Abstract
Chemical safety assessment still heavily relies on animal testing, which is associated with ethical dilemmas and has limited human predictive value. New approach methodologies (NAMs), including in vitro and in silico techniques, offer alternative solutions. In silico toxicology has made progress in predicting chemical effects but frequently lacks biological mechanistic foundations. Recent developments focus on the mechanistic understanding of adverse effects caused by chemicals, as embedded in (quantitative) adverse outcome pathways (AOPs). However, there is a demand for more detailed mechanistic insights at the gene and cell levels, encompassing both pathology and physiology. Drawing inspiration from the Disease Maps Project, this paper introduces physiological maps (PMs) as comprehensive graphical representations of biochemical processes related to specific organ functions. PMs are standardized using Systems Biology Graphical Notation (SBGN) and controlled vocabularies and annotations. Curation guidelines have been developed to ensure reproducibility and usability. We present the methodology used to build PMs, emphasizing the essential collaboration between domain experts and curators. PMs offer user-friendly, standardized visualization for data analysis and educational purposes. Enabling a better understanding of (patho)physiology, they also complement and support the development of AOPs by providing detailed mechanistic information at the gene and cell level. Furthermore, PMs contribute to developing in vitro test batteries and to building (dynamic) in silico models aiming to predict the toxicity of chemicals. Collaborative efforts between the toxicology and systems biology communities are crucial for creating standardized and comprehensive PMs, supporting and accelerating the development of human-relevant NAMs for next-generation risk assessment.
| Original language | English |
|---|---|
| Pages (from-to) | 301-307 |
| Number of pages | 7 |
| Journal | Altex |
| Volume | 42 |
| Issue number | 2 |
| Early online date | 20 Jan 2025 |
| DOIs | |
| Publication status | Published - 15 Apr 2025 |
Bibliographical note
Publisher Copyright:© The Authors, 2025.
Funding
This work has received funding from the European Union\u2019s Horizon 2020 research and innovation programme under grant agreement N\u00B0 963845 (ONTOX) and from the European Research Council under the European Union\u2019s Horizon Europe Framework programme (INSTant CARMA, grant agreement N\u00B0 101088919). Online browsing is supported by the MINERVA team at the Bio-informatics Core of the Luxembourg Centre for Systems Biomedicine within the ELIXIR-LU framework12.
| Funders | Funder number |
|---|---|
| Luxembourg Centre for Systems Biomedicine | |
| European Research Council | |
| Horizon 2020 Framework Programme | 963845 |
| HORIZON EUROPE Framework Programme | 101088919 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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