Evidence map›Paper›PMID 36588933›Full record

ReviewFrontiers in bioengineering and biotechnology2022

Integrating mechanical sensor readouts into organ-on-a-chip platforms.

Ingrid Anaya Morales, Christina-Marie Boghdady, Benjamin E Campbell, Christopher Moraes

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
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  7. Article
  8. Mechano-Organ-on-Chip for Cancer Research.International journal of molecular sciences · 2026
    Review
  9. Review
  10. Review
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  12. Review
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  15. Optical Force Monitoring in Polymeric Materials with a Coumarin-Based Mechanophore.Angewandte Chemie (International ed. in English) · 2025
    Article
  16. Review
  17. Tissue chips as headway model and incitement technology.Synthetic and systems biotechnology · 2025
    Review
  18. Review
  19. Article
  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

4 authors.

Ingrid Anaya MoralesDivision of Experimental Medicine, McGill University, Montreal, QC, Canada.
Christina-Marie BoghdadyDepartment of Chemical Engineering, McGill University, Montreal, QC, Canada.
Benjamin E CampbellDepartment of Chemical Engineering, McGill University, Montreal, QC, Canada.
Christopher MoraesDivision of Experimental Medicine, McGill University, Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organs-on-a-chip have emerged as next-generation tissue engineered models to accurately capture realistic human tissue behaviour, thereby addressing many of the challenges associated with using animal models in research. Mechanical features of the culture environment have emerged as being critically important in designing organs-on-a-chip, as they play important roles in both stimulating realistic tissue formation and function, as well as capturing integrative elements of homeostasis, tissue function, and tissue degeneration in response to external insult and injury. Despite the demonstrated impact of incorporating mechanical cues in these models, strategies to measure these mechanical tissue features in microfluidically-compatible formats directly on-chip are relatively limited. In this review, we first describe general microfluidically-compatible Organs-on-a-chip sensing strategies, and categorize these advances based on the specific advantages of incorporating them on-chip. We then consider foundational and recent advances in mechanical analysis techniques spanning cellular to tissue length scales; and discuss their integration into Organs-on-a-chips for more effective drug screening, disease modeling, and characterization of biological dynamics.

Indexed as

biomechanicsmechanobiologyorgan-on-a-chipsensorstissue engineering

Identifiers

PMID36588933
PMCPMC9800895

What OpenQuestion holds

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LicenceCC BY
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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.