Evidence map›Paper›PMID 39918979›Full record

ArticleEvolution; international journal of organic evolution2025

Interactions within higher-order antibiotic combinations do not influence the rate of adaptation in bacteria.

Natalie Ann Lozano-Huntelman, Emoni Cook, Austin Bullivant, Nick Ida, April Zhou, Sada Boyd, Pamela J Yeh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Evolution; international journal of organic evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Natalie Ann Lozano-HuntelmanDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, United States.ORCID 0000-0001-8796-0001
Emoni CookDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, United States.
Austin BullivantDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, United States.
Nick IdaDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, United States.
April ZhouDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, United States.
Sada BoydDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, United States.
Pamela J YehDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Hellman FoundationNCATS NIH HHS UL1 TR001881NIH HHS UL1TR001881
6 · The paper itself

Abstract

The prevalence and strength of antibiotic resistance has led to an ongoing battle between the development of new treatments and the evolution of resistance. Combining multiple drugs simultaneously is a potential solution for combating antibiotic resistance. However, this approach introduces new factors that must be considered, including the influence of drug interactions on the rate of resistance evolution. When antibiotics are used in combination, their effects can be additive, synergistic, or antagonistic. In this study, we investigated the effect of higher-order interactions involving 3 drugs on resistance evolution in Staphylococcus epidermidis. Previous studies have shown that synergistic interactions can increase the adaptation rate. However, the effects of higher-order interactions on rates of adaptation are unclear. We investigated the adaptation of Staphylococcus epidermidis to single-, 2-, and 3-drug environments to assess how interactions within drug combinations influence the rate of adaptation. We analyzed both the overall interaction and emergent interaction, the latter being a unique interaction that occurs in 3-drug combinations due to the presence of all three drugs, rather than simply strong pairwise interactions. Our results show that neither the overall interactions nor the emergent interactions affect adaptation rates.

Indexed as

Adaptation, PhysiologicalAnti-Bacterial AgentsDrug Resistance, BacterialStaphylococcus epidermidisDrug InteractionsAnti-Bacterial Agentsantibiotic resistanceevolutionmulti-stressorrate of adaptation

Identifiers

PMID39918979
PMCPMC12081359

What OpenQuestion holds

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Registered trials

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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.