Evidence map›Paper›PMID 29233945›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Resource limitation prevents the emergence of drug resistance by intensifying within-host competition.

Nina Wale, Derek G Sim, Matthew J Jones, Rahel Salathe, Troy Day, Andrew F Read

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.6field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
  2. Developmental synchrony and extraordinary multiplication rates in pathogenic organisms.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  3. Nutrient colimitation is a quantitative, dynamic property of microbial populations.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
  6. Within-Host Mathematical Models of Antibiotic Resistance.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Fighting microbial pathogens by integrating host ecosystem interactions and evolution.BioEssays : news and reviews in molecular, cellular and developmental biology · 2021
    Article
  19. Article
  20. Review
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

6 authors at 2 institutions in 2 countries.

Nina WaleCenter for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, University Park, PA 16802; nwale@umich.edu.ORCID 0000-0001-9703-444X
Derek G SimCenter for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, University Park, PA 16802.
Matthew J JonesCenter for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, University Park, PA 16802.
Rahel SalatheCenter for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, University Park, PA 16802.
Troy DayDepartment of Mathematics and Statistics, Queen's University, Kingston, ON K7L 3N6, Canada.
Andrew F ReadCenter for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, University Park, PA 16802.ORCID 0000-0001-7604-7903
Pennsylvania State University · USQueen's University · CA

Funding

The evolutionary biology of chemotherapy against infectious agents: towards ratiR01GM089932 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI READ, ANDREW F. · 2010 to 2013
$1.1M
NIGMS NIH HHS R01 GM089932
6 · The paper itself

Abstract

Slowing the evolution of antimicrobial resistance is essential if we are to continue to successfully treat infectious diseases. Whether a drug-resistant mutant grows to high densities, and so sickens the patient and spreads to new hosts, is determined by the competitive interactions it has with drug-susceptible pathogens within the host. Competitive interactions thus represent a good target for resistance management strategies. Using an in vivo model of malaria infection, we show that limiting a resource that is disproportionately required by resistant parasites retards the evolution of drug resistance by intensifying competitive interactions between susceptible and resistant parasites. Resource limitation prevented resistance emergence regardless of whether resistant mutants arose de novo or were experimentally added before drug treatment. Our work provides proof of principle that chemotherapy paired with an "ecological" intervention can slow the evolution of resistance to antimicrobial drugs, even when resistant pathogens are present at high frequencies. It also suggests that a broad range of previously untapped compounds could be used for treating infectious diseases.

Indexed as

Drug ResistanceHost-Parasite InteractionsMalariaModels, BiologicalMutationPlasmodium chabaudicombination therapycompetitiondrug resistanceevolutionary managementPlasmodium chabaudi

Identifiers

PMID29233945
PMCPMC5748215
OpenAlexW2771770118

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.