Evidence map›Paper›PMID 32867221›Full record

ReviewPharmaceuticals (Basel, Switzerland)2020

The Role of Proteomics in Bacterial Response to Antibiotics.

Foteini Tsakou, Rosa Jersie-Christensen, Håvard Jenssen, Biljana Mojsoska

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceuticals (Basel, Switzerland), 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
2.0field-weighted citation impact, top 13% 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, 48 citations in OpenAlex.

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  15. Article
  16. No Chance to Survive:Antibiotics (Basel, Switzerland) · 2023
    Article
  17. Article
  18. Article
  19. Review
  20. Evaluation of New Antimicrobial Agents Based onPharmaceuticals (Basel, Switzerland) · 2022
    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

4 authors at 1 institution in 1 country.

Foteini TsakouDepartment of Science and Environment, Roskilde University, 4000 Roskilde, Denmark.ORCID 0000-0003-4611-3177
Rosa Jersie-ChristensenDepartment of Science and Environment, Roskilde University, 4000 Roskilde, Denmark.
Håvard JenssenDepartment of Science and Environment, Roskilde University, 4000 Roskilde, Denmark.ORCID 0000-0003-0007-0335
Biljana MojsoskaDepartment of Science and Environment, Roskilde University, 4000 Roskilde, Denmark.ORCID 0000-0001-5901-7753
Roskilde University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For many years, we have tried to use antibiotics to eliminate the persistence of pathogenic bacteria. However, these infectious agents can recover from antibiotic challenges through various mechanisms, including drug resistance and antibiotic tolerance, and continue to pose a global threat to human health. To design more efficient treatments against bacterial infections, detailed knowledge about the bacterial response to the commonly used antibiotics is required. Proteomics is a well-suited and powerful tool to study molecular response to antimicrobial compounds. Bacterial response profiling from system-level investigations could increase our understanding of bacterial adaptation, the mechanisms behind antibiotic resistance and tolerance development. In this review, we aim to provide an overview of bacterial response to the most common antibiotics with a focus on the identification of dynamic proteome responses, and through published studies, to elucidate the formation mechanism of resistant and tolerant bacterial phenotypes.

Indexed as

antibiotic resistanceantibioticsantibiotic tolerancemulti-drug resistant bacteriapathogensproteomics

Identifiers

PMID32867221
PMCPMC7559545
OpenAlexW3047571227

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.