Evidence map›Paper›PMID 31383657›Full record

ReviewAntimicrobial agents and chemotherapy2019

Regulatory Mechanisms of the LuxS/AI-2 System and Bacterial Resistance.

Yang Wang, Baobao Liu, Daniel Grenier, Li Yi

Open access · bronzeAbstract readReview
In one paragraph

Review in Antimicrobial agents and chemotherapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

82 citing papers in PubMed, 174 citations in OpenAlex.

  1. Article
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  3. Fermentation-Derived 6-Shogaol fromInternational journal of molecular sciences · 2026
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22 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 2 countries.

Yang WangCollege of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China wangyocean@163.com lilili123168@163.com.
Baobao LiuCollege of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China.
Daniel GrenierGroupe de Recherche en Écologie Buccale, Faculté de Médecine Dentaire, Université Laval, Quebec City, Quebec, Canada.
Li YiCollege of Life Science, Luoyang Normal University, Luoyang, China wangyocean@163.com lilili123168@163.com.
Henan University of Science and Technology · CNLuoyang Institute of Science and Technology · CNLuoyang Normal University · CNUniversité Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quorum-sensing (QS) system is an intercellular cell-cell communication mechanism that controls the expression of genes involved in a variety of cellular processes and that plays critical roles in the adaption and survival of bacteria in their environment. The LuxS/AI-2 QS system, which uses AI-2 (autoinducer-2) as a signal molecule, has been identified in both Gram-negative and Gram-positive bacteria. As one of the important global regulatory networks in bacteria, it responds to fluctuations in the numbers of bacteria and regulates the expression of a number of genes, thus affecting cell behavior. We summarize here the known relationships between the LuxS/AI-2 system and drug resistance, discuss the inhibition of LuxS/AI-2 system as an approach to prevent bacterial resistance, and present new strategies for the treatment of drug-resistant pathogens.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsBiofilmsGene Expression Regulation, BacterialQuorum SensingAnti-Bacterial AgentsBacterial Proteinsbacterial resistancebiofilm formationefflux pumpLuxS/AI-2 system

Identifiers

PMID31383657
PMCPMC6761564
OpenAlexW2964546573

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.