Evidence map›Paper›PMID 30134244›Full record

ReviewJournal of innate immunity2019

Design and Assessment of Anti-Biofilm Peptides: Steps Toward Clinical Application.

Melanie Dostert, Corrie R Belanger, Robert E W Hancock

Abstract readReview
In one paragraph

Review in Journal of innate immunity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
–field-weighted citation impact
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

59 citing papers in PubMed.

  1. Article
  2. Review
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  5. Current approaches to produce durable biomaterials: Trends in polymeric materials for restorative dentistry applications.Dental materials : official publication of the Academy of Dental Materials · 2024
    Review
  6. Article
  7. Article
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  9. Article
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  12. Review
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  15. Review
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  17. Review
  18. Impact of CRAMP-34 onFrontiers in cellular and infection microbiology · 2023
    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

3 authors.

Melanie DostertCentre for Microbial Diseases and Immunity Research, Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada.
Corrie R BelangerCentre for Microbial Diseases and Immunity Research, Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada.
Robert E W HancockCentre for Microbial Diseases and Immunity Research, Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada, bob@hancocklab.com.

Funding

CIHR FDN-154287
6 · The paper itself

Abstract

Highly antibiotic resistant, microbial communities, referred to as biofilms, cause various life-threatening infections in humans. At least two-thirds of all clinical infections are biofilm associated, and antibiotic therapy regularly fails to cure patients. Anti-biofilm peptides represent a promising approach to treat these infections by targeting biofilm-specific characteristics such as highly conserved regulatory mechanisms. They are being considered for clinical application and we discuss here key factors in discovery, design, and application, particularly the implementation of host-mimicking conditions, that are required to enable the successful advancement of potent anti-biofilm peptides from the bench to the clinic.

Indexed as

Anti-Bacterial AgentsAntimicrobial Cationic PeptidesBiofilmsCathelicidinsDrug CompoundingDrug DiscoveryHumansOligopeptidesPeptidesQuantitative Structure-Activity RelationshipAnti-Bacterial AgentsAntimicrobial Cationic PeptidesCathelicidinsDJK-5 peptideOligopeptidesPeptidesAnti-biofilm peptidesBiofilm infectionsPhysiologically relevant conditions

Identifiers

PMID30134244
PMCPMC6738209

What Socratic holds

Textmetadata
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 Socratic graph.