| Title: | Plasma proteomics framework predicts metabolic dysfunction-associated steatotic liver disease up to 16 years before onset |
| Journal: | Nature Aging |
| Published: | 30 Jul 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/42533107/ |
| DOI: | https://doi.org/10.1038/s43587-026-01183-2 |
Publication 21115
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Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a global health challenge, yet preclinical identification remains difficult owing to a lack of reliable predictive tools. Here we show that a panel of five plasma proteins, FUOM, ACY1, KRT18, CDHR2 and GGT1, identified and validated across over 50,000 participants from the Southern UK, Northern UK, EPIC-Norfolk and Southern China cohorts, serves as a predictive signature for incident MASLD. Our five-protein model achieves predictive accuracy of 0.838 (5 year area under the curve (AUC)) and 0.756 (16.6 year AUC), with performance sustained longitudinally in the EPIC-Norfolk cohort (16.6 year AUC = 0.710) and confirmed in the Southern China Inception Cohort (AUC = 0.912). Integrating these biomarkers with routine clinical data further enhances performance (5 year AUC = 0.904; 16.6 year AUC = 0.822). These findings establish a scalable proteomic framework for ultra-early risk stratification and targeted intervention in MASLD up to 16 years before clinical onset.</p>
10 Keywords
- Biomarkers
- Blood Proteins
- China
- Female
- Humans
- Keratin-18
- Male
- Middle Aged
- Proteomics
- gamma-Glutamyltransferase
19 Authors
- Shiyi Yu
- Chunling Chen
- Jing Feng
- Qinming Li
- Shuo Chen
- Ruijie Zeng
- Dongling Luo
- Wentao Huang
- Kexin Zhang
- Yuying Ma
- Lijun Zhang
- Meijun Meng
- Yanjun Wu
- Dong Chen
- Qizhou Lian
- Felix W. Leung
- Chusi Wang
- Weihong Sha
- Hao Chen
1 Application
| Application ID | Title |
|---|---|
| 83339 | Characterization of risk factors and biomarkers for digestive tract diseases |
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