Evidence map›Paper›PMID 25530851›Full record

ArticleJournal of materials chemistry. B2014

Silk Nanofiber Hydrogels with Tunable Modulus to Regulate Nerve Stem Cell Fate.

ShuMeng Bai, WenMin Zhang, Qiang Lu, QuanHong Ma, David L Kaplan, HeSun Zhu

Open access · greenAbstract read
In one paragraph

Article in Journal of materials chemistry. B, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.4field-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

20 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. [Research progress on silk fibroin-nerve guidance conduits for peripheral nerve injury repair].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
    Review
  3. In Vitro and In Vivo Biodegradation of Silk Fabric Scaffolds.Doklady biological sciences : proceedings of the Academy of Sciences of the USSR, Biological sciences sections · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Silk fibroin nanoscaffolds for neural tissue engineering.Journal of materials science. Materials in medicine · 2020
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Bioactive Silk Hydrogels with Tunable Mechanical Properties.Journal of materials chemistry. B · 2018
    Article
  18. Article
  19. Article
  20. 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 4 institutions in 3 countries.

ShuMeng BaiNational Engineering Laboratory for Modern Silk & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou 215123, People's Republic of China.
WenMin ZhangJiangsu Key Laboratory of Translational Research and Therapy for Neuro-Psycho-Diseases, Institute of Neuroscience, the Second Affiliated Hospital, Soochow University, Suzhou 215123, People's Republic of China.
Qiang LuNational Engineering Laboratory for Modern Silk & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou 215123, People's Republic of China ; Jiangsu Province Key Laboratory of Stem Cell Research, Medical College, Soochow University, Suzhou 215006, People's Republic of China.
QuanHong MaJiangsu Key Laboratory of Translational Research and Therapy for Neuro-Psycho-Diseases, Institute of Neuroscience, the Second Affiliated Hospital, Soochow University, Suzhou 215123, People's Republic of China.
David L KaplanNational Engineering Laboratory for Modern Silk & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou 215123, People's Republic of China ; Department of Biomedical Engineering, Tufts University, Medford, MA 02155, USA.
HeSun ZhuResearch Center of Materials Science, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Soochow University · CNSuzhou University of Science and Technology · CNBeijing Institute of Technology · CNTranslational Research in Oncology · FR

Funding

Translational Bioreactors - Engineering Complex TissuesP41EB002520 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2004 to 2018
$16.7M
NIBIB NIH HHS P41 EB002520
6 · The paper itself

Abstract

Reconstruction of damaged nerves remains a significant unmet challenge in clinical medicine. To foster improvements, the control of neural stem cell (NSC) behaviors, including migration, proliferation and differentiation are critical factors to consider. Topographical and mechanical stimulation based on the control of biomaterial features is a promising approach, which are usually studied separately. The synergy between topography and mechanical rigidity could offer new insights into the control of neural cell fate if they could be utilized concurrently in studies. To achieve this need, silk fibroin self-assembled nanofibers with a beta-sheet-enriched structure are formed into hydrogels. Stiffness is tuned using different annealing processes to enable mechanical control without impacting the nanofiber topography. Compared with nonannealed nanofibers, NSCs on methanol annealed nanofibers with stiffness similar to nerve tissues differentiate into neurons with the restraint of glial differentiation, without the influence of specific differentiation biochemical factors. These results demonstrate that combining topographic and mechanical cues provides the control of nerve cell behaviors, with potential for neurogenerative repair strategies.

Indexed as

hydrogelsnerve regenerationneural stem cellssilk nanofiberstunable stiffness

Identifiers

PMID25530851
PMCPMC4269376
OpenAlexW2032306927

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.