentis, Antonio; Vespasiani‐Gentilucci, Umberto; U. Qadri, S.; Caïazzo, Robert; Verkindt, Hélène; Saponaro, Chiara; Kerr‐Conte, Julie; Baud, Grégory; Marciniak, Camille; Chetboun, Mikaël; Oukhouya‐Daoud, Naima; Blanck, Samuel; Vandel, Jimmy; Olsson, Lisa; Chakaroun, Rima; Gnemmi, Viviane; Leteurtre, Emmanuelle; Lefèbvre, Philippe; T. Haas, Joel; Yki‐Järvinen, Hannele; Francque, Sven; Staels, Bart; W. le Roux, Carel; Tremaroli, Valentina; Mathurin, Philippe; Marot, Guillemette; Romeo, Stefano; Pattou, François

doi:10.1038/s41591-024-03283-1

Public

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

Published in Nature Medicine • Dec 1, 2024

Authors:

Violeta Raverdy

Federica Tavaglione

Estelle Chatelain

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 partitioni...

Subject

Steatohepatitis

Disease

Fatty liver

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!