Evidence map›Paper›PMID 36741406›Full record

ArticleFrontiers in immunology2022

Single-cell atlas reveals different immune environments between stable and vulnerable atherosclerotic plaques.

Peicong Ge, Hao Li, Xiaolong Ya, Yiqiao Xu, Long Ma, Qiheng He, Rong Wang, Zechen Liu, Qian Zhang, Yan Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Single-Cell RNA Sequencing Reveals Granzyme KJournal of the American Heart Association · 2025
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  4. Review
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Peicong GeDepartment of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
Hao LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
Xiaolong YaDepartment of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
Yiqiao XuCapital Medical University, Beijing, China.
Long MaDepartment of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
Qiheng HeDepartment of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
Rong WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
Zechen LiuDepartment of Biostatistics, Harvard School of Public Health, Huntington Avenue, Boston, MA, United States.
Qian ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
Yan ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
Wenjing WangBeijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing, China.
Dong ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
Jizong ZhaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Beijing, China.
National Clinical Research Center for Digestive Diseases · CNBeijing Tian Tan Hospital · CNBeijing YouAn Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Regardless of the degree of stenosis, vulnerable plaque is an important cause of ischemic stroke and thrombotic complications. The changes of the immune microenvironment within plaques seem to be an important factor affecting the characteristics of the plaque. However, the differences of immune microenvironment between stable and vulnerable plaques were remained unknown. Methods: In this study, RNA-sequencing was performed on superficial temporal arteries from 5 traumatic patients and plaques from 3 atherosclerotic patients to preliminary identify the key immune response processes in plaques. Mass cytometry (CyTOF) technology was used to explore differences in immune composition between 9 vulnerable plaques and 12 stable plaques. Finally, immunofluorescence technique was used to validate our findings in the previous analysis. Results: Our results showed that more CD86+CD68+ M1 pro-inflammatory macrophages were found in vulnerable plaques, while CD4+T memory cells were mainly found in stable plaques. In addition, a CD11c+ subset of CD4+T cells with higher IFN-r secretion was found within the vulnerable plaque. In two subsets of B cells, CD19+CD20-B cells in vulnerable plaques secreted more TNF-a and IL-6, while CD19-CD20+B cells expressed more PD-1 molecules. Conclusion: In conclusion, our study suggested that M1-like macrophages are the major cell subset affecting plaque stability, while functional B cells may also contribute to plaque stability.

Indexed as

AtherosclerosisPlaque, AtheroscleroticB-LymphocytesHumansMacrophagesCyTOF/mass cytometryimmune environmentsRNA-seq analysissingle-cellVulnerable plaques

Identifiers

PMID36741406
PMCPMC9889979
OpenAlexW4317107701

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Registered trials

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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.