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High-Dimensional Single-Cell Multimodal Landscape of Human Carotid Atherosclerosis
Bashore AC, Yan H, Xue C, Zhu LY, Kim E, Mawson T, Coronel J, Chung A et al.. Arteriosclerosis, thrombosis, and vascular biology, 2024-02-22
Topic: Brain proteins, microglia and lab models
Background Atherosclerotic plaques are complex tissues composed of a heterogeneous mixture of cells. However, our understanding of the comprehensive transcriptional and phenotypic landscape of the cells within these lesions is limited. Methods To characterize the landscape of human carotid atherosclerosis in greater detail, we combined cellular indexing of transcriptomes and epitopes by sequencing and single-cell RNA sequencing 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.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Bashore, A. C., Yan, H., Xue, C., Zhu, L. Y., Kim, E., Mawson, T., et al. (2024). High-Dimensional Single-Cell Multimodal Landscape of Human Carotid Atherosclerosis. Arteriosclerosis, thrombosis, and vascular biology. https://doi.org/10.1161/atvbaha.123.320524
Vancouver
Bashore AC, Yan H, Xue C, Zhu LY, Kim E, Mawson T, et al. High-Dimensional Single-Cell Multimodal Landscape of Human Carotid Atherosclerosis. Arteriosclerosis, thrombosis, and vascular biology. 2024. doi:10.1161/atvbaha.123.320524. PMID: 38385291.
BibTeX
@article{bashore2024-38385291,
author = {Bashore, A. C. and Yan, H. and Xue, C. and Zhu, L. Y. and Kim, E. and Mawson, T. and Coronel, J. and Chung, A. and others},
title = {{High-Dimensional Single-Cell Multimodal Landscape of Human Carotid Atherosclerosis}},
journal = {Arteriosclerosis, thrombosis, and vascular biology},
year = {2024},
doi = {10.1161/atvbaha.123.320524},
pmid = {38385291},
url = {https://doi.org/10.1161/atvbaha.123.320524}
}
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Key findings
- However, our understanding of the comprehensive transcriptional and phenotypic landscape of the cells within these lesions is limited.
- Methods To characterize the landscape of human carotid atherosclerosis in greater detail, we combined cellular indexing of transcriptomes and epitopes by sequencing and single-cell RNA sequencing 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 cell populations, each with a unique multiomic signature, including macrophages, T cells, NK (natural killer) cells, mast cells, B cells, plasma cells, neutrophils, dendritic cells, endothelial cells, fibroblasts, and smooth muscle cells (SMCs).
- Among the macrophages, we identified 2 proinflammatory subsets enriched in IL-1B (interleukin-1B) or C1Q expression, 2 TREM2-positive foam cells (1 expressing inflammatory genes), and subpopulations with a proliferative gene signature and SMC-specific gene signature with fibrotic pathways upregulated.
Why it matters
This study maps the cell types in human carotid atherosclerosis, not Alzheimer's disease. It provides no information on treating, curing or preventing Alzheimer's disease.
New to this subject? Start with our plain-English guide: Genetics →
Study details
- Participants21
- Evidence strengthLow
How this study scored 55/100
Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Arteriosclerosis, thrombosis, and vascular biology) |
| Journal's citation record | 3 / 4 | Arteriosclerosis Thrombosis and Vascular Biology: journal h-index 340 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2024 — within 3 year(s) of the newest study here |
| Sample size | 1 / 4 | 21 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 5 / 7 | Cited 110 times (OpenAlex, 2026-10-10) |
| Citations per year | 4 / 5 | 27.5 citations a year over 4 year(s) since 2024 |
| Impact for its field and year | 4 / 6 | Cited 15.3× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 3 / 4 | Cited 110 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 4 / 4 | Last-listed author Muredach P. Reilly: h-index 121 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | University of Pennsylvania: institution h-index 1,859 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 7 institution(s) in 3 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 38385291) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 55 / 100 | — |
What each of these 20 components measures, and what this score is not →
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