Monotherapy with Anti-LFA-1 Monoclonal Antibody Promotes Long-Term Survival of Rat Islet Xenografts
Bibliographic record
Abstract
Previously we demonstrated that anti-LFA-1 monoclonal (mAb) could promote long-term survival of discordant porcine islet xenografts in mice. The aim of this study, therefore, was to determine whether a shortterm administration of anti-LFA-1 mAb would promote long-term survival of concordant rat islet xenografts in mice, and whether combining short-term administration of anti-LFA-1 mAb therapy with an immunosuppressive drug, rapamycin, would facilitate islet xenograft survival. Streptozotocin-induced diabetic BALB/c mice were transplanted with 500 Wistar-Furth rat islets under the kidney capsule and were either left untreated or treated with short-term administration of rapamycin (0.2 mg/kg) alone, anti-LFA-1 mAb (0.2 mg/ dose) alone, or a combination of rapamycin and anti-LFA-1 mAb using the same doses. All untreated mice rejected their grafts by 24 days posttransplantation with a mean graft survival time of 18.8 +/- 2.5 days posttransplantation (n = 5). All mice treated with rapamycin alone had prolonged islet graft survival but eventually rejected their islet grafts by 81 days posttransplantation. In contrast, the majority of the mice (27/ 28) treated with anti-LFA-1 mAb alone maintained long-term normoglycemia (>100 days). Rapamycin in combination with anti-LFA-1 mAb proved equally effective with 29 of 30 mice maintaining normoglycemia for more than 100 days posttransplantation. Low levels of mouse anti-rat antibodies, as well as a decrease in the degree of mononuclear cell infiltration of the islet graft, closely correlated with long-term islet xenograft survival. These results demonstrate that monotherapy with anti-LFA-1 mAb is highly effective in promoting long-term survival of rat islet xenografts and that combination of anti-LFA-1 mAb with rapamycin does not facilitate nor abrogate the induction of long-term xenograft survival by anti-LFA-1 mAb therapy in BALB/c mice. Our study indicates that immunomodulation through mAb therapy could form a significant component of future antirejection therapies in clinical islet xenotransplantation.
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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 | 0.000 |
| 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".