ArticleComputational toxicology (Amsterdam, Netherlands)2022
Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network.
Article in Computational toxicology (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 31 citations in OpenAlex.
- Towards Bayesian-based quantitative adverse outcome pathways using in vitro data from open literature and continuous variables: a case example for liver fibrosis.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Causality analysis of toxicological mechanisms in networked systems such as adverse outcome pathway networks.Archives of toxicology · 2026Review
- Developmental toxicity: artificial intelligence-powered assessments.Trends in pharmacological sciences · 2025Review
- Environmental Exposure to Pesticides and the Risk of Child Neurodevelopmental Disorders.Medicina (Kaunas, Lithuania) · 2024Article
- Proof of concept for quantitative adverse outcome pathway modeling of chronic toxicity in repeated exposure.Scientific reports · 2024Article
- Developmental neurotoxicity (DNT) QSAR combination prediction model establishment and structural characteristics interpretation.Toxicology research · 2024Article
- Article
- New approach methods to assess developmental and adult neurotoxicity for regulatory use: a PARC work package 5 project.Frontiers in toxicology · 2024Article
- Structural Insights into Neonicotinoids and N-Unsubstituted Metabolites on Human nAChRs by Molecular Docking, Dynamics Simulations, and Calcium Imaging.International journal of molecular sciences · 2023Article
- G × E interactions as a basis for toxicological uncertainty.Archives of toxicology · 2023Article
- Application of AOPs to assist regulatory assessment of chemical risks - Case studies, needs and recommendations.Environmental research · 2023Review
- Toxicogenomics Data for Chemical Safety Assessment and Development of New Approach Methodologies: An Adverse Outcome Pathway-Based Approach.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Neuronal differentiation pathways and compound-induced developmental neurotoxicity in the human neural progenitor cell test (hNPT) revealed by RNA-seq.Chemosphere · 2022Article
- A matter of trust: Learning lessons about causality will make qAOPs credible.Computational toxicology (Amsterdam, Netherlands) · 2022Review
Corrections and comments
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Authors and funding
13 authors at 7 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In a century where toxicology and chemical risk assessment are embracing alternative methods to animal testing, there is an opportunity to understand the causal factors of neurodevelopmental disorders such as learning and memory disabilities in children, as a foundation to predict adverse effects. New testing paradigms, along with the advances in probabilistic modelling, can help with the formulation of mechanistically-driven hypotheses on how exposure to environmental chemicals could potentially lead to developmental neurotoxicity (DNT). This investigation aimed to develop a Bayesian hierarchical model of a simplified AOP network for DNT. The model predicted the probability that a compound induces each of three selected common key events (CKEs) of the simplified AOP network and the adverse outcome (AO) of DNT, taking into account correlations and causal relations informed by the key event relationships (KERs). A dataset of 88 compounds representing pharmaceuticals, industrial chemicals and pesticides was compiled including physicochemical properties as well as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.