Clinical Research Directory

Chinese Population Health and Multimorbidity Study

The Chinese Population Health and Multimorbidity Study (CPHMS; initially named China Pulmonary Health Study, CPHS) was a large-scale epidemiological survey designed to investigate the pulmonary health of Chinese adults aged 20 years or older leveraging a multistage stratified sampling scheme between 2011 and 2014 in mainland China. Briefly, a total number of 57,779 local residents were recruited from 10 representative provinces and municipalities and were invited to participate in the study. A final number of 50,991 adults who met the major inclusion criteria could be considered in further analyses. In order to investigate the changes of pulmonary health and disease status (e.g. occurrence and development of chronic respiratory diseases and other important relevant multimorbidities, lung function indices, etc.) and corresponding impact factors in the CPHMS study population, we plan to initiate the first round of follow-up investigation between 2025 and 2027 (planned) , i.e. more than 10 years after the baseline survey.

BRAZILIAN REGISTRY OF CHRONIC NON-COMMUNICABLE DISEASES IN PEOPLE LIVING WITH HIV/AIDS

BRAVO proposes the establishment of a comprehensive registry of chronic noncommunicable diseases (NCDs), providing crucial data for the formulation of effective health policies for people living with HIV/AIDS (PLWHA). The study will comprise a cross-sectional and longitudinal assessment: the cross-sectional study, will collect on the study allocation sociodemographic data, risk factors related to the main NCDs, physical examination data and samples for determination of biochemical and metabolic parameters; the longitudinal study, lasting 1 year and with the possibility of extension, will follow the participants to identify new diagnoses in the broad spectrum of NCDs. To this end, the study will include co-participating research centers from the 5 Brazilian geographic macro-regions.

Association Analysis of Cardiovascular and Nervous System Diseases and Intestinal Microbiome Based on Multi-omics Big Data and Related Applications

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.

Correlation Between Coronary Artery and Brain Study

To explore the pathogenesis of cardiovascular and cerebrovascular diseases through study on cardio-cerebral integration based on multimodal imaging technology, and clinical evaluation of its secondary diseases and intervention treatment. Cardiovascular and cerebrovascular diseases are leading causes of death and disability worldwide. Atherosclerosis of the large arteries of the brain and the heart has received extensive attention and in-depth research. By contrast, the epidemiology of small-vessel disease (SVD) of the brain and heart is less well established. The vascular anatomy of the heart and brain is similar in that conduit arteries are distributed on the surface of these organs with tissue perfusion achieved through deep penetrating arteries. In the heart, SVD involves the deep penetrating coronary arterioles and the subendocardial plexus of microvessels. The clinical sequelae of SVD in the heart include stable and acute coronary syndromes and heart failure in the longer term. SVD in the brain mainly involves small subcortical arterioles. If a vascular occlusion occurs, small lacunar lesions can occur, while long-term chronic ischemia caused by SVD may manifest as vascular cognitive impairment. There is a close relationship between cardiovascular and cerebrovascular diseases, and cardiovascular risk factors are related to the etiology of cerebral SVD. However, whether this relationship has a causal remains unclear. Thus, the study of cardiovascular and cerebrovascular integration based on multimodal imaging technology has important value for the diagnosis, efficacy evaluation, and prognosis judgment of cardiovascular and cerebrovascular diseases.