DILIsym is Quantitative Systems Toxicology (QST) software designed to be used during drug development to provide an indication of the potential drug-induced liver injury (DILI) hazard posed by individual molecules and/or to provide deeper insight into the mechanisms responsible for observed DILI responses at various stages of the development process.
DILIsym simulations integrate compound exposure with compound mediated mechanisms of intrinsic drug toxicity, and with inter-individual variability. The intersection of these is prediction of hepatotoxicity for:
- Phase II, III, or IV clinical trials in patients
- First-in-human clinical trials in healthy volunteers
- Small preclinical species
- Large preclinical species
DILIsym is a “middle-out”, multi‑scale representation of drug-induced liver injury. It includes key liver cell populations (e.g., hepatocytes, Kupffer cells), intracellular biochemical systems (e.g., mitochondrial function), and whole body dynamics (e.g., drug distribution and metabolism). DILIsym represents these biochemical and physiological processes for mice, rats, dogs, and humans, based on a substantial amount of publicly-available literature. Through the generation of SimPops™ (a collection of simulated patients forming a simulated population), DILIsym also includes inter‑individual variability.
DILIsym includes a graphical user interface (GUI) to facilitate in silico investigations. The GUI permits the specification of new simulated experiments, including compound, dose, dosing frequency, duration, mechanism(s), and species. Simulations can be performed on individuals or populations. Simulation results can be visualized within the GUI or exported for further analysis in other software.
DILIsym prospectively supports key management decisions by providing information about potential drug-induced liver injury risk in upcoming experimental or clinical study designs, as well as mechanistic rationale for the underlying biochemical events that could cause liver toxicity. DILIsym also supports key management decisions about compounds for which liver transaminase elevations have already been observed by identifying patient screening or dosing protocols to mitigate risk. Additionally, DILIsym can mechanistically interpret existing data on liver transaminase elevations to predict the underlying level of hepatocyte loss and rate of liver recovery, supporting the distinction of innocuous vs. dangerous liver signals.
The current version of the modeling software is DILIsym v7A, which was made available to all DILI-sim Initiative industry members as of January 2018. DILIsym v7A is also available to academic licensees.
DILIsym has been developed within a conceptual framework (Figure 1), wherein liver compound exposure (parent and/or metabolite) can engage various mechanisms of intrinsic toxicity. The mechanisms currently included are: (1) inhibition of bile acid transporters leading to disruptions in bile acid homeostasis, (2) alteration of mitochondrial function, and (3) generation of oxidative stress. Alone or in combination, these mechanisms can lead to hepatocyte cell death via apoptosis or necrosis. Hepatocyte necrosis releases damage associated molecular pattern (DAMP) molecules, capable of activating innate immune cells (e.g., resident Kupffer cells). Activated immune cells produce mediators that may serve to amplify the ongoing injury and/or may promote liver regeneration. Immune cells may also accumulate due to ongoing inflammatory processes. Importantly, while the various elements described thus far can be sufficient to drive liver injury, they may also provide the setting in which an adaptive immune response can develop. Adaptive immune responses are not currently included in DILIsym but are part of ongoing development to be included in future versions of the modeling software.
Figure 1. Conceptual framework for DILIsym development.
DILIsym includes multiple sub-models which are solved in an integrated fashion to generate simulation results. Sub-models delineate compound absorption, distribution, metabolism, excretion (ADME) in a PBPK sub-model, various intracellular biochemical systems that may be impacted by compound exposure (e.g., bile acid homeostasis, mitochondrial function, oxidative stress), the hepatocyte life cycle, and stimulation of innate immune responses. To facilitate comparison with high-level clinical and preclinical readouts, DILIsym includes the release of biomarkers (e.g., ALT, AST) from hepatocytes in the event of cell death, as well as increases in total bilirubin, reflecting compromised liver function due to hepatocyte loss. DILIsym also includes emerging biomarkers (e.g., miR-122, CK-18) that may provide additional dynamic and/or mechanistic information. More detailed descriptions of the sub-models are provided in the links below. Specific data used in design and development are available to licensees through the DILIsym modeling software documentation.
Finally, DILIsym includes SimPops, comprising simulated individuals expressing variability in key parameters related to susceptibility to various mechanisms of toxicity. SimPops permit the researcher to consider the effect of inter-individual variability on drug toxicity. While not a sub-model per se, additional information is similarly provided for SimPops.
Learn more about the submodels within DILIsym:
DILIsym development is supported by a pre-competitive consortium, the DILI-sim Initiative, that includes DILIsym Services and multiple pharmaceutical companies. Member companies have a seat at the table in directing development efforts. The DILIsym development team receives regular feedback from member companies and from the Scientific Advisory Board, which includes key opinion leaders within the field of drug-induced liver injury.