Model-Informed Dose Optimization of Spironolactone in Neonates and Infants

<b>Background/Objectives</b>: Spironolactone (SP) has been used off-label in pediatrics since its approval, but its use is challenged by limited pharmacokinetic (PK) data in adults and especially in children. <b>Methods</b>: Physiologically based pharmacokinetic (PBPK) models for SP and its active metabolites, canrenone (CAN) and 7α thio-methyl spironolactone (TMS), in adults were developed. These models aim to enhance understanding of SP's PK and provide a basis for predicting PK and optimizing SP dosing in infants and neonates. Given SP's complex metabolism, we assumed complete conversion to CAN and TMS by CES1 enzymes, fitting CES1-mediated metabolism to the parent-metabolite model using PK data. We incorporated ontogeny for CES1 and CYP3A4 and other age-related physiological changes into the model to anticipate PK in the pediatric population. <b>Results</b>: The PBPK models for SP, CAN, and TMS accurately captured the observed PK data in healthy adults across various dosing regimens, including the impact of food on drug exposure. The pediatric PBPK model was evaluated using PK data from infants and neonates. Simulations indicate that 2.5 mg/kg in 6-month to 2-year infants and 2 mg/kg in 1-6-months infants matched the total unbound systemic exposure equivalent to the standard recommended daily maintenance dose of 100 mg in adults for treating edema. <b>Conclusions</b>: The developed PBPK model provides valuable insights for dosing decisions and optimizing therapeutic outcomes, especially in populations where clinical studies are challenging.

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Publication Details

Journal
Pharmaceuticals
Published
2025-03-01
DOI
https://doi.org/10.3390/ph18030355
Citations
1
Primary Topic
Pharmaceutical studies and practices
Type
article
Field-Weighted Citation Impact
3.49
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article

Model-Informed Dose Optimization of Spironolactone in Neonates and Infants

Valvanera Vozmediano, Leandro Francisco Pippa, Amira Soliman, Jana Lass et al.
1 citations
Pharmaceuticals
Pharmaceutical studies and practices
3.49
article

Model-Informed Dose Optimization of Spironolactone in Neonates and Infants

Valvanera Vozmediano, Leandro Francisco Pippa, Amira Soliman, Jana Lass, Natália Valadares de Moraes, Stéphanie Leroux
article en
1 citations

Abstract

<b>Background/Objectives</b>: Spironolactone (SP) has been used off-label in pediatrics since its approval, but its use is challenged by limited pharmacokinetic (PK) data in adults and especially in children. <b>Methods</b>: Physiologically based pharmacokinetic (PBPK) models for SP and its active metabolites, canrenone (CAN) and 7α thio-methyl spironolactone (TMS), in adults were developed. These models aim to enhance understanding of SP's PK and provide a basis for predicting PK and optimizing SP dosing in infants and neonates. Given SP's complex metabolism, we assumed complete conversion to CAN and TMS by CES1 enzymes, fitting CES1-mediated metabolism to the parent-metabolite model using PK data. We incorporated ontogeny for CES1 and CYP3A4 and other age-related physiological changes into the model to anticipate PK in the pediatric population. <b>Results</b>: The PBPK models for SP, CAN, and TMS accurately captured the observed PK data in healthy adults across various dosing regimens, including the impact of food on drug exposure. The pediatric PBPK model was evaluated using PK data from infants and neonates. Simulations indicate that 2.5 mg/kg in 6-month to 2-year infants and 2 mg/kg in 1-6-months infants matched the total unbound systemic exposure equivalent to the standard recommended daily maintenance dose of 100 mg in adults for treating edema. <b>Conclusions</b>: The developed PBPK model provides valuable insights for dosing decisions and optimizing therapeutic outcomes, especially in populations where clinical studies are challenging.

PharmaceuticalsVol. 18(3)
Inserm (FR), École des Hautes Études en Santé Publique (FR), Tartu University Hospital (EE), University of Florida (US), CDI Laboratories (United States) (PR), Institut de Recherche en Santé, Environnement et Travail (FR), Centre Hospitalier Universitaire de Rennes (FR), University of Tartu (EE), Helwan University (EG)
Zero hunger
Openalex Percentile: Top 12%
Pharmaceutical studies and practices
3.49
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