Plasma proteomics framework predicts metabolic dysfunction-associated steatotic liver disease up to 16 years before onset
Peer-reviewed Nature Aging study identifying and validating a five-protein plasma panel (FUOM, ACY1, KRT18, CDHR2, GGT1) that predicts incident MASLD up to 16 years before clinical diagnosis across four independent cohorts totalling more than 50,000 participants.
Evidence
7/10
Moderate Evidence
Sample
50,000
subjects
Duration
Up to 16.6 years
study period
Journal
Nature Aging
Jul 2026
Key Findings
- 01
Five-protein panel: FUOM, ACY1, KRT18, CDHR2 and GGT1
- 02
5-year AUC 0.838; 16.6-year AUC 0.756
- 03
Long-horizon performance sustained in EPIC-Norfolk (16.6-year AUC 0.710)
- 04
External confirmation in the Southern China Inception Cohort (AUC 0.912)
- 05
Adding routine clinical data raised performance to 5-year AUC 0.904 and 16.6-year AUC 0.822
- 06
Validated across Southern UK, Northern UK, EPIC-Norfolk and Southern China cohorts (>50,000 participants)
Structured Methods
- Study Design
- Cohort Study
- Sample Size
- 50,000 subjects
- Study Duration
- Up to 16.6 years
- Methodology
- Plasma proteomic discovery and validation across four independent prospective cohorts; incident MASLD as endpoint; time-stratified AUC analysis with and without integration of routine clinical variables.
- Limitations
- Observational prediction model only. No trial has tested whether acting on the signature changes hepatic outcomes, and no assay is yet clinically standardised or reimbursed. AUC values are cohort-level discrimination metrics; calibration and net clinical benefit in routine practice are unestablished.
Citations & References
Shiyi Yu, Chunling Chen, Jing Feng, Qinming Li, Weihong Sha, Hao Chen (2026). Plasma proteomics framework predicts metabolic dysfunction-associated steatotic liver disease up to 16 years before onset. Nature Aging. https://doi.org/10.1038/s43587-026-01183-2
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