Division of Biomedical Engineering, School of Engineering, University of Glasgow, Glasgow G12 8LT, United Kingdom.
Division of Biomedical Engineering, School of Engineering, University of Glasgow, Glasgow G12 8LT, United Kingdom
Proc Natl Acad Sci U S A. 2017 Oct 3;114(40):E8324-E8332. doi: 10.1073/pnas.1704489114. Epub 2017 Sep 20.
Linear cationic antimicrobial peptides are a diverse class of molecules that interact with a wide range of cell membranes. Many of these peptides disrupt cell integrity by forming membrane-spanning pores that ultimately lead to their death. Despite these peptides high potency and ability to evade acquired bacterial drug resistance, there is a lack of knowledge on their selectivity and activity mechanisms. Such an understanding would provide an informative framework for rational design and could lead to potential antimicrobial therapeutic targets. In this paper, we use a high-throughput microfluidic platform as a quantitative screen to assess peptide activity and selectivity by precisely controlling exposure to vesicles with lipid compositions that mimic both bacterial and mammalian cell membranes. We explore the complexity of the lipid-peptide interactions governing membrane-disruptive behaviors and establish a link between peptide pore formation and both lipid-peptide charge and topological interactions. We propose a topological model for linear antimicrobial peptide activity based on the increase in membrane strain caused by the continuous adsorption of peptides to the target vesicle coupled with the effects of both lipid-peptide charge and topographical interactions. We also show the validity of the proposed model by investigating the activity of two prototypical linear cationic peptides: magainin 2 amide (which is selective for bacterial cells) and melittin (which targets both mammalian and bacterial cells indiscriminately). Finally, we propose the existence of a negative feedback mechanism that governs the pore formation process and controls the membrane's apparent permeability.
线性阳离子抗菌肽是一类具有广泛相互作用的分子,它们与多种细胞膜相互作用。许多这些肽通过形成跨膜孔来破坏细胞完整性,最终导致细胞死亡。尽管这些肽具有高效性和逃避细菌获得性药物耐药性的能力,但对于它们的选择性和作用机制知之甚少。这种理解将为合理设计提供信息框架,并可能导致潜在的抗菌治疗靶点。在本文中,我们使用高通量微流控平台作为定量筛选,通过精确控制与模拟细菌和哺乳动物细胞膜脂质组成的囊泡的暴露来评估肽的活性和选择性。我们探索了控制膜破坏行为的脂质-肽相互作用的复杂性,并建立了肽孔形成与脂质-肽电荷和拓扑相互作用之间的联系。我们提出了一种基于线性抗菌肽活性的拓扑模型,该模型基于肽连续吸附到目标囊泡引起的膜应变增加,以及脂质-肽电荷和拓扑相互作用的影响。我们还通过研究两种典型的线性阳离子肽(magainin 2 酰胺(对细菌细胞具有选择性)和 melittin(无差别地靶向哺乳动物和细菌细胞)的活性,证明了所提出模型的有效性。最后,我们提出了一种负反馈机制的存在,该机制控制着孔形成过程,并控制着膜的表观渗透性。