Quantitative Systems Toxicology (QST) Modeling Using BIOLOGXsym and Mechanistic Toxicity Data From a Biomimetic Liver Microphysiology System Predicts Biologics-induced Liver Injury

Authors: Beaudoin J, Clemens L, Vernetti L, Taylor DL, Huizar F, C Vallejo, Sandefur CI, Kelley M, Lakhani VV, Battista C, Siler SQ, Shoda LKM, Howell BA, Yang K
Conference: ASCPT
Keywords: Biologics-induced Liver Injury (BILI), BIOLOGXsym, drug toxicity, quantitative systems pharmacology modeling
Software: BIOLOGXsym
Division: Quantitative Systems Pharmacology (QSP)

Background

While biologics offer promise in addressing a range of unmet medical needs, clinically observed BILI events are concerning for drug developers, health care providers and patients. QST modeling, combined with in vitro data, can improve understanding of BILI mechanisms and help predict hepatotoxicity in humans.

By James Beaudoin, Lara Clemens, Lawrence A. Vernetti, Mark T. Miedel, Michael W. Castiglione, D. Lansing Taylor#, Francisco Huizar, Celeste Vallejo, Conner I. Sandefur, Michael Kelley, Vinal V. Lakhani, Christina Battista, Scott Q. Siler,  Lisl K.M. Shoda, Brett A. Howell, Kyunghee Yang

ASCPT 2025 Annual Meeting, May 28- 31, 2025, Washington, D.C.