Background: New-onset postoperative atrial fibrillation (POAF) is one of the most common complications occurring in 10-40% of patients after coronary artery bypass graft (CABG) surgery. Recent studies suggest that dysmetabolism may contribute to the pathogenesis of atrial fibrillation; however, the putative mechanism in patients undergoing CABG surgery is unknown. Peroxisome proliferator-activated receptor γ coactivator-1α (PGC-1α) has been demonstrated as a master regulator of myocardial energy metabolism, and glucose transporter 3 (GLUT3) has both a higher affinity for glucose and a much greater transport capacity compared with GLUT1, GLUT2, and GLUT4. We sought to evaluate the role of energy metabolism, especially the glucose metabolism, on patients after isolated CABG surgery.
Methods And Results: Right atrial appendages were obtained from 79 patients who were in normal sinus rhythm and undergoing isolated CABG; those who exhibited new-onset POAF (n=22) or remained in sinus rhythm (n=57) were prospectively matched on the basis of preoperative, intraoperative, and postoperative characteristics. POAF was assessed by electrocardiogram and must have required the initiation of antiarrhythmic therapy or anticoagulation. Local PGC-1α and GLUT3 concentrations were quantified by enzyme-linked immunosorbent assay in tissue homogenates. The comparison of mRNA expression was tested by quantitative real-time PCR. PGC-1α and GLUT3 levels and the related protein mRNA expression were significantly reduced in POAF patients compared with controls (P<0.05). This selective reduction in PGC-1α was associated with the presence of diabetes mellitus (P<0.05).
Conclusion: Patients who have low PGC-1α and GLUT3 levels are at increased risk for new-onset POAF. The myofibrillar energetic impairment may be important in the pathogenesis of atrial fibrillation.
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http://dx.doi.org/10.1097/MCA.0000000000000081 | DOI Listing |
Curr Oncol Rep
January 2025
Department of Radiology, Albert Einstein College of Medicine and the Montefiore Medical Center, 111 East 210Th Street, Bronx, NY, 10461, USA.
Purpose Of Review: This paper reviewed the current literature on incidence, clinical manifestations, and risk factors of Chimeric Antigen Receptor T-cell (CAR-T) cardiotoxicity.
Recent Findings: CAR-T therapy has emerged as a groundbreaking treatment for hematological malignancies since FDA approval in 2017. CAR-T therapy is however associated with a few side effects, among which cardiotoxicity is of significant concern.
Eur J Clin Invest
January 2025
Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK.
Cureus
December 2024
Internal Medicine, University of Health Sciences, Lahore, PAK.
Acute coronary syndrome (ACS) remains a major global health burden, encompassing a spectrum of conditions from unstable angina to acute myocardial infarction. Despite advancements in early detection and management, ACS is often complicated by the development of heart failure. This systematic review and meta-analysis aimed to identify factors associated with the development of heart failure following acute coronary syndrome.
View Article and Find Full Text PDFCureus
December 2024
Cardiology, Avicenna Military Hospital, Marrakesh, MAR.
Introduction Atrial fibrillation (AF), the most common cardiac arrhythmia, poses challenges in predicting thromboembolic risk. While the CHADS-VASc (congestive heart failure, hypertension, age ≥ 75 years (doubled), type 2 diabetes mellitus, previous stroke, transient ischemic attack, or thromboembolism (doubled), vascular disease, age 65-74 years, and sex category) score remains essential, its limitations include failure to identify left atrial (LA) thrombus in some patients. Transesophageal echocardiography (TEE) provides superior detection of LA thrombi and thrombogenic factors compared to transthoracic echocardiography (TTE), improving risk stratification, especially in intermediate-risk groups.
View Article and Find Full Text PDFFront Cardiovasc Med
January 2025
Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Introduction: The risk of mortality associated with cardiac arrhythmias is considerable, and their diagnosis presents significant challenges, often resulting in misdiagnosis. This situation highlights the necessity for an automated, efficient, and real-time detection method aimed at enhancing diagnostic accuracy and improving patient outcomes.
Methods: The present study is centered on the development of a portable deep learning model for the detection of arrhythmias via electrocardiogram (ECG) signals, referred to as CardioAttentionNet (CANet).
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