Environment InternationalPharmacology & ToxicologyPeer-reviewed journal article
Potential Systemic Availability Classification of Chemicals for Safety Assessment
René GeciiD, Alicia PainiiD, Andrew Paul WorthiD, Lars KuepferiD, Stephan SchalleriD
Abstract
The assessment of chemical safety is essential for protecting human health, yet current approaches have severe limitations. They are unable to address the rapidly growing number of substances requiring evaluation and further rely on animal testing, which the public expects to be phased out for ethical reasons. To address this, the European Partnership for Alternative Approaches to Animal Testing (EPAA) proposed the use of a novel framework for the classification of systemic toxicity based on new approach methodologies. One dimension of this framework is the grouping of substances into different classes of Potential Systemic Availability (PSA) concern (low, medium, high). But so far it remained conceptually and practically unclear how this classification can be achieved. Here, we outline the theoretical considerations for a health-protective definition of PSA concern classes and present a method for the quantitative evaluation of this property. Using high-throughput physiologically based kinetic modelling, we are able to classify the PSA concerns of 139 out of 150 EPAA NAM Designathon compounds. Further, we manually annotate these compounds to evaluate the plausibility of predicted classifications against expert judgement. Our results outline under which circumstances it is appropriate to prioritise or deprioritise chemicals due to their toxicokinetic properties. However, we find that most compounds cannot be assessed on their PSA alone and need to be considered medium PSA concern so that classification into any overall systemic toxicity concern class remains possible. Future integration of bioactivity data will be necessary to fully judge the utility of our method and of the entire framework.
- Citations
- 1
- FWCI
- 1.19
- Field percentile
- top 25%
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
- High-throughput PBK modelling for dermal exposure: a pragmatic approach to predict systemic pharmacokinetics
Zeynep Edizcan, Stephan Schaller, … René Geci·Archives of ToxicologyPeer-reviewed·Mar 31, 2026
- Proteome integral solubility alteration assay combined with multi-criteria decision-making analysis for developing adverse outcome pathways
V. Lizano-Fallas, A. Carrasco del Amor, S. Cristobal·bioRxiv·Oct 17, 2022
- Predicting Toxicity and Bioactivity of the Chemical Exposome: A Case Study for the Blood Exposome Database
Ankita Dutta, Dinesh Kumar Barupal·Journal of CheminformaticsPeer-reviewed·Mar 19, 2026
- Improvements in estimating bioaccumulation metrics in the light of toxicokinetics models and Bayesian inference
A. Ratier, C. Lopes, S. Charles·bioRxiv·Jan 17, 2022
- Skin Sensitisation Case Study: Comparison of Defined Approaches including OECD 497 Guidance
- Raspberry pi: Assessments of emerging organic chemicals by the predictive in silico methods
C. D. Arulanandam, P. R, R. K. Govindarajan·bioRxiv·Jan 15, 2021