Evidence map›Paper›PMID 32313043›Full record

ArticleScientific reports2020

Mesenchymal-endothelial transition-derived cells as a potential new regulatory target for cardiac hypertrophy.

Wenyan Dong, Ruiqi Li, Haili Yang, Yan Lu, Longhai Zhou, Lei Sun, Dianliang Wang, Jinzhu Duan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 44 citations in OpenAlex.

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  8. The role of autophagy in the progression of HIV infected cardiomyopathy.Frontiers in cell and developmental biology · 2024
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  15. Outside-in Signaling by Adventitial Fibroblasts.Arteriosclerosis, thrombosis, and vascular biology · 2021
    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

8 authors at 4 institutions in 2 countries.

Wenyan Dong *Heart Center and Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510120, China.
Ruiqi Li *Heart Center and Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510120, China.
Haili YangHeart Center and Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510120, China.
Yan LuDepartment of Pathology, University of Washington, Seattle, 98109, WA, USA.
Longhai ZhouHeart Center and Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510120, China.
Lei SunHeart Center and Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510120, China.
Dianliang WangStem Cell and Tissue Engineering Research Laboratory, Department of Pharmacy, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China. wangdianliang@sina.com.
Jinzhu DuanHeart Center and Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510120, China. duanjinzhu@163.com.ORCID http://orcid.org/0000-0003-3392-742X
Guangzhou Medical University · CNAir Force General Hospital PLA · CNGuangzhou Women and Children Medical Center · CNUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of Mesenchymal-endothelial transition (MEndoT) in cardiac hypertrophy is unclear. To determine the difference between MEndoT-derived and coronary endothelial cells is essential for understanding the revascularizing strategy in cardiac repair. Using lineage tracing we demonstrated that MEndoT-derived cells exhibit highly heterogeneous which were characterized with highly expression of endothelial markers such as vascular endothelial cadherin(VECAD) and occludin but low expression of Tek receptor tyrosine kinase(Tek), isolectin B4, endothelial nitric oxide synthase(eNOS), von Willebrand factor(vWF), and CD31 after cardiac hypertrophy. RNA-sequencing showed altered expression of fibroblast lineage commitment genes in fibroblasts undergoing MEndoT. Compared with fibroblasts, the expression of p53 and most endothelial lineage commitment genes were upregulated in MEndoT-derived cells; however, the further analysis indicated that MEndoT-derived cells may represent an endothelial-like cell sub-population. Loss and gain function study demonstrated that MEndoT-derived cells are substantial sources of neovascularization, which can be manipulated to attenuate cardiac hypertrophy and preserve cardiac function by improving the expression of endothelial markers in MEndoT-derived cells. Moreover, fibroblasts undergoing MEndoT showed significantly upregulated anti-hypertrophic factors and downregulated pro-hypertrophic factors. Therefore MEndoT-derived cells are an endothelial-like cell population that can be regulated to treat cardiac hypertrophy by improving neovascularization and altering the paracrine effect of fibroblasts.

Indexed as

Gene Expression RegulationAnimalsAntigens, CDCadherin 5CadherinsCardiomegalyCell LineageCell TrackingCell TransdifferentiationDisease Models, AnimalEndothelial CellsFibroblastsGenes, ReporterGreen Fluorescent ProteinsHumansLectinsAntigens, CDCadherin 5CadherinsGreen Fluorescent ProteinsLectinsLuminescent ProteinsNitric Oxide Synthase Type IIINos3 protein, mouseOccludinOcln protein, mousePecam1 protein, mousePlatelet Endothelial Cell Adhesion Molecule-1Receptor, TIE-2Red Fluorescent ProteinTek protein, mousevon Willebrand Factor

Identifiers

PMID32313043
PMCPMC7170918
OpenAlexW3016740018

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.