Association Analysis of Cardiovascular and Nervous System Diseases and Intestinal Microbiome Based on Multi-omics Big Data and Related Applications
Trial Parameters
Brief Summary
Research purpose 1. Combined with multi-omics data and advanced data mining methods, we explored the pathogenesis and potential application pathway of intestinal microbiome mediated by specific cardiovascular diseases (such as idiopathic ventricular tachycardia, stenosis after coronary artery stenting injury, etc.) and nervous system diseases (such as carotid atherosclerosis, moyamoya disease, etc.). 2. The secondary goal of this study is the construction of risk prediction model. Based on the pathogenesis identified by multi-omics association analysis, detailed dietary information and clinical information related to cardiovascular and nervous system diseases, the risk of cardiovascular and nervous system diseases was assessed and the disease risk model was constructed. 3. Based on the key genes and microorganisms excavated, disease-related machine learning models can be built, and models can be built to prevent and treat diseases. 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. Through the unremitting efforts of many scientists, the research on the association between intestinal flora and cardiovascular diseases (ventricular tachycardia/atrial fibrillation, carotid atherosclerosis, etc.) and nervous system diseases (Parkinson's disease, epilepsy, carotid atherosclerosis, etc.) has made breakthrough progress. However, the study of gut microbiota is still in its infancy, and it is not possible to deeply understand the complex regulatory processes between heart disease and nervous system diseases and gut microbiota, involving a large number of host genes, host metabolites, and associated bacteria and bacteria-related metabolites. Based on multi-omics data, the data integration method combined with machine learning analyzes the connection between cardiovascular and nervous system and gut microbes, helping to deepen the research on the mechanism related to heart disease and nervous system under the regulation of gut microbes and providing new ideas for the prevention and treatment of related diseases. This study will also promote the implementation of clinical interventions with precise flora and provide new ideas for the treatment of cardiovascular diseases and neurological diseases.
Eligibility Criteria
Inclusion criteria of idiopathic ventricular tachycardia: 1. Idiopathic ventricular tachycardia and frequent ventricular premature were recorded by routine 12-lead electrocardiogram or 24-hour holter electrocardiogram. It can meet the clinical diagnostic criteria of idiopathic speed and frequent ventricular premature. 2. 18 years ≤ age ≤75 years. Exclusion criteria for idiopathic ventricular tachycardia: 1. Patients with coronary heart disease, myocardial infarction, valvular heart disease, dilated cardiomyopathy, hypertrophic cardiomyopathy, congenital heart disease, heart failure and other organic heart disease. 2. Use of antibiotic drugs within 45 days. Case control inclusion criteria for idiopathic ventricular tachycardia: 1. Routine 12-lead ECG or 24-hour holter ECG did not find idiopathic ventricular tachycardia and frequent ventricular premature. 2. 18 years ≤ age ≤75 years. Case-control exclusion criteria for idiopathic ventricular tachycardia: 1. Patients with coronary heart d