Evidence map›Paper›PMID 39602248›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Mutation-based mechanism and evolution of the potent multidrug efflux pump RE-CmeABC in

Lei Dai, Zuowei Wu, Orhan Sahin, Shaohua Zhao, Edward W Yu, Qijing Zhang

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Characterization of Antimicrobial Resistance inAntibiotics (Basel, Switzerland) · 2025
    Article
  9. The Global Challenge ofTropical medicine and infectious disease · 2025
    Review
  10. 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

6 authors.

Lei Dai *Department of Veterinary Microbiology and Preventive Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011.
Zuowei Wu *Department of Veterinary Microbiology and Preventive Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011.
Orhan SahinDepartment of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011.
Shaohua ZhaoCenter for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD 20708.
Edward W YuDepartment of Pharmacology, School of Medicine, Case Western Reserve University, Cleveland, OH 44106.ORCID 0000-0001-5912-1227
Qijing ZhangDepartment of Veterinary Microbiology and Preventive Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011.

Funding

Emerging multidrug resistance mechanisms in CampylobacterR01AI140669 · NIAID · IOWA STATE UNIVERSITY · PI YU, EDWARD W, ZHANG, QIJING · 2020 to 2024
$3.2M
HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R01AI140669NIAID NIH HHS R01 AI140669
6 · The paper itself

Abstract

The resistance-nodulation-cell division (RND) superfamily of multidrug efflux systems are important players in mediating antibiotic resistance in gram-negative pathogens.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsCampylobacter jejuniDrug Resistance, Multiple, BacterialEvolution, MolecularMembrane Transport ProteinsMutationAmino Acid SubstitutionCampylobacterCampylobacter InfectionsHumansPromoter Regions, GeneticAnti-Bacterial AgentsBacterial ProteinsMembrane Transport Proteinsantibiotic resistanceCampylobactergene editingmultidrug effluxpathogen evolution

Identifiers

PMID39602248
PMCPMC11665921

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.