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Potential Relation between Plasma BDNF Levels and Human Coronary Plaque Morphology

Authors :
Patrizia Amadio
Nicola Cosentino
Sonia Eligini
Simone Barbieri
Calogero Claudio Tedesco
Leonardo Sandrini
Marta Zarà
Franco Fabiocchi
Giampaolo Niccoli
Giulia Magnani
Francesco Fracassi
Filippo Crea
Fabrizio Veglia
Giancarlo Marenzi
Silvia Stella Barbieri
Source :
Diagnostics, Vol 11, Iss 6, p 1010 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Coronary artery disease (CAD) patients are at high ischemic risk, and new biomarkers reflecting atherosclerotic disease severity and coronary plaque vulnerability are required. The Brain-Derived Neurotrophic Factor (BDNF) affects endothelial and macrophage activation suggesting its involvement in atherosclerotic plaque behavior. To investigate whether plasma BDNF is associated with in vivo coronary plaque features, assessed by optical coherence tomography (OCT), in both acute myocardial infarction (AMI) and stable angina (SA) patients, we enrolled 55 CAD patients (31 SA and 24 AMI), and 21 healthy subjects (HS). BDNF was lower in CAD patients than in HS (p < 0.0001), and it decreased with the presence, clinical acuity and severity of CAD. The greater BDNF levels were associated with OCT features of plaque vulnerability in overall CAD as well as in SA and AMI patients (p < 0.03). Specifically, in SA patients, BDNF correlated positively with macrophages’ infiltration within atherosclerotic plaque (p = 0.01) and inversely with minimal lumen area (p = 0.02). In AMI patients a negative correlation between BDNF and cap thickness was found (p = 0.02). Despite a small study population, our data suggest a relationship between BDNF and coronary plaque vulnerability, showing that vulnerable plaque is positively associated with plasma BDNF levels, regardless of the clinical CAD manifestation.

Details

Language :
English
ISSN :
20754418
Volume :
11
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.996487a72bcb42d0aa8e140bda6bc4f4
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics11061010