Human Islet Function Is Not Impaired by the Sphingosine‐1‐Phosphate Receptor Modulator FTY720
Bibliographic record
Abstract
Clinical islet transplantation for type 1 diabetes mellitus currently requires potent immunosuppressive drugs, which limits the procedure to the most severe forms of the disease, and many of the drugs are directly beta-cell toxic. A class of compounds called sphingosine-1-phosphate receptor modulators has been explored in transplantation and shown to be highly effective in multiple sclerosis and other autoimmune conditions. While FTY720, the first drug in this class, may not move forward initially in transplantation, this class requires detailed investigation to assess direct impact upon human beta-cell function and survival. We set out to evaluate the effects of FTY720 on human islets in vitro by investigating glucose-stimulated insulin and apoptosis; and in vivo, after transplantation into immunodeficient mice with chemically induced diabetes, by examining blood glucose levels, oral glucose tolerance tests and stimulated human C-peptide over a 50-day follow-up period. Our data showed that neither in vitro, nor in vivo human islet function was impaired by FTY720 exposure. Since FTY720 demonstrated no detrimental effects on human islet function in vitro or in vivo, emerging S1PR modulators may prove to be useful adjuncts in clinical islet transplantation through lack of diabetogenicity and potent immunological protection.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".