Endothelin-1 as dual marker for renal function decline and associated cardiovascular complications in patients with

Laura González-Rodríguez1, Manuel Martí-Antonio2, Sonia Mota-Zamorano3

  • 1Department of Medical and Surgical Therapeutics, Medical School, Universidad de Extremadura, 06006 Badajoz, Spain; RICORS2040 Renal Research Network, 2802940 Madrid, Spain.

Insights

Endothelin-1 (ET-1) is linked to worsening chronic kidney disease (CKD) and cardiovascular events. Measuring ET-1 may help predict kidney decline and heart risks in CKD patients.

Area of Science:

  • Nephrology
  • Cardiology
  • Biomarker Discovery

Background:

  • Cardiovascular complications are the primary cause of mortality in chronic kidney disease (CKD) patients.
  • Endothelin-1 (ET-1), a vasoconstrictor implicated in renal and vascular dysfunction, is a potential biomarker for CKD progression and cardiovascular disease (CVD).

Purpose of the Study:

  • To investigate the association between plasma Endothelin-1 (ET-1) levels and the progression of chronic kidney disease (CKD).
  • To evaluate ET-1 as a predictive biomarker for cardiovascular events (CVE) and all-cause mortality in CKD patients.

Main Methods:

  • Quantified ET-1 plasma levels in 692 Spanish CKD patients (stages 1-5).
  • Stratified patients into three clusters based on ET-1 concentrations.
  • Assessed associations with CKD progression, CVE, and mortality using mixed-effects models and Cox regression over a mean follow-up of 48.6 months, adjusting for conventional risk factors.

Main Results:

  • ET-1 levels significantly increased with CKD severity (p < 0.001).
  • Higher ET-1 levels were independently associated with accelerated estimated glomerular filtration rate (eGFR) decline over 3 years (p < 0.001 for cluster 2; p = 0.034 for cluster 3).
  • Elevated ET-1 independently predicted cardiovascular events (HR = 2.24, p = 0.022 for cluster 2; HR = 2.50, p = 0.03 for cluster 3) and all-cause mortality (p < 0.001).
  • Random forest models incorporating ET-1 clusters showed high predictive accuracy for CV risk (C-index = 0.835) and all-cause mortality (C-index = 0.837).

Conclusions:

  • Elevated ET-1 levels are significantly and independently associated with both CKD progression and cardiovascular complications.
  • ET-1 demonstrates potential as a dual biomarker for predicting renal deterioration and cardiovascular risk in CKD patients.
  • ET-1 may enhance clinical stratification and management strategies for individuals with chronic kidney disease.
Abstract

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