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Enregistrement W2413471360 · doi:10.1038/ctg.2015.42

Capturing Islet Stem Cells for a Bio-Artificial Pancreas

2015· article· en· W2413471360 sur OpenAlexaboutno aff
Avin Pothuloori, Sushela Chaidarun

Notice bibliographique

RevueClinical and Translational Gastroenterology · 2015
Typearticle
Langueen
DomaineMedicine
ThématiquePancreatic function and diabetes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIsletCell encapsulationMedicineTransplantationStem cellImmune systemProgenitor cellEmbryonic stem cellPancreatic isletsPancreasCell therapyCell biologyMesenchymal stem cellImmunologyPathologyInternal medicineInsulinBiologyTissue engineeringBiomedical engineeringBiochemistry

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION Encapsulation cell therapy, allows for embryonic pancreatic islet cells to differentiate into functional alpha, beta, and delta cells, mimicking the normal composition of the islets (“bio-artificial endocrine pancreas”) would be ideal for the treatment of diabetes. The use of immunosuppressive medications in allo-islet or pancreatic transplant has been associated with increased infections and malignancy. The goal of encapsulation technology is to safely protect the transplanted islets from both allo-rejection and autoimmunity without immunosuppression. The device prevents rejection by encapsulating the progenitor cells in a semi-permeable membrane that allows smaller molecules, such as oxygen, insulin, glucose and albumin to freely pass through the membrane. At the same time, the membrane prevents larger molecules, such as immune cells and antibodies, from entering the capsule, thereby preventing rejection of the differentiating and developing islet cells. The advent of encapsulation products that could cure Type 1 diabetes raises many questions. A few of those questions on the encapsulation cell therapy are reviewed in this article. HOW DOES THE ISLET CELL ENCAPSULATION FUNCTION? Currently there are several models of islet encapsulation therapy under investigation. The capsule functions as a medical drug delivery system that consists of a selectively porous cell membrane that encapsulates pancreatic islet stem cells or mature islet cells that are collected from human embryonic stem cells.1 The device is designed to protect the implanted cells from immune rejection, provide a platform for vascularization, and prevent the islet cells from leaving the implantation site. It also allows for nutrients, oxygen, and insulin to freely diffuse through the membrane. The semi-permeable membrane does not allow immune cells or infectious agents to penetrate it. Furthermore, since the pancreatic progenitor cells represent a cell type present in developing embryos, they have capacity to regenerate, differentiate, and evolve to function in a hypoxic environment, thereby promoting survival until vascularization has completed. The devices can be implanted as a thin membranous pouch of islet stem cells under the skin or infused as tiny pellets into peritoneal cavity.1, 2 Assuming the stem cells survive the implant, it takes 2–3 months for the progenitor cells to vascularize and mature into insulin-producing beta cells, based on data from the mouse models. Insulin is released from the capsule in a glucose-responsive manner. In addition to insulin-producing beta cells, the capsule is infused with mixed islet cell populations, including those that differentiate into glucagon-producing alpha cells and somatostatin-producing delta cells, all of which are critical in the fine regulation of blood glucose levels. CURRENT CLINICAL TRIAL INVOLVING THE ISLET ENCAPSULATION IN HUMAN Currently there is a Phase I/II clinical trial in human subjects, started in September 2014 at the Sanford Stem Cell Clinical Center at the University of California, San Diego, California, USA (ClinicalTrials.gov (ID: NCT02239354): a safety, tolerability, and efficacy Study of VC-01 combination product in subjects with Type I diabetes mellitus). The initial phase of the study involves adults with Type 1 diabetes mainly for safety and efficacy of the islet encapsulation treatment. The second phase will consist of patients from 6 different centers in the United States and Canada. In addition to the primary outcome of a stimulated C-peptide measurement, the study will track the patients' exogenous insulin usage, glucose levels, hypoglycemia, safety, and tolerability. Preliminary data from the clinical trial is yet to be released. WHAT ARE THE LIMITATIONS OF THE ISLET ENCAPSULATION THERAPY? Beta cells require high oxygen levels to function properly and they receive the highest oxygen gradients within the pancreas. When taken out of the pancreas and transplanted to the liver as in auto-islet transplant, a drop in oxygen gradient can lead to early death of the beta islet cells. Similarly, since it can take up to 3 months for vascularization to occur within the membranous pouch, there is concern that the islet cells will not survive such a period of decreased oxygenation. The use of embryonic progenitor cells instead of differentiated beta islet cells shows significant advantage as the stem cells are able to develop in a low oxygen environment much better than the encapsulation devices that have used mature beta islet cells.3, 4 The advance in biocompatible encapsulation drug delivery system provides hope for large-scale islet replacement therapy using encapsulated islets derived from embryonic pancreatic stem cells without immunosuppression. If the system performs well in the clinic as it has in pre-clinical studies, then it might be used as an alternative to insulin therapy or whole pancreas transplant in the future to manage, if not cure, Type 1 diabetes and insulin-requiring Type 2 diabetes mellitus.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,173
Score d'incertitude au seuil0,324

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,104
Tête enseignante GPT0,333
Écart entre enseignants0,228 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

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