Literature DB >> 31451773

Bacterial metabolic state more accurately predicts antibiotic lethality than growth rate.

Allison J Lopatkin1,2,3, Jonathan M Stokes1,2,4, Erica J Zheng2,5, Jason H Yang1,2, Melissa K Takahashi1,6, Lingchong You7, James J Collins8,9,10,11,12,13.   

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.

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Year:  2019        PMID: 31451773      PMCID: PMC6879803          DOI: 10.1038/s41564-019-0536-0

Source DB:  PubMed          Journal:  Nat Microbiol        ISSN: 2058-5276            Impact factor:   17.745


  2 in total

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2.  The complex relationship between microbial growth rate and yield and its implications for ecosystem processes.

Authors:  David A Lipson
Journal:  Front Microbiol       Date:  2015-06-16       Impact factor: 5.640

  2 in total
  60 in total

Review 1.  Predictive biology: modelling, understanding and harnessing microbial complexity.

Authors:  Allison J Lopatkin; James J Collins
Journal:  Nat Rev Microbiol       Date:  2020-05-29       Impact factor: 60.633

Review 2.  For the Greater (Bacterial) Good: Heterogeneous Expression of Energetically Costly Virulence Factors.

Authors:  Kimberly M Davis
Journal:  Infect Immun       Date:  2020-06-22       Impact factor: 3.441

3.  Molecular reprogramming and phenotype switching in Staphylococcus aureus lead to high antibiotic persistence and affect therapy success.

Authors:  Markus Huemer; Srikanth Mairpady Shambat; Judith Bergada-Pijuan; Sandra Söderholm; Mathilde Boumasmoud; Clément Vulin; Alejandro Gómez-Mejia; Minia Antelo Varela; Vishwachi Tripathi; Sandra Götschi; Ewerton Marques Maggio; Barbara Hasse; Silvio D Brugger; Dirk Bumann; Reto A Schuepbach; Annelies S Zinkernagel
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-16       Impact factor: 11.205

Review 4.  Biology of antimicrobial resistance and approaches to combat it.

Authors:  Sarah M Schrader; Julien Vaubourgeix; Carl Nathan
Journal:  Sci Transl Med       Date:  2020-06-24       Impact factor: 17.956

5.  Membrane voltage dysregulation driven by metabolic dysfunction underlies bactericidal activity of aminoglycosides.

Authors:  Giancarlo Noe Bruni; Joel M Kralj
Journal:  Elife       Date:  2020-08-04       Impact factor: 8.140

6.  Measuring and modeling energy and power consumption in living microbial cells with a synthetic ATP reporter.

Authors:  Yijie Deng; Douglas Raymond Beahm; Steven Ionov; Rahul Sarpeshkar
Journal:  BMC Biol       Date:  2021-05-17       Impact factor: 7.431

7.  Clostridioides difficile Senses and Hijacks Host Heme for Incorporation into an Oxidative Stress Defense System.

Authors:  Reece J Knippel; Aaron G Wexler; Jeanette M Miller; William N Beavers; Andy Weiss; Valérie de Crécy-Lagard; Katherine A Edmonds; David P Giedroc; Eric P Skaar
Journal:  Cell Host Microbe       Date:  2020-06-10       Impact factor: 21.023

8.  Compensatory evolution of Pseudomonas aeruginosa's slow growth phenotype suggests mechanisms of adaptation in cystic fibrosis.

Authors:  Ruggero La Rosa; Elio Rossi; Adam M Feist; Helle Krogh Johansen; Søren Molin
Journal:  Nat Commun       Date:  2021-05-27       Impact factor: 14.919

9.  Modifying TIMER to generate a slow-folding DsRed derivative for optimal use in quickly-dividing bacteria.

Authors:  Pavan Patel; Brendan J O'Hara; Emily Aunins; Kimberly M Davis
Journal:  PLoS Pathog       Date:  2021-07-02       Impact factor: 6.823

10.  Cystic Fibrosis Sputum Impairs the Ability of Neutrophils to Kill Staphylococcus aureus.

Authors:  Kayla Fantone; Samantha L Tucker; Arthur Miller; Ruchi Yadav; Eryn E Bernardy; Rachel Fricker; Arlene A Stecenko; Joanna B Goldberg; Balázs Rada
Journal:  Pathogens       Date:  2021-06-04
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