Evidence map›Paper›PMID 25221507›Full record

ReviewFrontiers in aging neuroscience2014

Fetal stem cells and skeletal muscle regeneration: a therapeutic approach.

Michela Pozzobon, Chiara Franzin, Martina Piccoli, Paolo De Coppi

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in aging neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. 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

4 authors at 2 institutions in 2 countries.

Michela PozzobonFondazione Istituto di Ricerca Pediatrica Città della Speranza , Padova , Italy.
Chiara FranzinFondazione Istituto di Ricerca Pediatrica Città della Speranza , Padova , Italy.
Martina PiccoliFondazione Istituto di Ricerca Pediatrica Città della Speranza , Padova , Italy.
Paolo De CoppiUCL Institute of Child Health and Great Ormond Street Hospital , London , UK.
Città della Speranza Foundation · ITGreat Ormond Street Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than 40% of the body mass is represented by muscle tissue, which possesses the innate ability to regenerate after damage through the activation of muscle-specific stem cells, namely satellite cells. Muscle diseases, in particular chronic degenerative states of skeletal muscle such as dystrophies, lead to a perturbation of the regenerative process, which causes the premature exhaustion of satellite cell reservoir due to continuous cycles of degeneration/regeneration. Nowadays, the research is focused on different therapeutic approaches, ranging from gene and cell to pharmacological therapy, but still there is no definitive cure in particular for genetic muscle disease. Keeping this in mind, in this article, we will give special consideration to muscle diseases and the use of fetal derived stem cells as a new approach for therapy. Cells of fetal origin, from cord blood to placenta and amniotic fluid, can be easily obtained without ethical concern, expanded and differentiated in culture, and possess immune-modulatory properties. The in vivo approach in animal models can be helpful to study the mechanism underneath the operating principle of the stem cell reservoir, namely the niche, which holds great potential to understand the onset of muscle pathologies.

Indexed as

amniotic fluidcell therapycord bloodfetal cellsmuscle dystrophiesplacenta

Identifiers

PMID25221507
PMCPMC4145352
OpenAlexW2139810797

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.