Evidence map›Paper›PMID 15834688›Full record

ArticleThe Journal of membrane biology2005

A mathematical model of electrolyte and fluid transport across corneal endothelium.

J Fischbarg, F P J Diecke

Abstract read
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In one paragraph

Article in The Journal of membrane biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

24 citing papers in PubMed, 55 citations in OpenAlex.

  1. A mathematical model of corneal endothelium pump function.Journal of the Royal Society, Interface · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Osmoregulation and epithelial water transport: lessons from the intestine of marine teleost fish.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2012
    Review
  10. Article
  11. Oxygen-deficient metabolism and corneal edema.Progress in retinal and eye research · 2011
    Article
  12. Article
  13. Article
  14. Review
  15. Functions of aquaporins in the eye.Progress in retinal and eye research · 2008
    Review
  16. Fluid transport: a guide for the perplexed.The Journal of membrane biology · 2008
    Review
  17. Article
  18. Article
  19. Review
  20. Aquaporins and CFTR in ocular epithelial fluid transport.The Journal of membrane biology · 2006
    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

2 authors at 2 institutions in 1 country.

J FischbargDepartment of Physiology and Cellular Biophysics, Columbia University, New York, USA. jf20@columbia.edu
F P J Diecke
Columbia University · USRutgers New Jersey Medical School

Funding

NEI NIH HHS EY06178
6 · The paper itself

Abstract

To predict the behavior of a transporting epithelium by intuitive means can be complex and frustrating. As the number of parameters to be considered increases beyond a few, the task can be termed impossible. The alternative is to model epithelial behavior by mathematical means. For that to be feasible, it has been presumed that a large amount of experimental information is required, so as to be able to use known values for the majority of kinetic parameters. However, in the present case, we are modeling corneal endothelial behavior beginning with experimental values for only five of eleven parameters. The remaining parameter values are calculated assuming cellular steady state and using algebraic software. With that as base, as in preceding treatments but with a distribution of channels/transporters suited to the endothelium, temporal cell and tissue behavior are computed by a program written in Basic that monitors changes in chemical and electrical driving forces across cell membranes and the paracellular pathway. We find that the program reproduces quite well the behaviors experimentally observed for the translayer electrical potential difference and rate of fluid transport, (a) in the steady state, (b) after perturbations by changes in ambient conditions HCO3-, Na+, and Cl- concentrations), and (c) after challenge by inhibitors (ouabain, DIDS, Na+- and Cl(-)-channel inhibitors). In addition, we have used the program to compare predictions of translayer fluid transport by two competing theories, electro-osmosis and local osmosis. Only predictions using electro-osmosis fit all the experimental data.

Indexed as

Biological Transport, Active4,4'-Diisothiocyanostilbene-2,2'-Disulfonic AcidAmilorideChloride ChannelsComputer SimulationElectrolytesEndothelium, CornealIon ChannelsKineticsModels, BiologicalOsmosisOuabainPermeabilityProton-Translocating ATPasesSodium-Potassium-Exchanging ATPaseSymporters4,4'-Diisothiocyanostilbene-2,2'-Disulfonic AcidAmilorideChloride ChannelsElectrolytesIon ChannelsOuabainphenylamilProton-Translocating ATPasesSodium-Potassium-Exchanging ATPaseSymporters

Identifiers

PMID15834688
OpenAlexW2018621831

What OpenQuestion holds

Textmetadata
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.