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An integrated gene-to-outcome multimodal database for metabolic dysfunction-associated steatotic liver disease
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Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is the commonest cause of chronic liver disease worldwide and represents an unmet precision medicine challenge. We established a retrospective national cohort of 940 histologically defined patients (55.4% men, 44.6% women; median body mass index 31.3; 32% with type 2 diabetes) covering the complete MASLD severity spectrum, and created a secure, searchable, open resource (SteatoSITE). In 668 cases and 39 controls, we generated hepatic bulk RNA sequencing data and performed differential gene expression and pathway analysis, including exploration of gender-specific differences. A web-based gene browser was also developed. We integrated histopathological assessments, transcriptomic data and 5.67 million days of time-stamped longitudinal electronic health record data to define disease-stage-specific gene expression signatures, pathogenic hepatic cell subpopulations and master regulator networks associated with adverse outcomes in MASLD. We constructed a 15-gene transcriptional risk score to predict future hepatic decompensation events (area under the receiver operating characteristic curve 0.86, 0.81 and 0.83 for 1-, 3- and 5-year risk, respectively). Additionally, thyroid hormone receptor beta regulon activity was identified as a critical suppressor of disease progression. SteatoSITE supports rational biomarker and drug development and facilitates precision medicine approaches for patients with MASLD.
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SREBF1 and its target genes FASN and SCD1 are moderately upregulated with disease progression in human MASLD/MASH transcriptomic datasets.
“Both datasets revealed that MARCHF6 expression decreased with disease progression, while expression of SREBF1 and its target genes FASN and SCD1 was moderately upregulated (Figure 6H,I).”
From Loss of the E3 ubiquitin ligase MARCHF6 alters hepatic lipid metabolism and drives spontaneous hepatosteatosis (2026) · cites this paper as [50]
MARCHF6 expression decreases with disease progression in human MASLD/MASH transcriptomic datasets.
“Both datasets revealed that MARCHF6 expression decreased with disease progression, while expression of SREBF1 and its target genes FASN and SCD1 was moderately upregulated (Figure 6H,I).”
From Loss of the E3 ubiquitin ligase MARCHF6 alters hepatic lipid metabolism and drives spontaneous hepatosteatosis (2026) · cites this paper as [50]
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Sanyal, A. J., Van Natta, M. L., Clark, J., Neuschwander-Tetri, B. A., Diehl, A., Dasarathy, S., Loomba, R., Chalasani, N., Kowdley, K., Hameed, B., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2029349 · Cited by 1,146
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“The increased risk of HCC in patients with non-cirrhotic MASLD is also well-recognized 23,24 .”
BackgroundGovaere, O., Cockell, S., Tiniakos, D., Queen, R., Younes, R., Vacca, M., Alexander, L., Ravaioli, F., Palmer, J., Petta, S., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aba4448 · Cited by 479
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Single-cell technologies in hepatology: new insights into liver biology and disease pathogenesis
Ramachandran, P., Matchett, K. P., Dobie, R., Wilson-Kanamori, J. R., & Henderson, N. C. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-0304-x · Cited by 253
Self-citationMicrobiome-derived ethanol in nonalcoholic fatty liver disease
Meijnikman, A. S., Davids, M., Herrema, H., Aydin, O., Tremaroli, V., Rios-Morales, M., Levels, H., Bruin, S., de Brauw, M., Verheij, J., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-02016-6 · Cited by 215
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“Indeed, patient characteristics (higher age and body mass index (BMI)), more frequent comorbidities and baseline disease severity likely explain the higher incidence of outcomes in SteatoSITE compared with other published MASLD cohorts 11,61,62 .”
ResultHepatic Molecular Signatures Highlight the Sexual Dimorphism of Nonalcoholic Steatohepatitis (NASH)
Vandel, J., Dubois‐Chevalier, J., Gheeraert, C., Derudas, B., Raverdy, V., Thuillier, D., Gaal, L., Francque, S., Pattou, F., Staels, B., et al. (2021) · Hepatology · doi:10.1002/hep.31312 · Cited by 61
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Hepatic stellate cells control liver zonation, size and functions via R-spondin 3
Sugimoto, A., Saito, Y., Wang, G., Sun, Q., Yin, C., Lee, K. H., Geng, Y., Rajbhandari, P., Hernandez, C., Steffani, M., et al. (2025) · Nature · doi:10.1038/s41586-025-08677-w · Cited by 133
Self-citationSachdev, V., van Loon, N. M., Kingma, J., Ottenhoff, R., Tan, J. M. E., van den Berg, M., Duijst, S., Jongejan, A., Levels, J. H. M., Rensen, P. C. N., et al. (2026) · Molecular Metabolism · doi:10.1016/j.molmet.2026.102379 · Cited by 1
Metadata
- Authors
- Kendall, T. J., Jimenez-Ramos, M., Turner, F., Ramachandran, P., Minnier, J., McColgan, M. D., Alam, M., Ellis, H., Dunbar, D. R., Kohnen, G., Konanahalli, P., Oien, K. A., Bandiera, L., Menolascina, F., Juncker-Jensen, A., Alexander, D., Mayor, C., Guha, I. N., & Fallowfield, J. A.
- Venue
- Nature Medicine
- Published
- 2023-10-30
- Volume
- 29
- Issue
- 11
- Pages
- 2939-2953
- ISSN
- 1078-8956
- 1546-170X
- PMC
- PMC10667096
- Cited by
- 92
- References
- 17
- Language
- en
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