ArticleBirth defects research2020
Characterizing cleft palate toxicants using ToxCast data, chemical structure, and the biomedical literature.
Article in Birth defects research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Clinical Applications of Artificial Intelligence and Machine Learning in Children with Cleft Lip and Palate-A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- A robust and statistical analyzed predictive model for drug toxicity using machine learning.Scientific reports · 2025Article
- Updates in Cleft Care.Seminars in plastic surgery · 2023Review
- An improved multicellular human organoid model for the study of chemical effects on palatal fusion.Birth defects research · 2023Article
- Transcriptome heterogeneity of congenital cleft palate model in congener New Zealand rabbits induced by dexamethasone.Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2023Article
- Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis.Healthcare (Basel, Switzerland) · 2022Review
- Computational model for fetal skeletal defects potentially linked to disruption of retinoic acid signaling.Frontiers in pharmacology · 2022Article
- Pluripotent stem cell assays: Modalities and applications for predictive developmental toxicity.Current research in toxicology · 2022Article
- FutureTox IV Workshop Summary: Predictive Toxicology for Healthy Children.Toxicological sciences : an official journal of the Society of Toxicology · 2021Review
- Associations of persistent organic pollutants in human adipose tissue with retinoid levels and their relevance to the redox microenvironment.Environmental research · 2021Article
- Current Applications of Artificial Intelligence in Cleft Care: A Scoping Review.Frontiers in medicine · 2021Article
- Retinoid signaling in skeletal development: Scoping the system for predictive toxicology.Reproductive toxicology (Elmsford, N.Y.) · 2021Review
- Computational Biology andCurrent opinion in toxicology · 2020Article
- Environmental mechanisms of orofacial clefts.Birth defects research · 2020Review
- Machine learning on drug-specific data to predict small molecule teratogenicity.Reproductive toxicology (Elmsford, N.Y.) · 2020Article
- Prediction and Characterization of CYP3A4-mediated Metabolisms of Azole Fungicides: an Application of the Fused-grid Template* system.Food safety (Tokyo, Japan) · 2020Article
- Regulatory needs and activities to address the retinoid system in the context of endocrine disruption: The European viewpoint.Reproductive toxicology (Elmsford, N.Y.) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Cleft palate has been linked to both genetic and environmental factors that perturb key events during palatal morphogenesis. As a developmental outcome, it presents a challenging, mechanistically complex endpoint for predictive modeling. A data set of 500 chemicals evaluated for their ability to induce cleft palate in animal prenatal developmental studies was compiled from Toxicity Reference Database and the biomedical literature, which included 63 cleft palate active and 437 inactive chemicals. To characterize the potential molecular targets for chemical-induced cleft palate, we mined the ToxCast high-throughput screening database for patterns and linkages in bioactivity profiles and chemical structural descriptors. ToxCast assay results were filtered for cytotoxicity and grouped by target gene activity to produce a "gene score." Following unsuccessful attempts to derive a global prediction model using structural and gene score descriptors, hierarchical clustering was applied to the set of 63 cleft palate positives to extract local structure-bioactivity clusters for follow-up study. Patterns of enrichment were confirmed on the complete data set, that is, including cleft palate inactives, and putative molecular initiating events identified. The clusters corresponded to ToxCast assays for cytochrome P450s, G-protein coupled receptors, retinoic acid receptors, the glucocorticoid receptor, and tyrosine kinases/phosphatases. These patterns and linkages were organized into preliminary decision trees and the resulting inferences were mapped to a putative adverse outcome pathway framework for cleft palate supported by literature evidence of current mechanistic understanding. This general data-driven approach offers a promising avenue for mining chemical-bioassay drivers of complex developmental endpoints where data are often limited.
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.