A Stochastic Biofilm Disruption Model Based on Quorum Sensing Mimickers

作     者：Gulec, Fatih Eckford, Andrew W. 

作者机构：Department of Electrical Engineering and Computer Science York University TorontoONM3J 1P3 Canada 

出 版 物：《IEEE Transactions on Molecular, Biological, and Multi-Scale Communications》 (IEEE Trans. Mol. Biol. Multi-Scale Commun.)

年 卷 期：2023年第9卷第3期

页      面：346-350页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0710[理学-生物学] 0711[理学-系统科学] 0808[工学-电气工程] 0817[工学-化学工程与技术] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0703[理学-化学] 0714[理学-统计学（可授理学、经济学学位）] 0811[工学-控制科学与工程] 0701[理学-数学] 

基　　金：The work of Fatih Gulec and Andrew W. Eckford was supported by the Discovery Grant from the Natural Sciences and Engineering Research Council of Canada. The associate editor coordinating the review of this article and approving it for publication was V. Jamali 

主　　题：Random processes 

摘      要：Quorum sensing (QS) mimickers can be used as an effective tool to disrupt biofilms which consist of communicating bacteria and extracellular polymeric substances (EPS). In this paper, a stochastic biofilm disruption model based on the usage of QS mimickers is proposed. A chemical reaction network (CRN) involving four different states is employed to model the biological processes during the biofilm formation and its disruption via QS mimickers. In addition, a state-based stochastic simulation algorithm is proposed to simulate this CRN. The proposed model is validated by the in vitro experimental results of Pseudomonas aeruginosa biofilm and its disruption by rosmarinic acid as the QS mimicker. Our results show that there is an uncertainty in state transitions due to the effect of the randomness in the CRN. In addition to the QS activation threshold, the presented work demonstrates that there are underlying two more thresholds for the disruption of EPS and bacteria, which provides a realistic modeling for biofilm disruption with QS mimickers. © 2023 IEEE.