Evidence map›Paper›PMID 30583527›Full record

ReviewMolecules (Basel, Switzerland)2018

Molecules that Inhibit Bacterial Resistance Enzymes.

Yuan Liu, Ruichao Li, Xia Xiao, Zhiqiang Wang

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Mayan Medicinal PlantsPlants (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
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  12. Article
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  14. Article
  15. Review
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  17. The Journal of organic chemistry · 2020
    Article
  18. Article
  19. 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

4 authors.

Yuan LiuInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China. liuyuan2018@yzu.edu.cn.
Ruichao LiInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China. rchl88@yzu.edu.cn.
Xia XiaoInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China. xiaoxia@yzu.edu.cn.
Zhiqiang WangInstitute of Comparative Medicine, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China. zqwang@yzu.edu.cn.

Funding

A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) 2018National Key Research and Development Program of China 2016YFD0501310
6 · The paper itself

Abstract

Antibiotic resistance mediated by bacterial enzymes constitutes an unmet clinical challenge for public health, particularly for those currently used antibiotics that are recognized as "last-resort" defense against multidrug-resistant (MDR) bacteria. Inhibitors of resistance enzymes offer an alternative strategy to counter this threat. The combination of inhibitors and antibiotics could effectively prolong the lifespan of clinically relevant antibiotics and minimize the impact and emergence of resistance. In this review, we first provide a brief overview of antibiotic resistance mechanism by bacterial secreted enzymes. Furthermore, we summarize the potential inhibitors that sabotage these resistance pathways and restore the bactericidal activity of inactive antibiotics. Finally, the faced challenges and an outlook for the development of more effective and safer resistance enzyme inhibitors are discussed.

Indexed as

Drug DiscoveryAnti-Bacterial AgentsBacteriaBacterial ProteinsDrug Resistance, BacterialEnzyme ActivationHydrolysisMolecular StructureAnti-Bacterial AgentsBacterial Proteinsantibiotic resistancebacterial enzymesmoleculestherapeutic potential

Identifiers

PMID30583527
PMCPMC6337270

What OpenQuestion holds

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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.