Evidence map›Paper›PMID 39979446›Full record

ReviewNature reviews. Microbiology2025

The role of bacterial metabolism in antimicrobial resistance.

Mehrose Ahmad, Sai Varun Aduru, Robert P Smith, Zirui Zhao, Allison J Lopatkin

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
–field-weighted citation impact
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

76 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. CoFeMicroorganisms · 2026
    Article
  5. Review
  6. Article
  7. Callus Induction inPlants (Basel, Switzerland) · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Incidence of carbapenemase-resistant isolates ofNew microbes and new infections · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Metabolism-Based Biomarkers for Rapid Phenotypic Antibiotic Susceptibility Testing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review

16 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

5 authors.

Mehrose AhmadWeill Cornell Medical College, Cornell University, New York, NY, USA.
Sai Varun AduruDepartment of Chemical Engineering, University of Rochester, Rochester, NY, USA.
Robert P SmithCell Therapy Institute, Kiran Patel College of Allopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA.ORCID http://orcid.org/0000-0003-2744-7390
Zirui ZhaoDepartment of Microbiology and Immunology, University of Rochester Medical Center, Rochester, NY, USA.
Allison J LopatkinDepartment of Chemical Engineering, University of Rochester, Rochester, NY, USA. allison.lopatkin@rochester.edu.ORCID http://orcid.org/0000-0003-0018-9205

Funding

Determinants underlying horizontal gene transfer-mediated pathogen successR35GM150871 · NIGMS · UNIVERSITY OF ROCHESTER · PI Allison Lopatkin · 2023 to 2026
$1.7M
Does growth efficiency determine the inoculum effect?R15AI159902 · NIAID · NOVA SOUTHEASTERN UNIVERSITY · PI SMITH, ROBERT P · 2022 to 2022
$462k
NIAID NIH HHS R15 AI159902NIGMS NIH HHS R35 GM150871
6 · The paper itself

Abstract

The relationship between bacterial metabolism and antibiotic treatment is complex. On the one hand, antibiotics leverage cell metabolism to function. On the other hand, increasing research has highlighted that the metabolic state of the cell also impacts all aspects of antibiotic biology, from drug efficacy to the evolution of antimicrobial resistance (AMR). Given that AMR is a growing threat to the current global antibiotic arsenal and ability to treat infectious diseases, understanding these relationships is key to improving both public and human health. However, quantifying the contribution of metabolism to antibiotic activity and subsequent bacterial evolution has often proven challenging. In this Review, we discuss the complex and often bidirectional relationships between metabolism and the various facets of antibiotic treatment and response. We first summarize how antibiotics leverage metabolism for their function. We then focus on the converse of this relationship by specifically delineating the unique contribution of metabolism to three distinct but related arms of antibiotic biology: antibiotic efficacy, AMR evolution and AMR mechanisms. Finally, we note the relevance of metabolism in clinical contexts and explore the future of metabolic-based strategies for personalized antimicrobial therapies. A deeper understanding of these connections is crucial for the broader scientific community to address the growing crisis of AMR and develop future effective therapeutics.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialBacterial InfectionsHumansAnti-Bacterial Agents

Identifiers

PMID39979446
PMCPMC12173792

What OpenQuestion holds

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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.