NCT03797339

Multi-omics Study of Clinical Endpoints in CHD

Multi-omics Study of the Individual Differences of Drug Efficacy and Toxicity in Patients With Coronary Heart Disease

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 4,000 (estimated)
• Sponsor: Guangdong Provincial People's Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Not accepted

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.

Detailed description

The study is a multicenter prospective cohort study, aimed to explore underlying mechanisms of individual differences in drugs for coronary heart disease treatment and its association with adverse consequences.The genomic genotype, DNA methylation and metabolome of 1000 patients with coronary heart disease were determined using illumina high-density genotyping chip, high-throughput sequencing and high-resolution mass spectrometry. Blood exposures of statins and metoprolol and its metabolites was determined by UPLC-MS/MS. The biological network using cross-omics analysis was reconstructed to identify potential causative key genes, bacteria, and endogenous metabolite targets that cause differences in individual responses. A machine identification algorithm selecting clinical factors and multi-omics targets was used to establish a predictive mathematical model. A multi-center clinical cohort of 3000 coronal heart disease patients was used to verify the effects of various levels of omic targets on drug blood exposures, efficacy and toxic side effects. A comprehensive model based on multi-target combination of individualized drugs was constructed, and the predictive effect was clinically analyzed.

Conditions

• Coronary Heart Disease

Interventions

Type	Name	Description
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.

Timeline

• Start date: 2017-07-01
• Primary completion: 2019-12-31
• Completion: 2020-12-31
• First posted: 2019-01-09
• Last updated: 2019-02-12

Locations

5 sites across 1 country: China