ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024
A Network Toxicology Approach for Mechanistic Modelling of Nanomaterial Hazard and Adverse Outcomes.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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
36 citing papers in PubMed.
- Narrative Review of Nanomaterial Interactions in Plants with a Focus on Multi-Omics and Epigenetic Remodeling.Plants (Basel, Switzerland) · 2026Review
- AOP-Based Analysis of Curated Transcriptomic Data Reveals a Context-Dependent Core Mechanism of PFAS-Induced Liver Steatosis.Environmental science & technology · 2026Article
- Shikonin-Loaded Nanoparticles Ameliorate DEHP-Exacerbated Psoriasis Skin Injury via Targeted Inhibition of the p38 MAPK Signaling Pathway.International journal of molecular sciences · 2026Article
- Article
- New approach methodologies for next-generation risk assessment of nanomaterials and nano-enabled products.Nano convergence · 2026Review
- Potential Molecular Associations Between Triphenyl Phosphate Exposure and Thyroid Cancer: Integration of Network Toxicology and Machine Learning for Core Target Identification with Molecular Docking.International journal of molecular sciences · 2026Article
- Protocol for analyzing potential targets of environmental pollutants in human diseases using network toxicology and molecular docking.STAR protocols · 2026Article
- Long-term ovarian function risks associated with combined oral contraceptive administration in polycystic ovary syndrome: multisource data integration and protective mechanisms of metformin.Journal of translational medicine · 2026Article
- Species Dependent Toxicity Comparison Outcome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Integrative bioinformatics, network toxicology, and molecular docking elucidate molecular mechanisms of ATBC-induced sarcoma progression with experimental validation.BMC pharmacology & toxicology · 2026Article
- Computational identification of diagnostic biomarkers linking Dibutyl phthalate exposure to ovarian cancer through network toxicology and machine learning.Discover oncology · 2026Article
- Unveiling toxicological adverse outcomes: toward construction and simulation of large-scale networks.Toxicological sciences : an official journal of the Society of Toxicology · 2026Review
- Bisphenol a exposure and major depressive disorder: an integrative analysis combining network toxicology, molecular docking, genetic epidemiology, and transcriptomic validation.Translational psychiatry · 2026Article
- Core targets of bisphenol A in cervical cancer revealed by network toxicology and molecular docking.Medicine · 2026Article
- Review on Predictive Models and Integration Strategies for Holistic Impact Assessment of Chemicals and Materials.Environmental science & technology · 2026Review
- Identifying key molecular interactions and pathways linking DEHP and its metabolite MEHP to allergic rhinitis: a network toxicology and molecular dynamics study.BMC pharmacology & toxicology · 2026Article
- Unraveling the neurotoxic mechanisms of tranexamic acid in epilepsy induction: a network toxicology and molecular docking approach.BMC medicine · 2026Article
- Polyethylene terephthalate microplastics exposure enhances the risk of ulcerative colitis: insights from multiomics integration, machine learning, and molecular docking reveal intestinal toxicity mechanisms.International journal of surgery (London, England) · 2026Article
- Weighted network analysis of adverse outcome pathways decodes the multiscale mechanisms of environmental toxicity.Environmental science and ecotechnology · 2026Article
- An Exploratory Analysis of Potential Core Targets and Signaling Pathways Linking Dexmedetomidine to Diabetes Insipidus: Integration of FAERS Pharmacovigilance Data, Network Toxicology and Clinical Transcriptomics.Drug design, development and therapy · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
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.
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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.