Atrial fibrosis is a hallmark of atrial cardiomyopathy and plays a pivotal role in the pathogenesis of atrial fibrillation (AF), contributing to its onset and progression. The mechanisms underlying atrial fibrosis are multifaceted, involving stretch-induced fibroblast activation, oxidative stress, inflammation, and coagulation pathways. Variations in fibrosis types—reactive and replacement fibrosis—are influenced by patient-specific factors such as age, sex, and comorbidities, complicating therapeutic approaches. The heterogeneity of fibrosis leads to distinct electrophysiological abnormalities that promote AF via reentrant activity and enhanced automaticity mechanisms. Despite advancements in imaging, such as late gadolinium enhancement CMR and electroanatomical mapping, challenges in accurately quantifying fibrosis persist. Emerging therapeutic strategies include antifibrotic agents targeting the renin–angiotensin–aldosterone system, novel pathways like TGF-β signaling, and cardio-metabolic drugs like SGLT2 inhibitors and GLP-1 receptor agonists. Innovative interventions, including microRNA modulation and lipid nanoparticle-based therapies, show promise but require validation. Knowledge gaps remain in correlating clinical outcomes with fibrosis patterns and optimizing diagnostic tools. Future research should focus on precise phenotyping, integrating advanced imaging with molecular biomarkers, and conducting robust trials to evaluate antifibrotic therapies’ efficacy in reducing AF burden and related complications.
The global rise in diabetes prevalence has significantly contributed to the increasing burden of atherosclerotic cardiovascular disease (ASCVD), a leading cause of morbidity and mortality in this population. Diabetes accelerates atherosclerosis through mechanisms such as hyperglycemia, oxidative stress, chronic inflammation, and epigenetic dysregulation, leading to unstable plaques and an elevated risk of cardiovascular events. Despite advancements in controlling traditional risk factors like dyslipidemia and hypertension, a considerable residual cardiovascular risk persists, highlighting the need for innovative therapeutic approaches. Emerging treatments, including sodium–glucose cotransporter 2 (SGLT2) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, epigenetic modulators, and RNA-based therapies, are showing promise in addressing the unique challenges of diabetes-associated ASCVD. Precision medicine strategies, such as nanoparticle-based drug delivery and cell-specific therapies, offer further potential for mitigating cardiovascular complications. Advances in multiomics and systems biology continue to deepen our understanding of the molecular mechanisms driving diabetes-associated atherosclerosis. This review synthesizes recent advances in understanding the pathophysiology and treatment of diabetes-related atherosclerosis, offering a roadmap for future research and precision medicine approaches to mitigate cardiovascular risk in this growing population.
Atrial fibrillation (AF) is increasingly recognized not merely as an arrhythmia, but as a clinical manifestation of atrial cardiomyopathy (AtCM)—a progressive, multifaceted disease of the atrial myocardium involving structural, electrical, mechanical, and molecular remodeling. AtCM often precedes AF onset, sustains its perpetuation, and contributes to thromboembolic risk independently of rhythm status. Emerging evidence implicates diverse pathophysiological drivers of AtCM, including inflammation, epicardial adipose tissue, metabolic dysfunction, oxidative stress, ageing, and sex-specific remodeling. The NLRP3 inflammasome has emerged as a central effector in atrial inflammation and remodeling. Gut microbial dysbiosis, lipid dicarbonyl stress, and fibro-fatty infiltration are also increasingly recognized as contributors to arrhythmogenesis. AtCM is further linked to atrial functional valve regurgitation and adverse outcomes in AF. Therapeutically, substrate-directed strategies—ranging from metabolic modulation and immunomodulation to early rhythm control—offer promise for altering the disease trajectory. This review synthesizes mechanistic insights into AtCM and discusses emerging therapeutic paradigms that aim not merely to suppress arrhythmia but to modify the underlying substrate. Recognizing AF as a syndrome of atrial disease reframes management strategies and highlights the urgent need for precision medicine approaches targeting the atrial substrate.
Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia, associated with significant morbidity, mortality, and healthcare burden. Despite advances in AF management, challenges persist in early detection, risk stratification, and treatment optimization, necessitating innovative solutions. Artificial intelligence (AI) has emerged as a transformative tool in AF care, leveraging machine learning and deep learning algorithms to enhance diagnostic accuracy, improve risk prediction, and guide therapeutic interventions. AI-powered electrocardiographic screening has demonstrated the ability to detect asymptomatic AF, while wearable photoplethysmography-based technologies have expanded real-time rhythm monitoring beyond clinical settings. AI-driven predictive models integrate electronic health records and multimodal physiological data to refine AF risk stratification, stroke prediction, and anticoagulation decision making. In the realm of treatment, AI is revolutionizing individualized therapy and optimizing anticoagulation management and catheter ablation strategies. Notably, AI-enhanced electroanatomic mapping and real-time procedural guidance hold promise for improving ablation success rates and reducing AF recurrence. Despite these advancements, the clinical integration of AI in AF management remains an evolving field. Future research should focus on large-scale validation, model interpretability, and regulatory frameworks to ensure widespread adoption. This review explores the current and emerging applications of AI in AF, highlighting its potential to enhance precision medicine and patient outcomes.
Cardiac arrhythmias, including atrial fibrillation and ventricular arrhythmias, remain leading causes of morbidity and mortality worldwide. While structural, electrical, and metabolic remodeling have long been recognized as drivers of arrhythmogenesis, emerging evidence identifies inflammation—particularly inflammasome signaling—as a central orchestrator of this pathological triad. Among the various inflammasome complexes, the NLRP3 inflammasome has garnered particular attention due to its activation in cardiomyocytes, fibroblasts, and immune cells in diverse clinical contexts. NLRP3 activation precipitates a cascade of downstream events, including interleukin-1β and -18 maturation, oxidative stress amplification, calcium mishandling, and extracellular matrix remodeling, thereby fostering a proarrhythmic substrate. This review synthesizes mechanistic and translational data implicating inflammasome signaling in both atrial and ventricular arrhythmias, with a focus on cellular specificity and electrophysiological sequelae. We explore upstream triggers, such as metabolic stress, gut dysbiosis, and epicardial adipose inflammation, and delineate the downstream impact on cardiac conduction and structural integrity. Emerging therapeutic strategies—including NLRP3 inhibitors, IL-1 antagonists, colchicine, and SGLT2 inhibitors—are critically appraised for their anti-inflammatory and antifibrotic potential. By bridging molecular insights with clinical application, this review underscores the inflammasome as a unifying mechanistic hub in arrhythmia pathogenesis and a promising target for precision-guided therapy.
Coronary microvascular dysfunction (CMD) is a key contributor to myocardial ischemia and adverse cardiovascular outcomes, particularly in individuals with metabolic disorders such as type 2 diabetes (T2D). While conventional therapies primarily target epicardial coronary disease, effective treatments for CMD remain limited. Glucagon-like peptide-1 receptor (GLP-1R) agonists have emerged as promising agents with cardiovascular benefits extending beyond glycemic control. Preclinical and clinical evidence suggests that GLP-1R activation enhances coronary microvascular function through mechanisms including improved endothelial function, increased nitric oxide bioavailability, attenuation of oxidative stress, and reduced vascular inflammation. Moreover, GLP-1R agonists have been shown to improve myocardial blood flow, myocardial perfusion reserve, and coronary endothelial function, particularly in high-risk populations. Despite these promising findings, inconsistencies remain across studies due to variability in patient populations, study designs, and imaging methodologies. This review summarizes current evidence on the role of GLP-1R agonists in myocardial perfusion, bridging mechanistic insights with clinical outcomes. Further large-scale, well-designed trials are needed to clarify their long-term impact on coronary microcirculation and explore their potential as targeted therapies for CMD.