ReviewInternational journal of environmental research and public health2011
Evaluating pharmacokinetic and pharmacodynamic interactions with computational models in supporting cumulative risk assessment.
Review in International journal of environmental research and public health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Urinary metabolite elimination from inhaled propylene glycol butyl ether (PGBE) and propylene glycol methyl ether (PGME) in healthy participants.Archives of toxicology · 2026Article
- Article
- Role of Physiologically Based Kinetic modelling in addressing environmental chemical mixtures - A review.Computational toxicology (Amsterdam, Netherlands) · 2019Article
- An Overview of Literature Topics Related to Current Concepts, Methods, Tools, and Applications for Cumulative Risk Assessment (2007-2016).International journal of environmental research and public health · 2017Review
- Computational pharmacokinetics/pharmacodynamics of rifampin in a mouse tuberculosis infection model.Journal of pharmacokinetics and pharmacodynamics · 2015Article
- A concentration addition model to assess activation of the pregnane X receptor (PXR) by pesticide mixtures found in the French diet.Toxicological sciences : an official journal of the Society of Toxicology · 2014Article
- Testicular development in male rats is sensitive to a soy-based diet in the neonatal period.Biology of reproduction · 2014Article
- NovelToxicology research · 2013Review
- Science and decisions: advancing toxicology to advance risk assessment.Toxicological sciences : an official journal of the Society of Toxicology · 2013Article
- Using physiologically-based pharmacokinetic models to incorporate chemical and non-chemical stressors into cumulative risk assessment: a case study of pesticide exposures.International journal of environmental research and public health · 2012Article
- Cumulative risk assessment: an overview of methodological approaches for evaluating combined health effects from exposure to multiple environmental stressors.International journal of environmental research and public health · 2012Review
- Application of physiologically based pharmacokinetic models in chemical risk assessment.Journal of toxicology · 2012Article
- Deterministic models of inhalational anthrax in New Zealand white rabbits.Biosecurity and bioterrorism : biodefense strategy, practice, and scienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Simultaneous or sequential exposure to multiple chemicals may cause interactions in the pharmacokinetics (PK) and/or pharmacodynamics (PD) of the individual chemicals. Such interactions can cause modification of the internal or target dose/response of one chemical in the mixture by other chemical(s), resulting in a change in the toxicity from that predicted from the summation of the effects of the single chemicals using dose additivity. In such cases, conducting quantitative cumulative risk assessment for chemicals present as a mixture is difficult. The uncertainties that arise from PK interactions can be addressed by developing physiologically based pharmacokinetic (PBPK) models to describe the disposition of chemical mixtures. Further, PK models can be developed to describe mechanisms of action and tissue responses. In this article, PBPK/PD modeling efforts conducted to investigate chemical interactions at the PK and PD levels are reviewed to demonstrate the use of this predictive modeling framework in assessing health risks associated with exposures to complex chemical mixtures.
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.