Safety Assessment of Stem Cell Islet Differentiation and Considerations for Clinical Translation
Notice bibliographique
Résumé
Type 1 Diabetes (T1D), characterized by the autoimmune destruction of pancreatic β-cells, causes severe fluctuations in blood glucose. T1D patients depend on daily insulin injections to live. While recent advances, such as CD3-targeting immunotherapies (e.g., teplizumab), have shown promise in delaying disease onset, T1D management remains burdensome despite improvements in insulin formulations, insulin pumps, and continuous glucose monitors (CGMs). Since 2000, the Edmonton Protocol for islet transplantation has offered a cell-based therapy for T1D. However, due to limited donor availability, challenges with engraftment, and the need for lifelong immunosuppression, this therapy is limited to adults with brittle glycemic control and severe hypoglycemic risk. This has prompted exploration of stem cell-derived islets (SC-islets) as an alternative cell source. The first section of this thesis summarizes the landscape of transplant therapies for diabetes including pancreas, islet, and islet-alternatives. Multiple groups have developed differentiation protocols to produce SC-islets from human embryonic stem cells (hESCs) or induced pluripotent stem cells (iPSCs) and several clinical trials are already underway. However, safety concerns around these cell products persist. Some cells fail to commit to the β-cell lineage during differentiation, leading to off-target populations that may form cysts or tumors after transplant. Therefore, an in vivo model for rigorous assessment of differentiation protocols, SC-islet products, and microenvironmental factors is critical. The second section of this thesis compares SC-derived pancreatic progenitor cell behavior across multiple transplant sites in mouse and rat models. ESC-derived progenitors were transplanted at four sites in immunodeficient mice (kidney capsule, portal vein, epididymal fat pad, and subcutaneously). iPSC-derived islets were transplanted into the same sites, along with the omentum which has previously been evaluated for clinical islet transplantation. Glucose tolerance testing and human C-peptide levels assessed functional efficacy of the transplanted cells. Transplant site differences influenced cell function, maturation, and cyst formation. Notably, the kidney capsule (KC) was the most prone to cyst development, irrespective of host species or cell line, suggesting its potential as an in vivo model for safety monitoring and quality control assessment. Cells also engrafted and functioned better at the KC – the gold standard for site for human islet transplantation in rodent models compared to the PV which is less accommodating to human islets and more prone to ischemia. This study highlighted the need for further optimization of our differentiation protocols. Recent studies have emphasized the importance of successful definitive endoderm (Stage 1; S1) differentiation to ensure later-stage SC-islet endocrine identity and homogeneity. Many protocols use bovine serum albumin (BSA) for differentiation however, it is not GMP (Good Manufacturing Process)-compliant and prohibited in clinical trials. In the third section, this thesis evaluates serum influence on S1 differentiation of H1 ESCs in planar conditions. Results show that BSA can be replaced with lyophilized HSA (human serum albumin) without impacting cell survival, definitive endoderm achievement, or later-stage endocrine differentiation. To advance SC-islet therapies clinically, it is important to understand the limitations of current diabetes care and surgical treatments. One population of interest are total pancreatectomy (TP) patients. TP is performed selectively for pancreatic malignancies, pancreatitis, and autoimmune conditions, but has historically been regarded fearfully due to concerns of severe hypoglycemia and loss of counter-regulatory hormones. However, with improved insulins and CGMs, outcomes may now be safer. This study evaluated 147 TP patients from the last 15 years, comparing those who underwent TP alone or TP with auto-islet transplant (TPAIT). Post-operative outcomes, morbidity, mortality, and glycemic control using CGMs were compared. TP patients exhibited comparable glycemic control and variability to insulin-dependent TPAIT patients – and better glycemic control than patients with brittle T1D. The final section discusses remaining challenges in translating SC-islets to clinical applications. This thesis contributes to establishing safety and quality control standards for SC-islet differentiation and off-target cell detection. Additionally, it informs differentiation protocol optimization, moving these therapies towards clinical trials and discusses important clinical endpoints for future trials. If successful, SC-islets could overcome the challenges faced by the Edmonton Protocol and offer a new cell-based therapy for millions of patients living with diabetes worldwide.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,019 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,014 | 0,005 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».