Method Profile

ABCG2-Stratified PBPK Modeling of Rosuvastatin–Ticagrelor Exposure

A whole-body PBPK workflow evaluates a transporter-mediated drug interaction across age and ABCG2 genotype strata, then compares simulated rosuvastatin exposure with a monotherapy reference.

Multiple OrgansComputational Models
The Faculty of Medical Technology building at Mahidol University’s Siriraj campus in Bangkok.
A building at Mahidol University’s Siriraj campus in Bangkok, photographed in 2024. (Reversemos.sapanaht, CC BY 4.0)

Research Applications

Research assessment of how ticagrelor-related BCRP inhibition, older age and the ABCG2 c.421C>A homozygous variant could change rosuvastatin exposure.

Model & Design

Separate rosuvastatin and ticagrelor PBPK models were developed and combined with competitive BCRP inhibition. The workflow includes genotype-specific transporter activity and an age-related 40% reduction in CYP2C9 activity for the older group.

Experimental Format

Four virtual groups of 100 people: younger and 65–85-year-old adults, each wild type or homozygous for ABCG2 c.421C>A. Simulations compare rosuvastatin alone with coadministration at full, half or quarter doses; the stated exposure-matching AUC ratio interval is 0.80–1.25.

Model Components

  • Component

    Model inputs

    Description

    Clinical concentration–time and exposure data for both drugs, available interaction data, ABCG2 genotype, age-related physiology, transporter expression and enzyme activity.

  • Component

    Software and scenarios

    Description

    PK-Sim version 12.0; observed-study characteristics were aligned with virtual populations where available. Study-specific rosuvastatin and ticagrelor regimens were simulated over two weeks.

Measurements & Endpoints

  • Predicted and observed plasma concentration–time profiles
  • Rosuvastatin AUC and Cmax, including interaction ratios
  • AUC relative to rosuvastatin monotherapy after simulated dose changes

Analysis

Assess model fit using mean relative deviation, geometric mean fold error, AUC and Cmax; compare simulated and observed drug-interaction ratios; report each age–genotype group against the 0.80–1.25 exposure-matching target.

Published Evidence

  • Study Design

    Component models compared with available clinical pharmacokinetic data; interaction model compared with observed coadministration data; separate age–genotype dose scenarios simulated afterward.

    Study Sample

    Four simulated groups of 100 virtual subjects each; older group aged 65–85 years. The relevant elderly, variant and coadministration clinical scenarios relied on a single study and did not provide an independent scenario validation.

    Comparison

    Observed versus simulated interaction exposure ratios; simulated coadministration AUC versus monotherapy AUC.

    Finding

    Interaction AUC ratio 2.25 simulated versus 2.47 observed; Cmax ratio 1.92 versus 2.58. The exposure-matching scenarios yielded AUC ratios 1.44 and 0.78 for younger wild-type and homozygous-variant groups at half dose, 1.06 for older wild-type at quarter dose, and 1.12 for older homozygous-variant at half dose.

    Interpretation & Limits
    • The 1.44 and 0.78 younger-group ratios fall outside the study’s stated 0.80–1.25 target.
    • Proposed age–genotype dose scenarios were not prospectively tested in patients.
    • Development and evaluation relied mainly on Caucasian-population data.
    • The source is a preprint, not peer-reviewed clinical dosing guidance.

Sources

  1. Nguyen HD, Pham VH, Ding J, Tarning J. PBPK Model-Based Prediction of Optimal Rosuvastatin Dosing with Concomitant Ticagrelor in Elderly Patients Considering ABCG2 Genetic Variant. medRxiv. Version 1, posted 21 October 2026. DOI: 10.64898/2026.10.16.26365646. ↗