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    PAPER MASLD-Cohort Study2026

    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

    Authors

    Authorship

    Shiyi Yu, Chunling Chen, Jing Feng, Qinming Li, Weihong Sha, Hao Chen

    02

    Key Findings

    1. 01

      Five-protein panel: FUOM, ACY1, KRT18, CDHR2 and GGT1

    2. 02

      5-year AUC 0.838; 16.6-year AUC 0.756

    3. 03

      Long-horizon performance sustained in EPIC-Norfolk (16.6-year AUC 0.710)

    4. 04

      External confirmation in the Southern China Inception Cohort (AUC 0.912)

    5. 05

      Adding routine clinical data raised performance to 5-year AUC 0.904 and 16.6-year AUC 0.822

    6. 06

      Validated across Southern UK, Northern UK, EPIC-Norfolk and Southern China cohorts (>50,000 participants)

    03

    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.
    04

    Citations & References

    Cite this paper

    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

    05

    Indexing

    Topics

    proteomicsMASLDmetabolic-healthbiomarkersearly-detection

    Interventions

    comprehensive blood panelbiological age testingmetabolic screening
    PHS
    671
    / 1000
    T3
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