Evidence map›Paper›PMID 34214534›Full record

ArticleBiophysical journal2021

A tridomain model for potassium clearance in optic nerve of Necturus.

Yi Zhu, Shixin Xu, Robert S Eisenberg, Huaxiong Huang

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Setting Boundaries for Statistical Mechanics.Molecules (Basel, Switzerland) · 2022
    Review
  4. 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 3 countries.

Yi ZhuDepartment of Mathematics and Statistics, York University, Toronto, Ontario, Canada.
Shixin XuZu Chongzhi Center for Mathematics and Computational Sciences, Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, China. Electronic address: shixin.xu@dukekunshan.edu.cn.
Robert S EisenbergDepartment of Applied Mathematics, Illinois Institute of Technology, Chicago, Illinois; Department of Physiology & Biophysics, Rush University, Chicago, Illinois.
Huaxiong HuangDepartment of Mathematics and Statistics, York University, Toronto, Ontario, Canada; Research Centre for Mathematics, Advanced Institute of Natural Sciences, Beijing Normal University (Zhuhai), Zhuhai, China; Division of Science and Technology, BNU-HKBU United International College, Zhuhai, China. Electronic address: hhuang@uic.edu.cn.
York University · CADuke Kunshan University · CNIllinois Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex fluids flow in complex ways in complex structures. Transport of water and various organic and inorganic molecules in the central nervous system are important in a wide range of biological and medical processes. However, the exact driving mechanisms are often not known. In this work, we investigate flows induced by action potentials in an optic nerve as a prototype of the central nervous system. Different from traditional fluid dynamics problems, flows in biological tissues such as the central nervous system are coupled with ion transport. They are driven by osmosis created by concentration gradient of ionic solutions, which in turn influence the transport of ions. Our mathematical model is based on the known structural and biophysical properties of the experimental system used by the Harvard group Orkand et al. Asymptotic analysis and numerical computation show the significant role of water in convective ion transport. The full model (including water) and the electrodiffusion model (excluding water) are compared in detail to reveal an interesting interplay between water and ion transport. In the full model, convection due to water flow dominates inside the glial domain. This water flow in the glia contributes significantly to the spatial buffering of potassium in the extracellular space. Convection in the extracellular domain does not contribute significantly to spatial buffering. Electrodiffusion is the dominant mechanism for flows confined to the extracellular domain.

Indexed as

NeurogliaPotassiumAnimalsExtracellular SpaceNecturusOptic NervePotassium

Identifiers

PMID34214534
PMCPMC8390971
OpenAlexW3154275012

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.