ArticleRegulatory toxicology and pharmacology : RTP2021
Opportunities and challenges related to saturation of toxicokinetic processes: Implications for risk assessment.
Article in Regulatory toxicology and pharmacology : RTP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 18 citations in OpenAlex.
- Benchmark Approach to Unravel Fluoride Toxicity: Liver and Kidney Disruptions in Subacutely Exposed Rats.Journal of xenobiotics · 2026Article
- Toxicokinetic and Partial Mass Balance Assessment ofJournal of xenobiotics · 2026Article
- Punica granatum leaf extract as a natural antibacterial agent explored by experimental and computational methods.Scientific reports · 2025Article
- Topical anti-inflammatory potential of ethanol extract ofOpen veterinary journal · 2025Article
- Kinetically-derived maximal dose (KMD) indicates lack of human carcinogenicity of ethylbenzene.Archives of toxicology · 2024Article
- A Transformative Vision for an Omics-Based Regulatory Chemical Testing Paradigm.Toxicological sciences : an official journal of the Society of Toxicology · 2022Article
- Recommendations on dose level selection for repeat dose toxicity studies.Archives of toxicology · 2022Review
- Predicting nonlinear relationships between external and internal concentrations with physiologically based pharmacokinetic modeling.Toxicology and applied pharmacology · 2022Article
- Incorporating human exposure information in a weight of evidence approach to inform design of repeated dose animal studies.Regulatory toxicology and pharmacology : RTP · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
27 authors at 11 institutions in 4 countries.
Funding
Abstract
Top dose selection for repeated dose animal studies has generally focused on identification of apical endpoints, use of the limit dose, or determination of a maximum tolerated dose (MTD). The intent is to optimize the ability of toxicity tests performed in a small number of animals to detect effects for hazard identification. An alternative approach, the kinetically derived maximum dose (KMD), has been proposed as a mechanism to integrate toxicokinetic (TK) data into the dose selection process. The approach refers to the dose above which the systemic exposures depart from being proportional to external doses. This non-linear external-internal dose relationship arises from saturation or limitation of TK process(es), such as absorption or metabolism. The importance of TK information is widely acknowledged when assessing human health risks arising from exposures to environmental chemicals, as TK determines the amount of chemical at potential sites of toxicological responses. However, there have been differing opinions and interpretations within the scientific and regulatory communities related to the validity and application of the KMD concept. A multi-stakeholder working group, led by the Health and Environmental Sciences Institute (HESI), was formed to provide an opportunity for impacted stakeholders to address commonly raised scientific and technical issues related to this topic and, more specifically, a weight of evidence approach is recommended to inform design and dose selection for repeated dose animal studies. Commonly raised challenges related to the use of TK data for dose selection are discussed, recommendations are provided, and illustrative case examples are provided to address these challenges or refute misconceptions.
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.