Evidence map›Paper›PMID 37766988›Full record

ArticleiScience2023

Investigations on Na+, K+-ATPase energy consumption in ion flow of hydrophilic pores by THz unipolar stimulation.

Wenfei Bo, Rong Che, Qiang Liu, Xiaobo Zhang, Yintao Hou, Yubin Gong

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. 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
0.5field-weighted citation impact, top 35% 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, 4 citations in OpenAlex.

  1. Direct energy consumption by inhibitory GABAFrontiers in neuroscience · 2026
    Article
  2. Review
  3. Advances in Terahertz Biophysics and Chemistry.Research (Washington, D.C.) · 2025
    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

6 authors at 2 institutions in 1 country.

Wenfei BoCollege of Information and Communication, National University of Defense Technology, Wuhan 430000, China.
Rong CheCollege of Information and Communication, National University of Defense Technology, Wuhan 430000, China.
Qiang LiuCollege of Information and Communication, National University of Defense Technology, Wuhan 430000, China.
Xiaobo ZhangCollege of Information and Communication, National University of Defense Technology, Wuhan 430000, China.
Yintao HouCollege of Information and Communication, National University of Defense Technology, Wuhan 430000, China.
Yubin GongSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.
National University of Defense Technology · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Terahertz science and technology has recently shown new application prospects in artificial intelligence. It is found that terahertz unipolar stimulation can activate cell membrane hydrophilic pores. However, the behaviors of Na+, K+-ATPase and energy consumption during this period remain unknown. This paper investigates these behaviors by Na+, K+-ATPase and electroporation models, based on the interaction theory between terahertz fields and ions at the cellular level. The effective diameters of life ions are considered in the aqueous solution. From results, Na+, K+-ATPases can be activated and stay for a while before close after the stimulation. Their life ion flows are far lower than the flows via the pores. And their power dissipation is as low as 10

Indexed as

Cell biologyCellular neuroscienceCellular physiology

Identifiers

PMID37766988
PMCPMC10520936
OpenAlexW4386519106

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.