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  1. Article

    Open Access

    Significant impact of time-of-day variation on metformin pharmacokinetics

    The objective was to investigate if metformin pharmacokinetics is modulated by time-of-day in humans using empirical and mechanistic pharmacokinetic modelling techniques on a large clinical dataset. This study...

    Denise Türk, Nina Scherer, Dominik Selzer, Christiane Dings, Nina Hanke in Diabetologia (2023)

  2. Article

    Open Access

    A Comprehensive Whole-Body Physiologically Based Pharmacokinetic Drug–Drug–Gene Interaction Model of Metformin and Cimetidine in Healthy Adults and Renally Impaired Individuals

    Metformin is a widely prescribed antidiabetic BCS Class III drug (low permeability) that depends on active transport for its absorption and disposition. It is recommended by the US Food and Drug Administration...

    Nina Hanke, Denise Türk, Dominik Selzer, Naoki Ishiguro in Clinical Pharmacokinetics (2020)

  3. Article

    Open Access

    Effective Removal of Dabigatran by Idarucizumab or Hemodialysis: A Physiologically Based Pharmacokinetic Modeling Analysis

    Application of idarucizumab and hemodialysis are options to reverse the action of the oral anticoagulant dabigatran in emergency situations.

    Laura Maria Fuhr, Nina Hanke, Bernd Meibohm, Thorsten Lehr in Clinical Pharmacokinetics (2020)

  4. No Access

    Article

    A Comprehensive Whole-Body Physiologically Based Pharmacokinetic Model of Dabigatran Etexilate, Dabigatran and Dabigatran Glucuronide in Healthy Adults and Renally Impaired Patients

    The thrombin inhibitor dabigatran is administered as the prodrug dabigatran etexilate, which is a substrate of esterases and P-glycoprotein (P-gp). Dabigatran is eliminated via renal excretion but is also a su...

    Daniel Moj, Hugo Maas, André Schaeftlein, Nina Hanke in Clinical Pharmacokinetics (2019)

  5. Article

    Open Access

    Physiologically Based Pharmacokinetic Models for Prediction of Complex CYP2C8 and OATP1B1 (SLCO1B1) Drug–Drug–Gene Interactions: A Modeling Network of Gemfibrozil, Repaglinide, Pioglitazone, Rifampicin, Clarithromycin and Itraconazole

    Drug–drug interactions (DDIs) and drug–gene interactions (DGIs) pose a serious health risk that can be avoided by dose adaptation. These interactions are investigated in strictly controlled setups, quantifying...

    Denise Türk, Nina Hanke, Sarah Wolf, Sebastian Frechen in Clinical Pharmacokinetics (2019)