ABSTRACT
Postoperative atrial fibrillation (POAF) is a common complication of coronary artery
bypass grafting (CABG) procedures. However, the molecular mechanism of POAF remains
poorly understood, hence the absence of effective prevention strategies. Here we used
targeted metabolomics on pericardial fluid and serum samples from CABG patients to
investigate POAF-associated metabolic alterations and related risk prediction of new-onset
AF. Nine differential metabolites in various metabolic pathways were found in both
pericardial fluid and serum samples from patients with POAF and without POAF. By using
machine learning algorithms and regression models, a 4-metabolite (aceglutamide, ornithine,
methionine, and arginine) risk prediction model was constructed and showed accurate
performance in predicting POAF in both discovery and validation sets. This work extends
the metabolic insights of the cardiac microenvironment and blood in patients with
POAF and paves the way for the use of targeted metabolomics for predicting POAF in
patients with CABG surgery.
Abbreviations:
AF (atrial fibrillation), AUC (area under curve), BMI (body mass index), CABG (coronary artery bypass grafting), DMs (differential metabolites), FDR (false discovery rate), fT3 (free triiodothyronine), fT4 (free thyroxine), HDL-C (high-density lipoprotein cholesterol), LDL-C (low-density lipoprotein cholesterol), LP(a) (lipoprotein-a), LVEF (left ventricular ejection fraction), PF (pericardial fluid), PCA (principal component analysis), PLS-DA (partial least squares discriminate analysis), POAF (postoperative atrial fibrillation), ROC (receiver operating curve), sdLDL-C (small dense low-density lipoprotein cholesterol), TC (total cholesterol), TG (triglyceride), TSH (thyroid stimulating hormone)To read this article in full you will need to make a payment
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Article info
Publication history
Published online: January 10, 2023
Accepted:
January 3,
2023
Received in revised form:
December 12,
2022
Received:
October 14,
2022
Publication stage
In Press Journal Pre-ProofIdentification
Copyright
© 2023 Elsevier Inc. All rights reserved.
