A Network Toxicology Approach for Mechanistic Modelling of Nanomaterial Hazard and Adverse Outcomes.
adverse outcome pathways
complex systems
engineered nanomaterials
network theory
systems toxicology
toxicogenomics
Journal
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
ISSN: 2198-3844
Titre abrégé: Adv Sci (Weinh)
Pays: Germany
ID NLM: 101664569
Informations de publication
Date de publication:
25 Jun 2024
25 Jun 2024
Historique:
revised:
10
05
2024
received:
10
01
2024
medline:
26
6
2024
pubmed:
26
6
2024
entrez:
26
6
2024
Statut:
aheadofprint
Résumé
Hazard assessment is the first step in evaluating the potential adverse effects of chemicals. Traditionally, toxicological assessment has focused on the exposure, overlooking the impact of the exposed system on the observed toxicity. However, systems toxicology emphasizes how system properties significantly contribute to the observed response. Hence, systems theory states that interactions store more information than individual elements, leading to the adoption of network based models to represent complex systems in many fields of life sciences. Here, they develop a network-based approach to characterize toxicological responses in the context of a biological system, inferring biological system specific networks. They directly link molecular alterations to the adverse outcome pathway (AOP) framework, establishing direct connections between omics data and toxicologically relevant phenotypic events. They apply this framework to a dataset including 31 engineered nanomaterials with different physicochemical properties in two different in vitro and one in vivo models and demonstrate how the biological system is the driving force of the observed response. This work highlights the potential of network-based methods to significantly improve their understanding of toxicological mechanisms from a systems biology perspective and provides relevant considerations and future data-driven approaches for the hazard assessment of nanomaterials and other advanced materials.
Identifiants
pubmed: 38923832
doi: 10.1002/advs.202400389
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2400389Subventions
Organisme : EU FP7 project "NANOSOLUTIONS"
ID : 309329
Organisme : Academy of Finland
ID : 322761
Organisme : European Research Council
ID : 101043848
Pays : International
Organisme : EU project "INSIGHT"
ID : 101137742
Organisme : CompSafeNano project
ID : 101008099
Informations de copyright
© 2024 The Author(s). Advanced Science published by Wiley‐VCH GmbH.
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