Liver & Pancreas
Bibliographic record
Abstract
system.In addition, a subgroup of these patients were screened for antibody to major and minor histocompatibility antigens with solid phase assays using purified antigens and the Luminex technology.Results: Thirteen of fifteen (13/15) explants were found to be positive for C4d deposition indicating a humoral component of rejection.C4d deposition was also found to strongly correlate with the presence of vascular fibrinoid necrosis, but no other correlation with evaluated vascular changes could be noted.Nearly all cases demonstrated moderate or severe tubular atrophy, glomerulosclerosis, interstitial inflammation, and vascular intimal sclerosis.All recipients had detectable circulating antibodies against both major (HLA Class I and /or II) and/or Minor Histocompatibility Antigens.Notably, the antibodies present were donor specific in the majority of recipients tested. Conclusions:The results of this study confirm the substantial role of humoral rejection in chronically rejected renal allografts and provides further support for the correlation between C4d deposition and fibrinoid necrosis previously reported in other studies of acute humoral rejection utilizing renal allograft biopsies.The most striking observation of this study was severe vascular intimal sclerosis of large arteries in a preponderance of cases.This finding in C4d positive cases lends further support to studies performed in animal models that suggest a causative role of antibody mediated mechanisms in transplant vasculopathies. Amelioration of Progressive Renal Injury by Peroxisome Proliferator-Activated Receptor-gamma (PPARγ) Agonist in Aging Rats
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.157 | 0.068 |
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".