ReviewThe review of diabetic studies : RDS2017
Encapsulated Islet Transplantation: Where Do We Stand?
Review in The review of diabetic studies : RDS, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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.
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.
Who cites it
52 citing papers in PubMed, 92 citations in OpenAlex.
- Advancing Type 1 Diabetes Treatment: 3 PM-Oriented Innovations in Islet Transplantation and Biomaterial Engineering.Diabetes/metabolism research and reviews · 2026Review
- Stem cell-based therapies for type 1 diabetes: Progress in differentiation, clinical translation, and immune protection.Animal models and experimental medicine · 2026Review
- An Accessible Platform to Quantify Oxygen Diffusion in Cell-Laden Hydrogels and Its Application to Alginate-Immobilized Pancreatic Beta Cells.Biotechnology and bioengineering · 2026Article
- Review
- Towards curing type 1 diabetes: Prospects and challenges of allogeneic or xenogeneic donor islet cell transplantation.World journal of transplantation · 2025Review
- Assessing mesh size and diffusion of alginate bioinks: A crucial factor for successful bioprinting functional pancreatic islets.Materials today. Bio · 2025Article
- Type 1 diabetes mellitus (T1DM) does not affect whole blood responses to alginate-based microspheres despite plasma lipid and glucose differences.Materials today. Bio · 2025Article
- Historically Based Perspective on the Immunotherapy of Type 1 Diabetes: Where We Have Been, Where We Are, and Where We May Go.Journal of clinical medicine · 2025Article
- Review
- From stem cells to pancreatic β-cells: strategies, applications, and potential treatments for diabetes.Molecular and cellular biochemistry · 2025Review
- Alginate-Poly[2-(methacryloyloxy)ethyl]trimethylammonium Chloride (PMETAC) Immunoisolating Capsules Prolong the Viability of Pancreatic Islets In Vivo.Biomedicines · 2024Article
- Article
- Encapsulation of HRP-Immobilized Silica Particles into Hollow-Type Spherical Bacterial Cellulose Gel: A Novel Approach for Enzyme Reactions within Cellulose Gel Capsules.Gels (Basel, Switzerland) · 2024Article
- Immunoprotection Strategies in β-Cell Replacement Therapy: A Closer Look at Porcine Islet Xenotransplantation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Encapsulation and immune protection for type 1 diabetes cell therapy.Advanced drug delivery reviews · 2024Review
- Narrative review of the role of technology in pediatric diabetes: from testing blood glucose to subcutaneous automated therapy and hope for cure.Translational pediatrics · 2023Review
- A Case for Material Stiffness as a Design Parameter in Encapsulated Islet Transplantation.Tissue engineering. Part B, Reviews · 2023Review
- Nanothin Conformal Coating with Poly(N-vinylpyrrolidone) and Tannic Acid (PVPON/TA) Preserves Murine and Human Pancreatic Islets Function.Pharmaceutics · 2023Article
- Challenges with Cell-based Therapies for Type 1 Diabetes Mellitus.Stem cell reviews and reports · 2023Review
- Hyperglycemic Conditions Enhance the Mechanosensitivity of Proinflammatory RAW264.7 Macrophages.Tissue engineering. Part A · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transplantation of pancreatic islets encapsulated within immuno-protective microcapsules is a strategy that has the potential to overcome graft rejection without the need for toxic immunosuppressive medication. However, despite promising preclinical studies, clinical trials using encapsulated islets have lacked long-term efficacy, and although generally considered clinically safe, have not been encouraging overall. One of the major factors limiting the long-term function of encapsulated islets is the host's immunological reaction to the transplanted graft which is often manifested as pericapsular fibrotic overgrowth (PFO). PFO forms a barrier on the capsule surface that prevents the ingress of oxygen and nutrients leading to islet cell starvation, hypoxia and death. The mechanism of PFO formation is still not elucidated fully and studies using a pig model have tried to understand the host immune response to empty alginate microcapsules. In this review, the varied strategies to overcome or reduce PFO are discussed, including alginate purification, altering microcapsule geometry, modifying alginate chemical composition, co-encapsulation with immunomodulatory cells, administration of pharmacological agents, and alternative transplantation sites. Nanoencapsulation technologies, such as conformal and layer-by-layer coating technologies, as well as nanofiber, thin-film nanoporous devices, and silicone based NanoGland devices are also addressed. Finally, this review outlines recent progress in imaging technologies to track encapsulated cells, as well as promising perspectives concerning the production of insulin-producing cells from stem cells for encapsulation.
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What OpenQuestion holds
Registered trials
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.