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Published on: November 8, 2015
Characterizing the Developmental Trajectory of Sirolimus Clearance in Neonates and Infants
C Emoto1,2, T Fukuda1,2, T Mizuno1
1Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Insights
This study reveals how sirolimus clearance (CL) rapidly increases in infants, linked to developing CYP3A metabolic activity. This developmental change is crucial for understanding pediatric drug dosing.
Area of Science:
- Pharmacology
- Pediatric Medicine
- Drug Metabolism
Background:
- Sirolimus use is growing in neonates and infants.
- The reasons for age-related differences in sirolimus processing are not fully understood.
Purpose of the Study:
- To analyze age-dependent changes in sirolimus clearance (CL) in pediatric patients.
- To investigate sirolimus metabolite formation to understand CYP3A activity changes.
Main Methods:
- Population modeling analysis of serial sirolimus CL estimates in pediatric patients.
- Measurement of sirolimus metabolite formation to assess CYP3A activity.
Main Results:
- Sirolimus CL significantly increased with age in pediatric patients, described by a sigmoidal Emax model.
- This age-dependent increase in CL was observed consistently within individuals over time.
- CYP3A-dependent sirolimus metabolite formation mirrored the CL increase, indicating rising metabolic activity.
Conclusions:
- Sirolimus clearance rapidly increases during infancy, reflecting developmental changes in drug metabolism.
- The observed developmental pattern is attributed to a parallel rise in CYP3A metabolic activity.
Abstract:
Sirolimus is increasingly being used in neonates and infants, but the mechanistic basis of age-dependent changes in sirolimus disposition has not been fully addressed yet. In order to characterize the age-dependent changes, serial sirolimus clearance (CL) estimates in individual young pediatric patients were collected and analyzed by population modeling analysis. In addition, sirolimus metabolite formation was also investigated to further substantiate the corresponding age-dependent change in CYP3A activity. The increasing pattern over time of allometrically size-normalized sirolimus CL estimates vs. age was well described by a sigmoidal Emax model. This age-dependent increase was also observed within each individual patient over a 4-year study period. CYP3A-dependent sirolimus metabolite formation changed in a similar fashion. This study clearly demonstrates the rapid increase of sirolimus CL over time in neonates and infants, indicating the developmental change. This developmental pattern can be explained by a parallel increase in CYP3A metabolic activity.
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