Evidence map›Paper›PMID 24427156›Full record

ReviewFrontiers in microbiology2013

Strategies and molecular tools to fight antimicrobial resistance: resistome, transcriptome, and antimicrobial peptides.

Letícia S Tavares, Carolina S F Silva, Vinicius C de Souza, Vânia L da Silva, Cláudio G Diniz, Marcelo O Santos

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.2field-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

27 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
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  5. Review
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  8. Review
  9. Article
  10. Evaluating Protein Transfer Learning with TAPE.Advances in neural information processing systems · 2019
    Article
  11. Article
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  14. Review
  15. Article
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  17. Frontiers in immunology · 2017
    Article
  18. Transcriptional Responses ofFrontiers in microbiology · 2017
    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

6 authors at 1 institution in 1 country.

Letícia S TavaresDepartment of Biology, University of Juiz de Fora Juiz de Fora, Brazil.
Carolina S F SilvaDepartment of Microbiology, Immunology and Infectious Diseases, University of Juiz de Fora Juiz de Fora, Brazil.
Vinicius C de SouzaDepartment of Biology, University of Juiz de Fora Juiz de Fora, Brazil.
Vânia L da SilvaDepartment of Microbiology, Immunology and Infectious Diseases, University of Juiz de Fora Juiz de Fora, Brazil.
Cláudio G DinizDepartment of Microbiology, Immunology and Infectious Diseases, University of Juiz de Fora Juiz de Fora, Brazil.
Marcelo O SantosDepartment of Biology, University of Juiz de Fora Juiz de Fora, Brazil.
Universidade Federal de Juiz de Fora · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing number of antibiotic resistant bacteria motivates prospective research toward discovery of new antimicrobial active substances. There are, however, controversies concerning the cost-effectiveness of such research with regards to the description of new substances with novel cellular interactions, or description of new uses of existing substances to overcome resistance. Although examination of bacteria isolated from remote locations with limited exposure to humans has revealed an absence of antibiotic resistance genes, it is accepted that these genes were both abundant and diverse in ancient living organisms, as detected in DNA recovered from Pleistocene deposits (30,000 years ago). Indeed, even before the first clinical use of antibiotics more than 60 years ago, resistant organisms had been isolated. Bacteria can exhibit different strategies for resistance against antibiotics. New genetic information may lead to the modification of protein structure affecting the antibiotic carriage into the cell, enzymatic inactivation of drugs, or even modification of cellular structure interfering in the drug-bacteria interaction. There are still plenty of new genes out there in the environment that can be appropriated by putative pathogenic bacteria to resist antimicrobial agents. On the other hand, there are several natural compounds with antibiotic activity that may be used to oppose them. Antimicrobial peptides (AMPs) are molecules which are wide-spread in all forms of life, from multi-cellular organisms to bacterial cells used to interfere with microbial growth. Several AMPs have been shown to be effective against multi-drug resistant bacteria and have low propensity to resistance development, probably due to their unique mode of action, different from well-known antimicrobial drugs. These substances may interact in different ways with bacterial cell membrane, protein synthesis, protein modulation, and protein folding. The analysis of bacterial transcriptome may contribute to the understanding of microbial strategies under different environmental stresses and allows the understanding of their interaction with novel AMPs.

Indexed as

antimicrobial peptidesgeneticmolecular modelingNGS applicationsresistometranscription

Identifiers

PMID24427156
PMCPMC3876575
OpenAlexW2041823979

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.