Updates and achievements from the SteatoSITE team Innovations to combat liver disease using data and collaboration Read Edinburgh Innovation's case study on our unique gene-to-outcome data resource which is catalysing multi-sector collaborations to improve the understanding, prevention, and treatment of Metabolic Dysfunction-Associated Steatotic Liver Diseases (MASLD). “Big Data” approach to liver disease Read Edinburgh BioQuarter's article on our collaborative Scotland-wide project that has compiled patient data from nearly 1,000 patients with liver disease to create a secure, searchable, open resource. Scottish Knowledge Exchange Awards 2025 Finalist The SteatoSITE team have been announced finalists for the Scottish Knowledge Exchange Multiparty Collaboration Award for the INTErPRET-NAFLD project in association with Bering Limited, HistoIndex, BioDev, Precision Medicine Scotland and the University of Edinburgh. Supporting research into liver disease Read the article from EPPC about their involvement in the SteatoSITE resource. EPPC, part of the University of Edinburgh, is the UK's leading centre of Supercomputing and Data Science expertise and hosts the NHS data that underpins SteatoSITE. Publications Hepatic stellate cells control liver zonation, size and functions via R-spondin 3. Sugimoto, A., Saito, Y., Wang, G. et al. Nature 640, 752–761 (2025). doi:10.1038/s41586-025-08677-wA prognostic molecular signature of hepatic steatosis is spatially heterogeneous and dynamic in human liver. Perry, Andrew S et al. Cell reports. Medicine vol. 5,12 (2024): 101871. doi:10.1016/j.xcrm.2024.101871 Aberrant basement membrane production by HSCs in MASLD is attenuated by the bile acid analog INT-767. Ramachandran, Prakash et al. Hepatology communications vol. 8,12 e0574. 25 Nov. 2024, doi:10.1097/HC9.0000000000000574Outcome prediction in metabolic dysfunction-associated steatotic liver disease using stain-free digital pathological assessment. Kendall, Timothy J et al. Liver international : official journal of the International Association for the Study of the Liver vol. 44,10 (2024): 2511-2516. doi:10.1111/liv.16062 Accurate prediction of all-cause mortality in patients with metabolic dysfunction-associated steatotic liver disease using electronic health records. Drozdov, Ignat et al. Annals of hepatology vol. 29,5 (2024): 101528. doi:10.1016/j.aohep.2024.101528 An integrated gene-to-outcome multimodal database for metabolic dysfunction-associated steatotic liver disease. Kendall, Timothy J et al. Nature medicine vol. 29,11 (2023): 2939-2953. doi:10.1038/s41591-023-02602-2 Single-nucleus RNA sequencing of pre-malignant liver reveals disease-associated hepatocyte state with HCC prognostic potential. Carlessi, Rodrigo et al. Cell genomics vol. 3,5 100301. 13 Apr. 2023, doi:10.1016/j.xgen.2023.100301 Follow-on funding and awards Guts UK Innovate UK Eureka/ Enterprise Singapore Medical Research Council Wellcome Trust Horizon Europe This article was published on 2025-05-16
