Evidence map›Paper›PMID 32104703›Full record

ArticleBioMed research international2020

Decellularized Aortic Scaffold Alleviates H

Liping Gao, Anqi Feng, Cui Li, Sebastian Schmull, Hong Sun

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. 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
1.0field-weighted citation impact, top 25% 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. Review
  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 2 institutions in 1 country.

Liping GaoDepartment of Physiology, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China.ORCID https://orcid.org/0000-0002-6385-9002
Anqi FengDepartment of Clinical Medicine, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China.
Cui LiDepartment of Physiology, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China.
Sebastian SchmullRenji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
Hong SunDepartment of Physiology, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China.ORCID https://orcid.org/0000-0003-2135-3107
Xuzhou Medical College · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone marrow-derived stem/progenitor cells have been utilized for cardiac or vascular repair after ischemic injury, but they are subject to apoptosis and immune rejection in the ischemic site. Multiple scaffolds were used as delivery tools to transplant stem/progenitor cells; however, these scaffolds did not show intrinsically antiapoptotic or anti-inflammatory properties. Decellularized aortic scaffolds that facilitate cell delivery and tissue repair were prepared by removing cells of patient-derived aortic tissues. Scanning electron microscopy (SEM) showed cells attached well to the scaffold after culturing for 5 days. Live/dead staining showed most seeded cells survived at day 7 on a decellularized aortic scaffold. Ki67 staining demonstrated that decellularized aortic scaffold promoted proliferation of bone marrow-derived CD34+ progenitor cells. Apoptosis of CD34+ progenitor cells induced by H

Indexed as

Stem Cell TransplantationTissue ScaffoldsAnimalsAntigens, CD34AortaApoptosisCell ProliferationEndothelial CellsExtracellular MatrixGene Expression Regulation, DevelopmentalHumansHydrogen PeroxideInflammationMesenchymal Stem CellsMiceMice, NudeAntigens, CD34Hydrogen Peroxide

Identifiers

PMID32104703
PMCPMC7035506
OpenAlexW3004976575

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.