Evidence map›Paper›PMID 23862099›Full record

ArticleAmerican journal of stem cells2013

Amniotic fluid derived stem cells give rise to neuron-like cells without a further differentiation potential into retina-like cells.

K Hartmann, O Raabe, S Wenisch, S Arnhold

Open access · greenAbstract read
In one paragraph

Article in American journal of stem cells, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

K HartmannInstitute of Veterinary-Anatomy, Histology and Embryology, Justus-Liebig University Giessen Germany.
O Raabe
S Wenisch
S Arnhold
Justus-Liebig-Universität Gießen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amniotic fluid contains heterogeneous cell types and has become an interesting source for obtaining fetal stem cells. These stem cells have a high proliferative capacity and a good differentiation potential and may thus be suitable for regenerative medicine. As there is increasing evidence, that these stem cells are also able to be directed into the neural lineage, in our study we investigated the neuronal and glial differentiation potential of these cells, so that they may also be applied to cure degenerative diseases of the retina. Mesenchymal stem cells were isolated from routine prenatal amniocentesis at 15 to 18 weeks of pregnancy of human amniotic fluid and expanded in the cell culture. Cells were cultivated according to standard procedures for mesenchymal stem cells and were differentiated along the neural lineage using various protocols. Furthermore, it was also tried to direct them into cell types of the retina as well as into endothelial cells. Cells of more than 72 amniotic fluid samples were collected and characterized. While after induction neural-like phenotypes could actually be detected, which was confirmed using neural marker proteins such as GFAP and ßIII tubulina further differentiation into retinal like cells could not reliably be shown. These data suggest that amniotic fluid derived cells are an interesting cell source, which may also give rise to neural-like cells. However, a more specific differentiation into neuronal and glial cells could not unequivocally be shown, so that further investigations have to becarried out.

Indexed as

Amniotic fluidmigratory potentialpluripotencyretinastem cells

Identifiers

PMID23862099
PMCPMC3708508
OpenAlexW1581646196

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.