Survival of Microencapsulated Islets at 400 Days Posttransplantation in the Omental Pouch of NOD Mice
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Bibliographic record
Abstract
The long-term durability of agarose microencapsulated islets against autoimmunity was evaluated in NOD mice. Islets were isolated from 6-8-week-old prediabetic male NOD mice and microencapsulated in 5% agarose hydrogel. Microencapsulated or nonencapsulated islets were transplanted into the omental pouch of spontaneously diabetic NOD mice. Although the diabetic NOD mice that received nonencapsulated islets experienced a temporary reversal of their hyperglycemic condition, all 10 of these mice returned to hyperglycemia within 3 weeks. In contrast, 9 of 10 mice transplanted with microencapsulated islets maintained normoglycemia for more than 100 days. Islet grafts were removed at 100, 150, 200, 300, and 400 days posttransplantation. A prompt return to hyperglycemia was observed in the mice after graft removal, indicating that the encapsulated islet grafts were responsible for maintaining euglycemia. Histological examination revealed viable islets in the capsules at all time points of graft removal. In addition, beta-cells within the capsules remained well granulated as revealed by the immunohistochemical detection of insulin. No immune cells were detected inside the microcapsules and no morphological irregularities of the microcapsules were observed at any time point, suggesting that the microcapsules successfully protected the islets from cellular immunity. Sufficient vascularization was evident close to the microcapsules. Considerable numbers of islets showed central necrosis at 400 days posttransplantation, although the necrotic islets made up only a small percentage of the islet grafts. Islets with central necrosis also showed abundant insulin production throughout the entire islets, except for the necrotic part. These results demonstrate the long-term durability of agarose microcapsules against autoimmunity in a syngeneic islet transplantation model in NOD mice.
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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 it