Plasma galectin 3 and heart failure risk in the Physicians' Health Study

Luc Djoussé1, Chisa Matsumoto, Andrew Petrone

  • 1Division of Aging, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont St, 3rd floor, Boston, MA, 02120, USA; Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; The Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC) and Geriatric Research (GRECC), Boston Veterans Affairs Healthcare System, Boston, MA, USA.

Insights

Plasma galectin 3 (Gal-3) shows a positive, non-linear association with heart failure (HF) risk in men. Higher Gal-3 levels correlate with increased likelihood of developing HF.

Area of Science:

  • Cardiology
  • Biomarkers
  • Epidemiology

Background:

  • Galectin 3 (Gal-3) is a known prognostic factor in heart failure (HF) patients.
  • Limited data exist on Gal-3's role in HF development.
  • This study investigates Gal-3 as a predictive biomarker for HF incidence.

Purpose of the Study:

  • To test the hypothesis that plasma Gal-3 is positively associated with HF risk in male subjects.
  • To explore the non-linear relationship between Gal-3 levels and incident HF.
  • To identify potential novel biomarkers for HF prevention.

Main Methods:

  • Prospective nested case-control study within the Physicians' Health Study (462 cases, 462 controls).
  • Subjects matched on age, race, and blood collection time.
  • Plasma Gal-3 measured by ELISA; conditional logistic regression used for analysis.

Main Results:

  • A non-linear, positive association was observed between Gal-3 levels and HF risk.
  • Odds ratios for HF increased across higher quartiles of Gal-3 after multivariable adjustment.
  • This association was consistent for HF with and without prior coronary heart disease.

Conclusions:

  • Plasma Gal-3 is associated with an increased risk of developing heart failure in men.
  • The relationship between Gal-3 and HF risk is non-linear.
  • Gal-3 may serve as a valuable biomarker for predicting HF incidence in the male population.
Abstract

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