Defining the Canonical Form of T-Cell-Mediated Rejection in Human Kidney Transplants
Bibliographic record
Abstract
Banff defines T-cell-mediated rejection (TCMR) using nonspecific lesions and arbitrary cutoffs, with no external gold standard. We reexamined features of TCMR using exclusively molecular definition independent of histopathology. The definition was derived from mouse kidney transplants with fully developed TCMR, and is based on high expression of transcripts reflecting IFNG effects and alternative macrophage activation. In 234 human kidney transplant biopsies for cause phenotyped by microarrays, we identified 26 biopsies meeting these criteria. After excluding three biopsies with unrelated diseases, all 23 biopsies had typical Banff lesions of TCMR (inflammation, tubulitis), with v lesions in 10/23. Banff histopathology diagnosed 18 as TCMR, 1 as mixed and 4 as borderline. Despite marked changes in transcriptome indicating tissue injury and dedifferentiation, all kidneys with molecularly defined TCMR, even with v lesions or late rejection, demonstrated excellent recovery of function at 6 months with no graft loss (mean follow-up 2.5 years). Thus TCMR defined exclusively by molecules manifests TCMR-related lesions and function impairment, but good recovery and survival, even with late rejection or arteritis. This combination of pathologic, clinical and molecular features constitutes the typical or canonical T-cell-mediated rejection.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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 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".