ArticleJournal of toxicology and environmental health. Part B, Critical reviews2010
Toxicity testing in the 21st century: a vision and a strategy.
Article in Journal of toxicology and environmental health. Part B, Critical reviews, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 314 papers, 1 of them a synthesis 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
314 citing papers in PubMed, 1 synthesis or guideline pooled it.
- An ancestral molecular response to nanomaterial particulates.Nature nanotechnology · 2023Pooled it
- Review of in vitro approaches for assessing the toxicity of chemical stressors across diverse physiological systems.Toxicological sciences : an official journal of the Society of Toxicology · 2026Review
- Microplastic-Mediated Gene Expression Alterations and Cancer Risk: Insights from Toxicogenomic Analysis.International journal of molecular sciences · 2026Review
- Biomimetic Chromatography Profiling of a Neurotoxicology-Relevant Compound Panel: A Physicochemical Dataset for New Approach Methodologies.Biomimetics (Basel, Switzerland) · 2026Article
- In vitro models for testicular steroidogenesis: current status and future perspectives.Archives of toxicology · 2026Review
- QSAR modelling of pesticide modes of toxic action across trophic levels via multi-label extreme gradient boosting.Pest management science · 2026Article
- A review of machine learning in toxicology: current practices and reporting gaps.Archives of toxicology · 2026Review
- Integrating Suspect and Nontargeted Screening for Food Safety Testing: A Case Study of Bee Pollen Supplements.Analytical chemistry · 2026Article
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- Tox21mer, A transformer foundation model for Tox21 high-throughput concentration-response curves data.bioRxiv : the preprint server for biology · 2026Article
- Functional Genomics Screening inEnvironmental science & technology · 2026Article
- The way forward for assessing the human health safety of cosmetics in the EU: Proceedings of Workshop 2.Archives of toxicology · 2026Article
- Predicting peroxisome proliferator-activated receptor gamma potency of small molecules: a synergistic consensus model and deep learning binding affinity approach powered by Enalos Cloud Platform.Molecular diversity · 2026Article
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- A Multimodal deep learning method for predicting drug-induced liver injury using structural and sequential molecular representations.Journal of computer-aided molecular design · 2026Article
- Toward Comprehensive In Vitro Evaluation of Serum Albumin Binding of Per- and Polyfluoroalkyl Substances.Journal of xenobiotics · 2026Review
- Mechanism-based new approach methodologies for in vitro detection of chemical-induced liver steatosis.Archives of toxicology · 2026Review
- Cytotoxic and Synergistic Effects of Environmentally Relevant Binary Pollutant Mixtures in a Human Lymphoblast Cell Line.Journal of xenobiotics · 2026Article
- Essence of toxicology research to Saudi Arabia Vision 2030 and beyond: Current state and future perspectives.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2026Article
254 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
With the release of the landmark report Toxicity Testing in the 21st Century: A Vision and a Strategy, the U.S. National Academy of Sciences, in 2007, precipitated a major change in the way toxicity testing is conducted. It envisions increased efficiency in toxicity testing and decreased animal usage by transitioning from current expensive and lengthy in vivo testing with qualitative endpoints to in vitro toxicity pathway assays on human cells or cell lines using robotic high-throughput screening with mechanistic quantitative parameters. Risk assessment in the exposed human population would focus on avoiding significant perturbations in these toxicity pathways. Computational systems biology models would be implemented to determine the dose-response models of perturbations of pathway function. Extrapolation of in vitro results to in vivo human blood and tissue concentrations would be based on pharmacokinetic models for the given exposure condition. This practice would enhance human relevance of test results, and would cover several test agents, compared to traditional toxicological testing strategies. As all the tools that are necessary to implement the vision are currently available or in an advanced stage of development, the key prerequisites to achieving this paradigm shift are a commitment to change in the scientific community, which could be facilitated by a broad discussion of the vision, and obtaining necessary resources to enhance current knowledge of pathway perturbations and pathway assays in humans and to implement computational systems biology models. Implementation of these strategies would result in a new toxicity testing paradigm firmly based on human biology.
Indexed as
Identifiers
What OpenQuestion holds
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.