Screening of Multiple Biomarkers Associated With Ischemic Stroke in Atrial Fibrillation

Ziad Hijazi1,2, Lars Wallentin1,2, Johan Lindbäck2

  • 1Department of Medical Sciences Cardiology Uppsala University Uppsala Sweden.

Insights

This study identified six key plasma proteins linked to ischemic stroke risk in atrial fibrillation (AF) patients on anticoagulation. These biomarkers may help predict stroke events in AF, guiding personalized prevention strategies.

Area of Science:

  • Cardiovascular Medicine
  • Biomarker Discovery
  • Stroke Research

Background:

  • Atrial fibrillation (AF) significantly increases stroke risk, necessitating better predictive tools.
  • Oral anticoagulation reduces stroke risk but does not eliminate it, highlighting the need for improved risk stratification.
  • Understanding the pathophysiological features of stroke in AF patients is crucial for developing targeted therapies.

Purpose of the Study:

  • To identify plasma protein biomarkers associated with subsequent ischemic stroke in patients with atrial fibrillation (AF) receiving oral anticoagulation.
  • To explore the pathophysiological underpinnings of ischemic stroke in the context of AF.
  • To validate identified biomarkers in independent AF cohorts.

Main Methods:

  • A case-cohort design was employed using data from the ARISTOTLE and RE-LY clinical trials.
  • Plasma samples from patients with and without ischemic stroke/systemic embolism were analyzed for 268 unique biomarkers using Olink proximity extension assays and immunoassays.
  • Statistical analyses included random survival forest and adjusted Cox regression to evaluate biomarker associations with outcomes.

Main Results:

  • Six biomarkers were consistently and strongly associated with ischemic stroke/systemic embolism in AF patients.
  • These included matrix metalloproteinase-9, NT-proBNP (N-terminal pro-B-type natriuretic peptide), osteopontin, sortilin, soluble suppression of tumorigenesis 2, and trefoil factor-3.
  • Hazard ratios indicated increased stroke risk with higher levels of these biomarkers.

Conclusions:

  • The identified biomarkers reflect diverse pathophysiological processes including fibrosis/remodeling, cardiac dysfunction, vascular calcification, metabolism, and mucosal integrity/ischemia.
  • These findings offer potential for improved risk prediction and targeted therapeutic strategies for stroke prevention in AF patients.
  • The study underscores the utility of large-scale proteomic analysis in uncovering novel stroke risk factors in specific patient populations.

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