Evidence map›Paper›PMID 33200587›Full record

ReviewAdvanced healthcare materials2021

3D Bioprinting of Neural Tissues.

Melissa Cadena, Liqun Ning, Alexia King, Boeun Hwang, Linqi Jin, Vahid Serpooshan, Steven A Sloan

Abstract readReview
In one paragraph

Review in Advanced healthcare materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

61 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. 3D Bioprinting Strategies in Autoimmune Disease Models.International journal of molecular sciences · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. 3D Printing for Neural Repair: Bridging the Gap in Regenerative Medicine.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  17. 3DMaterials today. Bio · 2025
    Article
  18. Article
  19. Review
  20. Review

1 more citing papers are in PubMed but not listed here.

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

7 authors.

Melissa CadenaDepartment of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA, 30322, USA.
Liqun NingDepartment of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA, 30322, USA.
Alexia KingDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA.
Boeun HwangDepartment of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA, 30322, USA.
Linqi JinDepartment of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA, 30322, USA.
Vahid SerpooshanDepartment of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA, 30322, USA.ORCID 0000-0002-5304-095X
Steven A SloanDepartment of Biomedical Engineering, Emory University School of Medicine and Georgia Institute of Technology, Atlanta, GA, 30322, USA.

Funding

Leveraging 3D bioprinted organoid constructs to pattern and model human brain developmentR01MH126195 · NIMH · EMORY UNIVERSITY · PI SERPOOSHAN, VAHID, SLOAN, STEVEN A · 2021 to 2025
$3.3M
NIMH NIH HHS R01 MH126195
6 · The paper itself

Abstract

The human nervous system is a remarkably complex physiological network that is inherently challenging to study because of obstacles to acquiring primary samples. Animal models offer powerful alternatives to study nervous system development, diseases, and regenerative processes, however, they are unable to address some species-specific features of the human nervous system. In vitro models of the human nervous system have expanded in prevalence and sophistication, but still require further advances to better recapitulate microenvironmental and cellular features. The field of neural tissue engineering (TE) is rapidly adopting new technologies that enable scientists to precisely control in vitro culture conditions and to better model nervous system formation, function, and repair. 3D bioprinting is one of the major TE technologies that utilizes biocompatible hydrogels to create precisely patterned scaffolds, designed to enhance cellular responses. This review focuses on the applications of 3D bioprinting in the field of neural TE. Important design parameters are considered when bioprinting neural stem cells are discussed. The emergence of various bioprinted in vitro platforms are also reviewed for developmental and disease modeling and drug screening applications within the central and peripheral nervous systems, as well as their use as implants for in vivo regenerative therapies.

Indexed as

BioprintingAnimalsDrug Evaluation, PreclinicalHumansHydrogelsPrinting, Three-DimensionalTissue EngineeringTissue ScaffoldsHydrogels3D printingbioprintingcortical organoidshydrogel scaffoldsneural tissuestissue engineered constructs

Identifiers

PMID33200587
PMCPMC8711131

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.