Evidence map›Paper›PMID 30203685›Full record

ArticleCell transplantation2018

Identification of Myocardial Telocytes and Bone Marrow Mesenchymal Stem Cells in Mice.

Xin Zhong, Yonghua Zheng, Hua Li, Steve Huang, Junbo Ge

Open access · goldAbstract read
In one paragraph

Article in Cell transplantation, 2018. 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
0.7field-weighted citation impact, top 27% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  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

5 authors at 4 institutions in 1 country.

Xin Zhong1 Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Yonghua Zheng2 Department of Respiratory Medicine, Shanghai Jinshan Tinglin Hospital, Shanghai, China.
Hua Li1 Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Steve Huang1 Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Junbo Ge1 Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhongshan Hospital · CNJinshan Hospital of Fudan University · CNSun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to compare the morphology, immune phenotype, and cytokine profiles between myocardial telocytes (TCs) and bone marrow mesenchymal stem cells (MSCs), and explore the difference between those two types of interstitial cells.

methodsTCs and MSCs were cultured in vitro and cell morphology was observed with a light microscope. The expression levels of CD34, c-kit, and vimentin were detected by immunofluorescence, RT-qPCR, and Western blotting in both TCs and MSCs. The related supernatant was collected and total of 49 cytokine profiles were detected by RayBio Mice Cytokine Antibody Array. Significantly different cytokines were further confirmed by ELISA.

resultsTCs have small cellular body and very long prolongations and they were CD34

conclusionsUsing various technologies, we identified that myocardial TCs and MSCs are significantly different in terms of cell structure and cytokine profiles.

Indexed as

AnimalsAntigens, CD34Cells, CulturedCytokinesMesenchymal Stem CellsMice, Inbred BALB CMyocardiumProto-Oncogene Proteins c-kitTelocytesVimentinAntigens, CD34CytokinesProto-Oncogene Proteins c-kitVimentincytokine antibody arraymorphologyMSCsphenotypeTCs

Identifiers

PMID30203685
PMCPMC6180723
OpenAlexW2892344887

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.