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Updated: Jul 21, 2025

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro
Published on: January 31, 2022
Quantitative Systems Toxicology Identifies Independent Mechanisms for Hepatotoxicity and Bilirubin Elevations Due to
Christina Battista1, Lisl K M Shoda1, Paul B Watkins2
1DILIsym Services division, Simulations Plus, Inc., Durham, North Carolina, USA.
Abstract:
BAY1128688 is a selective inhibitor of AKR1C3, investigated recently in a trial that was prematurely terminated due to drug-induced liver injury. These unexpected observations prompted use of the quantitative systems toxicology model, DILIsym, to determine possible mechanisms of hepatotoxicity. Using mechanistic in vitro toxicity data as well as clinical exposure data, DILIsym predicted the potential for BAY1128688 to cause liver toxicity (elevations in serum alanine aminotransferase (ALT)) and elevations in serum bilirubin. Initial simulations overpredicted hepatotoxicity and bilirubin elevations, so the BAY1128688 representation within DILIsym underwent optimization. The liver partition coefficient Kp was altered to align simulated bilirubin elevations with those observed clinically. Altering the mode of bile acid canalicular and basolateral efflux inhibition was necessary to accurately predict ALT elevations. Optimization results support that bilirubin elevations observed early during treatment are due to altered bilirubin metabolism and transporter inhibition, which is independent of liver injury. The modeling further supports that on-treatment ALT elevations result from inhibition of bile acid transporters, particularly the bile salt excretory pump, leading to accumulation of toxic bile acids. The predicted dose-dependent intrinsic hepatotoxicity may increase patient susceptibility to an adaptive immune response, accounting for ALT elevations observed after completion of treatment. These BAY1128688 simulations provide insight into the mechanisms behind hepatotoxicity and bilirubin elevations and may inform the potential risk posed by future compounds.
Insights
BAY1128688, an AKR1C3 inhibitor, caused liver injury. Quantitative systems toxicology modeling revealed that bilirubin elevations stem from altered metabolism and transporter inhibition, while ALT elevations result from bile acid transporter inhibition.
Area of Science:
- Pharmacology and Toxicology
- Computational Biology
- Drug Development
Background:
- BAY1128688, a selective AKR1C3 inhibitor, was investigated in a clinical trial.
- The trial was prematurely terminated due to observed drug-induced liver injury (DILI).
- Understanding the mechanisms of hepatotoxicity is crucial for future drug development.
Purpose of the Study:
- To elucidate the mechanisms of BAY1128688-induced hepatotoxicity and hyperbilirubinemia.
- To utilize the quantitative systems toxicology (QST) model, DILIsym, for mechanistic prediction.
- To optimize the model representation of BAY1128688 for accurate simulation of clinical observations.
Main Methods:
- Mechanistic in vitro toxicity data and clinical exposure data were integrated into DILIsym.
- The DILIsym model for BAY1128688 was optimized by adjusting parameters like liver partition coefficient (Kp).
- Simulations were performed to predict serum alanine aminotransferase (ALT) and bilirubin elevations.
Main Results:
- Initial simulations overpredicted hepatotoxicity and bilirubin elevations.
- Optimization of Kp aligned simulated bilirubin elevations with clinical data.
- Adjusting bile acid efflux inhibition accurately predicted ALT elevations.
- Early bilirubin elevations are linked to altered metabolism and transporter inhibition, independent of liver injury.
- On-treatment ALT elevations are attributed to bile acid transporter inhibition, leading to toxic bile acid accumulation.
- Predicted dose-dependent hepatotoxicity may contribute to immune-mediated ALT elevations post-treatment.
Conclusions:
- DILIsym simulations provide mechanistic insights into BAY1128688-induced hepatotoxicity and hyperbilirubinemia.
- Bilirubin elevations are primarily due to altered metabolism and transporter inhibition.
- ALT elevations are driven by bile acid transporter inhibition and potential immune responses.
- These findings can inform risk assessment for future AKR1C3 inhibitors and other compounds.
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