Stress-Related Neural Activity Associates With Coronary Plaque Vulnerability and Subsequent Cardiovascular Events

Copyright © 2023 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved..

BACKGROUND: Stress-related neural activity (SNA) assessed by amygdalar activity can predict cardiovascular events. However, its mechanistic linkage with plaque vulnerability is not fully elucidated.

OBJECTIVES: The authors aimed to investigate the association of SNA with coronary plaque morphologic and inflammatory features as well as their ability in predicting major adverse cardiovascular events (MACE).

METHODS: A total of 299 patients with coronary artery disease (CAD) and without cancer underwent 18F-fluorodexoyglucose positron emission tomography/computed tomography (PET/CT) and available coronary computed tomographic angiography (CCTA) between January 1, 2013, and December 31, 2020. SNA and bone-marrow activity (BMA) were assessed with validated methods. Coronary inflammation (fat attenuation index [FAI]) and high-risk plaque (HRP) characteristics were assessed by CCTA. Relations between these features were analyzed. Relations between SNA and MACE were assessed with Cox models, log-rank tests, and mediation (path) analyses.

RESULTS: SNA was significant correlated with BMA (r = 0.39; P < 0.001) and FAI (r = 0.49; P < 0.001). Patients with heightened SNA are more likely to have HRP (40.7% vs 23.5%; P = 0.002) and increase risk of MACE (17.2% vs 5.1%, adjusted HR 3.22; 95% CI: 1.31-7.93; P = 0.011). Mediation analysis suggested that higher SNA associates with MACE via a serial mechanism involving BMA, FAI, and HRP.

CONCLUSIONS: SNA is significantly correlated with FAI and HRP in patients with CAD. Furthermore, such neural activity was associated with MACE, which was mediated in part by leukopoietic activity in the bone marrow, coronary inflammation, and plaque vulnerability.

Errataetall:

CommentIn: JACC Cardiovasc Imaging. 2023 Nov;16(11):1416-1418. - PMID 37294243

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:16

Enthalten in:

JACC. Cardiovascular imaging - 16(2023), 11 vom: 07. Nov., Seite 1404-1415

Sprache:

Englisch

Beteiligte Personen:

Dai, Neng [VerfasserIn]
Tang, Xianglin [VerfasserIn]
Weng, Xinyu [VerfasserIn]
Cai, Haidong [VerfasserIn]
Zhuang, Jianhui [VerfasserIn]
Yang, Guangjie [VerfasserIn]
Zhou, Fan [VerfasserIn]
Wu, Ping [VerfasserIn]
Liu, Bao [VerfasserIn]
Duan, Shaofeng [VerfasserIn]
Yu, Yongfu [VerfasserIn]
Guo, Weifeng [VerfasserIn]
Ju, Zhiguo [VerfasserIn]
Zhang, Longjiang [VerfasserIn]
Wang, Zhenguang [VerfasserIn]
Wang, Yuetao [VerfasserIn]
Lu, Bin [VerfasserIn]
Shi, Hongcheng [VerfasserIn]
Qian, Juying [VerfasserIn]
Ge, Junbo [VerfasserIn]

Links:

Volltext

Themen:

Amygdalar activity
Coronary computed tomography angiography
Journal Article
Outcomes
Plaque vulnerability
Positron emission tomography
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 10.11.2023

Date Revised 13.12.2023

published: Print-Electronic

CommentIn: JACC Cardiovasc Imaging. 2023 Nov;16(11):1416-1418. - PMID 37294243

Citation Status MEDLINE

doi:

10.1016/j.jcmg.2023.04.004

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM357713001