Brain-Derived Neurotrophic Factor Reduces Long-Term Mortality in Patients With Coronary Artery Disease and Chronic

Cheng-Yueh Hsu1,2, Wayne Huey-Herng Sheu3,4, I-Te Lee4,5,6

  • 1Master of Public Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.

Insights

Low brain-derived neurotrophic factor (BDNF) combined with chronic kidney disease (CKD) significantly increases long-term mortality risk in coronary artery disease (CAD) patients. This synergistic effect highlights BDNF and CKD as crucial predictors for adverse outcomes.

Area of Science:

  • Cardiology
  • Nephrology
  • Biomarkers

Background:

  • Chronic kidney disease (CKD) is an established risk factor for coronary artery disease (CAD).
  • Brain-derived neurotrophic factor (BDNF) is a neurotrophin with potential roles in cardiovascular health.
  • The combined impact of BDNF levels and CKD on mortality in CAD patients remains under-investigated.

Purpose of the Study:

  • To investigate the effect of circulating brain-derived neurotrophic factor (BDNF) on long-term mortality in patients with coronary artery disease (CAD) and chronic kidney disease (CKD).

Main Methods:

  • A cohort of 348 patients with established CAD was enrolled.
  • Serum BDNF levels and estimated glomerular filtration rate (eGFR) were measured.
  • All-cause mortality was tracked over a median follow-up of 6.0 years.

Main Results:

  • Patients with both low BDNF and CKD exhibited significantly higher mortality rates compared to other groups (log-rank test p < 0.001).
  • Low BDNF with CKD was associated with a 3.186-fold increased hazard ratio for all-cause mortality (p = 0.003) after multivariable adjustment.
  • A significant interaction between BDNF and CKD status was observed, predicting mortality risk.

Conclusions:

  • A synergistic adverse effect exists between low serum BDNF levels and CKD in predicting all-cause mortality among patients with CAD.
  • These findings suggest BDNF and CKD status are important prognostic indicators in CAD management.
Abstract