Evidence map›Paper›PMID 32852858›Full record

ReviewTransplant international : official journal of the European Society for Organ Transplantation2020

Generation of insulin-secreting organoids: a step toward engineering and transplanting the bioartificial pancreas.

Charles-Henri Wassmer, Fanny Lebreton, Kevin Bellofatto, Domenico Bosco, Thierry Berney, Ekaterine Berishvili

Abstract readReview
In one paragraph

Review in Transplant international : official journal of the European Society for Organ Transplantation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Organoids for transplant research.Transplant international : official journal of the European Society for Organ Transplantation · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Allogeneic Islet Transplantation: Chronicle of a Death Foretold?Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Article
  10. Article
  11. Article
  12. The Future of Beta Cells Replacement in the Era of Regenerative Medicine and Organ Bioengineering.Transplant international : official journal of the European Society for Organ Transplantation · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Importance of multiple endocrine cell types in islet organoids for type 1 diabetes treatment.Translational research : the journal of laboratory and clinical medicine · 2022
    Review
  17. Review
  18. Article
  19. 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

6 authors.

Charles-Henri WassmerCell Isolation and Transplantation Center, Department of Surgery, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.
Fanny LebretonCell Isolation and Transplantation Center, Department of Surgery, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.
Kevin BellofattoCell Isolation and Transplantation Center, Department of Surgery, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.
Domenico BoscoCell Isolation and Transplantation Center, Department of Surgery, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.
Thierry BerneyCell Isolation and Transplantation Center, Department of Surgery, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.ORCID 0000-0002-4230-9378
Ekaterine BerishviliCell Isolation and Transplantation Center, Department of Surgery, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.ORCID 0000-0002-7969-1937

Funding

H2020 Health VANGUARD 874700Juvenile Diabetes Research Foundation International 3-SRA-2020-926-S-BSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030_170090Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030_173138Shota Rustaveli National Science Foundation FR-19-19760
6 · The paper itself

Abstract

Diabetes is a major health issue of increasing prevalence. ß-cell replacement, by pancreas or islet transplantation, is the only long-term curative option for patients with insulin-dependent diabetes. Despite good functional results, pancreas transplantation remains a major surgery with potentially severe complications. Islet transplantation is a minimally invasive alternative that can widen the indications in view of its lower morbidity. However, the islet isolation procedure disrupts their vasculature and connection to the surrounding extracellular matrix, exposing them to ischemia and anoikis. Implanted islets are also the target of innate and adaptive immune attacks, thus preventing robust engraftment and prolonged full function. Generation of organoids, defined as functional 3D structures assembled with cell types from different sources, is a strategy increasingly used in regenerative medicine for tissue replacement or repair, in a variety of inflammatory or degenerative disorders. Applied to ß-cell replacement, it offers the possibility to control the size and composition of islet-like structures (pseudo-islets), and to include cells with anti-inflammatory or immunomodulatory properties. In this review, we will present approaches to generate islet cell organoids and discuss how these strategies can be applied to the generation of a bioartificial pancreas for the treatment of type 1 diabetes.

Indexed as

Diabetes Mellitus, Type 1Islets of LangerhansIslets of Langerhans TransplantationHumansInsulinOrganoidsInsulinbioengineeringcell transplantationislet transplantationorganoidstype 1 diabetes

Identifiers

PMID32852858
PMCPMC7756715

What OpenQuestion holds

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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.