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Cited by 1453D Printing in Biomedical ResearchCancer Cells and MetastasisTissue Engineering and Regenerative Medicine

Organoids in gastrointestinal diseases: From experimental models to clinical translation

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Günther, Claudia, Winner, Beate, Neurath, Markus F, Stappenbeck, Thaddeus S·2022·Gut
DOI 10.1136/gutjnl-2021-326560PMC PMC9380493
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Abstract

We are entering an era of medicine where increasingly sophisticated data will be obtained from patients to determine proper diagnosis, predict outcomes and direct therapies. We predict that the most valuable data will be produced by systems that are highly dynamic in both time and space. Three-dimensional (3D) organoids are poised to be such a highly valuable system for a variety of gastrointestinal (GI) diseases. In the lab, organoids have emerged as powerful systems to model molecular and cellular processes orchestrating natural and pathophysiological human tissue formation in remarkable detail. Preclinical studies have impressively demonstrated that these organs-in-a-dish can be used to model immunological, neoplastic, metabolic or infectious GI disorders by taking advantage of patient-derived material. Technological breakthroughs now allow to study cellular communication and molecular mechanisms of interorgan cross-talk in health and disease including communication along for example, the gut–brain axis or gut–liver axis. Despite considerable success in culturing classical 3D organoids from various parts of the GI tract, some challenges remain to develop these systems to best help patients. Novel platforms such as organ-on-a-chip, engineered biomimetic systems including engineered organoids, micromanufacturing, bioprinting and enhanced rigour and reproducibility will open improved avenues for tissue engineering, as well as regenerative and personalised medicine. This review will highlight some of the established methods and also some exciting novel perspectives on organoids in the fields of gastroenterology. At present, this field is poised to move forward and impact many currently intractable GI diseases in the form of novel diagnostics and therapeutics.

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Authors
Günther, C., Winner, B., Neurath, M. F., & Stappenbeck, T. S.
Affiliations
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
  • Cleveland Clinic (US)
Corresponding author
Günther, Claudia
ORCID
Venue
Gut
Publisher
BMJ
Published
2022-05-30
Volume
71
Issue
9
Pages
1892-1908
ISSN
  • 0017-5749 (ISSN-L)
  • 1468-3288
DOI
10.1136/gutjnl-2021-326560
PMC
PMC9380493
OpenAlex
W4281774657
Cited by
145
References
50
Citations by year
2026: 27 · 2025: 40 · 2024: 47 · 2023: 24 · 2022: 7
FWCI
2.65
Type
journal article
Language
en
Open access
Licence
Locations
  • Gut (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • OPUS FAU (Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV), on behalf of the Universitätsbibliothek Erlangen-Nürnberg) (submittedVersion, cc-by-nc)
Funders
Deutsche Forschungsgemeinschaft (WI 3567/2-1, TRR241, FOR2886, TRR305, GU 1431/5-1)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
  • Health Sciences › Medicine › Surgery › Tissue Engineering and Regenerative Medicine
Keywords
3D organoids, gastrointestinal diseases, organ-on-a-chip, bioprinting, micro manufacturing, gut-brain axis, gut-liver axis, inter-organ communication, patient-derived models, personalized medicine, regenerative medicine, tissue engineering, disease modeling, clinical translation
MeSH terms
Gastrointestinal Diseases, Humans, Models, Theoretical, Organoids, Reproducibility of Results, Bioprinting

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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