ReviewCurrent environmental health reports2016
Accelerating Adverse Outcome Pathway Development Using Publicly Available Data Sources.
Review in Current environmental health reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed.
- A high-throughput method to computationally develop candidate adverse outcome pathways in humans: a proof of concept with insecticides and Parkinson's Disease.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Initial versus Subsequent Injury and Illness and Temporal Trends Among Professional Hockey Players.International journal of sports physical therapy · 2024Article
- U. S. federal perspective on critical research issues in nanoEHS.Environmental science. Nano · 2023Article
- The ToxCast pipeline: updates to curve-fitting approaches and database structure.Frontiers in toxicology · 2023Article
- Elbow Injuries Among MLB Pitchers Increased During Covid-19 Disrupted Season, But Not Other Baseball Injuries.International journal of sports physical therapy · 2023Article
- Deriving time-concordant event cascades from gene expression data: A case study for Drug-Induced Liver Injury (DILI).PLoS computational biology · 2022Article
- From Causal Networks to Adverse Outcome Pathways: A Developmental Neurotoxicity Case Study.Frontiers in toxicology · 2022Article
- Adverse Outcome Pathways as Versatile Tools in Liver Toxicity Testing.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Characterization of Rookie Season Injury and Illness and Career Longevity Among National Basketball Association Players.JAMA network open · 2021Article
- Temporal Trends and Severity in Injury and Illness Incidence in the National Basketball Association Over 11 Seasons.Orthopaedic journal of sports medicine · 2021Article
- TOXPANEL: A Gene-Set Analysis Tool to Assess Liver and Kidney Injuries.Frontiers in pharmacology · 2021Article
- Challenges in the quantification approach to a radiation relevant adverse outcome pathway for lung cancer.International journal of radiation biology · 2021Article
- Leveraging the Comparative Toxicogenomics Database to Fill in Knowledge Gaps for Environmental Health: A Test Case for Air Pollution-induced Cardiovascular Disease.Toxicological sciences : an official journal of the Society of Toxicology · 2020Article
- AOP4EUpest: mapping of pesticides in adverse outcome pathways using a text mining tool.Bioinformatics (Oxford, England) · 2020Article
- Modernization of chemical risk assessment to make use of novel toxicological data.Toxicology and applied pharmacology · 2020Article
- Progress in data interoperability to support computational toxicology and chemical safety evaluation.Toxicology and applied pharmacology · 2019Review
- Predictive Analysis Using Chemical-Gene Interaction Networks Consistent with Observed Endocrine Activity and Mutagenicity of U.S. Streams.Environmental science & technology · 2019Article
- Public data sources to support systems toxicology applications.Current opinion in toxicology · 2019Article
- Extracting and Benchmarking Emerging Adverse Outcome Pathway Knowledge.Toxicological sciences : an official journal of the Society of Toxicology · 2019Article
- The Comparative Toxicogenomics Database: update 2019.Nucleic acids research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The adverse outcome pathway (AOP) concept links molecular perturbations with organism and population-level outcomes to support high-throughput toxicity (HTT) testing. International efforts are underway to define AOPs and store the information supporting these AOPs in a central knowledge base; however, this process is currently labor-intensive and time-consuming. Publicly available data sources provide a wealth of information that could be used to define computationally predicted AOPs (cpAOPs), which could serve as a basis for creating expert-derived AOPs in a much more efficient way. Computational tools for mining large datasets provide the means for extracting and organizing the information captured in these public data sources. Using cpAOPs as a starting point for expert-derived AOPs should accelerate AOP development. Coupling this with tools to coordinate and facilitate the expert development efforts will increase the number and quality of AOPs produced, which should play a key role in advancing the adoption of HTT testing, thereby reducing the use of animals in toxicity testing and greatly increasing the number of chemicals that can be tested.
Indexed as
Identifiers
26809562What 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.