modelM05BX04

Diagram of M05BX04

Extends from Pharmacokinetic.Models.PK_2C.

Information

name:Denosumab
ATC code:M05BX04
route:subcutaneous
compartments:2
dosage:60mg
volume of distribution:2.5L
clearance:0.008L/h
other parameters in model implementation

Denosumab is a fully human monoclonal antibody that inhibits RANK ligand (RANKL), a key mediator of osteoclast formation, function, and survival, thus reducing bone resorption and increasing bone mass. It is approved for the treatment of osteoporosis in postmenopausal women and men at increased risk of fractures, as well as for bone loss associated with certain cancers and for prevention of skeletal-related events in patients with bone metastases.

Pharmacokinetics

Pharmacokinetic parameters reported for adults (including postmenopausal women with osteoporosis) after subcutaneous administration of denosumab 60 mg.

References

  1. Zhang, S, et al., & Jiang, Z (2024). Efficacy, Safety, and Population Pharmacokinetics of MW032 Compared With Denosumab for Solid Tumor-Related Bone Metastases: A Randomized, Double-Blind, Phase 3 Equivalence Trial. JAMA oncology 10(4) 448–455. DOI:10.1001/jamaoncol.2023.6520 PUBMED:https://pubmed.ncbi.nlm.nih.gov/38329745

  2. Vogg, B, et al., & Sekhar, S (2024). Pharmacokinetics and pharmacodynamics of the proposed biosimilar denosumab GP2411 and reference denosumab in healthy males. Expert opinion on biological therapy 24(1-2) 91–100. DOI:10.1080/14712598.2024.2308645 PUBMED:https://pubmed.ncbi.nlm.nih.gov/38269652

  3. Gibiansky, L, et al., & Pérez-Ruixo, JJ (2012). Population pharmacokinetic analysis of denosumab in patients with bone metastases from solid tumours. Clinical pharmacokinetics 51(4) 247–260. DOI:10.2165/11598090-000000000-00000 PUBMED:https://pubmed.ncbi.nlm.nih.gov/22420579

Parameters

TypeNameDefaultDescription
Modelica.Units.SI.Massweight (from PK_1C)75patient weight (kg)
Modelica.Units.SI.SpecificVolumeVdPerKg (from PK_1C)0.9Volume of distribution (L/kg)
Modelica.Units.SI.MassFractionF (from PK_1C)0.8bioavailiability (0-1)
Pharmacolibrary.Types.ClearanceCl (from PK_1C)20clearance
Modelica.Units.SI.TimeadminTime (from PK_1C)60first administration time (s)
Modelica.Units.SI.TimeadminDuration (from PK_1C)600administration duration (s)
Modelica.Units.SI.TimeadminPeriod (from PK_1C)8*60*60period of administration (default 8 hours)(s)
Pharmacolibrary.Types.MassadminMass (from PK_1C)1000administration mass (mg)
IntegeradminCount (from PK_1C)8number of dose administered (1)
Pharmacolibrary.Types.VolumeVd (from PK_1C)VdPerKg*weightVolume of distribution (m3)
Pharmacolibrary.Types.MassConcentrationCmin (from PK_1C)0.004minimal therapeutic range
Pharmacolibrary.Types.MassConcentrationCmax (from PK_1C)0.008minimal therapeutic range
Pharmacolibrary.Types.MassConcentrationCtox_peak (from PK_1C)0.012toxicity peak level
Pharmacolibrary.Types.MassConcentrationCtox_trough (from PK_1C)0.006toxicity trough level
Pharmacolibrary.Types.VolumeVdp (from PK_2C)VdpPerKg*weightVolume of distribution (m3)
Modelica.Units.SI.SpecificVolumeVdpPerKg (from PK_2C)0.9Volume of distribution peripheral(l/kg)
Pharmacolibrary.Types.Clearancek12 (from PK_2C)1intercompartmental C-P clearance
Pharmacolibrary.Types.Clearancek21 (from PK_2C)1intercompartmental P-C clearance

Connectors

TypeNameDefaultDescription
Types.ConcentrationOutputC_central (from PK_1C)
Interfaces.ConcentrationPort_bcentralCPort (from PK_1C)
Interfaces.ConcentrationPort_bperipheralCPort (from PK_2C)
Pharmacolibrary.Types.ConcentrationOutputC_peripheral1 (from PK_2C)

Components

TypeNameDefaultDescription
Pharmacokinetic.NoPerfusedTissueCompartmentcentral (from PK_1C)
Pharmacokinetic.ClearanceDrivenEliminationelim (from PK_1C)
Sources.PeriodicDoseperiodicDose (from PK_1C)
Modelica.Units.SI.Timet1_2 (from PK_1C)elimination half-life
Pharmacolibrary.Pharmacokinetic.TransferFirstOrderNonSymtransfer (from PK_2C)
Pharmacolibrary.Pharmacokinetic.NoPerfusedTissueCompartmentperipheral (from PK_2C)

Revisions

  • 06/2025 Tomas Kulhanek, generated model from data extracted from PUBMED, DrugBank and LLM(GPT4.1)