Evidence map›Paper›PMID 33921018›Full record

ReviewMicromachines2021

Review of Design Considerations for Brain-on-a-Chip Models.

Tiffany Cameron, Tanya Bennet, Elyn M Rowe, Mehwish Anwer, Cheryl L Wellington, Karen C Cheung

Abstract readReview
In one paragraph

Review in Micromachines, 2021. 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
–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

20 citing papers in PubMed.

  1. Review
  2. A Biomimetic Human Multi-Cellular In Vitro Model of the Blood-Brain Barrier.International journal of molecular sciences · 2025
    Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Modeling Brain Vasculature Immune Interactions In Vitro.Cold Spring Harbor perspectives in medicine · 2023
    Review
  9. Blood-Brain Barrier Breakdown in Neuroinflammation: Current In Vitro Models.International journal of molecular sciences · 2023
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Vascularizing the brainiScience · 2022
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

6 authors.

Tiffany CameronSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID 0000-0003-4031-0022
Tanya BennetSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Elyn M RoweDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID 0000-0002-4492-4286
Mehwish AnwerDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Cheryl L WellingtonDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Karen C CheungSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the need for sophisticated human in vitro models for integrative biology has motivated the development of organ-on-a-chip platforms. Organ-on-a-chip devices are engineered to mimic the mechanical, biochemical and physiological properties of human organs; however, there are many important considerations when selecting or designing an appropriate device for investigating a specific scientific question. Building microfluidic Brain-on-a-Chip (BoC) models from the ground-up will allow for research questions to be answered more thoroughly in the brain research field, but the design of these devices requires several choices to be made throughout the design development phase. These considerations include the cell types, extracellular matrix (ECM) material(s), and perfusion/flow considerations. Choices made early in the design cycle will dictate the limitations of the device and influence the end-point results such as the permeability of the endothelial cell monolayer, and the expression of cell type-specific markers. To better understand why the engineering aspects of a microfluidic BoC need to be influenced by the desired biological environment, recent progress in microfluidic BoC technology is compared. This review focuses on perfusable blood-brain barrier (BBB) and neurovascular unit (NVU) models with discussions about the chip architecture, the ECM used, and how they relate to the in vivo human brain. With increased knowledge on how to make informed choices when selecting or designing BoC models, the scientific community will benefit from shorter development phases and platforms curated for their application.

Indexed as

astrocytesbasement membranebrain-on-a-chipendothelial cellsextracellular matrixmicrofluidicsneuronspericytes

Identifiers

PMID33921018
PMCPMC8071412

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.