TY - JOUR
T1 - Mapping physiology
T2 - A systems biology approach for the development of alternative methods in toxicology
AU - Staumont, Bernard
AU - Ladeira, Luiz
AU - Gamba, Alessio
AU - Heusinkveld, Harm J
AU - Piersma, Aldert
AU - Fritsche, Ellen
AU - Masereeuw, Rosalinde
AU - Vanhaecke, Tamara
AU - Teunis, Marc
AU - Luechtefeld, Thomas H
AU - Hartung, Thomas
AU - Jover, Ramiro
AU - Vinken, Mathieu
AU - Geris, Liesbet
PY - 2025/4/15
Y1 - 2025/4/15
N2 - Chemical safety assessment still heavily relies on animal testing, presenting ethical dilemmas and 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 mechanistic understanding of adverse effects inflicted 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 and controlled vocabularies and annotations. Curation guidelines have been developed to ensure reproducibility and usability. This paper presents 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.
AB - Chemical safety assessment still heavily relies on animal testing, presenting ethical dilemmas and 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 mechanistic understanding of adverse effects inflicted 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 and controlled vocabularies and annotations. Curation guidelines have been developed to ensure reproducibility and usability. This paper presents 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.
U2 - 10.14573/altex.2412241
DO - 10.14573/altex.2412241
M3 - Article
C2 - 39918919
SN - 1868-596X
VL - 42
SP - 301
EP - 307
JO - Altex
JF - Altex
IS - 2
ER -