Evidence map›Paper›PMID 26563431›Full record

ArticleTissue engineering. Part C, Methods2016

The Impact of Prestretch Induced Surface Anisotropy on Axon Regeneration.

Chun Liu, Ryan Pyne, Jungsil Kim, Neil Thomas Wright, Seungik Baek, Christina Chan

Abstract read
In one paragraph

Article in Tissue engineering. Part C, Methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors at 2 institutions in 1 country.

Chun Liu1 Department of Chemical Engineering and Materials Science, Michigan State University , East Lansing, Michigan.
Ryan Pyne1 Department of Chemical Engineering and Materials Science, Michigan State University , East Lansing, Michigan.
Jungsil Kim2 Department of Mechanical Engineering & Materials Science, Washington University , Saint Louis, Missouri.
Neil Thomas Wright3 Department of Mechanical Engineering, Michigan State University , East Lansing, Michigan.
Seungik Baek3 Department of Mechanical Engineering, Michigan State University , East Lansing, Michigan.
Christina Chan1 Department of Chemical Engineering and Materials Science, Michigan State University , East Lansing, Michigan.
Michigan State University · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nerve regeneration after spinal cord injury requires proper axon alignment to bridge the lesion site and myelination to achieve functional recovery. Significant effort has been invested in developing engineering approaches to induce axon alignment with less focus on myelination. Topological features, such as aligned fibers and channels, have been shown to induce axon alignment, but do not enhance axon thickness. We previously demonstrated that surface anisotropy generated through mechanical prestretch induced mesenchymal stem cells to align in the direction of prestretch. In this study, we demonstrate that static prestretch-induced anisotropy promotes dorsal root ganglion (DRG) neurons to extend thicker axon aggregates along the stretched direction and form aligned fascicular-like axon tracts. Moreover, Schwann cells, when cocultured with DRG neurons on the prestretched surface colocalized with the aligned axons and expressed P0 protein, are indicative of myelination of the aligned axons, thereby demonstrating that prestretch-induced surface anisotropy is beneficial in enhancing axon alignment, growth, and myelination.

Identifiers

PMID26563431
PMCPMC4744876
OpenAlexW2196931272

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.