Graft Inflammation and Histologic Indicators of Kidney Chronic Allograft Failure: Low-Expressing Interleukin-10 Genotypes Cannot Be Ignored
Bibliographic record
Abstract
BACKGROUND: Infiltration of inflammatory cells into the renal allograft interstitium is the biologic hallmark of alloimmune responses that leads to tubulointerstitial injury and subsequent interstitial fibrosis and chronic allograft failure. The proliferation, stimulation, and infiltration of these inflammatory cells are governed by various proinflammatory and regulatory cytokines. We assessed whether the differences in the genes encoding cytokines (producing low, moderate, or high expression profiles) may affect the infiltration of inflammatory cells into the renal allograft and the histologic changes characteristics of chronic allograft failure. METHODS: A total of 218 kidney transplant recipients were genotyped for 15 single-nucleotide polymorphisms located in the gene promoter or exonic regions of 10 different cytokines or their receptors. Six- to 12-month posttransplant surveillance biopsies were scored using 11 individual histologic parameters and the combined grade of interstitial fibrosis and tubular atrophy (IF/TA). B-cell, T-cell, and macrophage infiltrates were quantified by immunostaining. RESULTS: The low-expressing interleukin (IL)-10 gene promoter genotypes were found significantly associated with high IF/TA grade (IL-10 -819 TT; P=0.035; odds ratio=3.27; 95% confidence interval 1.1-9.8). At individual histologic indices, recipients carrying low-expressing IL-10 genotypes showed 2.5-fold higher scores for interstitial fibrosis, inflammation, and tubular atrophy. High infiltration of T cells and macrophages but not B cells into the renal allograft interstitium was found strongly associated with the carriage of low-expressing IL-10 genotypes. CONCLUSIONS: The results suggest that renal transplant recipients genetically predisposed to low expression of the regulatory cytokine IL-10 are more susceptible to high grades of IF/TA scores, graft inflammation, and high influx of inflammatory cells into the graft interstitium.
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 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".