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AbstractGrowing concerns of bacterial resistance against conventional antibiotics shifts the research focus toward antimicrobial peptide (AMP)‐based materials. Most AMPs kill gram‐negative bacteria by destroying their inner membrane, but have to first pass the outer membrane covered with lipopolysaccharides (LPS). Their interplay with the LPS is crucial for bactericidal activity, but is yet to be elucidated in detail. In this study, self‐assemblies of Escherichia coli LPS with the human cathelicidin AMP LL‐37, free and encapsulated into glyceryl monooleate (GMO) lipid nanoparticles, are analyzed using synchrotron small angle X‐ray scattering, dynamic light scattering, and cryogenic transmission electron microscopy. Circular dichroism spectroscopy is used to study modifications in LL‐37's secondary structure. LPS is found to form elongated micelles and the addition of LL‐37 induces their transformation to multilamellar structures. LPS’ addition to GMO cubosomes triggers the swelling of the internal cubic structure, while in multilamellar GMO/LL‐37 nanocarriers it causes transitions into unstructured particles. The insights on the interactions among LPS and LL‐37, in its free form or encapsulated in GMO dispersions, may guide the design of LPS‐responsive antimicrobial nanocarriers. The findings may further assist the formulation of antimicrobial nanomaterials with enhanced penetration of LPS layers for improved destruction of bacterial membranes.
Lipopolysaccharides, Bacteria, LL-37, Lipopolysaccharide, SAXS, Monoolein, Liposomes, Humans, Nanoparticles, Antimicrobial peptide, Liquid crystalline nanoparticles, Antimicrobial Peptides
Lipopolysaccharides, Bacteria, LL-37, Lipopolysaccharide, SAXS, Monoolein, Liposomes, Humans, Nanoparticles, Antimicrobial peptide, Liquid crystalline nanoparticles, Antimicrobial Peptides
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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