Peritoneal morphological and functional changes associated with platelet-derived growth factor B
Bibliographic record
Abstract
BACKGROUND: Morphological changes associated with long-term peritoneal dialysis (PD) include increased vascular surface area due to angiogenesis, submesothelial fibrosis and epithelial mesenchymal transition. Platelet-derived growth factor (PDGF) has been associated with all of these phenomena, and is a prototypical 'response to injury' growth factor. METHODS: Rats received an intraperitoneal injection of adenoviral vector expressing PDGF-B. At sacrifice, we analysed the structure and function of the peritoneal membrane. Gene expression in the peritoneal tissue was assessed for changes suggestive of epithelial mesenchymal transition. RESULTS: Over-expression of PDGF in the rat peritoneum led to significant angiogenesis, cellular proliferation and submesothelial thickening. Although PDGF induced expression of transforming growth factor beta, there was a lack of activation of this growth factor, and we believe that this explains the lack of significant collagen accumulation observed by a hydroxyproline assay. Despite evidence of angiogenesis and subsequent increased solute transport, we observed only a transient, non-significant impact on ultrafiltration function. This suggests that increased vascular surface area is necessary, but not sufficient, to produce ultrafiltration dysfunction. There was no evidence of epithelial mesenchymal transition observed either in regulation of associated genes such as Snail or E-Cadherin or in the lack of dual-labelled epithelial and mesenchymal cells on immunofluorescence. Mesothelial cells exposed to PDGF-B demonstrated increased collagen gene expression. CONCLUSIONS: PDGF-B induced angiogenesis without fibrosis in the peritoneum. The lack of significant ultrafiltration dysfunction and epithelial mesenchymal transition, as observed in patients on PD, suggests that PDGF-B may play a role, but is not the integral component, in response to peritoneal injury.
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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 | 0.000 |
| 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".