Multi-omics Study of Clinical Endpoints in CHD
NCT03797339 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 4000
Last updated 2019-02-12
Summary
This study aimed to explore underlying mechanisms of individual differences in drugs for coronary heart disease treatment and its association with adverse consequences. It will enroll approximately 4000 coronal heart disease patients aged between 18 and 80 years in mainland China and follow-up for at least 1 years. Questionnaires, anthropometric measures, laboratory tests, and biomaterials will be collected . The principal clinical outcomes of the study consist of ischemia attack , cardiac death, renal injury,and myotoxic activity.
Conditions
Interventions
- OTHER
-
risk factors of adverse cardiovascular events
During the follow-up period,general information(age, sex, BMI, blood pressure, the history of drink and smoke, medical history, etc).Blood biochemistry parameters(Lipid, hsCRP levels, etc)and other laboratory examination parameters will be collected
- OTHER
-
multi-omics target discovery
Genome-wide genotype , DNA methylation and metabolomes were determined using illumina high-density genotyping chips, high-throughput sequencing, and high-resolution mass spectrometry respectly. Blood exposure of statins and metoprolol and its metabolites was determined by UPLC-MS/MS.
- OTHER
-
validation
The genome-wide genotype of patients with coronary heart disease was detected using the illumina chip. The methylation level of the functional region was detected by the target region enrichment methylation sequencing method. Intestinal flora differences were detected using 16SrDNA high-throughput sequencing.
- OTHER
-
Predictive mathematical models
Machine learning algorithms such as multiple linear regression or Bayesian classification are used to optimize clinical factors and multi-group targets to establish predictive mathematical models.
Sponsors & Collaborators
-
RenJi Hospital
collaborator OTHER -
West China Hospital
collaborator OTHER -
Xiangya Hospital of Central South University
collaborator OTHER -
First Affiliated Hospital, Sun Yat-Sen University
collaborator OTHER -
Guangdong Provincial People's Hospital
lead OTHER
Principal Investigators
-
Shilong Zhong, Ph.D · Guangdong Provincial People's Hospital
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2017-07-01
- Primary Completion
- 2019-12-31
- Completion
- 2020-12-31
Countries
- China
Study Locations
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