Fusion of blood vessel organoids with human pancreatic islets improves insulin response over time
Bibliographic record
Abstract
Abstract Pancreatic islet transplantation is a promising treatment strategy for type 1 diabetes, however there are still major challenges to overcome, including vascularization. Novel strategies for the generation of prevascularized islets with native microvessels have reported improved islet functionality, vascularization and engraftment emphasizing integral role of microvascular bed. Recently a new model of self-organizing three-dimensional human blood vessel organoids (BVOs) has been developed from human pluripotent stem cells (hPSCs), composed of both endothelial and mural cells. BVO recapitulate key features of human microvasculature such as formation of vascular network, vascular lumen and basement membrane, and have been shown to be perfusable. Here, we report a new strategy to construct prevascularized islets by fusion with hPSC-derived BVOs. We demonstrate that islets and BVOs in co-culture leads to fusion and improved insulin secretion over time, on two independent human islet donors, suggesting a new therapeutic approach for pancreatic islet transplantation and type 1 diabetes modeling.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".