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Decoding MASLD Progression: A Molecular Trajectory-Based Framework for Modelling Disease Dynamics

Lookup NU author(s): Professor Quentin AnsteeORCiD

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Author(s): Kamzolas I, Koutsandreas T, Barker CG, Pournara A, Weston H, Fujiwara N, Hoshida Y, Anstee QM, Vacca M, Papatheodorou I, Vidal-Puig A, Petsalaki E

Publication type: Article

Publication status: In Press

Journal: Nature Metabolism

Year: 2026

Acceptance date: 07/05/2026

Date deposited: 01/06/2026

ISSN (electronic): 2522-5812

Publisher: Nature Publishing Group

URL: https://www.nature.com/natmetab/

Data Access Statement: All data used in this study are publicly available as described in the methods. The raw transcriptomic data and relevant metadata for the UCAM and SANYAL datasets were downloaded from Array Express (E-MTAB-9815) and NCBI's GEO (GSE130970), respectively. The GUBRA, EPoS and Fujiwara datasets were downloaded from NCBI's GEO (GSE126848, GSE135251, and GSE193084, respectively). The Govaere proteomics data were downloaded from the supplementary files of the original publication.

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