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从培养皿到患者再到人群:推动抗生素耐药性的规模和进化机制。

From Petri Dishes to Patients to Populations: Scales and Evolutionary Mechanisms Driving Antibiotic Resistance.

机构信息

Departments of Biomedical Informatics and Microbiology, Harvard Medical School, Boston, Massachusetts, USA; email:

出版信息

Annu Rev Microbiol. 2024 Nov;78(1):361-382. doi: 10.1146/annurev-micro-041522-102707. Epub 2024 Nov 7.

Abstract

Tackling the challenge created by antibiotic resistance requires understanding the mechanisms behind its evolution. Like any evolutionary process, the evolution of antimicrobial resistance (AMR) is driven by the underlying variation in a bacterial population and the selective pressures acting upon it. Importantly, both selection and variation will depend on the scale at which resistance evolution is considered (from evolution within a single patient to the host population level). While laboratory experiments have generated fundamental insights into the mechanisms underlying antibiotic resistance evolution, the technological advances in whole genome sequencing now allow us to probe antibiotic resistance evolution beyond the lab and directly record it in individual patients and host populations. Here we review the evolutionary forces driving antibiotic resistance at each of these scales, highlight gaps in our current understanding of AMR evolution, and discuss future steps toward evolution-guided interventions.

摘要

应对抗生素耐药性带来的挑战需要了解其进化背后的机制。与任何进化过程一样,抗菌药物耐药性(AMR)的进化是由细菌种群中的潜在变异和对其起作用的选择压力驱动的。重要的是,选择和变异都将取决于耐药性进化所考虑的规模(从单个患者内的进化到宿主种群水平)。虽然实验室实验为抗生素耐药性进化的机制提供了基本的见解,但全基因组测序技术的进步现在使我们能够超越实验室,直接在个体患者和宿主群体中探测抗生素耐药性进化,并对其进行直接记录。在这里,我们综述了在这些不同规模上推动抗生素耐药性的进化力量,强调了我们目前对抗生素耐药性进化理解的差距,并讨论了朝着基于进化的干预措施迈出的未来步骤。

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