Evidence map›Paper›PMID 39872972›Full record

ReviewIn vitro models2022

Islet-on-a-chip for the study of pancreatic β-cell function.

Júlia Rodríguez-Comas, Javier Ramón-Azcón

Abstract readReview
In one paragraph

Review in In vitro models, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Experimental models in diabetes research.Laboratory animal research · 2026
    Review
  2. 3D Bioprinting Strategies in Autoimmune Disease Models.International journal of molecular sciences · 2025
    Review
  3. Strategies for optimization of hypoglycemia rat models.Animal models and experimental medicine · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. Type 1Micromachines · 2023
    Review
  8. Journal of obesity · 2023
    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

2 authors.

Júlia Rodríguez-ComasBiosensors for Bioengineering Group, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac, 10-12, 08028 Barcelona, Spain.
Javier Ramón-AzcónBiosensors for Bioengineering Group, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac, 10-12, 08028 Barcelona, Spain.ORCID 0000-0002-3636-8013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a significant public health problem worldwide. It encompasses a group of chronic disorders characterized by hyperglycemia, resulting from pancreatic islet dysfunction or as a consequence of insulin-producing β-cell death. Organ-on-a-chip platforms have emerged as technological systems combining cell biology, engineering, and biomaterial technological advances with microfluidics to recapitulate a specific organ's physiological or pathophysiological environment. These devices offer a novel model for the screening of pharmaceutical agents and to study a particular disease. In the field of diabetes, a variety of microfluidic devices have been introduced to recreate native islet microenvironments and to understand pancreatic β-cell kinetics in vitro. This kind of platforms has been shown fundamental for the study of the islet function and to assess the quality of these islets for subsequent in vivo transplantation. However, islet physiological systems are still limited compared to other organs and tissues, evidencing the difficulty to study this "organ" and the need for further technological advances. In this review, we summarize the current state of islet-on-a-chip platforms that have been developed so far. We recapitulate the most relevant studies involving pancreatic islets and microfluidics, focusing on the molecular and cellular-scale activities that underlie pancreatic β-cell function.

Indexed as

DiabetesIslet-on-chipMicrofluidicsOrgan-on-chipPancreatic islets

Identifiers

PMID39872972
PMCPMC11749753

What Socratic 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 Socratic graph.