Evidence map›Paper›PMID 25818802›Full record

ReviewTrends in microbiology2015

Collateral sensitivity of antibiotic-resistant microbes.

Csaba Pál, Balázs Papp, Viktória Lázár

Open access · greenAbstract readReview
In one paragraph

Review in Trends in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed
16.3field-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

150 citing papers in PubMed, 290 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Resistance development in KPC-producingMicrobiology spectrum · 2026
    Article
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  7. Article
  8. Article
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  14. Article
  15. Article
  16. Antimicrobial agents and chemotherapy · 2025
    Article
  17. Article
  18. Article
  19. Review
  20. Article

90 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

3 authors at 1 institution in 1 country.

Csaba PálSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Center of the Hungarian Academy of Sciences, Szeged, Hungary. Electronic address: cpal@brc.hu.
Balázs PappSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Center of the Hungarian Academy of Sciences, Szeged, Hungary.
Viktória LázárSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Center of the Hungarian Academy of Sciences, Szeged, Hungary.
Hungarian Academy of Sciences · HU

Funding

European Research Council 648364Wellcome Trust 084314Wellcome Trust 098016
6 · The paper itself

Abstract

Understanding how evolution of microbial resistance towards a given antibiotic influences susceptibility to other drugs is a challenge of profound importance. By combining laboratory evolution, genome sequencing, and functional analyses, recent works have charted the map of evolutionary trade-offs between antibiotics and have explored the underlying molecular mechanisms. Strikingly, mutations that caused multidrug resistance in bacteria simultaneously enhanced sensitivity to many other unrelated drugs (collateral sensitivity). Here, we explore how this emerging research sheds new light on resistance mechanisms and the way it could be exploited for the development of alternative antimicrobial strategies.

Indexed as

Evolution, MolecularAnti-Bacterial AgentsBacteriaDirected Molecular EvolutionDrug Resistance, Multiple, BacterialGenome, BacterialMicrobial Sensitivity TestsMutationSequence Analysis, DNAAnti-Bacterial Agentsantibiotic resistancecollateral sensitivitycross-resistanceexperimental evolutionmultidrug resistance

Identifiers

PMID25818802
PMCPMC5958998
OpenAlexW2164782185

What OpenQuestion holds

Textmetadata
LicenceTDM
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.