Evidence map›Paper›PMID 37903863›Full record

ArticleNature medicine2023

An integrated gene-to-outcome multimodal database for metabolic dysfunction-associated steatotic liver disease.

Timothy J Kendall, Maria Jimenez-Ramos, Frances Turner, Prakash Ramachandran, Jessica Minnier, Michael D McColgan, Masood Alam, Harriet Ellis, Donald R Dunbar, Gabriele Kohnen and 9 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Nature medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06344364 (Epidemiologic Liver Outcomes Retrospective Study to Confirm The Prognostic Value of the FibroNest Digital Pathology Fibrosis Biomarker), which is not on this map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
14.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06344364 completednot on this mapstarted 2025, after this paper: background citation

Epidemiologic Liver Outcomes Retrospective Study to Confirm The Prognostic Value of the FibroNest Digital Pathology Fibrosis Biomarker (Ph-FCS) in Patients With MASLD (DPAILO-1)

TypeobservationalSponsorPharmaNest, IncRan2025 to 2026Enrolled1,241ConditionsMetabolic Dysfunction-associated Steatotic Liver DiseaseArmsDigital Pathology FibroNest Phenotypic Fibrosis Composite Score (Ph-FCS)
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Sarcopenia and MASLD: novel insights and the future.Nature reviews. Endocrinology · 2026
    Review
  15. Review
  16. Review
  17. Review
  18. Periodontitis and MASLD: a narrative review of the direct oral-hepatic pathway.Frontiers in cellular and infection microbiology · 2026
    Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 9 institutions in 2 countries.

Timothy J Kendall *Institute for Regeneration and Repair, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-4174-2786
Maria Jimenez-Ramos *Institute for Regeneration and Repair, University of Edinburgh, Edinburgh, UK.ORCID 0009-0000-8273-0805
Frances TurnerEdinburgh Genomics (Bioinformatics), University of Edinburgh, Edinburgh, UK.
Prakash RamachandranInstitute for Regeneration and Repair, University of Edinburgh, Edinburgh, UK.
Jessica MinnierOHSU-PSU School of Public Health, Oregon Health & Sciences University, Portland, OR, USA.
Michael D McColganPrecision Medicine Scotland-Innovation Centre (PMS-IC), University of Glasgow, Glasgow, UK.
Masood AlamPrecision Medicine Scotland-Innovation Centre (PMS-IC), University of Glasgow, Glasgow, UK.
Harriet EllisPrecision Medicine Scotland-Innovation Centre (PMS-IC), University of Glasgow, Glasgow, UK.
Donald R DunbarEdinburgh Genomics (Bioinformatics), University of Edinburgh, Edinburgh, UK.
Gabriele KohnenPathology Department, Queen Elizabeth University Hospital, Glasgow, UK.
Prakash KonanahalliPathology Department, Queen Elizabeth University Hospital, Glasgow, UK.
Karin A OienPathology Department, Queen Elizabeth University Hospital, Glasgow, UK.
Lucia BandieraSchool of Engineering, Institute of Bioengineering, University of Edinburgh, Edinburgh, UK.
Filippo MenolascinaSchool of Engineering, Institute of Bioengineering, University of Edinburgh, Edinburgh, UK.
Anna Juncker-JensenNeoGenomics Laboratories, Fort Myers, FL, USA.
Douglas AlexanderNHS Greater Glasgow and Clyde Safe Haven, Glasgow, UK.
Charlie MayorNHS Greater Glasgow and Clyde Safe Haven, Glasgow, UK.ORCID 0000-0003-4729-3536
Indra Neil GuhaNational Institute of Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham, UK.ORCID 0000-0002-6940-5861
Jonathan A FallowfieldInstitute for Regeneration and Repair, University of Edinburgh, Edinburgh, UK. Jonathan.Fallowfield@ed.ac.uk.ORCID 0000-0002-5741-1471
MRC Centre for Regenerative Medicine · GBQueen Elizabeth University Hospital · GBUniversity of Glasgow · GBEdinburgh Genomics · GBNHS Greater Glasgow and Clyde · GBUniversity of Edinburgh · GBNeoGenomics (United States) · USNottingham University Hospitals NHS Trust · GBOregon Health & Science University · US

Funding

Medical Research Council MR/W015919/1Wellcome Trust
6 · The paper itself

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.

Indexed as

Diabetes Mellitus, Type 2Fatty LiverMetabolic DiseasesBody Mass IndexFemaleHumansMaleRetrospective Studies

Identifiers

PMID37903863
PMCPMC10667096
OpenAlexW4388019990

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.