Fibrin supports subcutaneous neonatal porcine islet transplantation without the need for pre‐vascularization
Bibliographic record
Abstract
BACKGROUND: Neonatal porcine islets (NPIs) are a promising tissue source for clinical islet xenotransplantation. To facilitate graft monitoring and recovery if needed, an extra-hepatic transplant site would be optimal. In addition, islet transplantation into the portal vein has been associated with life-threatening intraperitoneal bleeding, portal vein thrombosis, hepatic steatosis, and loss of islet graft function. Although it is hypoxic, the subcutaneous space is a potential extra-hepatic location for clinical islet transplantation. In this study, we explore the benefits of fibrin scaffolds in enhancing the engraftment and long-term function of NPI grafts in this ectopic site. METHODS: Diabetic immune-compromised mice were transplanted with 5000 NPIs under the kidney capsule (KC), and subcutaneously with or without fibrin (SC + F, SC, respectively). All mice were monitored for reversal of hyperglycemia and long-term metabolic function. RESULTS: All mice transplanted with NPI under the KC or SC + F (12/12 and 17/17, respectively) achieved normal fasting blood glucose levels between 5 and 22 weeks post-transplantation and displayed normal glucose tolerance during an intraperitoneal glucose tolerance test. In contrast, NPIs transplanted SC with no fibrin (n = 7) failed to obtain normoglycemia. CONCLUSION: Fibrin matrix facilitates engraftment of NPIs in the subcutaneous site of diabetic mice. These data support further investigation of the subcutaneous site for clinical islet xenotransplantation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".