Evidence map›Paper›PMID 36831155›Full record

ReviewBiomedicines2023

Gut-on-a-Chip Models: Current and Future Perspectives for Host-Microbial Interactions Research.

Moran Morelli, Dorota Kurek, Chee Ping Ng, Karla Queiroz

Abstract readReview
In one paragraph

Review in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Cytokine-Induced Barrier Dysfunction and Lipid Signaling in a Gut-On-Chip Model.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Interactions between the tumor microbiota and breast cancer.Frontiers in cellular and infection microbiology · 2024
    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

4 authors.

Moran MorelliMIMETAS B.V., 2342 DH Oegstgeest, The Netherlands.ORCID 0000-0003-0262-7221
Dorota KurekMIMETAS B.V., 2342 DH Oegstgeest, The Netherlands.ORCID 0000-0002-7168-8944
Chee Ping NgMIMETAS B.V., 2342 DH Oegstgeest, The Netherlands.
Karla QueirozMIMETAS B.V., 2342 DH Oegstgeest, The Netherlands.

Funding

European Union 812969
6 · The paper itself

Abstract

The intestine contains the largest microbial community in the human body, the gut microbiome. Increasing evidence suggests that it plays a crucial role in maintaining overall health. However, while many studies have found a correlation between certain diseases and changes in the microbiome, the impact of different microbial compositions on the gut and the mechanisms by which they contribute to disease are not well understood. Traditional pre-clinical models, such as cell culture or animal models, are limited in their ability to mimic the complexity of human physiology. New mechanistic models, such as organ-on-a-chip, are being developed to address this issue. These models provide a more accurate representation of human physiology and could help bridge the gap between clinical and pre-clinical studies. Gut-on-chip models allow researchers to better understand the underlying mechanisms of disease and the effect of different microbial compositions on the gut. They can help to move the field from correlation to causation and accelerate the development of new treatments for diseases associated with changes in the gut microbiome. This review will discuss current and future perspectives of gut-on-chip models to study host-microbial interactions.

Indexed as

disease modelingdrug screeninggut-on-a-chiphost–microbial interactionsmicrobiomemicrofluidicsorganoidsorgan-on-a-chip

Identifiers

PMID36831155
PMCPMC9953162

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.