Effect of Cisplatin on Proximal Straight Tubule Transport of Divalent Cations in the Rabbit
Bibliographic record
Abstract
Clearance and in vitro microperfusion studies were performed in rabbits to determine the effect of cisplatin on proximal straight tubule transport of calcium and magnesium. Rabbits were injected with cisplatin (2.5 mg/kg i.p. once weekly) for 3 weeks, whereas control rabbits received normal saline solution which served as a diluent for cisplatin. In 5 rabbits, 24-hour clearance studies were performed with the aid of a metabolic cage. Following cisplatin treatment, fractional excretion of magnesium rose significantly (73.3 +/- 11.5 vs. 111.4 +/- 17.5%). Glomerular filtration rate fell with cisplatin treatment (4.05 +/- 0.76 vs. 2.81 +/- 28 ml/min). There was no difference in fractional excretion of calcium (26.3 +/- 9.5 vs. 22.7 +/- 3.2%). The cortical and juxtamedullary proximal straight tubules were perfused in vitro. Net volume absorption was the same in the control and cisplatin-treated rabbits. However, there was a significant reduction in JCa (cortical 0.57 +/- 0.10 vs. -0.10 +/- 0.12 pmol/min/mm; juxtamedullary 0.96 +/- 0.17 vs. 0.31 +/- 0.37 pmol/min/mm) and JMg (cortical 0.43 +/- 0.08 vs. -0.15 +/- 0.07 pmol/min/mm; juxtamedullary 0.40 +/- 0.27 vs. -0.30 +/- 0.28 pmol/min/mm). In contrast to chronic administration, acute addition of cisplatin into the bath had no effect on JCa and JMg in the cortical and juxtamedullary proximal straight tubules. These data indicate that chronic but not acute cisplatin treatment depresses the transport of calcium and magnesium in the cortical and juxtamedullary nephrons of the proximal straight tubule of the rabbit.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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".