Donor pigs for clinical islet xenotransplantation: Review and future directions
Bibliographic record
Abstract
Allogeneic islet transplantation becomes a viable option for patients with unstable type 1 diabetes. However, considering the huge number of patients with type 1 diabetes, human donor shortage is a serious issue. To overcome the donor shortage issue, xenotransplantation is an attractive option. In fact, clinical islet xenotransplantation has been conducted since 1990s. The first clinical trial was performed using fetal pigs and demonstrated the porcine pancreatic tissue could survive in human body with immunosuppressive strategies. To scale up the islet production, Canadian group established a method for islet isolation from neonatal pigs. Their method has been used for clinical islet xenotransplantation in New Zealand, Russian, Mexico, Argentina, and China. Recently Korean group published a clinical protocol for islet xenotransplantation using adult pigs. For the next generation of islet xenotransplantation, gene-modified pigs were created. Especially "superislets" created by Belgian group demonstrated promising preclinical outcomes. With advanced donor pigs, islet xenotransplantation might become a suitable treatment for the majority of type 1 diabetic patients.
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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) | 0.002 | 0.001 |
| 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".