Evidence map›Paper›PMID 26819677›Full record

ArticleACS medicinal chemistry letters2016

Anti-Staphylococcal Biofilm Effects of Human Cathelicidin Peptides.

Biswajit Mishra, Radha M Golla, Kyle Lau, Tamara Lushnikova, Guangshun Wang

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

46 citing papers in PubMed, 74 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Antibiofilm properties of cathelicidin LL-37: an in-depth review.World journal of microbiology & biotechnology · 2023
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Frontiers in cellular and infection microbiology · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  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

5 authors at 2 institutions in 1 country.

Biswajit MishraDepartment of Microbiology and Pathology, University of Nebraska Medical Center , 986495 Nebraska Medical Center, Omaha, Nebraska 68198-6495, United States.
Radha M GollaDepartment of Microbiology and Pathology, University of Nebraska Medical Center , 986495 Nebraska Medical Center, Omaha, Nebraska 68198-6495, United States.
Kyle LauDepartment of Microbiology and Pathology, University of Nebraska Medical Center , 986495 Nebraska Medical Center, Omaha, Nebraska 68198-6495, United States.
Tamara LushnikovaDepartment of Microbiology and Pathology, University of Nebraska Medical Center , 986495 Nebraska Medical Center, Omaha, Nebraska 68198-6495, United States.
Guangshun WangDepartment of Microbiology and Pathology, University of Nebraska Medical Center , 986495 Nebraska Medical Center, Omaha, Nebraska 68198-6495, United States.
Nebraska Medical Center · USUniversity of Nebraska Medical Center · US

Funding

Database designed novel anti-MRSA peptidesR01AI105147 · NIAID · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WANG, GUANGSHUN · 2015 to 2019
$1.9M
NIAID NIH HHS R01 AI105147
6 · The paper itself

Abstract

Staphylococcus aureus can live together in the form of biofilms to avoid elimination by the host. Thus, a useful strategy to counteract bacterial biofilms is to re-engineer human antimicrobial peptide LL-37 so that it can be used as a remedy for preventing and removing biofilms. This study reports antibiofilm effects of four human cathelicidin LL-37 peptides against community-associated and hospital isolated methicillin-resistant Staphylococcus aureus (MRSA) strains. Although the intact molecule LL-37 inhibited biofilm formation at low concentrations, it did not inhibit bacterial attachment nor disrupt preformed biofilms. However, two 17-residue peptides, GF-17 and 17BIPHE2, inhibited bacterial attachment, biofilm growth, and disrupted established biofilms. An inactive peptide RI-10 was used as a negative control. Our results obtained using the S. aureus mutants in a static biofilm model are consistent with the literature obtained in a flow cell biofilm model. Because 17BIPHE2 is the most effective biofilm disruptor with desired stability to proteases, it is a promising lead for developing new anti-MRSA biofilm agents.

Indexed as

17BIPHE2attachment mutantsBiofilmsGF-17LL-37Staphylococcus aureus

Identifiers

PMID26819677
PMCPMC4716589
OpenAlexW2295892146

What OpenQuestion 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 OpenQuestion graph.