Pathophysiological pathways related to high plasma growth differentiation factor 15 concentrations in patients with

Daan Ceelen1, Adriaan A Voors1, Jasper Tromp1,2

  • 1Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.

Insights

High growth differentiation factor 15 (GDF-15) in heart failure (HF) patients indicates heightened inflammation and altered IGF-1 signaling. This biomarker predicts mortality and hospitalizations in HF.

Area of Science:

  • Biomarker discovery
  • Cardiovascular pathophysiology
  • Molecular biology

Background:

  • Elevated growth differentiation factor 15 (GDF-15) is linked to poor outcomes in heart failure (HF).
  • The specific disease mechanisms underlying high GDF-15 in HF remain unclear.
  • Understanding these mechanisms is crucial for improving HF patient management.

Purpose of the Study:

  • To identify activated pathophysiological pathways associated with elevated GDF-15 in heart failure (HF) patients.
  • To elucidate the biological processes driven by high GDF-15 concentrations.
  • To validate findings in independent HF cohorts.

Main Methods:

  • Measured 363 circulating biomarkers in 2279 HF patients.
  • Performed pathway over-representation analysis comparing highest and lowest GDF-15 quartiles.
  • Validated biomarker and pathway associations in an independent cohort of 1705 HF patients.

Main Results:

  • High GDF-15 was associated with increased fibroblast growth factor 23 (FGF-23), TRAIL-R2, WISP-1, TNFRSF11A, LILRB4, and TFF3.
  • Key activated pathways included inflammation (chemokine production, IL-6 response, TNF/death receptor activity, T-cell differentiation).
  • Pathways involved in insulin-like growth factor (IGF) receptor signaling and bone/tissue remodeling were also upregulated.

Conclusions:

  • Heart failure patients with high GDF-15 exhibit activated inflammatory pathways.
  • Elevated GDF-15 is linked to altered IGF-1 regulation and bone/tissue remodeling pathways.
  • GDF-15 levels significantly predict all-cause mortality and HF hospitalizations.
Abstract

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