Evidence map›Paper›PMID 27595096›Full record

ArticleFrontiers in cell and developmental biology2016

Membrane Thinning and Thickening Induced by Membrane-Active Amphipathic Peptides.

Stephan L Grage, Sergii Afonin, Sezgin Kara, Gernot Buth, Anne S Ulrich

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

39 citing papers in PubMed, 98 citations in OpenAlex.

  1. Article
  2. Article
  3. Synergistic Action of Antimicrobial Peptides and Antibiotics.International journal of molecular sciences · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Mixed Lineage Kinase Domain-Like Protein (MLKL): From Mechanisms to Therapeutic Opportunities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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  16. Article
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  18. Article
  19. Deciphering the Mechanism of Action of the Antimicrobial Peptide BP100.International journal of molecular sciences · 2024
    Review
  20. 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

5 authors at 1 institution in 1 country.

Stephan L GrageKarlsruhe Institute of Technology, Institute of Biological Interfaces Karlsruhe, Germany.
Sergii AfoninKarlsruhe Institute of Technology, Institute of Biological Interfaces Karlsruhe, Germany.
Sezgin KaraKarlsruhe Institute of Technology, Institute of Organic Chemistry Karlsruhe, Germany.
Gernot ButhKarlsruhe Institute of Technology, Institute for Accelerator Physics and Technology Karlsruhe, Germany.
Anne S UlrichKarlsruhe Institute of Technology, Institute of Biological InterfacesKarlsruhe, Germany; Karlsruhe Institute of Technology, Institute of Organic ChemistryKarlsruhe, Germany.
Karlsruhe Institute of Technology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membrane thinning has been discussed as a fundamental mechanism by which antimicrobial peptides can perturb cellular membranes. To understand which factors play a role in this process, we compared several amphipathic peptides with different structures, sizes and functions in their influence on the lipid bilayer thickness. PGLa and magainin 2 from X. laevis were studied as typical representatives of antimicrobial cationic amphipathic α-helices. A 1:1 mixture of these peptides, which is known to possess synergistically enhanced activity, allowed us to evaluate whether and how this synergistic interaction correlates with changes in membrane thickness. Other systems investigated here include the α-helical stress-response peptide TisB from E. coli (which forms membrane-spanning dimers), as well as gramicidin S from A. migulanus (a natural antibiotic), and BP100 (designer-made antimicrobial and cell penetrating peptide). The latter two are very short, with a circular β-pleated and a compact α-helical structure, respectively. Solid-state (2)H-NMR and grazing incidence small angle X-ray scattering (GISAXS) on oriented phospholipid bilayers were used as complementary techniques to access the hydrophobic thickness as well as the bilayer-bilayer repeat distance including the water layer in between. This way, we found that magainin 2, gramicidin S, and BP100 induced membrane thinning, as expected for amphiphilic peptides residing in the polar/apolar interface of the bilayer. PGLa, on the other hand, decreased the hydrophobic thickness only at very high peptide:lipid ratios, and did not change the bilayer-bilayer repeat distance. TisB even caused an increase in the hydrophobic thickness and repeat distance. When reconstituted as a mixture, PGLa and magainin 2 showed a moderate thinning effect which was less than that of magainin 2 alone, hence their synergistically enhanced activity does not seem to correlate with a modulation of membrane thickness. Overall, the absence of a typical thinning response in the case of PGLa, and the increase in the repeat distance and membrane thickening observed for TisB, demonstrate that the concept of peptide-induced membrane thinning cannot be generalized. Instead, these results suggest that different factors contribute to the resulting changes in membrane thickness, such as the peptide orientation in the bilayer, and/or bilayer adaptation to hydrophobic mismatch.

Indexed as

antimicrobial and cell penetrating peptidesgramicidin Sgrazing incidence small angle X-ray scatteringlipid bilayer thicknessmagaininmembrane thinningoriented bilayer samplessolid-state deuterium nuclear magnetic resonance

Identifiers

PMID27595096
PMCPMC4999517
OpenAlexW2460182520

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Registered trials

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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.