bioRxivPharmacology & Toxicology
Systematic analysis of protein targets associated with adverse events of drugs from clinical trials and post-marketing reports
I. A. Smit, A. M. Afzal, C. H. G. Allen, F. Svensson, T. Hanser, A. Bender
Abstract
Adverse drug reactions (ADRs) are undesired effects of medicines that can harm patients and are a significant source of attrition in drug development. ADRs are anticipated by routinely screening drugs against secondary pharmacology protein panels. However, there is still a lack of quantitative information on the links between these off-target proteins and the risk of ADRs in humans. Here, we present a systematic analysis of associations between measured and predicted in vitro bioactivities of drugs, and adverse events (AEs) in humans from two sources of data: the Side Effect Resource (SIDER), derived from clinical trials, and the Food and Drug Administration Adverse Event Reporting System (FAERS), derived from post-marketing surveillance. The ratio of a drug’s in vitro potency against a given protein relative to its therapeutic unbound drug plasma concentration was used to select proteins most likely to be relevant to in vivo effects. In examining individual target bioactivities as predictors of AEs, we found a trade-off between the Positive Predictive Value and the fraction of drugs with AEs that can be detected, however considering sets of multiple targets for the same AE can help identify a greater fraction of AE-associated drugs. Of the 45 targets with statistically significant associations to AEs, 30 are included on existing safety target panels. The remaining 15 targets include 8 carbonic anhydrases, of which CA5B was significantly associated with cholestatic jaundice. We include the full quantitative data on associations between in vitro bioactivities and AEs in humans in this work, which can be used to make a more informed selection of safety profiling targets.Competing Interest StatementThe authors have declared no competing interest.View Full Text
- organism: human
- assay: clinical cohort / trial
- research focus: drug response / drug discovery
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A novel preclinical secondary pharmacology resource illuminates target-adverse drug reaction associations of marketed drugs
J. J. Sutherland, D. Yonchev, … L. Urban·bioRxiv·Jan 31, 2023
- Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology
R. Ietswaart, S. Arat, … L. Urban·bioRxiv·Mar 12, 2020
- The Importance of Reverse Translation for Preclinical Off-Target Mitigation: Quantification and Mitigation of Biases in the FDA Adverse Event Reporting System
M. Maciejewski, E. Lounkine, … L. Urban·bioRxiv·Aug 14, 2016
- Assessment of the cardiovascular adverse effects of drug-drug interactions through a combined analysis of spontaneous reports and predicted drug-target interactions
Sergey M. Ivanov, Alexey A. Lagunin, … Vladimir Poroikov·PLoS Computational BiologyPeer-reviewed·Jul 19, 2019
- Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects
Phuong A. Nguyen, David A. Born, … Lucas D. Ward·Nature CommunicationsPeer-reviewed·Apr 5, 2019
- Predicting negative control drugs to support research in drug safety
Yun Hao, Nicholas P. Tatonetti·bioRxiv·Jul 30, 2018