Sex Differences in Maturation and Function of Neonatal Porcine Islets Upon Transplantation in Mice
Bibliographic record
Abstract
ABSTRACT Background Neonatal porcine islets (NPIs) can mature into a mixed population of endocrine cells that can restore glucose control in mice, pigs, and non‐human primates, representing a potential alternative islet source for clinical beta cell replacement therapy. However, it remains unclear how conditions in the recipient influence the maturation and function of these cells. Here, we investigated the impact of host sex on NPIs implanted under the kidney capsule of male and female B6.129S7‐Rag1tm1Mom (B6/Rag−/−) mice. Methods Diabetic mice were transplanted with 3000 NPIs under the kidney capsule. All mice were monitored for reversal of hyperglycemia and glucose clearance at 8‐ and 20‐weeks post‐transplant. Grafts were assessed for cell composition and insulin content. Results Female mice demonstrated improved glucose clearance at 8‐ and 20‐weeks post‐transplant compared to their male counterparts. Improved glucose clearance correlated with accelerated diabetes reversal in females (8 weeks vs. 12 weeks in males) and increased rates of euglycemic achievement (17/18 in females vs. 14/19 in males). However, grafts collected from male mice exhibited an increased percentage of insulin‐positive cells as well as increased insulin content. Conclusion The sex of the host influences the outcomes of NPI transplantation, showcasing the relevance of understanding the role of sex as a biological variable in islet transplantation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".