Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Aminoglycoside nephrotoxicity: modeling, simulation, and control.

Florent Rougier1, Daniel Claude, Michel Maurin

  • 1UMR CNRS 5558-ADCAPT, Service Pharmaceutique, Hôpital Antoine Charial, Hospices Civils de Lyon, Francheville, France.

Antimicrobial Agents and Chemotherapy
|February 27, 2003
PubMed
Summary

Aminoglycoside nephrotoxicity can be predicted using a new deterministic model. Once-daily dosing and afternoon administration minimize kidney damage risk.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Retinal determination network reactivation drives chemoresistance and blocks myeloid differentiation in acute myeloid leukemia.

Cell reports·2026
Same author

CKD-M2 study: 2-year mortality prediction tool for advanced kidney disease.

BMC nephrology·2025
Same author

Protocol for muscle fiber type and cross-sectional area analysis in cryosections of whole lower mouse hindlimbs.

STAR protocols·2024
Same author

Protocol for muscle fiber type and cross-sectional area analysis in cryosections of whole lower mouse hindlimbs.

bioRxiv : the preprint server for biology·2024
Same author

DiPRO1 distinctly reprograms muscle and mesenchymal cancer cells.

EMBO molecular medicine·2024
Same author

External validation of a 2-year all-cause mortality prediction tool developed using machine learning in patients with stage 4-5 chronic kidney disease.

Journal of nephrology·2024

Area of Science:

  • Pharmacology
  • Nephrology
  • Mathematical Modeling

Background:

  • Aminoglycosides pose risks of nephrotoxicity and ototoxicity.
  • No reliable predictor of aminoglycoside-induced nephrotoxicity currently exists.

Purpose of the Study:

  • To develop and validate a deterministic model for predicting aminoglycoside nephrotoxicity.
  • To assess the impact of dosing regimens and circadian rhythms on renal function.

Main Methods:

  • A two-compartment pharmacokinetic model was developed.
  • Renal cortex accumulation, cellular effects, tubuloglomerular feedback, and serum creatinine were modeled.
  • Model parameters were estimated using NPEM and least-squares minimization.
  • A simulation program assessed dosing regimen influences and circadian rhythm effects.

Related Experiment Videos

Main Results:

  • The model accurately predicted serum creatinine concentrations in patients (r² = 0.988).
  • Thrice-daily aminoglycoside administration led to more rapid, severe, and prolonged nephrotoxicity compared to less frequent schedules.
  • Once-daily administration showed that the time of day impacts nephrotoxicity, with 1:30 p.m. being optimal.

Conclusions:

  • The developed model reliably predicts aminoglycoside nephrotoxicity.
  • Optimizing aminoglycoside dosing schedules, including timing, can mitigate renal toxicity.
  • Clinical application of this model can personalize aminoglycoside therapy for improved efficacy and safety.