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dc.contributor.authorLopatkin, Allison J
dc.contributor.authorStokes, Jonathan M
dc.contributor.authorZheng, Erica J
dc.contributor.authorYang, Jason H
dc.contributor.authorTakahashi, Melissa K
dc.contributor.authorYou, Lingchong
dc.contributor.authorCollins, James J
dc.date.accessioned2021-10-27T20:31:07Z
dc.date.available2021-10-27T20:31:07Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/136154
dc.description.abstract© 2019, The Author(s), under exclusive licence to Springer Nature Limited. Growth rate and metabolic state of bacteria have been separately shown to affect antibiotic efficacy1–3. However, the two are interrelated as bacterial growth inherently imposes a metabolic burden4; thus, determining individual contributions from each is challenging5,6. Indeed, faster growth is often correlated with increased antibiotic efficacy7,8; 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 lacking9. 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.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1038/S41564-019-0536-0en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePMCen_US
dc.titleBacterial metabolic state more accurately predicts antibiotic lethality than growth rateen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Synthetic Biology Center
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.relation.journalNature Microbiologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-08-25T17:36:25Z
dspace.orderedauthorsLopatkin, AJ; Stokes, JM; Zheng, EJ; Yang, JH; Takahashi, MK; You, L; Collins, JJen_US
dspace.date.submission2021-08-25T17:36:27Z
mit.journal.volume4en_US
mit.journal.issue12en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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