Rapid Destruction of Encapsulated Islet Xenografts by NOD Mice is CD4-Dependent and Facilitated by B-cells: Innate Immunity and Autoimmunity Do Not Play Significant Roles
Bibliographic record
Abstract
BACKGROUND: Spontaneously diabetic NOD mice rapidly reject microencapsulated islet xenografts via an intense pericapsular inflammatory response. METHODS: Tilapia (fish) islets were encapsulated in 1.5% alginate gel microspheres. Recipients in series 1 were spontaneously diabetic NOD mice and streptozotocin-diabetic nude, euthymic Balb/c, prediabetic NOD, and NOR (a recombinant congenic strain not prone to autoimmune diabetes) mice. Recipients in Series 2 were STZ-diabetic NOD, NOD-scid, NOD CD4 T-cell KO, NOD CD8 T-cell KO, and NOD B-cell KO mice. RESULTS: In Series 1, encapsulated fish islet grafts uniformly survived long-term in nude mice but were rejected in Balb/c and, at a markedly accelerated rate, in spontaneously diabetic NOD, streptozotocin-diabetic NOD and NOR recipients. Histologically, intense inflammation (macrophages and eosinophils) surrounding the microcapsules was seen only in NOD and NOR recipients. In Series 2, encapsulated fish islets uniformly survived long-term in NOD-scid and NOD CD4 KO mice; graft survival was markedly prolonged in B-cell KO (P<0.001) but not CD8 KO mice. CONCLUSIONS: The rapid rejection of alginate encapsulated islet xenografts by NOD mice is not solely a consequence of beta-cell directed autoimmunity nor is it merely a vigorous innate immune response. Graft rejection requires CD4 T-cells, is facilitated by B-cells, and does not require CD8 T-cells.
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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".