ArticleScientific data2020
Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Published Physiologically-based Kinetic Models and an Assessment of their Chemical Space Coverage.Alternatives to laboratory animals : ATLA · 2021Pooled it
- Applicability of next-generation risk assessment generic PBK models and their performance within the chemical domain.Archives of toxicology · 2026Article
- HIV Pharmacology Data Repository: Setting the New Information-Sharing Standard for Clinical and Preclinical Pharmacokinetic Studies.Clinical pharmacology and therapeutics · 2025Review
- The environmental neuroactive chemicals list of prioritized substances for human biomonitoring and neurotoxicity testing: A database and high-throughput toxicokinetics approach.Environmental research · 2025Article
- Article
- Leveraging machine learning models in evaluating ADMET properties for drug discovery and development.ADMET & DMPK · 2025Review
- Comprehensive insights into mechanism of nanotoxicity, assessment methods and regulatory challenges of nanomedicines.Discover nano · 2024Review
- An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology.Journal of biomedical semantics · 2024Article
- Systematic evaluation of high-throughput PBK modelling strategies for the prediction of intravenous and oral pharmacokinetics in humans.Archives of toxicology · 2024Article
- A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds.Regulatory toxicology and pharmacology : RTP · 2023Article
- Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency.Environment international · 2023Review
- Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling.Toxicological sciences : an official journal of the Society of Toxicology · 2023Article
- Modelling digital health data: The ExaMode ontology for computational pathology.Journal of pathology informatics · 2023Article
- Towards best use and regulatory acceptance of generic physiologically based kinetic (PBK) models for in vitro-to-in vivo extrapolation (IVIVE) in chemical risk assessment.Archives of toxicology · 2022Article
- The chemical landscape of high-throughput new approach methodologies for exposure.Journal of exposure science & environmental epidemiology · 2022Review
- Advances in computational methods along the exposure to toxicological response paradigm.Toxicology and applied pharmacology · 2022Article
- IVIVE: Facilitating the Use ofToxics · 2022Review
- Incorporating human exposure information in a weight of evidence approach to inform design of repeated dose animal studies.Regulatory toxicology and pharmacology : RTP · 2021Article
- Sourcing data on chemical properties and hazard data from the US-EPA CompTox Chemicals Dashboard: A practical guide for human risk assessment.Environment international · 2021Review
- High-throughput PBTK models forExpert opinion on drug metabolism & toxicology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Time courses of compound concentrations in plasma are used in chemical safety analysis to evaluate the relationship between external administered doses and internal tissue exposures. This type of experimental data is rarely available for the thousands of non-pharmaceutical chemicals to which people may potentially be unknowingly exposed but is necessary to properly assess the risk of such exposures. In vitro assays and in silico models are often used to craft an understanding of a chemical's pharmacokinetics; however, the certainty of the quantitative application of these estimates for chemical safety evaluations cannot be determined without in vivo data for external validation. To address this need, we present a public database of chemical time-series concentration data from 567 studies in humans or test animals for 144 environmentally-relevant chemicals and their metabolites (187 analytes total). All major administration routes are incorporated, with concentrations measured in blood/plasma, tissues, and excreta. We also include calculated pharmacokinetic parameters for some studies, and a bibliography of additional source documents to support future extraction of time-series. In addition to pharmacokinetic model calibration and validation, these data may be used for analyses of differential chemical distribution across chemicals, species, doses, or routes, and for meta-analyses on pharmacokinetic studies.
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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.