Integrated liver-secreted and plasma proteomics identify a predictive model that stratifies MASH Article Swipe
William De Nardo
,
Olivia W. Lee
,
Yazmin Johari
,
Jacqueline Bayliss
,
M. Pensa
,
Paula M. Miotto
,
Stacey N. Keenan
,
Andrew Ryan
,
Antoni Ruciński
,
Tessa M Svinos
,
Geraldine Ooi
,
Wendy A. Brown
,
William Kemp
,
Stuart K. Roberts
,
Benjamin L. Parker
,
Magdalene K. Montgomery
,
Mark Larance
,
Paul R. Burton
,
Matthew J. Watt
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.xcrm.2025.102085
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.xcrm.2025.102085
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.
Related Topics
Concepts
Kexin
Steatohepatitis
PCSK9
Apolipoprotein B
Fatty liver
Proteomics
Proteome
Secretion
Internal medicine
Biology
Apolipoprotein A1
Endocrinology
Medicine
Bioinformatics
Disease
Lipoprotein
Cholesterol
Biochemistry
Gene
LDL receptor
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.xcrm.2025.102085
- OA Status
- gold
- Cited By
- 7
- References
- 94
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409540564
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409540564Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.xcrm.2025.102085Digital Object Identifier
- Title
-
Integrated liver-secreted and plasma proteomics identify a predictive model that stratifies MASHWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-04-17Full publication date if available
- Authors
-
William De Nardo, Olivia W. Lee, Yazmin Johari, Jacqueline Bayliss, M. Pensa, Paula M. Miotto, Stacey N. Keenan, Andrew Ryan, Antoni Ruciński, Tessa M Svinos, Geraldine Ooi, Wendy A. Brown, William Kemp, Stuart K. Roberts, Benjamin L. Parker, Magdalene K. Montgomery, Mark Larance, Paul R. Burton, Matthew J. WattList of authors in order
- Landing page
-
https://doi.org/10.1016/j.xcrm.2025.102085Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.xcrm.2025.102085Direct OA link when available
- Concepts
-
Kexin, Steatohepatitis, PCSK9, Apolipoprotein B, Fatty liver, Proteomics, Proteome, Secretion, Internal medicine, Biology, Apolipoprotein A1, Endocrinology, Medicine, Bioinformatics, Disease, Lipoprotein, Cholesterol, Biochemistry, Gene, LDL receptorTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 7Per-year citation counts (last 5 years)
- References (count)
-
94Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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