Evidence map›Paper›PMID 33150163›Full record

ArticleMicrobial cell (Graz, Austria)2020

A novel antibacterial strategy: histone and antimicrobial peptide synergy.

Leora Duong, Steven P Gross, Albert Siryaporn

Open access · goldAbstract readComment
In one paragraph

Article in Microbial cell (Graz, Austria), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Chromatin-derived histone proteins fromFrontiers in cellular and infection microbiology · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Transcriptomic identification of genes expressed in invasiveFrontiers in cellular and infection microbiology · 2023
    Article
  9. Review
  10. Review
  11. Developing Antimicrobial Synergy With AMPs.Frontiers in medical technology · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Leora DuongDepartment of Molecular Biology & Biochemistry, UC Irvine, Irvine, CA 92697, USA.
Steven P GrossDepartment of Developmental and Cell Biology, UC Irvine, Irvine, CA 92697, USA.
Albert SiryapornDepartment of Molecular Biology & Biochemistry, UC Irvine, Irvine, CA 92697, USA.
University of California, Irvine · US

Funding

Real-time metabolic analysis of virulence activation in P. aeruginosa using fluorescence lifetime imaging microscopy (FLIM)R21AI139968 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI SIRYAPORN, ALBERT · 2019 to 2020
$382k
NIAID NIH HHS R21 AI139968
6 · The paper itself

Abstract

The rate at which antibiotics are discovered and developed has stagnated; meanwhile, antibacterial resistance continually increases and leads to a plethora of untreatable and deadly infections worldwide. Therefore, there is a critical need to develop new antimicrobial strategies to combat this alarming reality. One approach is to understand natural antimicrobial defense mechanisms that higher-level organisms employ in order to kill bacteria, potentially leading to novel antibiotic therapeutic approaches. Mammalian histones have long been reported to have antibiotic activity, with the first observation of their antibacterial properties reported in 1942. However, there have been doubts about whether histones could truly have any such role in the animal, predominantly based on two issues: they are found in the nucleus (so are not in a position to encounter bacteria), and their antibiotic activity

Indexed as

antibioticschromosome reorganizationinnate immunitymembrane pore stabilization

Identifiers

PMID33150163
PMCPMC7590529
OpenAlexW3095816599

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.