Evidence map›Paper›PMID 30800115›Full record

ArticleFrontiers in microbiology2019

The Antimicrobial Peptide lin-SB056-1 and Its Dendrimeric Derivative Prevent

Lucia Grassi, Giovanna Batoni, Lisa Ostyn, Petra Rigole, Sara Van den Bossche, Andrea C Rinaldi, Giuseppantonio Maisetta, Semih Esin, Tom Coenye, Aurélie Crabbé

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Recreating chronic respiratory infectionsEuropean respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  7. Article
  8. Biofilm · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Genomic and Metabolic Characteristics of the Pathogenicity inInternational journal of molecular sciences · 2021
    Review
  14. Review
  15. The Best Peptidomimetic Strategies to Undercover Antibacterial Peptides.International journal of molecular sciences · 2020
    Review
  16. The Anti-Microbial Peptide (Lin-SB056-1)Antibiotics (Basel, Switzerland) · 2020
    Article
  17. Review
  18. Review
  19. TargetingInternational journal of molecular sciences · 2019
    Article
  20. Review
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

10 authors at 3 institutions in 2 countries.

Lucia GrassiDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Giovanna BatoniDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Lisa OstynLaboratory of Pharmaceutical Microbiology, Ghent University, Ghent, Belgium.
Petra RigoleLaboratory of Pharmaceutical Microbiology, Ghent University, Ghent, Belgium.
Sara Van den BosscheLaboratory of Pharmaceutical Microbiology, Ghent University, Ghent, Belgium.
Andrea C RinaldiDepartment of Biomedical Sciences, University of Cagliari, Cagliari, Italy.
Giuseppantonio MaisettaDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Semih EsinDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Tom CoenyeLaboratory of Pharmaceutical Microbiology, Ghent University, Ghent, Belgium.
Aurélie CrabbéLaboratory of Pharmaceutical Microbiology, Ghent University, Ghent, Belgium.
Ghent University · BEUniversity of Pisa · ITUniversity of Cagliari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial peptides (AMPs) are promising templates for the development of novel antibiofilm drugs. Despite the large number of studies on screening and optimization of AMPs, only a few of these evaluated the antibiofilm activity in physiologically relevant model systems. Potent

Indexed as

3-D lung epithelial cell modelantimicrobial peptidesartificial wound modelbiofilmcombination treatmentdendrimeric peptidePseudomonas aeruginosa

Identifiers

PMID30800115
PMCPMC6376900
OpenAlexW2914176200

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.