Literature DB >> 32434280

Targeting evolution to inhibit antibiotic resistance.

Houra Merrikh1,2, Rahul M Kohli3,4.   

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.
© 2020 Federation of European Biochemical Societies.

Entities:  

Keywords:  Mfd; RpoS; SOS response; antibiotic resistance; evolution; mutagenesis; stress response; transcription-associated mutagenesis

Mesh:

Substances:

Year:  2020        PMID: 32434280      PMCID: PMC7578009          DOI: 10.1111/febs.15370

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  94 in total

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Journal:  Cell       Date:  2019-06-06       Impact factor: 41.582

Review 6.  Mobile Genetic Elements Associated with Antimicrobial Resistance.

Authors:  Sally R Partridge; Stephen M Kwong; Neville Firth; Slade O Jensen
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Journal:  PLoS Genet       Date:  2009-12-11       Impact factor: 5.917

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  6 in total

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2.  Evaluation of residue variability in a conformation-specific context and during evolutionary sequence reconstruction narrows drug resistance selection in Abl1 tyrosine kinase.

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Review 3.  Antimicrobial Resistance in Escherichia coli Strains Isolated from Humans and Pet Animals.

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Journal:  Antibiotics (Basel)       Date:  2021-01-13

4.  Mfd Affects Global Transcription and the Physiology of Stressed Bacillus subtilis Cells.

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6.  Host cell RecA activates a mobile element-encoded mutagenic DNA polymerase.

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  6 in total

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