Evidence map›Paper›PMID 31726729›Full record

ArticleInternational journal of molecular sciences2019

Development of a Gut-On-A-Chip Model for High Throughput Disease Modeling and Drug Discovery.

Claudia Beaurivage, Elena Naumovska, Yee Xiang Chang, Edo D Elstak, Arnaud Nicolas, Heidi Wouters, Guido van Moolenbroek, Henriëtte L Lanz, Sebastiaan J Trietsch, Jos Joore and 5 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

91 citing papers in PubMed, 177 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Bridging the Gap Between Static Histology and Dynamic Organ-on-a-Chip Models.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. From AI-AssistedPharmaceuticals (Basel, Switzerland) · 2025
    Review
  16. Article
  17. Emerging advances in intestinal models for in vitro preclinical research.American journal of physiology. Gastrointestinal and liver physiology · 2025
    Review
  18. Review
  19. Article
  20. Gastrointestinal tract, its pathophysiology andWorld journal of gastroenterology · 2025
    Review

31 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

15 authors at 3 institutions in 2 countries.

Claudia BeaurivageGalapagos BV, Zernikedreef 16, 2333 CL Leiden, The Netherlands.
Elena NaumovskaDepartment of Biomedical Sciences, University of Sheffield, Western Bank, Sheffield S10 2TN, UK.
Yee Xiang ChangGalapagos BV, Zernikedreef 16, 2333 CL Leiden, The Netherlands.
Edo D ElstakGalapagos BV, Zernikedreef 16, 2333 CL Leiden, The Netherlands.ORCID 0000-0003-2484-6601
Arnaud NicolasMimetas BV, J.H. Oortweg 16, 2333 CH Leiden, The Netherlands.
Heidi WoutersGalapagos BV, Zernikedreef 16, 2333 CL Leiden, The Netherlands.
Guido van MoolenbroekMimetas BV, J.H. Oortweg 16, 2333 CH Leiden, The Netherlands.ORCID 0000-0003-2460-0003
Henriëtte L LanzMimetas BV, J.H. Oortweg 16, 2333 CH Leiden, The Netherlands.
Sebastiaan J TrietschMimetas BV, J.H. Oortweg 16, 2333 CH Leiden, The Netherlands.
Jos JooreMimetas BV, J.H. Oortweg 16, 2333 CH Leiden, The Netherlands.ORCID 0000-0002-2744-4862
Paul VultoMimetas BV, J.H. Oortweg 16, 2333 CH Leiden, The Netherlands.
Richard A J JanssenGalapagos BV, Zernikedreef 16, 2333 CL Leiden, The Netherlands.
Kai S ErdmannDepartment of Biomedical Sciences, University of Sheffield, Western Bank, Sheffield S10 2TN, UK.
Jan StallenGalapagos BV, Zernikedreef 16, 2333 CL Leiden, The Netherlands.
Dorota KurekMimetas BV, J.H. Oortweg 16, 2333 CH Leiden, The Netherlands.ORCID 0000-0002-7168-8944
Mimetas (Netherlands) · NLGalapagos (Netherlands) · NLUniversity of Sheffield · GB

Funding

Horizon 2020 641639Horizon 2020 674983
6 · The paper itself

Abstract

A common bottleneck in any drug development process is finding sufficiently accurate models that capture key aspects of disease development and progression. Conventional drug screening models often rely on simple 2D culture systems that fail to recapitulate the complexity of the organ situation. In this study, we show the application of a robust high throughput 3D gut-on-a-chip model for investigating hallmarks of inflammatory bowel disease (IBD). Using the OrganoPlate platform, we subjected enterocyte-like cells to an immune-relevant inflammatory trigger in order to recapitulate key events of IBD and to further investigate the suitability of this model for compound discovery and target validation activities. The induction of inflammatory conditions caused a loss of barrier function of the intestinal epithelium and its activation by increased cytokine production, two events observed in IBD physiopathology. More importantly, anti-inflammatory compound exposure prevented the loss of barrier function and the increased cytokine release. Furthermore, knockdown of key inflammatory regulators

Indexed as

Drug DiscoveryInflammatory Bowel DiseasesMicrochip Analytical ProceduresModels, BiologicalCaco-2 CellsDrug Evaluation, PreclinicalGene Knockout TechniquesHumansLab-On-A-Chip DevicesMyeloid Differentiation Factor 88Transcription Factor RelAMYD88 protein, humanMyeloid Differentiation Factor 88RELA protein, humanTranscription Factor RelAdisease modelingdrug discoverygut-on-a-chipinflammationinflammatory bowel diseasemicrofluidicOrgan-on-a-Chip

Identifiers

PMID31726729
PMCPMC6888156
OpenAlexW2985650421

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.