Up to 4 million patients with signs of myocardial ischemia have no obstructive coronary artery disease (CAD). The absence of precise guidelines for diagnosis and treatment in non-obstructive CAD encourages the scientific community to fill the gap knowledge, to provide non-invasive and less expensive diagnostic tools. The aim of our study was to explore the biological profile of Ischemia with Non-Obstructive Coronary Arteries (INOCA) patients with microvascular dysfunction compared to patients presenting with obstructive chronic coronary syndrome (ObCCS) in order to find specific hallmarks of each clinical condition. We performed a gene expression array from peripheral blood mononuclear cells (PBMCs) isolated from INOCA (n = 18) and ObCCS (n = 20) patients. Our results showed a significantly reduced gene expression of molecules involved in cell adhesion, signaling, vascular motion, and inflammation in INOCA as compared to the ObCCS group. In detail, we found lower expression of Platelet and Endothelial Cell Adhesion Molecule 1 (CD31, p < 0.0001), Intercellular Adhesion Molecule-1 (ICAM1, p = 0.0004), Tumor Necrosis Factor (TNF p = 0.0003), Transferrin Receptor (TFRC, p = 0.002), and Vascular Endothelial Growth Factor A (VEGFA, p = 0.0006) in the INOCA group compared with ObCCS. Meanwhile, we observed an increased expression of Hyaluronidase (HYAL2, p < 0.0001) in INOCA patients in comparison to ObCCS. The distinct expression of molecular biomarkers might allow an early and non-invasive differential diagnosis between ObCCS and INOCA, improving clinical management and treatment options, in the era of personalized medicine.

Mitral valve prolapse (MVP) is generally associated with excellent long-term outcomes when MR is absent or mild. Nonetheless, a small proportion of patients exhibit a distinct arrhythmogenic susceptibility, characterized by complex ventricular ectopy, sustained ventricular arrhythmias (VAs), and in rare instances, sudden cardiac death (SCD). This subgroup—collectively referred to as arrhythmic MVP (AMVP)—has prompted renewed attention in identifying individuals at elevated risk. Among the structural alterations associated with MVP, mitral annular disjunction (MAD) has gained recognition as a major contributor to arrhythmic vulnerability, arising from the pathological separation of the posterior annulus from the adjacent ventricular muscle. Advances in multimodality imaging, including trans-thoracic echocardiography (TTE), cardiac magnetic resonance (CMR), and cardiac computed tomography (cCT), have significantly improved delineation of MAD and clarified its relationship to the broader MVP spectrum. Current evidence suggests that MVP, MAD, and AMVP should not be regarded as isolated conditions but as intersecting phenotypes within a shared pathological framework. In certain patients, especially those without established myocardial fibrosis, abnormal annular dynamics appear to constitute the primary arrhythmogenic driver and may diminish after surgical intervention. In others, persistent arrhythmias despite optimal repair reflect a fibrosis-based substrate. This review synthesizes contemporary insights into the anatomical, biomechanical, and electrophysiological interplay linking MVP, MAD, and ventricular arrhythmogenesis, emphasizing implications for imaging-based risk assessment and individualized surgical management strategies.

Growing evidence indicates that myocardial infarction (MI) is the clinical manifestation of heterogeneous plaque substrates with distinct molecular, cellular, and biomechanical mechanisms. Acute coronary thrombosis (ACT) most commonly arises from plaque rupture (PR), plaque erosion (PE), and calcified nodules (CNs), each associated with different inflammatory profiles, thrombus composition, clinical presentation, and prognosis. This comprehensive review provides a clinician-oriented synthesis of the pathophysiological mechanisms underlying these three principal plaque phenotypes and discusses their implications for the contemporary management of acute coronary syndromes (ACS). We examine the molecular and cellular determinants of plaque instability and highlight how systemic factors such as plaque burden, impaired healing responses, and myocardial jeopardy modulate clinical risk. The role of intracoronary and non-invasive imaging is discussed primarily as a tool to elucidate plaque biology with direct clinical relevance rather than merely as a procedural guide. Building on these insights, we propose a conceptual framework for integrating plaque biology into clinical decision-making across the acute phase, secondary prevention, and long-term follow-up. In particular, recognizing the biological heterogeneity of plaque substrates may support more personalized therapeutic strategies, enabling clinicians to tailor pharmacological and interventional approaches according to the underlying plaque phenotype and patient-specific risk profile. Finally, we briefly address emerging perspectives, including the potential role of artificial intelligence (AI) in refining plaque characterization, risk stratification, and precision cardiovascular prevention. Overall, recognition of PR, PE, and CNs as biologically distinct entities supports a shift toward mechanism-informed and personalized management of MI, aligning advances in plaque biology with the principles of precision cardiovascular medicine.

