ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023
Toxicogenomics Data for Chemical Safety Assessment and Development of New Approach Methodologies: An Adverse Outcome Pathway-Based Approach.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-Analysis of Integrated Proteomic and Transcriptomic Data Discerns Structure-Activity Relationship of Carbon Materials with Different Morphologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Pooled it
- An ancestral molecular response to nanomaterial particulates.Nature nanotechnology · 2023Pooled it
- New approach methodologies for next-generation risk assessment of nanomaterials and nano-enabled products.Nano convergence · 2026Review
- The Human Exposome: Integrating the Environment, Human Health, and Society for the Next 60 years.Environmental science & technology · 2026Review
- Unveiling toxicological adverse outcomes: toward construction and simulation of large-scale networks.Toxicological sciences : an official journal of the Society of Toxicology · 2026Review
- Review on Predictive Models and Integration Strategies for Holistic Impact Assessment of Chemicals and Materials.Environmental science & technology · 2026Review
- Study on the Potential Mechanism of Bisphenol A-induced Human Diabetic Nephropathy Based on Network Toxicology and Molecular Docking.Endocrine, metabolic & immune disorders drug targets · 2026Article
- Integrated Approaches in Drug Repositioning Highlight Ouabain and Helenalin as Potential Drug Candidates for Pulmonary Fibrosis.Computational and structural biotechnology journal · 2026Article
- BMDx2: A Tool for Integrating Toxicogenomics-Based Dose-Dependency Analysis and AOP-Based Mechanistic Insights.Small methods · 2025Article
- Wisdom of Crowds for Supporting the Safety Evaluation of Nanomaterials.Environmental science & technology · 2025Article
- Endothelial sensitivity to pro-fibrotic signals links systemic exposure to pulmonary fibrosis.Cell death & disease · 2025Article
- Developmental toxicity: artificial intelligence-powered assessments.Trends in pharmacological sciences · 2025Review
- Article
- CompSafeNano project: NanoInformatics approaches for safe-by-design nanomaterials.Computational and structural biotechnology journal · 2025Article
- INSIGHT: An integrated framework for safe and sustainable chemical and material assessment.Computational and structural biotechnology journal · 2025Article
- Toxicogenomic assessment of in vitro macrophages exposed to profibrotic challenge reveals a sustained transcriptomic immune signature.Computational and structural biotechnology journal · 2024Article
- Adverse outcome pathway for the neurotoxicity of Per- and polyfluoroalkyl substances: A systematic review.Eco-Environment & Health · 2024Review
- A Network Toxicology Approach for Mechanistic Modelling of Nanomaterial Hazard and Adverse Outcomes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- CTD tetramers: a new online tool that computationally links curated chemicals, genes, phenotypes, and diseases to inform molecular mechanisms for environmental health.Toxicological sciences : an official journal of the Society of Toxicology · 2023Article
- A curated gene and biological system annotation of adverse outcome pathways related to human health.Scientific data · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Mechanistic toxicology provides a powerful approach to inform on the safety of chemicals and the development of safe-by-design compounds. Although toxicogenomics supports mechanistic evaluation of chemical exposures, its implementation into the regulatory framework is hindered by uncertainties in the analysis and interpretation of such data. The use of mechanistic evidence through the adverse outcome pathway (AOP) concept is promoted for the development of new approach methodologies (NAMs) that can reduce animal experimentation. However, to unleash the full potential of AOPs and build confidence into toxicogenomics, robust associations between AOPs and patterns of molecular alteration need to be established. Systematic curation of molecular events to AOPs will create the much-needed link between toxicogenomics and systemic mechanisms depicted by the AOPs. This, in turn, will introduce novel ways of benefitting from the AOPs, including predictive models and targeted assays, while also reducing the need for multiple testing strategies. Hence, a multi-step strategy to annotate AOPs is developed, and the resulting associations are applied to successfully highlight relevant adverse outcomes for chemical exposures with strong in vitro and in vivo convergence, supporting chemical grouping and other data-driven approaches. Finally, a panel of AOP-derived in vitro biomarkers for pulmonary fibrosis (PF) is identified and experimentally validated.
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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.