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Lipid membranes are supposed to be the main target of many types of natural or
designed molecules, such as antimicrobial peptides or their synthetic mimics,
anticancer, antiviral peptides, transfection agents, or amyloidogenic peptides. The
effects of these compounds on model membranes have been investigated and
induced membrane permeabilization or leakage is often taken as an indication for
activity. Despite decades of research and a wealth of natural and designed molecules
and high-throughput approaches, a break-through is still missing, especially regarding
much-needed alternatives to classical antibiotics. The presentation adopts the lipid
point of view, a probably underexplored option to complement a typically peptide- or
polymer-centered approach to new therapeutic molecules. The search for potent
molecules with high selectivity requires mechanistic understanding that, to date, relies
on biophysical studies of unclear relevance to the therapeutic situation or envisioned
application. This contribution will: (1) Improve knowledge on membrane
permeabilization mechanisms, pointing out the different types of independent
information in a leakage experiment. (2) Establish a network of membrane
perturbations that contribute to activity and selectivity, including leaky membrane
fusion and intrinsically unselective asymmetry stress. (3) help to design relevant
membrane model studies. Comparison between model studies and activity in complex
biological contexts requires awareness of differences and how a given experiment is
biased towards certain modes of action. We find that selectivity of polymers for certain
lipid compositions results from differences in membrane binding, but also from the
preference of the lipids for certain leakage mechanisms. Membrane fusion and
aggregation can influence membrane leakage. We cleanly distinguish asymmetry
stress and leaky fusion and examine the interrelation of other modes of membrane
perturbation. The role of the lipid composition for leaky fusion is elucidated. Avoiding
misconceptions and misinterpretation, we can make better use of the information that
has already been collected. We can improve simplified and accessible model studies
of membrane-mediated antimicrobial activity to develop future treatments against
increasingly resistant microbes.
This work was supported by the German Research Foundation (DFG 415894560).
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