td2pLL: An intuitive time-dose-response model for cytotoxicity data with varying exposure durations

• Published in: Computational toxicology 2022-08, Vol.23, p.100234, Article 100234
• Main Authors: Duda, Julia, Hengstler, Jan G., Rahnenführer, Jörg
• Format: Article
• Language: English
• Subjects: Cytotoxicity; Dose-response; Exposure duration-concentration-response; Exposure-duration; Statistical modelling; Time-dose-response
• ISSN: 2468-1113; 2468-1113
• DOI: 10.1016/j.comtox.2022.100234

•Improving precision in concentration-response estimation for cytotoxicity assays with varying exposure durations.•Predicting cytotoxicity at exposure durations and concentrations not conducted in the experiment.•New, mechanistically motivated two-dimensional model for exposure duration-concentration-response cytotoxicity data.•R-package td2pLL for easy application of proposed two-dimensional model and modeling pipeline. Statistical modeling approaches for dose-response or concentration-response analyses are often required in toxicological applications, especially for cytotoxicity assays. By fitting a concentration-response curve, one can derive target concentrations, such as the EC50. In practice, concentration-response data for different exposure durations might be available and the target concentration for each or some exposure duration(s) are of interest. In this work, we propose a statistical modeling approach that improves the precision of the target concentration estimation at a given exposure duration by extrapolating the concentration-response data from other exposure durations. The method further enables target concentration estimation at exposure durations that were not conducted in the experiment. For practitioners, the proposed model yields additional complexity compared to the simple approach of a single concentration-response curve for all exposure durations. It would only be used if it improves the estimation of the target concentration compared to the simple approach. We propose a two-step pipeline to decide between using the complex and the simple approach to result in a precise target concentration estimation. The methods were evaluated using a simulation study and a real data set. The models are accessible for practitioners through the R package td2pLL.