Evidence map›Paper›PMID 31098677›Full record

ArticleThe Journal of membrane biology2019

Interaction of Antimicrobial Lipopeptides with Bacterial Lipid Bilayers.

Ganesh Shahane, Wei Ding, Michail Palaiokostas, Helena S Azevedo, Mario Orsi

Open access · hybridAbstract read
In one paragraph

Article in The Journal of membrane biology, 2019. 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
1.2field-weighted citation impact, top 21% 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, 30 citations in OpenAlex.

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  12. Special Issue: Membrane and Receptor Dynamics.The Journal of membrane biology · 2019
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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

5 authors at 2 institutions in 1 country.

Ganesh ShahaneInstitute of Bioengineering, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Wei DingSchool of Engineering & Materials Science, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Michail PalaiokostasSchool of Engineering & Materials Science, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Helena S AzevedoSchool of Engineering & Materials Science, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Mario OrsiDepartment of Applied Sciences, University of the West of England, Coldharbour Lane, Bristol, BS16 1QY, UK. Mario.Orsi@uwe.ac.uk.ORCID 0000-0002-3799-5860
Queen Mary University of London · GBUniversity of the West of England · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1
6 · The paper itself

Abstract

The resistance of pathogens to traditional antibiotics is currently a global issue of enormous concern. As the discovery and development of new antibiotics become increasingly challenging, synthetic antimicrobial lipopeptides (AMLPs) are now receiving renewed attention as a new class of antimicrobial agents. In contrast to traditional antibiotics, AMLPs act by physically disrupting the cell membrane (rather than targeting specific proteins), thus reducing the risk of inducing bacterial resistance. In this study, we use microsecond-timescale atomistic molecular dynamics simulations to quantify the interaction of a short AMLP (C16-KKK) with model bacterial lipid bilayers. In particular, we investigate how fundamental transmembrane properties change in relation to a range of lipopeptide concentrations. A number of structural, mechanical, and dynamical features are found to be significantly altered in a non-linear fashion. At 10 mol% concentration, lipopeptides have a condensing effect on bacterial bilayers, characterized by a decrease in the area per lipid and an increase in the bilayer order. Higher AMLP concentrations of 25 and 40 mol% destabilize the membrane by disrupting the bilayer core structure, inducing membrane thinning and water leakage. Important transmembrane properties such as the lateral pressure and dipole potential profiles are also affected. Potential implications on membrane function and associated proteins are discussed.

Indexed as

Models, ChemicalAntimicrobial Cationic PeptidesBacteriaCell MembraneLipid BilayersLipopeptidesAntimicrobial Cationic PeptidesLipid BilayersLipopeptidesAntimicrobial lipopeptidesLipid bilayersMolecular dynamicsMolecular simulation

Identifiers

PMID31098677
PMCPMC6790193
OpenAlexW2946049121

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.