Evidence map›Paper›PMID 31279676›Full record

ReviewCell metabolism2019

Bacterial Metabolism and Antibiotic Efficacy.

Jonathan M Stokes, Allison J Lopatkin, Michael A Lobritz, James J Collins

Open access · hybridAbstract readReview
In one paragraph

Review in Cell metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 335 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
335citing papers in PubMed, 1 pooled it
40.9field-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

335 citing papers in PubMed, 1 synthesis or guideline pooled it, 586 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Thermal Shifts Dominate Single-Gene Responses to Transcription-Targeting Antibiotics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Metabolism-Based Biomarkers for Rapid Phenotypic Antibiotic Susceptibility Testing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  16. Article
  17. Article
  18. Article
  19. Redefining Antimicrobial Resistance inInternational journal of molecular sciences · 2026
    Review
  20. Article

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Jonathan M StokesInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Infectious Disease & Microbiome Program, Broad Institute of MIT & Harvard, Cambridge, MA 02142, USA; Machine Learning for Pharmaceutical Discovery and Synthesis Consortium, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Allison J LopatkinInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Infectious Disease & Microbiome Program, Broad Institute of MIT & Harvard, Cambridge, MA 02142, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA.
Michael A LobritzRoche Pharma Research and Early Development, Roche Innovation Center Basel, 4070 Basel, Switzerland.
James J CollinsInstitute for Medical Engineering & Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Infectious Disease & Microbiome Program, Broad Institute of MIT & Harvard, Cambridge, MA 02142, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA; Harvard-MIT Program in Health Sciences and Technology, Cambridge, MA 02139, USA. Electronic address: jimjc@mit.edu.
Broad Institute · USHarvard–MIT Division of Health Sciences and Technology · USRoche (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotics target energy-consuming processes. As such, perturbations to bacterial metabolic homeostasis are significant consequences of treatment. Here, we describe three postulates that collectively define antibiotic efficacy in the context of bacterial metabolism: (1) antibiotics alter the metabolic state of bacteria, which contributes to the resulting death or stasis; (2) the metabolic state of bacteria influences their susceptibility to antibiotics; and (3) antibiotic efficacy can be enhanced by altering the metabolic state of bacteria. Altogether, we aim to emphasize the close relationship between bacterial metabolism and antibiotic efficacy as well as propose areas of exploration to develop novel antibiotics that optimally exploit bacterial metabolic networks.

Indexed as

AnimalsAnti-Bacterial AgentsBacteriaHumansMicrobial Sensitivity TestsAnti-Bacterial Agentsantibiotic adjuvantsantibiotic mechanismantibiotic tolerancebacterial metabolism

Identifiers

PMID31279676
PMCPMC6990394
OpenAlexW2954214838

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.