Evidence map›Paper›PMID 28781980›Full record

ArticlePostdoc journal : a journal of postdoctoral research and postdoctoral affairs2017

Bacterial plasmid addiction systems and their implications for antibiotic drug development.

Jennifer Tsang

Open access · greenAbstract read
In one paragraph

Article in Postdoc journal : a journal of postdoctoral research and postdoctoral affairs, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Dual bacteriocin and extracellular vesicle-mediated inhibition ofApplied and environmental microbiology · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Co-Harboring of Beta-Lactamases andAntibiotics (Basel, Switzerland) · 2023
    Article
  7. Review
  8. Article
  9. Decreasing the abundance of tetracycline-resistantVeterinary and animal science · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. 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

1 author at 1 institution in 1 country.

Jennifer TsangBeth Israel Deaconess Medical Center, Boston, MA 02115, USA.
Beth Israel Deaconess Medical Center · US

Funding

Plasmid Eviction to Restore Susceptibility in Carbapenem-Resistant EnterobacteriaceaeR33AI119114 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI KIRBY, JAMES E · 2017 to 2019
$1.5M
Plasmid Eviction to Restore Susceptibility in Carbapenem-Resistant EnterobacteriaceaeR21AI119114 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI KIRBY, JAMES E · 2015 to 2016
$305k
NIAID NIH HHS R21 AI119114NIAID NIH HHS R33 AI119114
6 · The paper itself

Abstract

Bacteria frequently carry mobile genetic elements capable of being passed to other bacterial cells. An example of this is the transfer of plasmids (small, circular DNA molecules) that often contain antibiotic resistance genes from one bacterium to another. Plasmids have evolved mechanisms to ensure their survival through generations by employing plasmids segregation and replication machinery and plasmid addiction systems. Plasmid addiction systems utilize a post-segregational killing of cells that have not received a plasmid. In this review, the types of plasmid addiction systems are described as well as their prevalence in antibiotic resistant bacteria. Lastly, the possibility of targeting these plasmid addiction systems for the treatment of antibiotic resistant bacterial infections is explored.

Indexed as

antibioticsantimicrobial resistanceplasmidplasmid addiction systemtoxin-antitoxin system

Identifiers

PMID28781980
PMCPMC5542005
OpenAlexW2618236612

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.