Background: Epicardial adipose tissue (EAT) is a metabolically active visceral fat depot implicated in cardiometabolic and cardiovascular (CV) disease. Although cardiac magnetic resonance (CMR) and cardiac computed tomography (cCT) enable accurate volumetric quantification of EAT, their cost, limited availability, and—particularly for cCT—radiation exposure, restrict their use in preventive and longitudinal settings. Transthoracic echocardiography (TTE) is widely accessible and radiation-free, but its validity as a surrogate of volumetric EAT assessment and its broader clinical role remain incompletely defined. Objectives: To systematically synthesize disease-specific evidence linking TTE-derived EAT thickness with major CV phenotypes and to quantitatively assess its association with volumetric EAT measured by CMR or cCT. Methods: A systematic search of PubMed and PubMed Central (January 2000–December 2025) identified adult studies evaluating associations between TTE-derived EAT thickness and coronary artery disease (CAD), atrial fibrillation (AF), or heart failure with preserved ejection fraction (HFpEF), and correlations between TTE-derived EAT thickness and CMR- or cCT-derived EAT volume. Correlation coefficients were pooled using a random-effects model after Fisher’s z-transformation. An exploratory meta-analysis assessed associations with major adverse cardiovascular events (MACE). Results: Seventeen disease-specific studies consistently demonstrated associations between increased TTE-derived EAT thickness and CAD severity, AF burden and recurrence, and adverse HFpEF phenotypes. Five validation studies were included; four comparing TTE with CMR were pooled, yielding a moderate-to-strong correlation ( r = 0.77, 95% CI 0.65–0.93; p < 0.01; I² = 92.9%). Several studies reported associations between TTE- EAT thickness and cCT-derived EAT parameters. However, only one cCT study met our predefined criteria for inclusion in the quantitative validation analysis, whereas the remaining cCT studies were retained in the qualitative synthesis because of substantial methodological heterogeneity in cCT acquisition, segmentation approaches, and outcome definitions. Exploratory prognostic analysis suggested a directional association between increased TTE-derived EAT thickness and MACE. Conclusions: TTE-derived EAT thickness correlates with volumetric EAT and is consistently associated with major CV phenotypes. Standardization and prospective outcome-driven validation are required before routine clinical implementation.

Background: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterized by immune dysregulation and systemic inflammation, with the cardiovascular (CV) system representing a major yet frequently under-recognized target. Cardiac involvement spans from subclinical myocardial inflammation to overt pericardial disease, myocarditis, valvular abnormalities, coronary microvascular dysfunction, and accelerated atherosclerosis. Given that CV disease remains a leading cause of morbidity and mortality in SLE, early detection of silent cardiac injury is crucial. Aim: This review aims to provide a comprehensive and clinically oriented overview of CV involvement in SLE, focusing on the role of multimodal cardiac imaging in the detection, characterization, and risk stratification of cardiac abnormalities, as well as its potential implications for clinical management and preventive strategies. Methods: This narrative review is based on a structured, non-systematic search of PubMed (2013–2026), combining the term “systemic lupus erythematosus” with imaging-related keywords including “transthoracic echocardiography,” “cardiac magnetic resonance,” and “cardiac computed tomography.” English-language studies in adult populations were screened and selected according to clinical relevance, methodological robustness, and contribution to understanding SLE-related cardiac involvement. Discussion: Multimodal cardiac imaging plays a central role in the evaluation of SLE-related cardiac disease. Transthoracic echocardiography (TTE) represents the first-line modality for the assessment of ventricular function, pericardial disease, and valvular abnormalities, while deformation imaging enables the detection of subtle myocardial dysfunction. Cardiac magnetic resonance (CMR) provides comprehensive tissue characterization, allowing differentiation between active inflammation and chronic fibrosis. Cardiac computed tomography (cCT) identifies subclinical coronary atherosclerosis and high-risk plaque features, whereas nuclear imaging techniques offer insight into inflammatory activity and microvascular dysfunction. Conclusions: An integrated, imaging-based approach enables early diagnosis, refined CV risk stratification, longitudinal monitoring, and personalized therapeutic strategies. Multimodal imaging thus represents a key pillar of precision medicine in lupus-associated CV disease.