ArticleJournal of theoretical biology2010
A dynamic model of saliva secretion.
Article in Journal of theoretical biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 54 citations in OpenAlex.
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- A Mathematical Exploration of SDH-b Loss in Chromaffin Cells.Bulletin of mathematical biology · 2025Article
- In Vivo Biofilm Formation on Novel PEEK, Titanium, and Zirconia Implant Abutment Materials.International journal of molecular sciences · 2023Article
- A Mathematical Model of Salivary Gland Duct Cells.Bulletin of mathematical biology · 2022Article
- Highly localized intracellular CaeLife · 2021Article
- Calcium Dynamics and Water Transport in Salivary Acinar Cells.Bulletin of mathematical biology · 2021Review
- A Model ofBulletin of mathematical biology · 2019Article
- Expression of BK channels and NaThe ocular surface · 2019Article
- A Mathematical Model of Fluid Transport in an Accurate Reconstruction of Parotid Acinar Cells.Bulletin of mathematical biology · 2019Article
- Computational Modeling of Glucose Uptake in the Enterocyte.Frontiers in physiology · 2019Article
- New saliva secretion model based on the expression of NaPflugers Archiv : European journal of physiology · 2018Article
- A Mathematical Model Supports a Key Role for Ae4 (Slc4a9) in Salivary Gland Secretion.Bulletin of mathematical biology · 2018Article
- Modeling calcium waves in an anatomically accurate three-dimensional parotid acinar cell.Journal of theoretical biology · 2017Article
- A spatial model of fluid recycling in the airways of the lung.Journal of theoretical biology · 2015Article
- Multiscale modelling of saliva secretion.Mathematical biosciences · 2014Article
- Modelling mechanism of calcium oscillations in pancreatic acinar cells.Journal of bioenergetics and biomembranes · 2014Article
- Modelling the transition from simple to complex Ca²⁺ oscillations in pancreatic acinar cells.Journal of biosciences · 2014Article
- Ca²⁺-dependent K⁺ channels in exocrine salivary glands.Cell calcium · 2014Review
- Response to "What do aquaporin knockout studies tell us about fluid transport in epithelia?" Maclaren OJ, Sneyd J, Crampin EJ (2013) J Membr Biol 246:297-305.The Journal of membrane biology · 2013Article
- Quantitative properties and receptor reserve of the DAG and PKC branch of G(q)-coupled receptor signaling.The Journal of general physiology · 2013Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
We construct a mathematical model of the parotid acinar cell with the aim of investigating how the distribution of K(+) and Cl(-) channels affects saliva production. Secretion of fluid is initiated by Ca(2+) signals acting on Ca(2+) dependent K(+) and Cl(-) channels. The opening of these channels facilitates the movement of Cl(-) ions into the lumen which water follows by osmosis. We use recent results into both the release of Ca(2+) from internal stores via the inositol (1,4,5)-trisphosphate receptor (IP(3)R) and IP(3) dynamics to create a physiologically realistic Ca(2+) model which is able to recreate important experimentally observed behaviours seen in parotid acinar cells. We formulate an equivalent electrical circuit diagram for the movement of ions responsible for water flow which enables us to calculate and include distinct apical and basal membrane potentials to the model. We show that maximum saliva production occurs when a small amount of K(+) conductance is located at the apical membrane, with the majority in the basal membrane. The maximum fluid output is found to coincide with a minimum in the apical membrane potential. The traditional model whereby all Cl(-) channels are located in the apical membrane is shown to be the most efficient Cl(-) channel distribution.
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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.