Endothelin-Mediated Oncofetal Fibronectin Expression in Chronic Allograft Nephropathy
Bibliographic record
Abstract
BACKGROUND: Chronic allograft nephropathy is a sclerotic process characterized by an increased extracellular matrix (ECM) protein deposition. Fibronectin (FN) is a major component of ECM. FN has been reported to undergo alternative splicing and produce several isoforms including the extra domain-B (ED-B) containing embryonic isoform. In the present study, we investigated ED-B FN expression in chronic allograft nephropathy and its relationship with endothelins (ET). METHODS: To establish chronic allograft nephropathy, allografts were performed between Fisher 344 --> Lewis rats. Allograft recipients were then randomly divided into two groups, allografts and allografts treated with ET receptor antagonist bosentan. Lewis --> Lewis recipients were used as isograft controls. Grafts were harvested at 30, 90 and 140 days for histological and gene expression analyses with respect to ED-B FN, ET-1 and transforming growth factor-beta1 (TGF-beta1) mRNA. ED-B FN protein levels were assessed by immunohistochemical analysis. Additionally, we analyzed human renal allograft biopsies. RESULTS: Our data demonstrates that rat chronic allograft nephropathy is associated with progressive upregulation of ED-B FN mRNA and protein. ET-1 and TGF-beta1 mRNA were also upregulated. Treatment of allograft recipient rats with bosentan prevented upregulation of ED-B FN and TGF-beta1. We further show that total FN, ED-B FN, ET-1 and TGF-beta1 mRNA expression were upregulated in human chronic allograft nephropathy specimens. CONCLUSION: Results obtained from both human and rat renal allograft tissues suggest that expression of ED-B FN is upregulated in chronic allograft nephropathy and such upregulation is mediated via ET-1 and its interaction with TGF-beta1.
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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".