Single-cell stochastic modelling of the action of antimicrobial peptides on bacteria

Single-cell stochastic modelling of the action of antimicrobial peptides on bacteria
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抗菌肽对细菌作用的单细胞随机模型

DOI:
10.1098/rsif.2021.0392
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发表时间:
2021
影响因子:
3.9
通讯作者:
Kolomeisky, Anatoly B.
Kolomeisky, Anatoly B.
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Teimouri, Hamid;Nguyen, Thao N.;Kolomeisky, Anatoly B.

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多细胞生物体产生的抗菌肽(AMPs)作为其免疫系统对微生物的防御,被认为是传统抗生素的天然替代品。虽然对AMP的研究已经取得了实质性的进展,但其功能的微观机制仍然不清楚。在这里,我们开发了一个新的理论框架来研究AMP如何能够有效地中和细菌。在我们的最小理论模型中,随机描述了最相关的过程,即AMP进入单个细菌细胞并随后对其进行抑制。利用互补的主方程方法,明确地评估了AMPS清除细菌动力学的所有相关特征,如抑制概率和清除前的平均时间。研究发现,进入和抑制这两个过程对于AMP的有效运作同样重要。我们的理论方法自然地解释了现有AMP的广泛效率以及它们在单细胞水平上的异质性。理论计算也与现有的单电池测量结果一致。因此,提出的理论方法澄清了AMPS对细菌作用的一些微观方面。
Antimicrobial peptides (AMPs) produced by multi-cellular organisms as their immune system’s defence against microbes are actively considered as natural alternatives to conventional antibiotics. Although substantial progress has been achieved in studying the AMPs, the microscopic mechanisms of their functioning remain not well understood. Here, we develop a new theoretical framework to investigate how the AMPs are able to efficiently neutralize bacteria. In our minimal theoretical model, the most relevant processes, AMPs entering into and the following inhibition of the single bacterial cell, are described stochastically. Using complementary master equations approaches, all relevant features of bacteria clearance dynamics by AMPs, such as the probability of inhibition and the mean times before the clearance, are explicitly evaluated. It is found that both processes, entering and inhibition, are equally important for the efficient functioning of AMPs. Our theoretical method naturally explains a wide spectrum of efficiencies of existing AMPs and their heterogeneity at the single-cell level. Theoretical calculations are also consistent with existing single-cell measurements. Thus, the presented theoretical approach clarifies some microscopic aspects of the action of AMPs on bacteria.
DOI: 10.3389/fmedt.2020.610997
发表时间: 2020
影响因子: --
作者:
Benfield AH;Henriques ST
通讯作者: Henriques ST
DOI: 10.1098/rspb.2017.2687
发表时间: 2018-03-14
影响因子: 4.7
作者:
Yu, Guozhi;Baeder, Desiree Y.;Rolff, Jens
通讯作者: Rolff, Jens