Lipids & metabolic liver disease

Growth differentiation factor-15 and the incidence, bidirectional progression, and risk prediction of atherosclerotic cardiovascular disease and metabolic dysfunction-associated steatotic liver disease in individuals with cardiovascular-kidney-metabolic syndrome stages 0–3

Cardiovasc DiabetolPublished Prospective cohort study

Authors' conclusion

GDF-15 may serve as a promising biomarker for cardiovascular-kidney-liver-metabolic syndrome risk stratification and management.

Study context

Population
UK Biobank participants with cardiovascular-kidney-metabolic (CKM) syndrome stages 0–3 (AHA criteria); mean age 56.16 years, 57.32% female
Participants
29,697 participants
Exposure
GDF-15 per 1-unit increase
Outcome
Incident ASCVD, MASLD and their comorbidity
Methodological detailsUK Biobank, Fine-Gray competing risk regression, multi-state Markov model
  • UK Biobank
  • Fine-Gray competing risk regression
  • Multi-state Markov model

Main finding

As reported in the abstract

Incident ASCVD, MASLD and comorbidity per 1-unit increase in GDF-15
Estimate (95% CI)P value
GDF-15 per 1-unit increase
HR (ASCVD) 1.25(1.15–1.36)
P = 1.35 × 10-7
GDF-15 per 1-unit increase
HR (MASLD) 1.62(1.41–1.86)
P = 2.06 × 10-11
GDF-15 per 1-unit increase
HR (comorbidity) 1.62(1.32–2.18)
P = 4.36 × 10-7

Per 1-unit increase, as printed

Developed atherosclerotic cardiovascular disease (ASCVD)
2,786
Developed MASLD
456

Observational data: associations, not effects.

Further findings

10-year cumulative incidence of ASCVD and MASLD by GDF-15 level

ASCVD, top 10% GDF-15
15.75%
MASLD, top 10% GDF-15
2.03%
ASCVD, top 5% GDF-15
20.05%
MASLD, top 5% GDF-15
2.32%
  • GDF-15 predicted bidirectional progression between ASCVD and MASLD

Cross-sectional associations

Higher GDF-15 associated with poorer CKM health; strongest associations with renal function markers, then insulin resistance indices

Risk prediction

Adding GDF-15 to PREVENT, SCORE2, FLI, FIB-4 and ARPI gave modest improvements in discrimination, reclassification and prediction error, particularly for ASCVD
GDF-15 had high relative importance (SHAP, likelihood ratio (LR)) and in several settings outperformed established biomarkers

Original publication

Growth differentiation factor-15 and the incidence, bidirectional progression, and risk prediction of atherosclerotic cardiovascular disease and metabolic dysfunction-associated steatotic liver disease in individuals with cardiovascular-kidney-metabolic syndrome stages 0–3. Cardiovasc Diabetol. Published 12 June 2026. doi:10.1186/s12933-026-03243-8

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.