Evidence map›Paper›PMID 32434280›Full record

ReviewThe FEBS journal2020

Targeting evolution to inhibit antibiotic resistance.

Houra Merrikh, Rahul M Kohli

Open access · bronzeAbstract readReview
In one paragraph

Review in The FEBS journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Snapshots ofiScience · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. The global RNA-RNA interactome ofProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Structural basis for regulation of SOS response in bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Article
  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

2 authors at 2 institutions in 1 country.

Houra MerrikhDepartment of Biochemistry, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0001-9956-9640
Rahul M KohliDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-7689-5678
University of Pennsylvania · USVanderbilt University · US

Funding

Mechanisms of antibiotic resistance development in bacterial pathogensR01AI127422 · NIAID · VANDERBILT UNIVERSITY · PI MERRIKH, HOURA · 2018 to 2021
$1.6M
The Molecular Basis for the Bacterial SOS SignalR01GM127593 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI KOHLI, RAHUL MANU, PETERSSON, ERNEST JAMES · 2018 to 2021
$1.2M
NIAID NIH HHS R01 AI127422NIGMS NIH HHS R01 GM127593
6 · The paper itself

Abstract

Drug-resistant bacterial infections have led to a global health crisis. Although much effort is placed on the development of new antibiotics or variants that are less subject to existing resistance mechanisms, history shows that this strategy by itself is unlikely to solve the problem of drug resistance. Here, we discuss inhibiting evolution as a strategy that, in combination with antibiotics, may resolve the problem. Although mutagenesis is the main driver of drug resistance development, attacking the drivers of genetic diversification in pathogens has not been well explored. Bacteria possess active mechanisms that increase the rate of mutagenesis, especially at times of stress, such as during replication within eukaryotic host cells, or exposure to antibiotics. We highlight how the existence of these promutagenic proteins (evolvability factors) presents an opportunity that can be capitalized upon for the effective inhibition of drug resistance development. To help move this idea from concept to execution, we first describe a set of criteria that an 'optimal' evolvability factor would likely have to meet to be a viable therapeutic target. We then discuss the intricacies of some of the known mutagenic mechanisms and evaluate their potential as drug targets to inhibit evolution. In principle, and as suggested by recent studies, we argue that the inhibition of these and other evolvability factors should reduce resistance development. Finally, we discuss the challenges of transitioning anti-evolution drugs from the laboratory to the clinic.

Indexed as

Anti-Bacterial AgentsBacterial InfectionsDrug Resistance, BacterialAnti-Bacterial Agentsantibiotic resistanceevolutionMfdmutagenesisRpoSSOS responsestress responsetranscription-associated mutagenesis

Identifiers

PMID32434280
PMCPMC7578009
OpenAlexW3026185102

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.