SteatoSITE: an Integrated Gene-to-Outcome Data Commons for Precision Medicine Research in NAFLD
Abstract Nonalcoholic fatty liver disease (NAFLD) is the commonest cause of chronic liver disease worldwide and a growing healthcare burden. The pathobiology of NAFLD is complex, disease progression is variable and unpredictable, and there are no qualified prognostic biomarkers or licensed pharmacotherapies that can improve clinical outcomes; it represents an unmet precision medicine challenge. We established a retrospective multicentre national cohort of 940 patients, across the complete NAFLD spectrum, integrating quantitative digital pathology, hepatic RNA-sequencing and 5.67 million days of longitudinal electronic health record follow-up into a secure, searchable, open resource (SteatoSITE) to inform rational biomarker and drug development and facilitate personalised medicine approaches for NAFLD. A complementary web-based gene browser was also developed. Here, our initial analysis uncovers disease stage-specific gene expression signatures, pathogenic hepatic cell subpopulations and master regulator networks associated with disease progression in NAFLD. Additionally, we construct novel transcriptional risk prediction tools for the development of future hepatic decompensation events..
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Preprint| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
ResearchSquare.com - (2023) vom: 01. Nov. Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Fallowfield, Jonathan [VerfasserIn] |
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| doi: |
10.21203/rs.3.rs-2805134/v1 |
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XRA039300528 |
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| 520 | |a Abstract Nonalcoholic fatty liver disease (NAFLD) is the commonest cause of chronic liver disease worldwide and a growing healthcare burden. The pathobiology of NAFLD is complex, disease progression is variable and unpredictable, and there are no qualified prognostic biomarkers or licensed pharmacotherapies that can improve clinical outcomes; it represents an unmet precision medicine challenge. We established a retrospective multicentre national cohort of 940 patients, across the complete NAFLD spectrum, integrating quantitative digital pathology, hepatic RNA-sequencing and 5.67 million days of longitudinal electronic health record follow-up into a secure, searchable, open resource (SteatoSITE) to inform rational biomarker and drug development and facilitate personalised medicine approaches for NAFLD. A complementary web-based gene browser was also developed. Here, our initial analysis uncovers disease stage-specific gene expression signatures, pathogenic hepatic cell subpopulations and master regulator networks associated with disease progression in NAFLD. Additionally, we construct novel transcriptional risk prediction tools for the development of future hepatic decompensation events. | ||
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| 700 | 1 | |a Turner, Frances |4 aut | |
| 700 | 1 | |a Ramachandran, Prakash |0 (orcid)0000-0001-5996-2413 |4 aut | |
| 700 | 1 | |a Minnier, Jessica |4 aut | |
| 700 | 1 | |a McColgan, Michael |4 aut | |
| 700 | 1 | |a Ellis, Harriet |4 aut | |
| 700 | 1 | |a Dunbar, Donald |4 aut | |
| 700 | 1 | |a Kohnen, Gabriele |4 aut | |
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