Source of a micro-nutrient in a semi-synthetic basal diet as a causative factor in inducing urinary calculi in rats and its inhibition by PSC 833, a potent inhibitor of P-glycoprotein.
Bibliographic record
Abstract
We report a serendipitous finding of urinary calculi in rats fed a semi-synthetic basal diet. This observation was made during ongoing studies to evaluate the inhibitory effect of PSC 833, a potent inhibitor of P-glycoprotein, on development of tumors in rodent tumor model systems. A large number of specific-pathogen-free (SPF) female Sprague-Dawley and SPF male Fischer 344 rats being fed the diet were euthanized when it became evident clinically that they were uremic. At necropsy, the renal pelvis, ureters, and urinary bladder contained numerous calculi. The presence of urinary calculi was determined to be related to the source of a Food Chemical Codex grade of choline bitartrate. Rats being fed the same basal diet containing the United States Pharmacopia grade of choline bitartrate failed to develop urinary calculi. Interestingly, rats treated with the P-glycoprotein inhibitor were at significantly reduced risk of developing urinary calculi. This finding highlights how something seemingly innocuous as a minor dietary constituent can have a profound impact and, thereby, affect experimental outcome.
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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 | 0.001 | 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 | 0.001 |
| 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".