Prevention of ifosfamide nephrotoxicity by N-acetylcysteine: clinical pharmacokinetic considerations.
Bibliographic record
Abstract
BACKGROUND: Ifosfamide, which is routinely given to treat a variety of solid tumours in children, causes serious nephrotoxicity in treated children. Previous in vitro studies have shown that depletion of intracellular glutathione can enhance ifosfamide nephrotoxicity. Presently, there is no therapeutic agent that can prevent ifosfamide nephrotoxicity. We have recently shown that N-acetylcysteine (NAC) at 0.4 mM prevents ifosfamide-induced nephrotoxicity in vitro. However, this in vitro concentration of NAC needed to be compared to those used in human pharmacokinetic studies since the in vitro pharmacological effect of a compound is achieved at concentrations exceeding those used in clinical. OBJECTIVE: The aim of the present study was to verify whether the in vitro concentration of NAC, which was found to protect renal cells from ifosfamide-induced damages, is comparable to the currently used clinical concentrations. METHODS: A systematic literature review of all published papers reporting on the pharmacokinetics of NAC in humans was conducted. RESULTS: The steady state concentrations of NAC administered intravenously to humans ranged from 0.04 mM to 0.9 mM and the urine concentration of NAC was 2 mM. CONCLUSION: This suggests that the concentration chosen for in vitro studies is well within the range of clinical levels.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".