» Articles » PMID: 36004727

A Multi-model Approach to Predict Efficacious Clinical Dose for an Anti-TGF-β Antibody (GC2008) in the Treatment of Osteogenesis Imperfecta

Overview
Publisher Wiley
Specialty Pharmacology
Date 2022 Aug 25
PMID 36004727
Authors
Affiliations
Soon will be listed here.
Abstract

Osteogenesis imperfecta (OI) is a heterogeneous group of inherited bone dysplasias characterized by reduced skeletal mass and bone fragility. Although the primary manifestation of the disease involves the skeleton, OI is a generalized connective tissue disorder that requires a multidisciplinary treatment approach. Recent studies indicate that application of a transforming growth factor beta (TGF-β) neutralizing antibody increased bone volume fraction (BVF) and strength in an OI mouse model and improved bone mineral density (BMD) in a small cohort of patients with OI. In this work, we have developed a multitiered quantitative pharmacology approach to predict human efficacious dose of a new anti-TGF-β antibody drug candidate (GC2008). This method aims to translate GC2008 pharmacokinetic/pharmacodynamic (PK/PD) relationship in patients, using a number of appropriate mathematical models and available preclinical and clinical data. Compartmental PK linked with an indirect PD effect model was used to characterize both pre-clinical and clinical PK/PD data and predict a GC2008 dose that would significantly increase BMD or BVF in patients with OI. Furthermore, a physiologically-based pharmacokinetic model incorporating GC2008 and the body's physiological properties was developed and used to predict a GC2008 dose that would decrease the TGF-β level in bone to that of healthy individuals. By using multiple models, we aim to reveal information for different aspects of OI disease that will ultimately lead to a more informed dose projection of GC2008 in humans. The different modeling efforts predicted a similar range of pharmacologically relevant doses in patients with OI providing an informed approach for an early clinical dose setting.

Citing Articles

Machine learning framework to predict pharmacokinetic profile of small molecule drugs based on chemical structure.

Pillai N, Abos A, Teutonico D, Mavroudis P Clin Transl Sci. 2024; 17(5):e13824.

PMID: 38752574 PMC: 11097621. DOI: 10.1111/cts.13824.


A multi-model approach to predict efficacious clinical dose for an anti-TGF-β antibody (GC2008) in the treatment of osteogenesis imperfecta.

Mavroudis P, Pillai N, Wang Q, Pouzin C, Greene B, Fretland J CPT Pharmacometrics Syst Pharmacol. 2022; 11(11):1485-1496.

PMID: 36004727 PMC: 9662198. DOI: 10.1002/psp4.12857.

References
1.
Adami S, Gatti D, Colapietro F, Fracassi E, Braga V, Rossini M . Intravenous neridronate in adults with osteogenesis imperfecta. J Bone Miner Res. 2003; 18(1):126-30. DOI: 10.1359/jbmr.2003.18.1.126. View

2.
Greene B, Russo R, Dwyer S, Malley K, Roberts E, Serrielo J . Inhibition of TGF-β Increases Bone Volume and Strength in a Mouse Model of Osteogenesis Imperfecta. JBMR Plus. 2021; 5(9):e10530. PMC: 8441395. DOI: 10.1002/jbm4.10530. View

3.
Song I, Nagamani S, Nguyen D, Grafe I, Sutton V, Gannon F . Targeting TGF-β for treatment of osteogenesis imperfecta. J Clin Invest. 2022; 132(7). PMC: 8970679. DOI: 10.1172/JCI152571. View

4.
Orwoll E, Shapiro J, Veith S, Wang Y, Lapidus J, Vanek C . Evaluation of teriparatide treatment in adults with osteogenesis imperfecta. J Clin Invest. 2014; 124(2):491-8. PMC: 3904621. DOI: 10.1172/JCI71101. View

5.
Hoyer-Kuhn H, Semler O, Stark C, Struebing N, Goebel O, Schoenau E . A specialized rehabilitation approach improves mobility in children with osteogenesis imperfecta. J Musculoskelet Neuronal Interact. 2014; 14(4):445-53. View