Evidence map›Paper›PMID 37406562›Full record

ReviewCurrent opinion in microbiology2023

The promise of copper ionophores as antimicrobials.

Henrik O'Brien, Talish Davoodian, Michael D L Johnson

Open access · hybridAbstract readReview
In one paragraph

Review in Current opinion in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. A First-In-Class Broad Spectrum Inhibitor of Copper Exporting PbioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Review
  7. 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 at 1 institution in 1 country.

Henrik O'BrienDepartment of Immunobiology, University of Arizona College of Medicine - Tucson, Tucson, AZ 85724, USA.
Talish DavoodianDepartment of Immunobiology, University of Arizona College of Medicine - Tucson, Tucson, AZ 85724, USA.
Michael D L JohnsonDepartment of Immunobiology, University of Arizona College of Medicine - Tucson, Tucson, AZ 85724, USA; Valley Fever Center for Excellence, University of Arizona College of Medicine - Tucson, Tucson, AZ 85724, USA; BIO5 Institute, University of Arizona College of Medicine - Tucson, Tucson, AZ 85724, USA; Asthma and Airway Disease Research Center, University of Arizona College of Medicine - Tucson, Tucson, AZ 85724, USA. Electronic address: mdljohnson@arizona.edu.
University of Arizona · US

Funding

Elucidating the Orchestrated Bacterial Response to Copper ToxicityR35GM128653 · NIGMS · UNIVERSITY OF ARIZONA · PI Michael David Leslie Johnson · 2018 to 2026
$4.0M
NIGMS NIH HHS R35 GM128653
6 · The paper itself

Abstract

Antibiotic-resistant microbe-mediated deaths are a major worldwide health issue. Unfortunately, due to microbial adaptation to develop resistance, some antibiotics are nullified early in their usage, and worse, resistance is detected before they can even be prescribed. Copper's toxicity since antiquity against microbes at the host-pathogen interface offers a fascinating weapon to fight antimicrobial resistance. Here, we briefly review why copper is so effective, how drugs that work with copper are effective antimicrobials, and how compounds such as these could reinvigorate investment in antimicrobial development.

Indexed as

Anti-Infective AgentsCopperAnti-Bacterial AgentsDrug Resistance, BacterialIonophoresAnti-Bacterial AgentsAnti-Infective AgentsCopperIonophores

Identifiers

PMID37406562
PMCPMC10529258
OpenAlexW4383031969

What OpenQuestion holds

Textmetadata
LicenceTDM
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.