Evidence map›Paper›PMID 35527426›Full record

ArticleJournal of cellular and molecular medicine2022

Single-cell transcriptional profiling of human carotid plaques reveals a subpopulation of endothelial cells associated with stroke incidences.

Fengchan Li, Yun Du, Lei Hong, Ziting Liu, Kunmin Yan, Chu Liu, Zhen Zhu, Qiongyu Lu, Chaojun Tang, Li Zhu

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

10 authors at 2 institutions in 1 country.

Fengchan LiCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Suzhou Key Laboratory of thrombosis and vascular diseases, Soochow University, Suzhou, China.
Yun DuCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Suzhou Key Laboratory of thrombosis and vascular diseases, Soochow University, Suzhou, China.
Lei HongDepartment of The First Affiliated Hospital of USTC, Anhui, China.
Ziting LiuCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Suzhou Key Laboratory of thrombosis and vascular diseases, Soochow University, Suzhou, China.
Kunmin YanCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Suzhou Key Laboratory of thrombosis and vascular diseases, Soochow University, Suzhou, China.
Chu LiuCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Suzhou Key Laboratory of thrombosis and vascular diseases, Soochow University, Suzhou, China.
Zhen ZhuCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Suzhou Key Laboratory of thrombosis and vascular diseases, Soochow University, Suzhou, China.
Qiongyu LuCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Suzhou Key Laboratory of thrombosis and vascular diseases, Soochow University, Suzhou, China.
Chaojun TangCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Suzhou Key Laboratory of thrombosis and vascular diseases, Soochow University, Suzhou, China.
Li ZhuCyrus Tang Hematology Center, Collaborative Innovation Center of Hematology, Suzhou Key Laboratory of thrombosis and vascular diseases, Soochow University, Suzhou, China.ORCID 0000-0003-2040-294X
Soochow University · CNAnhui Medical University · CN

Funding

National Natural Science Foundation of China 81620108001National Natural Science Foundation of China 81670134National Natural Science Foundation of China 81870325National Natural Science Foundation of China 82070450National Natural Science Foundation of China 91739302Natural Science Foundation of Jiangsu Province BK20201410Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX21_2967Priority Academic Program Development of Jiangsu Higher Education InstitutionsTranslational Research Grant of NCRCH 2020WSA02Translational Research Grant of NCRCH 2020ZKPA01
6 · The paper itself

Abstract

The differences in plaque histology between symptomatic and asymptomatic patients have been widely accepted. Whether there is a heterogeneity of cells between symptomatic and asymptomatic plaques remains largely unclear. To reveal the potential heterogeneity within different plaques, which may contribute to different stroke incidences, we obtained the scRNA-seq data from symptomatic and asymptomatic patients and identified eight cell types present in plaques. Further analysis of endothelial cells (ECs) revealed three distinct EC subpopulations appeared to be endowed with specific biological functions such as antigen processing and presentation, cell adhesion, and smooth muscle cell proliferation. Of note, the differentially expressed genes of the EC 2 subpopulation showed that the genes involved in cell adhesion were up-regulated in asymptomatic plaques compared to symptomatic plaques. Integrating the data of intraplaque haemorrhage and plaque stability, the 5th top-enriched biological process was cell adhesion in the stable or non-haemorrhaged plaques compared to unstable plaques or haemorrhaged plaques. Among these cell adhesion-related genes, the intersection gene AOC3 may play a vital role in plaque haemorrhage and plaque stability. Targeting cell adhesion and the specialized genes may provide potential new therapeutic directions to prevent asymptomatic patients from stroke.

Indexed as

Plaque, AtheroscleroticStrokeCarotid ArteriesEndothelial CellsHumansIncidencecellular heterogeneityendothelial cellshuman carotid artery plaquescRNA-seq

Identifiers

PMID35527426
PMCPMC9189335
OpenAlexW4229368247

What OpenQuestion holds

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LicenceCC BY
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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.