A mathematical model of quorum quenching in biofilm colonies and its potential role as an adjuvant for antibiotic treatment

IF 0.4 Q4 MATHEMATICS, APPLIED Mathematics in applied sciences and engineering Pub Date : 2022-06-16 DOI:10.5206/mase/14612
M. Ghasemi, Viktoria Freingruber, C. Kuttler, H. Eberl
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Abstract

We extend a previously presented mesoscopic (i.e. colony scale) mathematical model of the reaction of bacterial biofilms to antibiotics. In that earlier model, exposure to antibiotics evokes two responses: inactivation as the antibiotics kill the bacteria, and inducing a quorum sensing based stress response mechanism upon exposure to small sublethal dosages. To this model we add now quorum quenching as an adjuvant to antibiotic therapy. Quorum quenchers are modeled like enzymes that degrade the quorum sensing signal concentration. The resulting model is a quasilinear system of seven reaction-diffusion equations for the dependent variables volume fractions of upregulated (protected), downregulated (unprotected) and inert (inactive) biomass [particulate substances], and for concentrations of a growth promoting nutrient, antibiotics, quorum sensing signal, and quorum quenchers [dissolved substances]. The biomass fractions are subject to two nonlinear diffusion effects: (i) degeneracy, as in the porous medium equation, where biomass vanishes, and (ii) a super-diffusion singularity where as it attains its theoretically possible maximum. We study this model in numerical simulations. Our simulations suggest that for maximum efficacy quorum quenchers should be applied early on before quorum sensing induction in the biofilm can take place, and that an antibiotic strategy that by itself might not be successful can be notably improved upon if paired with quorum quenchers as an adjuvant.  
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生物膜菌落群体猝灭的数学模型及其作为抗生素治疗辅助剂的潜在作用
我们扩展了先前提出的细菌生物膜对抗生素反应的介观(即菌落尺度)数学模型。在早期的模型中,暴露于抗生素会引起两种反应:抗生素杀死细菌时的失活,以及暴露于小剂量亚致死剂量时诱导基于群体感应的应激反应机制。在这个模型中,我们现在添加quorum淬火作为抗生素治疗的辅助剂。群体猝灭器的模型类似于降低群体感应信号浓度的酶。由此产生的模型是一个由七个反应扩散方程组成的拟线性系统,这些方程是关于上调(受保护)、下调(不受保护)和惰性(不活跃)生物质[颗粒物质]的因变量体积分数,以及促进生长的营养物、抗生素、群体感应信号和群体猝灭剂[溶解物质]的浓度。生物质组分受到两种非线性扩散效应的影响:(i)简并,如在多孔介质方程中,生物质消失;(ii)超扩散奇点,当它达到理论上可能的最大值时。我们对该模型进行了数值模拟研究。我们的模拟表明,为了获得最大的效果,群体猝灭剂应该在生物膜中群体感应诱导发生之前尽早应用,并且如果将群体猝灭剂作为佐剂配对,则抗生素策略本身可能不成功,可以显着改善。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
0
审稿时长
21 weeks
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