"Immunoregulation in Atherosclerosis: A Single-Cell RNA Sequencing Study"
NCT ID: NCT06860295
Last Updated: 2025-06-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
30 participants
OBSERVATIONAL
2025-06-25
2027-04-25
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Study Groups
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Coronary Plaques from Explanted Heart
The selected arteries will be dissected and microscopically evaluated, and the samples will be fixed in formalin, embedded in paraffin, and stained for histological analysis. The tissue will be enzymatically dissociated to obtain individual cells, which will then be filtered and assessed for cell viability. The cells will undergo single-cell RNA sequencing (scRNAseq) with the aim of analyzing around 5,000-10,000 cells per sample. The sample size will be 20-30 plaques, with the goal of capturing the main cellular populations and performing a robust analysis.
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.
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* Patients with coronary artery disease submitted to coronary artery bypass graft surgery (CABG)."
* Aged between 40 and 75 years;
* Signed informed consent form.
Exclusion Criteria
* History of cancer within the last 5 years or active malignancy;
* Recent use (within the last 6 months) of immunosuppressive therapy.
45 Years
75 Years
ALL
No
Sponsors
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Hospital Israelita Albert Einstein
OTHER
Responsible Party
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Carlos Vicente Serrano Junior
Principal Investigator
Locations
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Hospital Israelita Albert Einstein
São Paulo, São Paulo, Brazil
Countries
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Central Contacts
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References
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Zhang H, Viveiros A, Nikhanj A, Nguyen Q, Wang K, Wang W, Freed DH, Mullen JC, MacArthur R, Kim DH, Tymchak W, Sergi CM, Kassiri Z, Wang S, Oudit GY. The Human Explanted Heart Program: A translational bridge for cardiovascular medicine. Biochim Biophys Acta Mol Basis Dis. 2021 Jan 1;1867(1):165995. doi: 10.1016/j.bbadis.2020.165995. Epub 2020 Oct 22.
Rajab TK, Singh SK. Donation After Cardiac Death Heart Transplantation in America Is Clinically Necessary and Ethically Justified. Circ Heart Fail. 2018 Mar;11(3):e004884. doi: 10.1161/CIRCHEARTFAILURE.118.004884. No abstract available.
Price AL, Patterson N, Yu F, Cox DR, Waliszewska A, McDonald GJ, Tandon A, Schirmer C, Neubauer J, Bedoya G, Duque C, Villegas A, Bortolini MC, Salzano FM, Gallo C, Mazzotti G, Tello-Ruiz M, Riba L, Aguilar-Salinas CA, Canizales-Quinteros S, Menjivar M, Klitz W, Henderson B, Haiman CA, Winkler C, Tusie-Luna T, Ruiz-Linares A, Reich D. A genomewide admixture map for Latino populations. Am J Hum Genet. 2007 Jun;80(6):1024-36. doi: 10.1086/518313. Epub 2007 Apr 13.
Gouveia MH, Bentley AR, Leal TP, Tarazona-Santos E, Bustamante CD, Adeyemo AA, Rotimi CN, Shriner D. Unappreciated subcontinental admixture in Europeans and European Americans and implications for genetic epidemiology studies. Nat Commun. 2023 Nov 7;14(1):6802. doi: 10.1038/s41467-023-42491-0.
Hu Z, Liu W, Hua X, Chen X, Chang Y, Hu Y, Xu Z, Song J. Single-Cell Transcriptomic Atlas of Different Human Cardiac Arteries Identifies Cell Types Associated With Vascular Physiology. Arterioscler Thromb Vasc Biol. 2021 Apr;41(4):1408-1427. doi: 10.1161/ATVBAHA.120.315373. Epub 2021 Feb 25.
Soehnlein O, Libby P. Targeting inflammation in atherosclerosis - from experimental insights to the clinic. Nat Rev Drug Discov. 2021 Aug;20(8):589-610. doi: 10.1038/s41573-021-00198-1. Epub 2021 May 11.
