Brepoels Pauline, De Wit Gitta, Lories Bram, Belpaire Tom E R, Steenackers Hans P
Centre for Microbial and Plant Genetics, KU Leuven, Leuven, Belgium.
Division of Mechatronics, Biostatistics, and Sensors, KU Leuven, Leuven, Belgium.
Crit Rev Microbiol. 2025 May;51(3):417-426. doi: 10.1080/1040841X.2024.2367666. Epub 2024 Aug 19.
The rapid increase of antibiotic-resistant pathogens is severely limiting our current treatment possibilities. An important subset of the resistance mechanisms conferring antibiotic resistance have public effects, allowing otherwise susceptible bacteria to also survive antibiotic treatment. As susceptible bacteria can survive treatment without bearing the metabolic cost of producing the resistance mechanism, there is potential to increase their relative frequency in the population and, as such, select against resistant bacteria. Multiple studies showed that this altered selection for resistance is dependent on various environmental and treatment parameters. In this review, we provide a comprehensive overview of their most important findings and describe the main factors impacting the selection for resistance. In-depth understanding of the driving forces behind selection can aid in the design and implementation of alternative treatments which limit the risk of resistance development.
抗生素耐药病原体的迅速增加严重限制了我们目前的治疗选择。赋予抗生素耐药性的耐药机制的一个重要子集具有公共效应,使原本敏感的细菌也能在抗生素治疗中存活下来。由于敏感细菌可以在不承担产生耐药机制的代谢成本的情况下在治疗中存活,它们在种群中的相对频率有可能增加,从而对抗耐药细菌进行选择。多项研究表明,这种对抗生素耐药性的选择改变取决于各种环境和治疗参数。在这篇综述中,我们全面概述了它们最重要的发现,并描述了影响耐药性选择的主要因素。深入了解选择背后的驱动力有助于设计和实施替代治疗方法,从而降低耐药性产生的风险。