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Bacterial metabolic state more accurately predicts antibiotic lethality than growth rate.
Lopatkin, Allison J; Stokes, Jonathan M; Zheng, Erica J; Yang, Jason H; Takahashi, Melissa K; You, Lingchong; Collins, James J.
Afiliación
  • Lopatkin AJ; Institute for Medical Engineering & Science and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Stokes JM; Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Zheng EJ; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
  • Yang JH; Institute for Medical Engineering & Science and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Takahashi MK; Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • You L; Machine Learning for Pharmaceutical Discovery and Synthesis Consortium, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Collins JJ; Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nat Microbiol ; 4(12): 2109-2117, 2019 12.
Article en En | MEDLINE | ID: mdl-31451773
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Viabilidad Microbiana / Bacterias Gramnegativas / Bacterias Grampositivas / Antibacterianos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nat Microbiol Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Viabilidad Microbiana / Bacterias Gramnegativas / Bacterias Grampositivas / Antibacterianos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nat Microbiol Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos