Unknown

Dataset Information

0

Prediction of Safety Margin and Optimization of Dosing Protocol for a Novel Antibiotic using Quantitative Systems Pharmacology Modeling.


ABSTRACT: Elevations of liver enzymes have been observed in clinical trials with BAL30072, a novel antibiotic. In vitro assays have identified potential mechanisms for the observed hepatotoxicity, including electron transport chain (ETC) inhibition and reactive oxygen species (ROS) generation. DILIsym, a quantitative systems pharmacology (QSP) model of drug-induced liver injury, has been used to predict the likelihood that each mechanism explains the observed toxicity. DILIsym was also used to predict the safety margin for a novel BAL30072 dosing scheme; it was predicted to be low. DILIsym was then used to recommend potential modifications to this dosing scheme; weight-adjusted dosing and a requirement to assay plasma alanine aminotransferase (ALT) daily and stop dosing as soon as ALT increases were observed improved the predicted safety margin of BAL30072 and decreased the predicted likelihood of severe injury. This research demonstrates a potential application for QSP modeling in improving the safety profile of candidate drugs.

SUBMITTER: Woodhead JL 

PROVIDER: S-EPMC6132362 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Prediction of Safety Margin and Optimization of Dosing Protocol for a Novel Antibiotic using Quantitative Systems Pharmacology Modeling.

Woodhead Jeffrey L JL   Paech Franziska F   Maurer Martina M   Engelhardt Marc M   Schmitt-Hoffmann Anne H AH   Spickermann Jochen J   Messner Simon S   Wind Mathias M   Witschi Anne-Therese AT   Krähenbühl Stephan S   Siler Scott Q SQ   Watkins Paul B PB   Howell Brett A BA  

Clinical and translational science 20180607 5


Elevations of liver enzymes have been observed in clinical trials with BAL30072, a novel antibiotic. In vitro assays have identified potential mechanisms for the observed hepatotoxicity, including electron transport chain (ETC) inhibition and reactive oxygen species (ROS) generation. DILIsym, a quantitative systems pharmacology (QSP) model of drug-induced liver injury, has been used to predict the likelihood that each mechanism explains the observed toxicity. DILIsym was also used to predict the  ...[more]

Similar Datasets

| S-EPMC5572374 | biostudies-literature
| S-EPMC8420530 | biostudies-literature
| S-EPMC8674002 | biostudies-literature
| S-EPMC6718444 | biostudies-literature
| S-EPMC6930861 | biostudies-literature
| S-EPMC6531050 | biostudies-literature
| S-EPMC4716580 | biostudies-literature
| S-EPMC4325423 | biostudies-literature
| S-EPMC7499194 | biostudies-literature
| S-EPMC7887858 | biostudies-literature