Fernandez DM, Rahman AH, Fernandez NF, Chudnovskiy A, Amir ED, Amadori L, Khan NS, Wong CK, Shamailova R, Hill CA, Wang Z, Remark R, Li JR, Pina C, Faries C, Awad AJ, Moss N, Bjorkegren JLM, Kim-Schulze S, Gnjatic S, Ma'ayan A, Mocco J, Faries P, Merad M, Giannarelli C. Single-cell immune landscape of human atherosclerotic plaques. Nat Med. 2019 Oct;25(10):1576-1588. doi: 10.1038/s41591-019-0590-4. Epub 2019 Oct 7.
Wirka RC, Wagh D, Paik DT, Pjanic M, Nguyen T, Miller CL, Kundu R, Nagao M, Coller J, Koyano TK, Fong R, Woo YJ, Liu B, Montgomery SB, Wu JC, Zhu K, Chang R, Alamprese M, Tallquist MD, Kim JB, Quertermous T. Atheroprotective roles of smooth muscle cell phenotypic modulation and the TCF21 disease gene as revealed by single-cell analysis. Nat Med. 2019 Aug;25(8):1280-1289. doi: 10.1038/s41591-019-0512-5. Epub 2019 Jul 29.
Kim K, Park SE, Park JS, Choi JH. Characteristics of plaque lipid-associated macrophages and their possible roles in the pathogenesis of atherosclerosis. Curr Opin Lipidol. 2022 Oct 1;33(5):283-288. doi: 10.1097/MOL.0000000000000842. Epub 2022 Aug 3.
Chattopadhyay A, Guan P, Majumder S, Kaw K, Zhou Z, Zhang C, Prakash SK, Kaw A, Buja LM, Kwartler CS, Milewicz DM. Preventing Cholesterol-Induced Perk (Protein Kinase RNA-Like Endoplasmic Reticulum Kinase) Signaling in Smooth Muscle Cells Blocks Atherosclerotic Plaque Formation. Arterioscler Thromb Vasc Biol. 2022 Aug;42(8):1005-1022. doi: 10.1161/ATVBAHA.121.317451. Epub 2022 Jun 16.
Su C, Lu Y, Wang Z, Guo J, Hou Y, Wang X, Qin Z, Gao J, Sun Z, Dai Y, Liu Y, Liu G, Xian X, Cui X, Zhang J, Tang J. Atherosclerosis: The Involvement of Immunity, Cytokines and Cells in Pathogenesis, and Potential Novel Therapeutics. Aging Dis. 2023 Aug 1;14(4):1214-1242. doi: 10.14336/AD.2022.1208.
Serrano CV Jr, Yoshida VM, Venturinelli ML, D'Amico E, Monteiro HP, Ramires JA, da Luz PL. Effect of simvastatin on monocyte adhesion molecule expression in patients with hypercholesterolemia. Atherosclerosis. 2001 Aug;157(2):505-12. doi: 10.1016/s0021-9150(00)00757-7.
Li Q, Wang M, Zhang S, Jin M, Chen R, Luo Y, Sun X. Single-cell RNA sequencing in atherosclerosis: Mechanism and precision medicine. Front Pharmacol. 2022 Oct 4;13:977490. doi: 10.3389/fphar.2022.977490. eCollection 2022.
Serrano CV Jr, de Mattos FR, Pitta FG, Nomura CH, de Lemos J, Ramires JAF, Kalil-Filho R. Association between Neutrophil-Lymphocyte and Platelet-Lymphocyte Ratios and Coronary Artery Calcification Score among Asymptomatic Patients: Data from a Cross-Sectional Study. Mediators Inflamm. 2019 Mar 26;2019:6513847. doi: 10.1155/2019/6513847. eCollection 2019.
Makover ME, Shapiro MD, Toth PP. There is urgent need to treat atherosclerotic cardiovascular disease risk earlier, more intensively, and with greater precision: A review of current practice and recommendations for improved effectiveness. Am J Prev Cardiol. 2022 Aug 6;12:100371. doi: 10.1016/j.ajpc.2022.100371. eCollection 2022 Dec.
Other Identifiers
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AteroImunoHIAE
Identifier Type: -
Identifier Source: org_study_id
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