CHEMOKINE EXPRESSION IN NERVE ALLOGRAFTS
Bibliographic record
Abstract
OBJECTIVE: Chemokines (chemoattractant cytokines) play a major role in trafficking of cells to areas of inflammation. Infiltration of allograft tissues by immunocompetent cells is critical for rejection of donor tissues. The role of chemokines in nerve allograft rejection is not clear. We hypothesized that chemokines are responsible for attracting macrophages and T lymphocytes into nerve allograft tissue, initiating the graft rejection process. METHODS: Lewis rats received 4-cm-long peroneal nerve allografts and isografts from ACI and Lewis rats, respectively. Twelve hours to 10 days after transplantation, grafts were removed and total cellular ribonucleic acid was extracted. Intragraft gene expression of several chemokines (cytokine-induced neutrophil chemoattractant, macrophage inflammatory protein [MIP]-2, monocyte chemoattractant protein-1, MIP-1 alpha, and regulated upon activation normal T-cell expressed and secreted [RANTES]) were analyzed by reverse transcription-polymerase chain reaction. RESULTS: The cytokine-induced neutrophil chemoattractant was expressed in allografts and isografts at early time points (12 h to 6 d). Monocyte chemoattractant protein-1 messenger ribonucleic acid expression was similarly high in both isografts and allografts from 12 hours until 8 days after transplantation. MIP-1 alpha, MIP-2, and RANTES were expressed only in allografts. Kinetics of the neutrophil (MIP-2) and macrophage (MIP-1 alpha) chemokines revealed an early onset (12-24 h), a plateau from 1 to 4 days, and expression abruptly declining by Day 6. The lymphocyte chemoattractant RANTES had delayed kinetics, with a rise at Day 3, a peak at Day 4, and a gradual decline. CONCLUSION: Induction of specific chemokine genes precedes nerve allograft infiltration by immunocompetent cells. MIP-1 alpha, MIP-2, and RANTES may be responsible for recruiting macrophages, granulocytes, and lymphocytes, respectively, to the rejecting allograft. In future studies, blockade of these specific chemokines or their receptors may prove to delay or prevent nerve allograft rejection.
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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".