Morphologic Aspects of Chronic Peritoneal Dialysis in a Rat Model
Bibliographic record
Abstract
OBJECTIVE: We previously put forward an experimental model for evaluating peritoneal function in chronically dialyzed rats. In the present paper, we show the morphologic alterations detected by electron microscopy in the peritonea of chronically dialyzed rats. MATERIALS AND METHODS: The study was done in male Wistar rats. Animals were divided into two groups: control (non dialyzed) rats and dialyzed rats [intraperitoneally exposed to Dianeal 3.86% (Baxter Healthcare Corporation, Deerfield, IL, U.S.A.) for 1 month]. At the end of the study, the rats were humanely killed by bleeding, and samples of the visceral peritoneum covering the liver were taken from 3 rats in each group. The samples were examined by transmission electron microscopy (TEM). RESULTS: In control rats, the peritoneum was composed of flattened mesothelial cells covering the thin layer of the submesothelial connective tissue (ST), containing few fibroblasts. In dialyzed animals, a dramatic expansion of the ST was found. We saw compartmentalization of the ST, with changed morphology of the fibroblasts, altered organization of collagen fibers, and changes in the cells infiltrating the ST. Apart from the fibroblasts, mast cells were relatively numerous. CONCLUSIONS: Our work underlines the capabilities of morphology studies in an animal model for assessing peritoneal dialysis fluid biocompatibility.
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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) | 0.002 | 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".