Evidence map›Paper›PMID 36475750›Full record

ReviewmBio2023

Defining the Benefits of Antibiotic Resistance in Commensals and the Scope for Resistance Optimization.

Kristofer Wollein Waldetoft, Sarah Sundius, Rachel Kuske, Sam P Brown

Open access · goldAbstract readReview
In one paragraph

Review in mBio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
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  10. Review
  11. microLife · 2025
    Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Antibiotic resistance in bacterial communities.Current opinion in microbiology · 2023
    Review
  18. Article
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 1 institution in 1 country.

Kristofer Wollein Waldetoft *School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.
Sarah Sundius *Interdisciplinary Program in Quantitative Biosciences, Georgia Institute of Technology, Atlanta, Georgia, USA.
Rachel KuskeSchool of Mathematics, Georgia Institute of Technology, Atlanta, Georgia, USA.
Sam P BrownSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID 0000-0003-1892-9275
Georgia Institute of Technology · US

Funding

Metabolite sensing in a polymicrobial infectionR01DE020100 · NIDCR · UNIVERSITY OF TEXAS AT AUSTIN · PI WHITELEY, MARVIN · 2011 to 2022
$3.3M
NIDCR NIH HHS R01 DE020100
6 · The paper itself

Abstract

Antibiotic resistance is a major medical and public health challenge, characterized by global increases in the prevalence of resistant strains. The conventional view is that all antibiotic resistance is problematic, even when not in pathogens. Resistance in commensal bacteria poses risks, as resistant organisms can provide a reservoir of resistance genes that can be horizontally transferred to pathogens or may themselves cause opportunistic infections in the future. While these risks are real, we propose that commensal resistance can also generate benefits during antibiotic treatment of human infection, by promoting continued ecological suppression of pathogens. To define and illustrate this alternative conceptual perspective, we use a two-species mathematical model to identify the necessary and sufficient ecological conditions for beneficial resistance. We show that the benefits are limited to species (or strain) interactions where commensals suppress pathogen growth and are maximized when commensals compete with, rather than prey on or otherwise exploit pathogens. By identifying benefits of commensal resistance, we propose that rather than strictly minimizing all resistance, resistance management may be better viewed as an optimization problem. We discuss implications in two applied contexts: bystander (nontarget) selection within commensal microbiomes and pathogen treatment given polymicrobial infections.

Indexed as

BacteriaMicrobiotaAnti-Bacterial AgentsDrug Resistance, BacterialDrug Resistance, MicrobialHumansSymbiosisAnti-Bacterial Agentsantibiotic resistancebystander selectioncommensalscompetitive releaseecological interactionsmathematical modelingmicrobial dynamicsmicrobial ecologymicrobiomepolymicrobial infection

Identifiers

PMID36475750
PMCPMC9972992
OpenAlexW4310947232

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.