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Updated: May 30, 2025

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Cell-based Assay Protocol for the Prognostic Prediction of Idiopathic Scoliosis Using Cellular Dielectric Spectroscopy
Published on: October 16, 2013
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IGF-1 Assessment During Weekly Somatrogon Treatment in Pediatric Patients With GH Deficiency
Satyaprakash Nayak1, Michael P Wajnrajch2,3, Joan Korth-Bradley4
1Pfizer Inc, Cambridge, MA 02139, USA.
Journal of the Endocrine Society
|January 28, 2025
Summary
Physicians can now predict mean Insulin-like Growth Factor 1 (IGF-1) levels in pediatric Growth Hormone Deficiency (GHD) patients on somatrogon treatment. This method uses a single IGF-1 measurement at any time during the weekly dosing interval for better treatment monitoring.
Area of Science:
- Endocrinology
- Pharmacokinetics
- Pediatric Growth Disorders
Background:
- Insulin-like Growth Factor 1 (IGF-1) monitoring is crucial for assessing the safety and efficacy of Growth Hormone (GH) treatment in patients with GH deficiency (GHD).
- Somatrogon, a long-acting GH therapy for pediatric GHD, requires careful IGF-1 level assessment.
- IGF-1 levels measured 96 hours postdose best represent mean somatrogon exposure.
Purpose of the Study:
- To develop a straightforward method for predicting mean IGF-1 concentrations after somatrogon administration.
- To enable prediction using a single IGF-1 measurement taken at any point within the 7-day dosing interval.
Main Methods:
- Utilized data from Phase 2 and 3 somatrogon studies.
- Developed a 2-compartment pharmacokinetic model with delayed first-order absorption.
- Applied an indirect-response pharmacokinetic/pharmacodynamic model and simulations to predict IGF-1 and IGF-1 standard deviation scores (SDS).
Main Results:
- Simulations involved 16,213 dosing records from 151 participants.
- Predicted IGF-1 and IGF-1 SDS values were scaled against 96-hour postdose measurements.
- A table was created to guide adjustments for predicting mean IGF-1 and IGF-1 SDS based on the time of measurement.
Conclusions:
- A simplified method has been developed to predict mean weekly IGF-1 values.
- This method allows for accurate prediction using IGF-1 measurements taken at any time during the dosing interval.
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