Evidence map›Paper›PMID 41683885›Full record

ArticleInternational journal of molecular sciences2026

Inhibiting Effect of Inner Potential on Electroporation of Phospholipid Membranes Induced by Ionic Electrophoresis.

Ping Ye, Haoyang Li, Kuiwen Zhao

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

3 authors.

Ping YeSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Haoyang LiSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Kuiwen ZhaoSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Funding

Shanghai Co-innovation Center for energy therapy of tumors of China 25
6 · The paper itself

Abstract

Understanding electroporation at the molecular level is essential for advancing its biomedical applications, including drug delivery and tumor ablation. Among various influencing factors, the ionic environment, particularly ion concentration and type, plays a crucial role in modulating membrane behavior. In this study, we performed systematic molecular dynamics simulations to investigate how different ions affect the electroporation of phospholipid membranes. While moderate ion concentrations were found to accelerate pore formation by enhancing ion-membrane interactions, our results reveal that excessively high ion concentrations inhibit electroporation. Further analysis shows that this inhibition is primarily due to the formation of an inner potential, induced by the electrophoretic movement of ions under an applied field. This inner potential effectively weakens the transmembrane electric field, delaying or even preventing pore formation. Additionally, we demonstrate a strong correlation between ion charge concentration and electroporation time, regardless of ion species. These findings uncover a concentration-dependent shift in electroporation mechanisms and highlight the critical role of inner potential in regulating membrane permeability. This work provides valuable theoretical insights for the precise control and optimization of electroporation-based therapies.

Indexed as

ElectrophoresisElectroporationLipid BilayersPhospholipidsCell MembraneCell Membrane PermeabilityIonsMolecular Dynamics SimulationIonsLipid BilayersPhospholipidselectroporationinner potentialion concentrationmolecular dynamicsmolecular simulationphospholipid membrane

Identifiers

PMID41683885
PMCPMC12898162

What OpenQuestion holds

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LicenceCC BY
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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.