Evidence map›Paper›PMID 38712559›Full record

ArticleSoft matter2024

Novel non-helical antimicrobial peptides insert into and fuse lipid model membranes.

Saheli Mitra, Bhairavi Chandersekhar, Yunshu Li, Mark Coopershlyak, Margot E Mahoney, Brandt Evans, Rachel Koenig, Stephen C L Hall, Beate Klösgen, Frank Heinrich and 2 more

Abstract read
In one paragraph

Article in Soft matter, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

12 authors.

Saheli MitraBiological Physics Group, Physics Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. stn@cmu.edu.ORCID http://orcid.org/0000-0002-5132-3526
Bhairavi ChandersekharBiological Physics Group, Physics Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. stn@cmu.edu.
Yunshu LiBiological Physics Group, Physics Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. stn@cmu.edu.
Mark CoopershlyakBiological Physics Group, Physics Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. stn@cmu.edu.
Margot E MahoneyBiological Physics Group, Physics Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. stn@cmu.edu.
Brandt EvansBiological Physics Group, Physics Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. stn@cmu.edu.
Rachel KoenigBiological Physics Group, Physics Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. stn@cmu.edu.
Stephen C L HallISIS Neutron and Muon Source, Rutherford Appleton Laboratory, Harwell Campus, Didcot, Oxfordshire, OX11 0QX, UK.
Beate KlösgenUniversity of Southern Denmark, Dept. Physics, Chemistry & Pharmacy, PhyLife, Campusvej 55, Odense M5230, Denmark.ORCID http://orcid.org/0000-0002-2334-0388
Frank HeinrichBiological Physics Group, Physics Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. stn@cmu.edu.ORCID http://orcid.org/0000-0002-8579-553X
Berthony DeslouchesDepartment of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID http://orcid.org/0000-0003-4797-7065
Stephanie Tristram-NagleBiological Physics Group, Physics Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. stn@cmu.edu.ORCID http://orcid.org/0000-0003-2271-7056

Funding

Training and OutreachP30GM124166 · NIGMS · CORNELL UNIVERSITY · PI RICHARD A. CERIONE · 2019 to 2026
$28.3M
Structural determinants of activity and mechanism of cationic peptide antibiotic activity against colistin-resistant bacteriaR01AI172861 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Berthony Deslouches · 2023 to 2026
$2.5M
Determinants and Mechanisms of Efficacy of Peptide Antibiotics as Novel Sepsis TherapyR01GM125917 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DESLOUCHES, BERTHONY · 2018 to 2022
$2.1M
NIAID NIH HHS R01 AI172861NIGMS NIH HHS P30 GM124166NIGMS NIH HHS R01 GM125917
6 · The paper itself

Abstract

This research addresses the growing menace of antibiotic resistance by exploring antimicrobial peptides (AMPs) as alternatives to conventional antibiotics. Specifically, we investigate two linear amphipathic AMPs, LE-53 (12-mer) and LE-55 (16-mer), finding that the shorter LE-53 exhibits greater bactericidal activity against both Gram-negative (G(-)) and Gram-positive (G(+)) bacteria. Remarkably, both AMPs are non-toxic to eukaryotic cells. The heightened effectiveness of LE-53 is attributed to its increased hydrophobicity (H) compared to LE-55. Circular dichroism (CD) reveals that LE-53 and LE-55 both adopt β-sheet and random coil structures in lipid model membranes (LMMs) mimicking G(-) and G(+) bacteria, so secondary structure is not the cause of the potency difference. X-ray diffuse scattering (XDS) reveals increased lipid chain order in LE-53, a potential key distinction. Additionally, XDS study uncovers a significant link between LE-53's upper hydrocarbon location in G(-) and G(+) LMMs and its efficacy. Neutron reflectometry (NR) confirms the AMP locations determined using XDS. Solution small angle X-ray scattering (SAXS) demonstrates LE-53's ability to induce vesicle fusion in bacterial LMMs without affecting eukaryotic LMMs, offering a promising strategy to combat antibiotic-resistant strains while preserving human cell integrity, whereas LE-55 has a smaller ability to induce fusion.

Indexed as

Antimicrobial PeptidesAnti-Bacterial AgentsAntimicrobial Cationic PeptidesGram-Negative BacteriaHumansHydrophobic and Hydrophilic InteractionsMicrobial Sensitivity TestsAnti-Bacterial AgentsAntimicrobial Cationic PeptidesAntimicrobial Peptides

Identifiers

PMID38712559
PMCPMC11109824

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.