Evidence map›Paper›PMID 30258764›Full record

ReviewActa pharmaceutica Sinica. B2018

3D tissue engineering, an emerging technique for pharmaceutical research.

Gregory Jensen, Christian Morrill, Yu Huang

Open access · diamondAbstract readReview
In one paragraph

Review in Acta pharmaceutica Sinica. B, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.2field-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

34 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
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  6. Targeted Cancer Therapy-on-A-Chip.Advanced healthcare materials · 2024
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Engineering cerebral folding in brain organoids.Neural regeneration research · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Highlights on Advancing Frontiers in Tissue Engineering.Tissue engineering. Part B, Reviews · 2022
    Review
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

3 authors at 1 institution in 1 country.

Gregory JensenDepartment of Biological Engineering, Utah State University, Logan, UT, 84322, USA.
Christian MorrillDepartment of Biological Engineering, Utah State University, Logan, UT, 84322, USA.
Yu HuangDepartment of Biological Engineering, Utah State University, Logan, UT, 84322, USA.
Utah State University · US

Funding

Exosome analysis of drug-resistant cancer cells' response to nanoparticle therapyR21CA190024 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI LIU, XUEWU · 2016 to 2017
$379k
NCI NIH HHS R21 CA190024
6 · The paper itself

Abstract

Tissue engineering and the tissue engineering model have shown promise in improving methods of drug delivery, drug action, and drug discovery in pharmaceutical research for the attenuation of the central nervous system inflammatory response. Such inflammation contributes to the lack of regenerative ability of neural cells, as well as the temporary and permanent loss of function associated with neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, and traumatic brain injury. This review is focused specifically on the recent advances in the tissue engineering model made by altering scaffold biophysical and biochemical properties for use in the treatment of neurodegenerative diseases. A portion of this article will also be spent on the review of recent progress made in extracellular matrix decellularization as a new and innovative scaffold for disease treatment.

Indexed as

3D cell cultureDecellularizationDrug screeningNeurodegenerative diseaseNeuroinflammationTissue engineering

Identifiers

PMID30258764
PMCPMC6148716
OpenAlexW2791478484

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.