Evidence map›Paper›PMID 33897781›Full record

ArticleStem cells international2021

Inhibition of Notch Signaling Promotes the Differentiation of Epicardial Progenitor Cells into Adipocytes.

Bin Liu, Dinghui Wang, Tianhua Xiong, Yajie Liu, Xiaodong Jing, Jianlin Du, Qiang She

Open access · goldAbstract read
In one paragraph

Article in Stem cells international, 2021. 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
1.1field-weighted citation impact, top 22% 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, 11 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Bin LiuDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Dinghui WangDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Tianhua XiongDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Yajie LiuDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Xiaodong JingDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Jianlin DuDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Qiang SheDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.ORCID https://orcid.org/0000-0001-5049-1264
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of Notch signaling pathway in the differentiation of epicardial progenitor cells (EPCs) into adipocytes is unclear. The objective is to investigate the effects of Notch signaling on the differentiation of EPCs into adipocytes.

methodsFrozen sections of

resultsThere was EAT located at the atrial-ventricular groove in mouse. By using genetic lineage tracing methods, we found that EPCs were a source of epicardial adipocytes. EPCs had lipid droplet accumulation, and the expression of adipocyte markers FABP-4 and perilipin-1 was upregulated under adipogenic induction. Activating the Notch signaling with jagged-1 attenuated the adipogenic differentiation of EPCs and downregulated the key adipogenesis transcription factor peroxisome proliferator activated receptor-

conclusionsEPCs are a source of epicardial adipocytes. Downregulation of the Notch signaling pathway promotes the differentiation of EPCs into adipocytes via PPAR-

Identifiers

PMID33897781
PMCPMC8052169
OpenAlexW3154894439

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.