Evidence map›Paper›PMID 36536281›Full record

ArticleMolecular medicine (Cambridge, Mass.)2022

Single-cell transcriptomic analysis reveals differential cell subpopulations and distinct phenotype transition in normal and dissected ascending aorta.

Yu-Bin He, Hai-Zhen Jin, Jin-Long Zhao, Chong Wang, Wen-Rui Ma, Jie Xing, Xiao-Bin Zhang, Yang-Yang Zhang, Huang-Dong Dai, Nai-Shi Zhao and 3 more

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

14 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
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 3 institutions in 1 country.

Yu-Bin He *Department of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030, China.
Hai-Zhen Jin *Department of Central Laboratory, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Jin-Long Zhao *Department of Cardiovascular Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Chong WangDepartment of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030, China.
Wen-Rui MaDepartment of Cardiac Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Jie XingDepartment of Biobank, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Xiao-Bin ZhangDepartment of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030, China.
Yang-Yang ZhangDepartment of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030, China.
Huang-Dong DaiDepartment of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030, China.
Nai-Shi ZhaoDepartment of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030, China.
Jian-Feng ZhangDepartment of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030, China. jeff_cardiosur@163.com.
Guan-Xin ZhangDepartment of Cardiothoracic Surgery, Changhai Hospital, Second Military Medical University, No.168, Changhai Road, Shanghai, China. gxzhang_ctsur@163.com.
Jing ZhangDepartment of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030, China. zhangjing_cvs@126.com.ORCID 0000-0003-2265-565X
Shanghai Jiao Tong University · CNSecond Military Medical University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute thoracic aortic dissection (ATAD) is a fatal condition characterized by tear of intima, formation of false lumen and rupture of aorta. However, the subpopulations of normal and dissected aorta remain less studied.

methodsSingle-cell RNA sequencing was performed including 5 patients with ATAD and 4 healthy controls. Immunohistochemistry and immunofluorescence were used to verify the findings.

resultsWe got 8 cell types from human ascending aorta and identified 50 subpopulations including vascular smooth muscle cells (VSMCs), endothelial cells, fibroblasts, neutrophils, monocytes and macrophages. Six transmembrane epithelial antigen of prostate 4 metalloreductase (STEAP4) was identified as a new marker of synthetic VSMCs. CytoTRACE identified subpopulations with higher differentiation potential in specified cell types including synthetic VSMCs, enolase 1

conclusionWe characterized signatures of different cell types in normal and dissected human ascending aorta and identified a new marker for isolation of synthetic VSMCs. Moreover, we proposed a potential mechanism that synthetic VSMCs might interact with neutrophils and fibroblasts via CXCL12-CXCR4/ACKR3 axis whereby deteriorating the progression of ATAD, which might provide new insights to better understand the development and progression of ATAD.

Indexed as

Aorta, ThoracicAortic DissectionAortaEndothelial CellsHumansMalePhenotypeTranscriptomeAcute thoracic aortic dissectionCell–cell interactionCell differentiation trajectoryCXCL12Phenotypic switchSingle-cell RNA sequencing

Identifiers

PMID36536281
PMCPMC9764678
OpenAlexW4311917765

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.