Evidence map›Paper›PMID 29323240›Full record

ArticleScientific reports2018

Engineered 3D-printed artificial axons.

Daniela Espinosa-Hoyos, Anna Jagielska, Kimberly A Homan, Huifeng Du, Travis Busbee, Daniel G Anderson, Nicholas X Fang, Jennifer A Lewis, Krystyn J Van Vliet

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
  2. Article
  3. Mechanobiology of Myelin Generation/Regeneration in Health and Disease.Results and problems in cell differentiation · 2026
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  10. Article
  11. Article
  12. Bioprinting Technologies and Bioinks for Vascular Model Establishment.International journal of molecular sciences · 2023
    Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Oligodendrocytes in the aging brain.Neuronal signaling · 2021
    Review
  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

9 authors at 3 institutions in 2 countries.

Daniela Espinosa-HoyosDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Anna JagielskaBiosystems & Micromechanics Interdisciplinary Research Group (BioSyM), Singapore-MIT Alliance in Research & Technology (SMART), Singapore, Singapore.
Kimberly A HomanWyss Institute for Biologically Inspired Engineering, Cambridge, MA, 02138, USA.
Huifeng DuDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Travis BusbeeWyss Institute for Biologically Inspired Engineering, Cambridge, MA, 02138, USA.
Daniel G AndersonDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Nicholas X FangDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Jennifer A LewisWyss Institute for Biologically Inspired Engineering, Cambridge, MA, 02138, USA.
Krystyn J Van VlietBiosystems & Micromechanics Interdisciplinary Research Group (BioSyM), Singapore-MIT Alliance in Research & Technology (SMART), Singapore, Singapore. krystyn@mit.edu.
Massachusetts Institute of Technology · USHarvard University · USSingapore-MIT Alliance for Research and Technology · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myelination is critical for transduction of neuronal signals, neuron survival and normal function of the nervous system. Myelin disorders account for many debilitating neurological diseases such as multiple sclerosis and leukodystrophies. The lack of experimental models and tools to observe and manipulate this process in vitro has constrained progress in understanding and promoting myelination, and ultimately developing effective remyelination therapies. To address this problem, we developed synthetic mimics of neuronal axons, representing key geometric, mechanical, and surface chemistry components of biological axons. These artificial axons exhibit low mechanical stiffness approaching that of a human axon, over unsupported spans that facilitate engagement and wrapping by glial cells, to enable study of myelination in environments reflecting mechanical cues that neurons present in vivo. Our 3D printing approach provides the capacity to vary independently the complex features of the artificial axons that can reflect specific states of development, disease, or injury. Here, we demonstrate that oligodendrocytes' production and wrapping of myelin depend on artificial axon stiffness, diameter, and ligand coating. This biofidelic platform provides direct visualization and quantification of myelin formation and myelinating cells' response to both physical cues and pharmacological agents.

Indexed as

Printing, Three-DimensionalTissue EngineeringAnimalsAxonsBiomimetic MaterialsCell DifferentiationCells, CulturedComputer-Aided DesignElastic ModulusMyelin SheathNeurogliaOligodendrogliaPolymersRatsRats, Sprague-DawleyRheologyPolymers

Identifiers

PMID29323240
PMCPMC5765144
OpenAlexW2782415604

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.