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

Share

  • 1

    The study identified a 96-metabolite signature associated with physical frailty linked to metabolic dysfunction-related steatotic liver disease (MASLD).

  • 2

    Each 1-standard deviation increase in the metabolic signature correlated with a 21% higher risk of developing MASLD over a median follow-up of 13.7 years.

  • 3

    Pre-frail and frail individuals had significantly higher hazard ratios for MASLD, with HRs of 1.51 and 2.22, respectively, compared to robust participants.

  • 4

    The metabolic signature was found to mediate 4.25% of the association between physical frailty and MASLD risk, indicating a link through metabolic dysregulation.

  • 5

    Identifying the frailty-related metabolic signature may facilitate earlier detection and intervention for MASLD in frail individuals.

Original Source(s)

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

Related Content

Schisandra chinensis Fructus and its active metabolites for the treatment of metabolic dysfunction-associated steatotic liver disease

Strategies to promote liver fibrosis amelioration with involvement of restorative macrophages

Editorial: Addressing the Challenges of Diabetes Complications and Exploring Innovative Approaches