Abstract

Antimicrobial peptides (AMPs) are known to attack bacteria selectively over their host cells. Many attempts have been made to use them as a template for designing peptide antibiotics for fighting drug-resistant bacteria. A central concept in this endeavor is “peptide selectivity,” which measures the “quality” of peptides. However, the relevance of selectivity measurements has often been obscured by the cell-density dependence of the selectivity. For instance, the selectivity can be overestimated if the cell density is larger for the host cell. Furthermore, recent experimental studies suggest that peptide trapping in target bacteria magnifies the cell-density dependence of peptide activity. Here, we propose a biophysical model for peptide activity and selectivity, which assists with the correct interpretation of selectivity measurements. The resulting model shows how cell density and peptide trapping in cells influence peptide activity and selectivity: while these effects can alter the selectivity by more than an order of magnitude, peptide trapping works in favor of host cells at high host-cell densities. It can be used to correct selectivity overestimates.

Highlights

  • Antimicrobial peptides (AMPs) are naturally-occurring peptide antibiotics and attack bacteria selectively over host cells (1–3)

  • Consistent with earlier studies (12, 13, 19–21), our results suggest that both minimum inhibitory concentration (MIC) and minimum hemolytic concentration (MHC) increase with cell densities Ccell; in a low cell-density limit, they become Ccell-independent, i.e., intrinsic to a given peptide

  • WB for Gram-negative bacteria should take into account the peptide interaction with their outer membrane (OM), among others

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Summary

INTRODUCTION

Antimicrobial peptides (AMPs) are naturally-occurring peptide antibiotics and attack bacteria selectively over host cells (1–3). The requirement of a minimum peptide concentration (either MIC or MHC) for membrane rupture suggests that cell density is a control parameter for peptide activity and selectivity, as recently discussed (12, 13). Our results show that peptide trapping increases both MICs and MHCs, magnifying their cell-density dependence, since the competition for peptides between cells is stronger. This is a key feature highlighted in recent experiments (19–21) but left out in earlier theoretical studies (12, 13). ) on the right-hand side of Equations (4) and (6) as a whole can be viewed as a fitting parameter It is a slope of either MIC or MHC curve as a function of the cell density and can be obtained from the corresponding homogeneous case.

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DISCUSSIONS AND CONCLUSIONS
DATA AVAILABILITY STATEMENT
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