Evidence map›Paper›PMID 41273073›Full record

ReviewCell transplantation

Cell therapy for type 1 diabetes: Tracing historical progress and exploring emerging technologies.

Quentin Perrier, Sandrine Lablanche, Pierre-Yves Benhamou

Abstract readReview
In one paragraph

Review in Cell transplantation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Quentin PerrierUniv. Grenoble Alpes, Inserm U1055, Department of pharmacy, Grenoble Alpes University Hospital, LBFA, Grenoble, France.ORCID 0000-0002-7445-7922
Sandrine LablancheUniv. Grenoble Alpes, Inserm U1055, Department of Diabetology, Endocrinology and Nutrition, Grenoble Alpes University Hospital, LBFA, Grenoble, France.ORCID 0000-0001-7044-8474
Pierre-Yves BenhamouUniv. Grenoble Alpes, Inserm U1055, Department of Diabetology, Endocrinology and Nutrition, Grenoble Alpes University Hospital, LBFA, Grenoble, France.ORCID 0000-0003-4378-0468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes remains an incurable autoimmune disease, and despite advances in insulin-delivery systems, many patients still face severe hypoglycemia, glucose variability, and psychological burden. Beta-cell replacement offers a transformative alternative, with allogeneic islet transplantation providing durable protection and improved quality of life, yet limited by donor availability and the need for immunosuppression. Stem cell-derived islet-like clusters are now reaching clinical milestones, showing promising insulin independence and glycemic control, while encapsulation, autologous induced pluripotent stem cells (iPSC)-derived therapies, and gene-edited "hypo-immune" cells aim to overcome immune barriers. Porcine islet xenotransplantation is also being revisited, although regulatory and immunological hurdles remain. Key challenges persist in cell delivery, engraftment, and long-term function. As cell therapy transitions from experimental proof-of-concept to clinical reality, success will require scalable manufacturing, safe and effective delivery, regulatory alignment, and patient-centered approaches to ensure broad and meaningful impact.

Indexed as

Cell- and Tissue-Based TherapyDiabetes Mellitus, Type 1Islets of Langerhans TransplantationAnimalsHumansInduced Pluripotent Stem CellsInsulin-Secreting Cellscell therapydiabetesislet transplantationstem-celltechnology

Identifiers

PMID41273073
PMCPMC12640444

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.