Metabolomic signatures mediate the association between physical frailty and metabolic dysfunction-associated steatotic liver disease: a prospective cohort study - Summary - MDSpire

Metabolomic signatures mediate the association between physical frailty and metabolic dysfunction-associated steatotic liver disease: a prospective cohort study

  • By

  • Doudou Li

  • Yacong Bo

  • Yao Chen

  • Zhitian Guo

  • Li Li

  • Wenjie Zhang

  • Mingyi Xue

  • Yongjian Zhu

  • Liuhang Ren

  • Tingting Li

  • Zhan Gao

  • May 12, 2026

  • 0 min

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Objective:

To identify a frailty-related metabolic signature and examine its association with incident metabolic dysfunction-associated steatotic liver disease (MASLD), highlighting the significance of understanding this relationship.

Key Findings:
  • Over a median follow-up of 13.7 years, 3,408 incident MASLD cases occurred.
  • A 96-metabolite signature was identified, with each 1-standard deviation increase associated with a 21% higher MASLD risk (HR = 1.21, 95% CI: 1.16-1.25).
  • Pre-frail and frail individuals had HRs of 1.51 (95% CI: 1.40-1.63) and 2.22 (95% CI: 1.97-2.50) for MASLD, respectively.
  • The metabolic signature mediated 4.25% of the frailty-MASLD association.
Interpretation:

Frailty and its associated metabolic signature are independently linked to increased risk of incident MASLD, with the signature partially mediating this relationship, indicating metabolic dysregulation as a connection between physical frailty and hepatic steatosis. Further implications of these findings should be discussed.

Limitations:
  • The study is observational, limiting causal inferences.
  • The cohort is predominantly of European descent, which may affect generalizability. More context on the impact of this limitation should be provided.
Conclusion:

Identifying the frailty-related metabolic signature may enable earlier detection of MASLD in frail individuals, highlighting the importance of metabolic dysregulation in the frailty-MASLD relationship and its potential clinical applications.

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