The effect of bone marrow transplantation on survival of allogeneic pancreatic islets with short-term tacrolimus conditioning in rats.
Bibliographic record
Abstract
OBJECTIVE: Specific immune tolerance achieved by induction of lymphocyte chimerism could reduce the need for immunosuppressive therapy in pancreatic islet transplantation. The aim of the experiment was to assess the effect of pre-treatment with donor specific bone marrow on the function of allogeneic islets under the conditions of a short-term immunosuppression. METHODS: Male Lewis-Brown Norway and female Brown Norway rats were used as donors and recipients, respectively. In all recipients diabetes was induced by streptozotocin. In Group 1, 5 animals were treated only by islet transplantation. In Group 2, 7 rats underwent islet transplantation after previous 45-day therapy with tacrolimus 1 mg/kg and hydrocortisone 2 mg/kg, which was stopped 6 days after islet transplantation. Recipients in Group 3 (n = 16) were treated as Group 2 (n = 7) and, in addition, underwent transplantation of 10(8) bone marrow cells 10 days after initiation of immunosuppressive therapy. RESULTS: In Group 1, islets were rejected after a median survival time of 11 days. In Groups 2 and 3, islet function has been demonstrated for more than 70 days in all animals. CONCLUSIONS: Short-term immunosuppressive therapy prevented islet rejection for at least 70 days. Longer follow-up period is needed to show whether peripheral microchimerism induced by bone marrow transplantation will further improve islet survival in non-immunosuppressed recipients.
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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) | 0.001 | 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 | 0.001 |
| 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".