Evidence map›Paper›PMID 27159324›Full record

ArticlePloS one2016

Unidirectional Flux Balance of Monovalent Ions in Cells with Na/Na and Li/Na Exchange: Experimental and Computational Studies on Lymphoid U937 Cells.

Igor A Vereninov, Valentina E Yurinskaya, Michael A Model, Alexey A Vereninov

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Balance of NaFrontiers in cell and developmental biology · 2020
    Article
  5. Intracellular KScientific reports · 2019
    Article
  6. NaNaunyn-Schmiedeberg's archives of pharmacology · 2019
    Article
  7. Article
  8. Proliferation-related changes in KScientific reports · 2019
    Article
  9. A Tool for Computation of Changes in NaFrontiers in cell and developmental biology · 2019
    Article
  10. Review
  11. How Cells Can Control Their Size by Pumping Ions.Frontiers in cell and developmental biology · 2017
    Article
  12. Commentary: How Cells Can Control Their Size by Pumping Ions.Frontiers in cell and developmental biology · 2017
    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

4 authors at 3 institutions in 2 countries.

Igor A VereninovPeter the Great St-Petersburg Polytechnic University, St-Petersburg, Russia.
Valentina E YurinskayaLaboratory of Cell Physiology, Institute of Cytology, Russian Academy of Sciences, St-Petersburg, Russia.
Michael A ModelDepartment of Biological Sciences, Kent State University, Kent, Ohio, 44242, United States of America.
Alexey A VereninovLaboratory of Cell Physiology, Institute of Cytology, Russian Academy of Sciences, St-Petersburg, Russia.
Institute of Cytology · RUKent State University · USPeter the Great St. Petersburg Polytechnic University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monovalent ion traffic across the cell membrane occurs via various pathways. Evaluation of individual fluxes in whole cell is hampered by their strong interdependence. This difficulty can be overcome by computational analysis of the whole cell flux balance. However, the previous computational studies disregarded ion movement of the self-exchange type. We have taken this exchange into account. The developed software allows determination of unidirectional fluxes of all monovalent ions via the major pathways both under the balanced state and during transient processes. We show how the problem of finding the rate coefficients can be solved by measurement of monovalent ion concentrations and some of the fluxes. Interdependence of fluxes due to the mandatory conditions of electroneutrality and osmotic balance and due to specific effects can be discriminated, enabling one to identify specific changes in ion transfer machinery under varied conditions. To test the effectiveness of the developed approach we made use of the fact that Li/Na exchange is known to be an analogue of the coupled Na/Na exchange. Thus, we compared the predicted and experimental data obtained on U937 cells under varied Li+ concentrations and following inhibition of the sodium pump with ouabain. We found that the coupled Na/Na exchange in U937 cells comprises a significant portion of the entire Na+ turnover. The data showed that the loading of the sodium pump by Li/Na exchange involved in the secondary active Li+ transport at 1-10 mM external Li+ is small. This result may be extrapolated to similar Li+ and Na+ flux relationships in erythrocytes and other cells in patients treated with Li+ in therapeutic doses. The developed computational approach is applicable for studying various cells and can be useful in education for demonstrating the effects of individual transporters and channels on ion gradients, cell water content and membrane potential.

Indexed as

Cations, MonovalentCell MembraneHumansIon TransportLithiumSodiumU937 CellsCations, MonovalentLithiumSodium

Identifiers

PMID27159324
PMCPMC4861346
OpenAlexW2346394192

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.