Evidence map›Paper›PMID 37502836›Full record

ArticlemedRxiv : the preprint server for health sciences2023

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

Alexander C Bashore, Hanying Yan, Chenyi Xue, Lucie Y Zhu, Eunyoung Kim, Thomas Mawson, Johana Coronel, Allen Chung, Sebastian Ho, Leila S Ross and 6 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 3 countries.

Alexander C BashoreDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.
Hanying YanDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Chenyi XueDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.
Lucie Y ZhuDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.
Eunyoung KimDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.
Thomas MawsonDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.
Johana CoronelDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.
Allen ChungDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.
Sebastian HoDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.
Leila S RossDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.
Michael KissnerColumbia Stem Cell Initiative, Department of Genetics and Development, Columbia University Irving Medical Center, New York.
Emmanuelle PasseguéColumbia Stem Cell Initiative, Department of Genetics and Development, Columbia University Irving Medical Center, New York.
Robert C BauerDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.
Lars MaegdefesselDepartment of Vascular and Endovascular Surgery, Technical University Munich, Germany.
Mingyao LiDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Muredach P ReillyDivision of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York.
Columbia University · USUniversity of Pennsylvania · USColumbia University Irving Medical Center · USKarolinska Institutet · SE

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Anil K Rustgi · 1985 to 2026
$115.3M
POSTDOCTORAL TRAINING IN ARTERIOSCLEROSIS RESEARCHT32HL007343 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HENRY N GINSBERG, Muredach P Reilly · 1985 to 2026
$12.7M
Elucidation of Tissue-Specific Transcriptomic Profiles in Cardiometabolic DiseaseR01HL113147 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO, REILLY, MUREDACH P · 2012 to 2022
$6.8M
Smooth muscle cell-derived cell fates and cellular interactions in atherosclerotic plaque stability in disease progression and regression.R01HL166916 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Muredach P Reilly · 2023 to 2026
$2.8M
Computational and functional strategies to decipher lncRNAs in human atherosclerosisR01HL150359 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LI, MINGYAO, REILLY, MUREDACH P · 2020 to 2023
$2.7M
Molecular Mechanisms of TRIB1 Regulation of Hepatic MetabolismR01DK134026 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Robert Clayton Bauer · 2023 to 2026
$2.5M
Regulation of lipoprotein metabolism by adipose-specific Tribbles-1R01HL141745 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAUER, ROBERT CLAYTON · 2018 to 2022
$2.0M
Statistical Methods for Single-Cell TranscriptomicsR01GM125301 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO, ZHANG, NANCY R · 2017 to 2020
$1.5M
Integrative analysis of bulk and single-cell RNA-seq data for cardiometabolic diseaseR21HL156234 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO · 2021 to 2022
$244k
NCI NIH HHS P30 CA013696NHLBI NIH HHS R01 HL113147NHLBI NIH HHS R01 HL141745NHLBI NIH HHS R01 HL150359NHLBI NIH HHS R01 HL166916NHLBI NIH HHS R21 HL156234NHLBI NIH HHS T32 HL007343NIDDK NIH HHS R01 DK134026NIGMS NIH HHS R01 GM125301
6 · The paper itself

Abstract

Background: 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: 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: 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: 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.

Identifiers

PMID37502836
PMCPMC10370238
OpenAlexW4384457628

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.