Early immune mechanisms of neonatal porcine islet xenograft rejection
Bibliographic record
Abstract
BACKGROUND: Neonatal pigs have the potential to provide an inexhaustible source of islets for the treatment of type 1 diabetes. However, the immunological barriers to islet xenotransplantation still need to be overcome. A better understanding of the xeno-specific immune responses that are involved in neonatal porcine islet (NPI) xenotransplant rejection will help to facilitate the identification of new targets for anti-rejection therapies, and thus enable more specific targeting of the immune cells and molecules involved. METHODS: In this study, we examined the early events of NPI xenograft rejection in the absence of autoimmunity using an immune-competent B6 mouse transplant model. Immune cells were identified by immunohistochemistry and immune molecules were identified by reverse transcription-PCR and flow cytometry assays. RESULTS: Our results demonstrated that early events in NPI xenograft rejection are characterized by initial infiltration of innate immune cells such as macrophages (M1) and neutrophils. CONCLUSIONS: Targeting these cells, which appear early in the rejection process, may provide an opportunity to abort the rejection process prior to activation of T cells. One strategy could be the blockade of chemotactic signals associated with preferential recruitment of immune cells into the graft site. Collectively, our studies demonstrated that early recruitment of immune cells into graft site is controlled by chemotactic activities and suggest a potential target to prevent the early infiltration of immune cells within the graft. Our findings in this study will have significance in improving NPI xenograft acceptance and induce long-term xenograft survival.
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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) | 0.001 | 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 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".