Evidence map›Paper›PMID 39057669›Full record

ReviewMembranes2024

Electrophysiological Insights into Antibiotic Translocation and Resistance: The Impact of Outer Membrane Proteins.

Ishan Ghai

Abstract readReview
In one paragraph

Review in Membranes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Screening of Novel Inhibitors Targeting the Non-ATP-binding Domain ofMedicinal chemistry (Shariqah (United Arab Emirates)) · 2026
    Article
  4. Article
  5. Understanding Drug Permeability inLife (Basel, Switzerland) · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Overexpression of the major facilitator superfamily efflux pump geneFrontiers in cellular and infection microbiology · 2025
    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

1 author.

Ishan GhaiDepartment of Life Sciences and Chemistry, Jacobs University Bremen, 28719 Bremen, Germany.ORCID 0000-0003-3713-403X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The alarming rise of antibiotic resistance in Gram-negative bacteria has emerged as a major global health challenge. A key factor contributing to this crisis is the low permeability of the bacterial outer membrane, which acts as a barrier that prevents antibiotics from entering the cell. Protein channels embedded in this outer membrane selectively regulate the influx of hydrophilic compounds, including antibiotics. To combat antibiotic resistance, understanding the molecular mechanisms governing antibiotic permeability through bacterial membrane channels is crucial. This knowledge is key towards elucidating their roles in studing antibiotic resistance. By compiling and analysing the flux data from multiple electrophysiological reversal potential experimental studies, which involves measuring zero-current potentials and the corresponding single-channel conductance, we can calculate the flux of charged antibiotics/compounds across different Gram-negative bacterial outer membrane channels. Through this comprehensive synthesis, this review aims to advance our understanding and stimulate discussions about the physicochemical factors influencing the flux of antibiotics through bacterial membrane protein channels, ultimately enhancing our knowledge in this area.

Indexed as

antibiotic resistanceelectrophysiological reversal potentialGram-negative bacteriamolecular mechanismsouter membrane permeabilityprotein channelssingle-channel conductance

Identifiers

PMID39057669
PMCPMC11279362

What OpenQuestion holds

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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.