Evidence map›Paper›PMID 30484039›Full record

ArticleBulletin of mathematical biology2019

A Mathematical Model of Fluid Transport in an Accurate Reconstruction of Parotid Acinar Cells.

Elías Vera-Sigüenza, Nathan Pages, John Rugis, David I Yule, James Sneyd

Open access · greenAbstract read
In one paragraph

Article in Bulletin of mathematical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. A Mathematical Model of Salivary Gland Duct Cells.Bulletin of mathematical biology · 2022
    Article
  4. Article
  5. Article
  6. Review
  7. A Model ofBulletin of mathematical biology · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Elías Vera-SigüenzaDepartment of Mathematics, The University of Auckland, Level 2, Building 303, 38 Princes Street, Auckland, New Zealand. elias.siguenza@auckland.ac.nz.ORCID http://orcid.org/0000-0003-4090-3557
Nathan PagesDepartment of Mathematics, The University of Auckland, Level 2, Building 303, 38 Princes Street, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-4993-3827
John RugisDepartment of Mathematics, The University of Auckland, Level 2, Building 303, 38 Princes Street, Auckland, New Zealand.
David I YuleSchool of Medicine and Dentistry, University of Rochester Medical Center, 601 Elmwood Ave, Box 711, Rochester, NY, USA.
James SneydDepartment of Mathematics, The University of Auckland, Level 2, Building 303, 38 Princes Street, Auckland, New Zealand.ORCID http://orcid.org/0000-0001-7305-2862
University of Auckland · NZUniversity of Rochester Medical Center · US

Funding

An experimental/computational approach for understanding salivary fluid secretionR01DE019245 · NIDCR · UNIVERSITY OF ROCHESTER · PI David I Yule · 2008 to 2026
$9.7M
NIDCR NIH HHS R01 DE019245
6 · The paper itself

Abstract

Salivary gland acinar cells use the calcium ([Formula: see text]) ion as a signalling messenger to regulate a diverse range of intracellular processes, including the secretion of primary saliva. Although the underlying mechanisms responsible for saliva secretion are reasonably well understood, the precise role played by spatially heterogeneous intracellular [Formula: see text] signalling in these cells remains uncertain. In this study, we use a mathematical model, based on new and unpublished experimental data from parotid acinar cells (measured in excised lobules of mouse parotid gland), to investigate how the structure of the cell and the spatio-temporal properties of [Formula: see text] signalling influence the production of primary saliva. We combine a new [Formula: see text] signalling model [described in detail in a companion paper: Pages et al. in Bull Math Biol 2018, submitted] with an existing secretion model (Vera-Sigüenza et al. in Bull Math Biol 80:255-282, 2018. https://doi.org/10.1007/s11538-017-0370-6 ) and solve the resultant model in an anatomically accurate three-dimensional cell. Our study yields three principal results. Firstly, we show that spatial heterogeneities of [Formula: see text] concentration in either the apical or basal regions of the cell have no significant effect on the rate of primary saliva secretion. Secondly, in agreement with previous work (Palk et al., in J Theor Biol 305:45-53, 2012. https://doi.org/10.1016/j.jtbi.2012.04.009 ) we show that the frequency of [Formula: see text] oscillation has no significant effect on the rate of primary saliva secretion, which is determined almost entirely by the mean (over time) of the apical and basal [Formula: see text]. Thirdly, it is possible to model the rate of primary saliva secretion as a quasi-steady-state function of the cytosolic [Formula: see text] averaged over the entire cell when modelling the flow rate is the only interest, thus ignoring all the dynamic complexity not only of the fluid secretion mechanism but also of the intracellular heterogeneity of [Formula: see text]. Taken together, our results demonstrate that an accurate multiscale model of primary saliva secretion from a single acinar cell can be constructed by ignoring the vast majority of the spatial and temporal complexity of the underlying mechanisms.

Indexed as

Calcium SignalingAcinar CellsAnimalsCell SizeComputer SimulationHydrodynamicsHydrogen-Ion ConcentrationIn Vitro TechniquesMathematical ConceptsMembrane PotentialsMiceModels, BiologicalParotid GlandSalivaSpatio-Temporal AnalysisFluid secretionIon channelsMathematical modellingParotid glandPlasma membraneSalivaSalivary epitheliaSignalling

Identifiers

PMID30484039
PMCPMC7219794
OpenAlexW2903301661

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.