ANTI-TUBULAR BASEMENT MEMBRANE ANTIBODIES AND GIANT CELL FORMATION IN A MODEL OF CHRONIC RENAL ALLOGRAFT REJECTION
Bibliographic record
Abstract
BACKGROUND: In the Fisher (F344)-to-Lewis (LEW) kidney transplantation (Tx) model of chronic rejection, antibodies reactive with tubular basement membranes have been found. We investigated whether giant cells, typical for a granulomatous inflammatory reaction, can be found during allograft rejection. METHODS: F344-to-LEW renal Txs were performed, and kidneys were removed at various time points. Kidneys were analyzed by histology and immunohistochemistry. Interferon-gamma levels were measured by reverse-transcriptase polymerase chain reaction. RESULTS: Multinucleated Langhans'-type giant cells were found in F344 allografts at days 21 and 30 and disappeared thereafter. Giant cells were not observed in LEW allografts. The giant cells were ED1, OX-43, and major histocompatibility complex class II positive. All grafts showed transient expression of interferon-gamma, peaking at days 7 to 14 post-Tx. CONCLUSION: Granulomatous inflammation with giant cell formation occurs in the F344-to-LEW model and may represent an alloimmune response against tissue-specific antigens.
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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".