Evidence map›Paper›PMID 40250425›Full record

ArticleCell reports. Medicine2025

Integrated liver-secreted and plasma proteomics identify a predictive model that stratifies MASH.

William De Nardo, Olivia Lee, Yazmin Johari, Jacqueline Bayliss, Marcus Pensa, Paula M Miotto, Stacey N Keenan, Andrew Ryan, Amber Rucinski, Tessa M Svinos and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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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.

William De NardoDepartment of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine, Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia.
Olivia LeeDepartment of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine, Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia.
Yazmin JohariDepartment of Surgery, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia; Bariatric Unit, Department of General Surgery, The Alfred Hospital, Melbourne, VIC 3004, Australia.
Jacqueline BaylissDepartment of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine, Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia.
Marcus PensaDepartment of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine, Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia.
Paula M MiottoDepartment of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine, Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia.
Stacey N KeenanDepartment of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine, Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia.
Andrew RyanTissuPath, Mount Waverley, VIC 3149, Australia.
Amber RucinskiDepartment of Oncology, Bendigo Health, Bendigo, VIC 3550, Australia.
Tessa M SvinosDepartment of General Surgery, Barwon Health, Geelong, VIC 3220, Australia.
Geraldine J OoiDepartment of Surgery, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia; Bariatric Unit, Department of General Surgery, The Alfred Hospital, Melbourne, VIC 3004, Australia.
Wendy A BrownDepartment of Surgery, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia; Bariatric Unit, Department of General Surgery, The Alfred Hospital, Melbourne, VIC 3004, Australia.
William KempDepartment of Gastroenterology, The Alfred Hospital and Monash University, Melbourne, VIC 3181, Australia.
Stuart K RobertsDepartment of Gastroenterology, The Alfred Hospital and Monash University, Melbourne, VIC 3181, Australia.
Benjamin L ParkerDepartment of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine, Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia.
Magdalene K MontgomeryDepartment of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine, Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia.
Mark LaranceCharles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia.
Paul R BurtonDepartment of Surgery, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia; Bariatric Unit, Department of General Surgery, The Alfred Hospital, Melbourne, VIC 3004, Australia.
Matthew J WattDepartment of Anatomy and Physiology, School of Biomedical Sciences, Faculty of Medicine, Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC 3010, Australia. Electronic address: matt.watt@unimelb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a major risk factor for metabolic-associated steatotic liver disease (MASLD), which can progress to metabolic-associated steatohepatitis (MASH). There are no validated non-invasive tests to stratify persons with obesity with a greater risk for MASH. Herein, we assess plasma and liver from 266 obese individuals spanning the MASLD spectrum. Ninety-six human livers were precision-cut, and mass spectrometry-based proteomics identifies 3,333 proteins in the liver-secretion medium, of which 107 are differentially secreted in MASH compared with no pathology. The plasma proteome is markedly remodeled in MASH but is not different between patients with steatosis and no pathology. The APASHA model, comprising plasma apolipoprotein F (APOF), proprotein convertase subtilisin/kexin type 9 (PCSK9), afamin (AFM), S100 calcium-binding protein A6 (S100A6), HbA1c, and zinc-alpha-2-glycoprotein (AZGP1), stratifies MASH (area under receiver operating characteristic [AUROC] = 0.88). Our investigations detail the evolution of liver-secreted and plasma proteins with MASLD progression, providing a rich resource defining human liver-secreted proteins and creating a predictive model to stratify patients with obesity at risk of MASH.

Indexed as

Fatty LiverLiverProteomicsAdultBiomarkersFemaleHumansMaleMiddle AgedObesityProteomeBiomarkersProteomeAPASHAAPOFAZGP1hepatokineMASLMASLDprotein secretionproteomesmall protein enrichment

Identifiers

PMID40250425
PMCPMC12147855

What OpenQuestion holds

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Registered trials

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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.