Institute for Medical Engineering & Science and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nat Microbiol. 2019 Dec;4(12):2109-2117. doi: 10.1038/s41564-019-0536-0. Epub 2019 Aug 26.
Growth rate and metabolic state of bacteria have been separately shown to affect antibiotic efficacy. However, the two are interrelated as bacterial growth inherently imposes a metabolic burden; thus, determining individual contributions from each is challenging. Indeed, faster growth is often correlated with increased antibiotic efficacy; however, the concurrent role of metabolism in that relationship has not been well characterized. As a result, a clear understanding of the interdependence between growth and metabolism, and their implications for antibiotic efficacy, are lacking. Here, we measured growth and metabolism in parallel across a broad range of coupled and uncoupled conditions to determine their relative contribution to antibiotic lethality. We show that when growth and metabolism are uncoupled, antibiotic lethality uniformly depends on the bacterial metabolic state at the time of treatment, rather than growth rate. We further reveal a critical metabolic threshold below which antibiotic lethality is negligible. These findings were general for a wide range of conditions, including nine representative bactericidal drugs and a diverse range of Gram-positive and Gram-negative species (Escherichia coli, Acinetobacter baumannii and Staphylococcus aureus). This study provides a cohesive metabolic-dependent basis for antibiotic-mediated cell death, with implications for current treatment strategies and future drug development.
细菌的生长速度和代谢状态已被分别证明会影响抗生素的疗效。然而,这两者是相互关联的,因为细菌的生长本身就会带来代谢负担;因此,确定它们各自的贡献是具有挑战性的。事实上,更快的生长速度通常与更高的抗生素疗效相关;然而,代谢在这种关系中的并发作用尚未得到很好的描述。因此,对于生长和代谢之间的相互依存关系及其对抗生素疗效的影响,人们的理解还不够清晰。在这里,我们在广泛的偶联和非偶联条件下平行测量了生长和代谢,以确定它们对抗生素致死性的相对贡献。我们表明,当生长和代谢解偶联时,抗生素的致死性均匀地取决于治疗时细菌的代谢状态,而不是生长速度。我们进一步揭示了一个关键的代谢阈值,低于该阈值,抗生素的致死性可以忽略不计。这些发现对于包括九种代表性杀菌药物和多种革兰氏阳性和革兰氏阴性物种(大肠杆菌、鲍曼不动杆菌和金黄色葡萄球菌)在内的广泛条件都具有普遍性。这项研究为抗生素介导的细胞死亡提供了一个一致的代谢依赖性基础,对当前的治疗策略和未来的药物开发具有重要意义。