High-Dimensional Single-Cell Multimodal Landscape of Human Carotid Atherosclerosis.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
16 Jul 2023
Historique:
pubmed: 28 7 2023
medline: 28 7 2023
entrez: 28 7 2023
Statut: epublish

Résumé

Atherosclerotic plaques are complex tissues composed of a heterogeneous mixture of cells. However, we have limited understanding of the comprehensive transcriptional and phenotypical landscape of the cells within these lesions. To characterize the landscape of human carotid atherosclerosis in greater detail, we combined cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) and single-cell RNA sequencing (scRNA-seq) to classify all cell types within lesions (n=21; 13 symptomatic) to achieve a comprehensive multimodal understanding of the cellular identities of atherosclerosis and their association with clinical pathophysiology. We identified 25 distinct cell populations each having a unique multi-omic signature, including macrophages, T cells, NK cells, mast cells, B cells, plasma cells, neutrophils, dendritic cells, endothelial cells, fibroblasts, and smooth muscle cells (SMCs). Within the macrophage populations, we identified 2 proinflammatory subsets that were enriched in IL1B or C1Q expression, 2 distinct TREM2 positive foam cell subsets, one of which also expressed inflammatory genes, as well as subpopulations displaying a proliferative gene expression signature and one expressing SMC-specific genes and upregulation of fibrotic pathways. An in-depth characterization uncovered several subsets of SMCs and fibroblasts, including a SMC-derived foam cell. We localized this foamy SMC to the deep intima of coronary atherosclerotic lesions. Using CITE-seq data, we also developed the first flow cytometry panel, using cell surface proteins CD29, CD142, and CD90, to isolate SMC-derived cells from lesions. Last, we found that the proportion of efferocytotic macrophages, classically activated endothelial cells, contractile and modulated SMC-derived cell types were reduced, and inflammatory SMCs were enriched in plaques of clinically symptomatic vs. asymptomatic patients. Our multimodal atlas of cell populations within atherosclerosis provides novel insights into the diversity, phenotype, location, isolation, and clinical relevance of the unique cellular composition of human carotid atherosclerosis. This facilitates both the mapping of cardiovascular disease susceptibility loci to specific cell types as well as the identification of novel molecular and cellular therapeutic targets for treatment of the disease.

Sections du résumé

Background UNASSIGNED
Atherosclerotic plaques are complex tissues composed of a heterogeneous mixture of cells. However, we have limited understanding of the comprehensive transcriptional and phenotypical landscape of the cells within these lesions.
Methods UNASSIGNED
To characterize the landscape of human carotid atherosclerosis in greater detail, we combined cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) and single-cell RNA sequencing (scRNA-seq) to classify all cell types within lesions (n=21; 13 symptomatic) to achieve a comprehensive multimodal understanding of the cellular identities of atherosclerosis and their association with clinical pathophysiology.
Results UNASSIGNED
We identified 25 distinct cell populations each having a unique multi-omic signature, including macrophages, T cells, NK cells, mast cells, B cells, plasma cells, neutrophils, dendritic cells, endothelial cells, fibroblasts, and smooth muscle cells (SMCs). Within the macrophage populations, we identified 2 proinflammatory subsets that were enriched in IL1B or C1Q expression, 2 distinct TREM2 positive foam cell subsets, one of which also expressed inflammatory genes, as well as subpopulations displaying a proliferative gene expression signature and one expressing SMC-specific genes and upregulation of fibrotic pathways. An in-depth characterization uncovered several subsets of SMCs and fibroblasts, including a SMC-derived foam cell. We localized this foamy SMC to the deep intima of coronary atherosclerotic lesions. Using CITE-seq data, we also developed the first flow cytometry panel, using cell surface proteins CD29, CD142, and CD90, to isolate SMC-derived cells from lesions. Last, we found that the proportion of efferocytotic macrophages, classically activated endothelial cells, contractile and modulated SMC-derived cell types were reduced, and inflammatory SMCs were enriched in plaques of clinically symptomatic vs. asymptomatic patients.
Conclusions UNASSIGNED
Our multimodal atlas of cell populations within atherosclerosis provides novel insights into the diversity, phenotype, location, isolation, and clinical relevance of the unique cellular composition of human carotid atherosclerosis. This facilitates both the mapping of cardiovascular disease susceptibility loci to specific cell types as well as the identification of novel molecular and cellular therapeutic targets for treatment of the disease.

Identifiants

pubmed: 37502836
doi: 10.1101/2023.07.13.23292633
pmc: PMC10370238
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIDDK NIH HHS
ID : R01 DK134026
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL150359
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM125301
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL113147
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL166916
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL141745
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA013696
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL007343
Pays : United States
Organisme : NHLBI NIH HHS
ID : R21 HL156234
Pays : United States

Auteurs

Alexander C Bashore (AC)

Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.

Hanying Yan (H)

Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.

Chenyi Xue (C)

Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.

Lucie Y Zhu (LY)

Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.

Eunyoung Kim (E)

Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.

Thomas Mawson (T)

Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.

Johana Coronel (J)

Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.

Allen Chung (A)

Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.

Sebastian Ho (S)

Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.

Leila S Ross (LS)

Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.

Michael Kissner (M)

Columbia Stem Cell Initiative, Department of Genetics and Development, Columbia University Irving Medical Center, New York.

Emmanuelle Passegué (E)

Columbia Stem Cell Initiative, Department of Genetics and Development, Columbia University Irving Medical Center, New York.

Robert C Bauer (RC)

Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.

Lars Maegdefessel (L)

Department of Vascular and Endovascular Surgery, Technical University Munich, Germany.
German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance.
Karolinksa Institute, Department of Medicine.

Mingyao Li (M)

Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.

Muredach P Reilly (MP)

Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.
Irving Institute for Clinical and Translational Research, Columbia University Irving Medical Center, New York, NY.

Classifications MeSH