This study aims to identify novel inflammatory biomarkers in AC, whether in circulating blood, in situ or as imaging biomarkers to better understand the pathophysiology of the disease and then to determine contribution to the clinical management of patients.
The treatment of AC remains based on palliative measures aimed at treating the consequences of the disease: antiarrhythmic treatments, defibrillator, treatments for heart failure. The identification of new biomarkers, in particular circulating ones, would make it possible to open pathophysiology avenues which, in the long term, could lead to therapies targeted to autoimmunity or inflammation. Many scientific and medical questions remain unanswered and require precise databases on the diagnostic and prognostic evaluation of this pathology. The objective of this study is to identify novel inflammatory biomarkers in patients with AC by studying the autoimmunity, inflammatory, and immunological profiles through blood samples and myocardial biopsies.
Study Type
OBSERVATIONAL
Enrollment
300
-Additional blood samples -Myocarditis biopsy sample (routine care) -Additional pericardial fluid sample (routine care)
None (only data collection)
Institut de Cardiologie de la Pitié-Salpêtrière
Paris, France
Measure the correlation between the autoimmunity, inflammatory, and immunological profiles through biomarkers found in blood samples, myocardial biopsies, mass imaging cytometry, and cardiac imaging in patients with Arrhythmogenic Cardiomyopathy (AC)
Time frame: 10 years
Measure the correlation between circulating biomarkers and the severity of the phenotype determined by the severity of AC and multi-modality imaging
Time frame: 10 years
Measure the correlation between imaging biomarkers and electrocardiogram (ECG) parameters (presence of repolarization and depolarization abnormalities)
Time frame: 10 years
Measure the changes in inflammatory biomarkers in serum and cardiac imaging over time
Time frame: 10 years
Demonstrate a correlation between circulating and imaging biomarkers and the link between the extent of fibro-adipose infiltrates and the ventricular strain
Time frame: 10 years
Measure the correlation between circulating and imaging biomarker values and electro-anatomical mapping data
Time frame: 10 years
Screening for cardiotropic virus in pericardial fluid and circulating blood sampled in routine care during epicardial ablation by PCR
Time frame: 10 years
Measure the correlation between the presence of a pathogenic or common genetic variant and serum/imaging biomarkers.
Time frame: 10 years
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