Evidence map›Paper›PMID 26169010›Full record

ArticleJournal of theoretical biology2015

A spatial model of fluid recycling in the airways of the lung.

Katie Sharp, Edmund Crampin, James Sneyd

Open access · greenAbstract read
In one paragraph

Article in Journal of theoretical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Hybrid Agent-Based Modeling ofFrontiers in microbiology · 2020
    Article
  4. Article
  5. Review
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

3 authors at 2 institutions in 2 countries.

Katie SharpDepartment of Mathematics, University of Auckland, 23 Princes St, Auckland CBD, Auckland 1010, New Zealand. Electronic address: ktsharp@xtra.co.nz.
Edmund CrampinDepartment of Biomedical Engineering, Level 4, University of Melbourne, Parkville 3010, Victoria, Australia.
James SneydDepartment of Mathematics, University of Auckland, 23 Princes St, Auckland CBD, Auckland 1010, New Zealand.
University of Auckland · NZThe University of Melbourne · AU

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 DE019245NIDCR NIH HHS R01DE019245
6 · The paper itself

Abstract

The genetic disease cystic fibrosis (CF) is a mutation in the cystic fibrosis transmembrane conductance regulator (CFTR) gene, and results in viscous mucus and impaired mucociliary clearance leading to chronic recurring pulmonary infections. Although extensive experimental research has been conducted over the last few decades, CF lung pathophysiology remains controversial. There are two competing explanations for the observed depletion of periciliary liquid (PCL) in CF lungs. The low volume hypothesis assumes fluid hyperabsorption through surface epithelia due to an over-active epithelial Na(+) channel (ENaC), and the low secretion hypothesis assumes inspissated mucins secreted from glands due to lack of serous fluid secreted from gland acini. We present a spatial mathematical model that reflects in vivo fluid recycling via submucosal gland (SMG) secretion, and absorption through surface epithelia. We then test the model in CF conditions by increasing ENaC open probability and decreasing SMG flux while simultaneously reducing CFTR open probability. Increasing ENaC activity only results in increased fluid absorption across surface epithelia, as seen in in vitro experiments. However, combining potential CF mechanisms results in markedly less fluid absorbed while providing the largest reduction in PCL volume, suggesting that a compromise in gland fluid secretion dominates over increased ENaC activity to decrease the amount of fluid transported transcellularly in CF lungs in vivo. Model results also indicate that a spatial model is necessary for an accurate calculation of total fluid transport, as the effects of spatial gradients can be severe, particularly in close proximity to the SMGs.

Indexed as

Models, BiologicalAmilorideBiological TransportBody FluidsComputer SimulationCystic FibrosisHumansHydrogen-Ion ConcentrationIon ChannelsIonsLungMembrane PotentialsReproducibility of ResultsTight JunctionsTime FactorsWaterAmilorideIon ChannelsIonsWaterCystic fibrosisFluid and ion transportIon channelsSubmucosal glands

Identifiers

PMID26169010
PMCPMC4550570
OpenAlexW924795783

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.