Single Cell Sequencing and Multidimensional Omics Studies in Cardiovascular and Neurological Diseases
Research purpose Using single-cell sequencing, 3D/4D genomics and multidimensional omics technologies to reveal the complex cellular and molecular regulatory networks of cardiovascular and nervous system diseases, unique phenotypic changes of specific cell types, and different gene expression patterns, identify cell types and cell subsets associated with cardiovascular and nervous system diseases, and discover disease-related genes. To reveal new pathological mechanisms of related diseases and develop new diagnosis and treatment methods. Research background Cardiovascular and nervous system diseases such as arrhythmias (atrial fibrillation, ventricular tachycardia, ventricular fibrillation, postoperative vascular stenosis injury, etc.), heart failure, atherosclerosis (coronary heart disease, stroke, peripheral vascular disease, carotid atherosclerosis, etc.), epilepsy, moyamoya disease, etc., are currently leading to the main diseases affecting the health and death of residents in China. The data integration method based on single-cell sequencing, multi-omics data, and machine learning to analyze molecular level changes in cardiovascular and nervous system-related diseases can help deepen the research on the pathogenesis of cardiovascular and nervous system-related diseases and provide new ideas for the prevention and treatment of related diseases.
• Inclusion criteria for patients with valvular atrial fibrillation:
• Moderate or above mitral valve disease; The occurrence of atrial fibrillation was recorded by 12-lead electrocardiogram or 24-hour holter electrocardiogram. 3.18≤ Age ≤75 years old.
• Inclusion criteria for disease control of valvular atrial fibrillation:
• No moderate or above mitral valve disease; No history of atrial fibrillation, 24-hour holter electrocardiogram did not record the occurrence of atrial fibrillation. 3.18≤ Age ≤75 years old.
• Inclusion criteria for carotid atherosclerosis cases:
• Carotid atherosclerosis was confirmed by ultrasound, CTA and other imaging diagnosis. 2.18≤ Age ≤75 years old.
• Inclusion criteria for carotid atherosclerosis control:
• The inclusion criteria for carotid atherosclerosis cases were met. The peripheral tissue of the vascular plaque was discarded in the same patient.
• Inclusion criteria for moyamoya disease cases:
• Imaging diagnosis confirmed moyamoya disease; 2.18≤ Age ≤75 years old.
• Moyamoya disease control inclusion criteria:
⁃ Imaging diagnosis confirmed no moyamoya disease; 2.18≤ Age ≤75 years old.