Evidence map›Paper›PMID 26016604›Full record

ReviewBiochemistry2015

Targets for Combating the Evolution of Acquired Antibiotic Resistance.

Matthew J Culyba, Charlie Y Mo, Rahul M Kohli

Abstract readReview
In one paragraph

Review in Biochemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 118 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Snapshots ofiScience · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Defense mechanisms ofFrontiers in antibiotics · 2024
    Review
  10. Article
  11. Retrospective Study onAntibiotics (Basel, Switzerland) · 2023
    Article
  12. Article
  13. Article
  14. Integration of molecular modelling andFrontiers in cellular and infection microbiology · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

3 authors at 1 institution in 1 country.

Matthew J Culyba
Charlie Y Mo
Rahul M Kohli
University of Pennsylvania · US

Funding

TRAINING PROGRAM IN CELL AND MOLECULAR BIOLOGYT32GM007229 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BARTOLOMEI, MARISA S. · 1985 to 2023
$14.0M
TRAINING PROGRAM/RHEUMATIC DISEASEST32AR007442 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI BEHRENS, EDWARD M, MERKEL, PETER A · 1986 to 2018
$5.8M
Combating Bacterial Drug Resistance by Targeting the Enzymes of EvolutionDP2GM105444 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI KOHLI, RAHUL MANU · 2012 to 2012
$2.2M
Doris Duke Charitable Foundation 2012071NCCDPHP CDC HHS DP2-GM105444NIAMS NIH HHS T32 AR007442NIGMS NIH HHS DP2 GM105444NIGMS NIH HHS T32 GM007229NIGMS NIH HHS T32 GM7229
6 · The paper itself

Abstract

Bacteria possess a remarkable ability to rapidly adapt and evolve in response to antibiotics. Acquired antibiotic resistance can arise by multiple mechanisms but commonly involves altering the target site of the drug, enzymatically inactivating the drug, or preventing the drug from accessing its target. These mechanisms involve new genetic changes in the pathogen leading to heritable resistance. This recognition underscores the importance of understanding how such genetic changes can arise. Here, we review recent advances in our understanding of the processes that contribute to the evolution of antibiotic resistance, with a particular focus on hypermutation mediated by the SOS pathway and horizontal gene transfer. We explore the molecular mechanisms involved in acquired resistance and discuss their viability as potential targets. We propose that additional studies into these adaptive mechanisms not only can provide insights into evolution but also can offer a strategy for potentiating our current antibiotic arsenal.

Indexed as

Drug Resistance, BacterialEvolution, MolecularModels, GeneticAnti-Bacterial AgentsGene Transfer, HorizontalGram-Negative BacteriaGram-Positive BacteriaHumansMutagenesisSOS Response, GeneticsAnti-Bacterial Agents

Identifiers

PMID26016604
PMCPMC4471857
OpenAlexW2274359377

What OpenQuestion holds

Textmetadata
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.