ArticleJournal of pharmacokinetics and pharmacodynamics2017
Impact of saturable distribution in compartmental PK models: dynamics and practical use.
Article in Journal of pharmacokinetics and pharmacodynamics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed.
- Population Pharmacokinetic/Pharmacodynamic Modeling of Volagidemab, a Glucagon Receptor Antagonist, in Healthy Chinese and US Subjects Following Single Subcutaneous Administration.Pharmaceutical research · 2026Trial
- Upholding or Breaking the Law of Superposition in Pharmacokinetics.Biomedicines · 2024Review
- Population pharmacokinetics of imetelstat, a first-in-class oligonucleotide telomerase inhibitor.CPT: pharmacometrics & systems pharmacology · 2024Article
- What should patients do if they miss a dose of medication? A theoretical approach.Journal of pharmacokinetics and pharmacodynamics · 2021Article
- The computation of biomarkers in pharmacokinetics with the aid of singular perturbation methods.Journal of mathematical biology · 2018Article
- Impact of mathematical pharmacology on practice and theory: four case studies.Journal of pharmacokinetics and pharmacodynamics · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We explore the impact of saturable distribution over the central and the peripheral compartment in pharmacokinetic models, whilst assuming that back flow into the central compartiment is linear. Using simulations and analytical methods we demonstrate characteristic tell-tale differences in plasma concentration profiles of saturable versus linear distribution models, which can serve as a guide to their practical applicability. For two extreme cases, relating to (i) the size of the peripheral compartment with respect to the central compartment and (ii) the magnitude of the back flow as related to direct elimination from the central compartment, we derive explicit approximations which make it possible to give quantitative estimates of parameters. In three appendices we give detailed explanations of how these estimates are derived. They demonstrate how singular perturbation methods can be successfully employed to gain insight in the dynamics of multi-compartment pharmacokinetic models. These appendices are also intended to serve as an introductory tutorial to these ideas.
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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.