Evidence map›Paper›PMID 26100898›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Antibiotic efficacy is linked to bacterial cellular respiration.

Michael A Lobritz, Peter Belenky, Caroline B M Porter, Arnaud Gutierrez, Jason H Yang, Eric G Schwarz, Daniel J Dwyer, Ahmad S Khalil, James J Collins

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 424 papers.

0numbers the graph read from it
0cells of the map it votes in
424citing papers in PubMed
17.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

424 citing papers in PubMed, 766 citations in OpenAlex.

  1. Article
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  4. Thermal Shifts Dominate Single-Gene Responses to Transcription-Targeting Antibiotics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  15. Optimization of pediatric dosing regimens for aztreonam and amoxicillin/clavulanate combination therapy against multidrug-resistant bacteria.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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  16. Article
  17. Metabolism-Based Biomarkers for Rapid Phenotypic Antibiotic Susceptibility Testing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  18. Article
  19. Glycerol-Driven Energy and Proteostasis Underpin Antibiotic Tolerance inbioRxiv : the preprint server for biology · 2026
    Article
  20. Article

364 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Michael A LobritzWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115; Institute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139; Broad Institute of MIT and Harvard, Cambridge, MA 02139; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA 02114; Harvard Medical School, Boston, MA 02115; jimjc@mit.edu mlobritz@mgh.harvard.edu akhalil@bu.edu.
Peter BelenkyDepartment of Molecular Microbiology and Immunology, Brown University, Providence, RI 02912;
Caroline B M PorterInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139; Broad Institute of MIT and Harvard, Cambridge, MA 02139;
Arnaud GutierrezInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139; Broad Institute of MIT and Harvard, Cambridge, MA 02139;
Jason H YangInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139; Broad Institute of MIT and Harvard, Cambridge, MA 02139;
Eric G SchwarzDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA 02215;
Daniel J DwyerDepartment of Cell Biology and Molecular Genetics, Institute for Physical Science and Technology, Department of Biomedical Engineering, and Maryland Pathogen Research Institute, University of Maryland, College Park, MD 20742;ORCID http://orcid.org/0000-0002-0751-1116
Ahmad S KhalilWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115; Department of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA 02215; jimjc@mit.edu mlobritz@mgh.harvard.edu akhalil@bu.edu.
James J CollinsWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115; Institute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139; Broad Institute of MIT and Harvard, Cambridge, MA 02139; Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA 02139 jimjc@mit.edu mlobritz@mgh.harvard.edu akhalil@bu.edu.
Broad Institute · USBoston University · USBrown University · USUniversity of Maryland, College Park · US

Funding

Training Program in Chemistry-Interface with BiologyT32GM070421 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI HERGENROTHER, PAUL · 2005 to 2019
$5.4M
A Network Biology Approach to Antibiotic Action and Bacterial Defense MechanismsDP1OD003644 · OD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI COLLINS, JAMES J · 2007 to 2011
$4.1M
Howard Hughes Medical InstituteNIGMS NIH HHS T32 GM070421NIH HHS DP1 OD003644
6 · The paper itself

Abstract

Bacteriostatic and bactericidal antibiotic treatments result in two fundamentally different phenotypic outcomes--the inhibition of bacterial growth or, alternatively, cell death. Most antibiotics inhibit processes that are major consumers of cellular energy output, suggesting that antibiotic treatment may have important downstream consequences on bacterial metabolism. We hypothesized that the specific metabolic effects of bacteriostatic and bactericidal antibiotics contribute to their overall efficacy. We leveraged the opposing phenotypes of bacteriostatic and bactericidal drugs in combination to investigate their activity. Growth inhibition from bacteriostatic antibiotics was associated with suppressed cellular respiration whereas cell death from most bactericidal antibiotics was associated with accelerated respiration. In combination, suppression of cellular respiration by the bacteriostatic antibiotic was the dominant effect, blocking bactericidal killing. Global metabolic profiling of bacteriostatic antibiotic treatment revealed that accumulation of metabolites involved in specific drug target activity was linked to the buildup of energy metabolites that feed the electron transport chain. Inhibition of cellular respiration by knockout of the cytochrome oxidases was sufficient to attenuate bactericidal lethality whereas acceleration of basal respiration by genetically uncoupling ATP synthesis from electron transport resulted in potentiation of the killing effect of bactericidal antibiotics. This work identifies a link between antibiotic-induced cellular respiration and bactericidal lethality and demonstrates that bactericidal activity can be arrested by attenuated respiration and potentiated by accelerated respiration. Our data collectively show that antibiotics perturb the metabolic state of bacteria and that the metabolic state of bacteria impacts antibiotic efficacy.

Indexed as

Adenosine TriphosphateAnti-Bacterial AgentsBacteriaBacterial Physiological PhenomenaDrug InteractionsEscherichia coliMetabolomeMetabolomicsMicrobial Sensitivity TestsMicrobial ViabilityMutationOxygen ConsumptionStaphylococcus aureusAdenosine TriphosphateAnti-Bacterial Agentsantibioticscellular respirationE. colimetabolomicsS. aureus

Identifiers

PMID26100898
PMCPMC4500273
OpenAlexW1518907982

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.