Investigation of Monoclonal Antibody Pharmacokinetics in Pediatric Population and Characterization Using a Platform PBPK Model

This study aimed to investigate the impact of age on pediatric PK of mAbs and develop a platform PBPK model to support optimal dosing of mAbs in pediatric patients. After extensive literature review 49 mAbs were identified as approved for pediatric use, but only 17 had adequate PK data to support the investigation. It was found that pediatric patients exhibit 20-40% lower initial concentration (i.e. C<sub>0</sub>) compared to adults following the same body weight normalized dose. For mAbs demonstrating linear PK, a similar rate of bodyweight normalized clearance was observed between adult and pediatric patients aged 2 years and above, while a faster clearance per kg bodyweight (up to 45% higher) was seen for infants and neonates. The majority of mAbs that demonstrate nonlinear PK were found to have faster bodyweight normalized clearance (up to 350% higher) in pediatric patients. A platform PBPK model was developed to characterize the PK of mAbs in pediatric patients across all age groups. The model was able to adequately (%PE < 35) characterize plasma PK of 11 mAbs with linear PK in pediatric patients aged 0.13 to 17 years following intravenous or subcutaneous administration. The developed model was able to apriori predict antibody PK reasonably well (%PE < 35). The PBPK model was integrated into an interactive web-based R Shiny application ( http://40.67.147.7/ ). The app allows individuals with minimal pharmacometrics expertise to simulate the PK of mAbs in pediatric patients and personalize the dosing of mAbs in patients with sparse PK data from therapeutic drug monitoring.

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Publication Details

Journal
The AAPS Journal
Published
2026-01-05
DOI
https://doi.org/10.1208/s12248-025-01179-7
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Investigation of Monoclonal Antibody Pharmacokinetics in Pediatric Population and Characterization Using a Platform PBPK Model

Mokshada Kumar, Dhaval Shah, Sravani Lanke
The AAPS Journal
Monoclonal and Polyclonal Antibodies Research
article

Investigation of Monoclonal Antibody Pharmacokinetics in Pediatric Population and Characterization Using a Platform PBPK Model

Mokshada Kumar, Dhaval Shah, Sravani Lanke
article en

Abstract

This study aimed to investigate the impact of age on pediatric PK of mAbs and develop a platform PBPK model to support optimal dosing of mAbs in pediatric patients. After extensive literature review 49 mAbs were identified as approved for pediatric use, but only 17 had adequate PK data to support the investigation. It was found that pediatric patients exhibit 20-40% lower initial concentration (i.e. C<sub>0</sub>) compared to adults following the same body weight normalized dose. For mAbs demonstrating linear PK, a similar rate of bodyweight normalized clearance was observed between adult and pediatric patients aged 2 years and above, while a faster clearance per kg bodyweight (up to 45% higher) was seen for infants and neonates. The majority of mAbs that demonstrate nonlinear PK were found to have faster bodyweight normalized clearance (up to 350% higher) in pediatric patients. A platform PBPK model was developed to characterize the PK of mAbs in pediatric patients across all age groups. The model was able to adequately (%PE < 35) characterize plasma PK of 11 mAbs with linear PK in pediatric patients aged 0.13 to 17 years following intravenous or subcutaneous administration. The developed model was able to apriori predict antibody PK reasonably well (%PE < 35). The PBPK model was integrated into an interactive web-based R Shiny application ( http://40.67.147.7/ ). The app allows individuals with minimal pharmacometrics expertise to simulate the PK of mAbs in pediatric patients and personalize the dosing of mAbs in patients with sparse PK data from therapeutic drug monitoring.

The AAPS JournalVol. 28(1)
University at Buffalo, State University of New York (US)
National Cancer Institute, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases
Openalex Percentile: Top 97%
Monoclonal and Polyclonal Antibodies Research
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