Reassessment of the Vascularization of Renal Subcapsular Islet Grafts
Bibliographic record
Abstract
OBJECTIVES: The purpose of this study was to evaluate the functional significance of the renal capsular vessels in renal subcapsular islet grafts. METHODS: Syngeneic islets were transplanted under the left renal capsule of diabetic Wistar-Furth rats. At 4 weeks post-transplantation, the left renal artery and vein were ligated (group A); in group B, the left renal capsule was dissected to remove capsular vessels; or both were performed in group C. Controls included ligation of the right renal vessels (group D). RESULTS: : All recipients achieved normoglycemia post-transplantation. Treatments for groups A, B, and D did not result in significant changes in glycemia and glucose tolerance. In contrast, all rats in group C returned to hyperglycemia immediately post-treatment. Insulin contents in grafts harvested at 10 days post-treatment in groups A and B were significantly lower than those in group D but higher than those in group C. Histologic examination revealed well-preserved insulin-positive cells under the capsule of necrotic kidney at 8 weeks post-treatment in group A. CONCLUSIONS: Renal subcapsular islet grafts do not acquire their blood supply solely from the renal artery but rather from the renal capsular arteries as well. Not only renal veins but also renal capsular veins play a role as effluent vessels from these grafts.
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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 | 0.001 |
| 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".