在循环抗菌治疗中由生长-杀灭权衡驱动的细菌选择与灭绝条件
Conditions for Bacterial Selection and Extinction Driven by Growth-Kill Trade-Off in Cyclic Antimicrobial Treatments
AI总结：
本研究提出了一种模型，探讨在循环抗菌治疗中，细菌因生长与杀灭权衡而选择或灭绝的条件。
摘要：
抗菌协议-使用抗生素或消毒剂等物质-仍然是预防病原菌传播的首选方法。然而，细菌可以发展出减少其抗菌敏感性的机制，这可能导致治疗失败并选择出耐药性或耐受性菌株。在本工作中，我们提出了一种最小人口动力学模型，用于研究在循环抗菌应用中细菌的选择。在这里，具有异质抗菌敏感性的细菌群体中的选择被建模为生存优势（减少抗菌杀灭）与潜在适应度成本（生长率减少）之间的权衡。所提出的模型使我们能够根据两种细菌特性：生长率和杀灭率，推导出确定循环抗菌治疗成功性的有用表达式。所获得的结果可以直接应用于防止在现实协议中耐药性和耐受性细菌菌株的选择和传播。
英文摘要：
Antimicrobial protocols - using substances such as antibiotics or disinfectants - remain the preferred option for preventing the spread of pathogenic bacteria. However, bacteria can develop mechanisms to reduce their antimicrobial susceptibility, which can lead to treatment failure and the selection of resistance or tolerance. In this work, we propose a minimal population dynamics model to study bacterial selection during cyclic antimicrobial application, a commonly used protocol. Selection in bacterial populations with heterogeneous antimicrobial susceptibility is modelled here as a trade-off between survival advantage (reduction in antimicrobial killing) and potential fitness costs (reduction in growth rate) of the less susceptible strains. The proposed model allows us to derive useful expressions for determining the success of cyclic antimicrobial treatments based on two bacterial traits: growth and kill rates. The results obtained here are directly applicable to preventing the selection and spread of resistant and tolerant bacterial strains in real-life protocols.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
