Evidence map›Paper›PMID 22526490›Full record

ArticleCytotechnology2012

Osteogenic differentiation of human placenta-derived mesenchymal stem cells (PMSCs) on electrospun nanofiber meshes.

Dongmei Zhang, Aiping Tong, Liangxue Zhou, Fang Fang, Gang Guo

Open access · bronzeAbstract read
In one paragraph

Article in Cytotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Advances in Barrier Membranes for Guided Bone Regeneration Techniques.Frontiers in bioengineering and biotechnology · 2022
    Review
  3. Article
  4. Review
  5. Cellular bone matrices: viable stem cell-containing bone graft substitutes.The spine journal : official journal of the North American Spine Society · 2014
    Review
  6. Article
  7. Design strategies of biodegradable scaffolds for tissue regeneration.Biomedical engineering and computational biology · 2014
    Review
  8. Article
  9. Article
  10. Review
  11. 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.

Dongmei ZhangState Key Laboratory of Biotherapy and Cancer Center West China Hospital, West China Medical School, Sichuan University, Chengdu, 610041, People's Republic of China.
Aiping Tong
Liangxue Zhou
Fang Fang
Gang Guo
Sichuan University · CNState Key Laboratory of Biotherapy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous challenges remain in the successful clinical translation of cell-based therapeutic studies for skeletal tissue repair, including appropriate cell sources and viable cell delivery systems. Poly(ethylene glycol)-poly(ε-caprolactone) (PEG-PCL) amphiphilic block copolymers have been extensively explored in microspheres preparation. Due to the introduction of hydrophilic PEG segments into PCL backbones, these copolymers have shown much more potentials in carrying protein, lipophilic drugs or genes than commonly used poly (ε-caprolactone) (PCL) and poly (lactic acid). The aim of this study is to investigate the attachment and osteogenic differentiation of human placenta derived mesenchymal stem cells (PMSCs) on PEG-PCL triblock copolymers nanofiber scaffolds. Here we demonstrated that PMSCs proliferate robustly and can be effectively differentiated into osteogenic-like cells on nanofiber scaffolds. This study provides evidence for the use of nanofiber scaffolds as an ideal supporting material for in vitro PMSCs culture and an in vivo cell delivery vehicle for bone repair.

Identifiers

PMID22526490
PMCPMC3488365
OpenAlexW2034228584

What OpenQuestion holds

Textmetadata
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.