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Acute Myocardial Infarction Clinical Cohort
Sponsor: Shanghai Zhongshan Hospital
Summary
This prospective, multicenter, observational cohort study aims to establish a comprehensive clinical database and high-quality biobank for patients with Acute Myocardial Infarction (AMI) in China. The study plans to enroll 2,000 AMI patients across four major medical centers to collect standardized clinical data, multi-modality imaging, and biological samples. A key focus of this study is the deep phenotyping of high-risk subgroups, including patients with vulnerable plaques, Myocardial Infarction with Non-obstructive Coronary Arteries (MINOCA), and borderline coronary lesions. By integrating advanced multi-omics sequencing (Whole Genome Sequencing, RNA-seq, single-cell RNA sequencing, and Olink proteomics) with cutting-edge AI-driven imaging radiomics (CCTA, OCT, IVUS, and novel intracoronary fluorescence imaging), the study seeks to elucidate the molecular mechanisms of AMI. The ultimate goal is to discover novel biomarkers for early warning, develop precise risk prediction models for Major Adverse Cardiovascular Events (MACE), and facilitate the development of personalized diagnostic and therapeutic strategies for AMI patients.
Key Details
Gender
All
Age Range
14 Years - Any
Study Type
OBSERVATIONAL
Enrollment
2000
Start Date
2025-04-01
Completion Date
2028-12-31
Last Updated
2026-04-13
Healthy Volunteers
No
Conditions
Interventions
Deep multi-omics analysis
Comprehensive molecular profiling of peripheral blood samples using a multi-omics approach. This includes Whole Genome Sequencing (WGS) to identify genetic variants, bulk RNA sequencing (RNA-seq) for transcriptomic profiling, single-cell RNA sequencing (scRNA-seq) to analyze immune cell heterogeneity in high-risk patients, and Olink multiplex assays for high-throughput proteomics (\>1,000 proteins). This analysis aims to identify novel circulating biomarkers and elucidate the molecular mechanisms of Acute Myocardial Infarction (AMI).
Advanced AI-Driven Cardiovascular Imaging
Detailed morphological and functional assessment of coronary arteries using advanced imaging modalities combined with artificial intelligence (AI) and radiomics. Assessments include Coronary Computed Tomography Angiography (CCTA) plaque radiomics, Optical Coherence Tomography (OCT), Intravascular Ultrasound (IVUS), Quantitative Flow Ratio (QFR) for hemodynamics, and novel Intracoronary Fluorescence Imaging. These tools are utilized to quantitatively evaluate plaque vulnerability, predict rupture risk, and develop AI-based prognostic models for AMI patients.
Locations (1)
Zhongshan Hospital, Fudan University
Shanghai, China