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Ustekinumab conditional exposure and PASI turnover

Two-compartment antibody PK and indirect PASI production inhibition under fixed published conditional-mean coefficients and specified SC calendars.

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MODEL IN MOTION 18 sec

How do two fixed parameter sets change ustekinumab exposure and PASI?

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Published parameter set 1 — exploratory 90 mg calendar

Deterministic fixed-parameter exploration with explicitly authored administrations and initial conditions.

0–616 day

Published parameter set 1 — exploratory 90 mg calendar

Deterministic fixed-parameter exploration with explicitly authored administrations and initial conditions.

Readouts

Central concentration · mg/L
Conditional model quantity; exposure and elimination integrals are added nonfeedback accounting readouts.
PASI score · dimensionless
PASI score over the selected simulation window.
PASI reduction fraction · dimensionless
PASI reduction fraction over the selected simulation window.
Mean central concentration · mg/L
Nonfeedback clock or exposure readout.
Accounted amount · mg
Conditional model quantity; exposure and elimination integrals are added nonfeedback accounting readouts.

Study purpose

  • How do the model's key biological readouts change under published parameter set 1 — exploratory 90 mg calendar?

Assumptions

  • Published individual conditional means define frozen parameter-set explorations; trajectories evaluated at these means generally differ from posterior-mean responses.
  • PK amounts start drug-free and PASI starts at the published predicted baseline. kin=kout times baseline is a declared drug-free-equilibrium closure.
  • The authored calendar uses90mg SC on days0,28,112 then every56days through560, with a predose endpoint at616days. Original individual treatment histories are unavailable.
  • Published means already reflect their covariates; no additional body-weight scaling is applied.
  • F is converted from percent to fraction once, with administered depot and complementary non-systemic loss explicitly distinguished.
  • Parameter editing is held within each context because baseline changes require matching PASI initialization.
  • No posterior clone generation, response probability, successful personalized regimen, original patient-trajectory or clinical dosing claim is made.

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Simulation time
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day
616 → 168

Time between reported samples.

day

1 change · Variation 1

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Biology

Follow antibody absorption, distribution, loss and PASI turnover under fixed published coefficient sets and specified SC histories.

Follow antibody absorption, distribution, loss and PASI turnover under fixed published coefficient sets and specified SC histories.

Model details

10 parameters · 8 states · 8 equations · 25 derived outputs

Classification & API access
Therapeutic
Ustekinumab
Modality
Monoclonal antibody
Target
IL-12 / IL-23 p40
Disease / scope
Psoriasis
ParameterDefaultUnitDescription
Baseline PASIbaseline_pasi13.722—Published conditional-mean parameter set1; scenario-specific frozen values replace these defaults.
Bioavailabilitybioavailability0.93—Published conditional-mean parameter set1; scenario-specific frozen values replace these defaults.
Systemic clearancecl_l_day0.2L/dayPublished conditional-mean parameter set1; scenario-specific frozen values replace these defaults.
Half-maximal inhibitory concentrationic50_mg_l0.07mg/LReported fixed IC50 from Table2, shared across the conditional-mean projections.
Maximum inhibitory effectimax0.968—Published conditional-mean parameter set1; scenario-specific frozen values replace these defaults.
Absorption rate constantka_per_day0.41/dayPublished conditional-mean parameter set1; scenario-specific frozen values replace these defaults.
Turnover loss ratekout_per_day0.0191/dayPublished conditional-mean parameter set1; scenario-specific frozen values replace these defaults.
Intercompartmental clearanceq_l_day0.2L/dayPublished conditional-mean parameter set1; scenario-specific frozen values replace these defaults.
Central distribution volumevc_l3.52LPublished conditional-mean parameter set1; scenario-specific frozen values replace these defaults.
Peripheral distribution volumevp_l2.1LPublished conditional-mean parameter set1; scenario-specific frozen values replace these defaults.

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