The journal focuses on all types of diseases affecting the heart and the small and large vessels throughout the body. These can be broadly categorized but not restricted to:
Cardiomyopathies (e.g. dilated, hypertrophic and arrhythmogenic cardiomyopathy).
Arrhythmias (e.g. Atrial fibrillation, atrial flutter).
Valvular heart diseases (e.g. rheumatic heart disease, bicuspid valve, Marfan syndrome, congenital).
Congenital heart diseases (e.g. aortic stenosis, atrial septal defects, pulmonary stenosis, tetralogy of Fallot, Pulmonary Arterial Hypertension).
Immunity, inflammation in cardiovascular diseases (e.g. COVID-19, endothelial dysfunction).
Vascular diseases (e.g. coronary artery disease, aneurysm, atherosclerosis, calcification).
Cerebrovascular diseases (e.g. stroke, small vessels disease and vascular dementia. Studies should focus on the vascular and not the neuronal aspect of these diseases.
BMC Cardiovascular Disorders considers papers describing all well-established clinical and experimental approaches. However, we are particularly interested in studies describing state-of-the art experimental designs and new technologies, as well as studies of interdisciplinary nature. A non-exhaustive list of subjects is below:
Cardiac regeneration and tissue engineering (e.g. stem-cell based therapy paracrine effects, gene therapy, direct cell-cell conversion/reprogramming, cell-cycle checkpoints release, inflammatory response, 3D scaffolds, cardiac patches).
In vitro modelling of heart and circulatory disorders (e.g. induced pluripotent stem cells-based, gene editing, animal models, cardiac organoids and organ-on-chip models).
System-based approaches in Cardiovascular Disorders (e.g. Network Biology, ‘Omics’, Systems Genetics).
Surgical advancements (e.g. heart transplantation, aortic valve replacement).
Computational modelling, artificial intelligence and cardiovascular disorders (e.g. medical devices, instrumentation, diagnosis and risk prediction, personalized treatment, medical imaging, biomarkers modelling, biomechanical modelling, biophysical modelling, drug effect modelling).
Digital Healthcare and Cardiovascular Disorders (e.g. sensors for health monitoring, mobile apps, remote medical care, telemedicine).