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"Immunoregulation in Atherosclerosis: A Single-Cell RNA Sequencing Study"
Sponsor: Hospital Israelita Albert Einstein
Summary
Atherosclerosis is the leading cause of acute cardiovascular events, such as myocardial infarction and stroke, and is a significant risk factor for cardiovascular mortality. The detailed understanding of the immune mechanisms and cellular transformations involved in the pathogenesis of atherosclerosis is still limited, and the use of single-cell RNA sequencing (scRNAseq) has revealed new cellular functions and subpopulations associated with disease progression. This study aims to identify cellular subpopulations, molecular pathways, and changes in gene expression related to the development of atherosclerosis in human coronary arteries. Using scRNAseq, the study seeks to characterize the transcriptomic landscape of cells present in atherosclerotic plaques and identify molecular signatures that reveal individual predispositions to specific phenotypes, such as disease susceptibility and response to therapies. The research will be conducted at the Albert Einstein Israeli Hospital in São Paulo and will involve samples from coronary arteries and atherosclerotic plaques of the explanted hearts of patients who have undergone heart transplants as well as from discarded material of coronary artery bypass graft surgery (CABG). With an estimated sample size of 20-30 plaques, the data obtained will allow for a detailed analysis of the molecular mechanisms involved in atherosclerosis, contributing to the development of specific therapeutic targets.
Official title: The Architectural Immunoregulation in Atherosclerotic Disease: A Single-Cell RNA Sequencing and Spatial Biology Approach
Key Details
Gender
All
Age Range
45 Years - 75 Years
Study Type
OBSERVATIONAL
Enrollment
30
Start Date
2025-06-25
Completion Date
2027-04-25
Last Updated
2025-06-10
Healthy Volunteers
No
Conditions
Interventions
Single Cell RNA Sequencing
Reprocessing Data normalization, dimensionality reduction, and clustering will be performed using the Seurat package (based on R). Cell types will be identified based on canonical marker gene expression. Cell Subpopulation Identification Clusters will be annotated based on signatures of known cell types (e.g., endothelial cells, smooth muscle cells, macrophages, etc.). Differential gene expression analysis will be conducted to identify disease-associated genes. Pathway and Function Enrichment Gene Set Enrichment Analysis (GSEA) and pathway analyses (e.g., KEGG, Reactome) will be carried out to investigate the biological processes and pathways driving atherosclerosis. Quality Control Sequencing reads will be assessed for quality using FASTQC, and low-quality reads will be filtered out. The Cell Ranger software (10x Genomics) will be used to align reads to the human genome and quantify gene expression at the single-cell level.
Locations (1)
Hospital Israelita Albert Einstein
São Paulo, São Paulo, Brazil