Evidence map›Paper›PMID 23625222›Full record

ArticleJournal of microbiology (Seoul, Korea)2013

An aqueous extract of Yunnan Baiyao inhibits the quorum-sensing-related virulence of Pseudomonas aeruginosa.

Zu-Guo Zhao, Shuang-Shuang Yan, Yun-Mei Yu, Na Mi, La-Xi Zhang, Jun Liu, Xiao-Ling Li, Fang Liu, Jun-Fa Xu, Wei-Qing Yang and 1 more

Abstract read
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In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Zu-Guo ZhaoDepartment of Microbiology and Immunology, Guangdong Medical College, Zhanjiang 524023, P. R. China.
Shuang-Shuang Yan
Yun-Mei Yu
Na Mi
La-Xi Zhang
Jun Liu
Xiao-Ling Li
Fang Liu
Jun-Fa Xu
Wei-Qing Yang
Guo-Ming Li
Guangdong Medical College · CNCentral People's Hospital of Zhanjiang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Yunnan Baiyao is a famous Chinese medicine that has long been directly applied to wounds to reduce bleeding, pain, and swelling without causing infection. However, little is known about its ability to prevent infection. The present study aimed to assess in vitro the anti-virulence activity of an aqueous extract of Yunnan Baiyao (YBX) using Pseudomonas aeruginosa as a pathogenic model. We found that a sub-MIC (2.5 mg/ml) of YBX can efficiently interfere with the quorum-sensing (QS) signaling circuit. Real-time polymerase chain reaction analysis showed that a sub-MIC of YBX down-regulated the transcriptions of lasR, lasI, rhlR, and rhlI, which resulted in global attenuation of QS-regulated virulence activities, such as biofilm formation, and secretion of LasA protease, LasB elastase and pyocyanin. Further, YBX reduced the motility of P. aeruginosa related to QS, and impaired the formation of biofilms. These results suggest that YBX may possess global inhibitory activity against the virulence of P. aeruginosa and that YBX may also exhibit antimicrobial activity in vivo. The present study suggests that Yunnan Baiyao represents a potential source for isolating novel, safe, and efficacious antimicrobial agents.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsBiofilmsChinaDown-RegulationDrugs, Chinese HerbalGene Expression Regulation, BacterialPseudomonas aeruginosaQuorum SensingTranscription FactorsVirulence FactorsAnti-Bacterial AgentsBacterial ProteinsDrugs, Chinese HerbalTranscription FactorsVirulence Factorsyunnan baiyao

Identifiers

PMID23625222
OpenAlexW2024467293

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.