Evidence map›Paper›PMID 38874884›Full record

ArticleMolecular biology reports2024

Berberine hydrochloride reduces staphyloxanthin synthesis by inhibiting fni genes in methicillin-resistant Staphylococcus aureus.

Mengyue Qiu, Zhen Xu

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Mengyue QiuDepartment of Sanitary Toxicology and Chemistry, Tianjin Medical University, Tianjin, 300070, China.
Zhen XuDepartment of Sanitary Toxicology and Chemistry, Tianjin Medical University, Tianjin, 300070, China. xuzhen@tmu.edu.cn.

Funding

Tianjin Municipal Science and Technology Commission 17JCYBJC43000
6 · The paper itself

Abstract

backgroundMethicillin-resistant Staphylococcus aureus (MRSA) poses a great health threat to humans. Looking for compounds that could reduce the resistance of S. aureus towards methicillin is an effective way to alleviate the antimicrobial resistance crisis. METHODS AND

resultsMinimum inhibitory concentration (MIC), minimum bactericidal concentration (MBC), Time-killing growth curve, staphyloxanthin and penicillin-binding protein 2a (PBP2a) were detected. A quantitative polymerase chain reaction was used to measure the effect of BBH on the gene transcription profiles of MRSA. The MIC of MRSA-ST59-t437 towards oxacillin was 8 µg/ml, and MBC was 128 µg/ml. After adding a sub-inhibitory concentration of BBH, the MIC and MBC of MRSA-ST59-t478 towards oxacillin went down to 0.125 and 32 µg/ml respectively. The amount of PBP2a and staphyloxanthin were reduced after treatment with BBH. Moreover, the transcription levels of sarA, mecA and fni genes were downregulated.

conclusionsIt is for the first time reported that BBH could inhibit staphyloxanthin synthesis by inhibiting fni gene. Moreover, fni might be the target gene of sarA, and there might be another regulatory pathway to inhibit staphyloxanthin biosynthesis. BBH could effectively reduce the methicillin resistance of MRSA-ST59-t437 by downregulating fni, sarA and mecA genes.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsBerberineMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsXanthophyllsGene Expression Regulation, BacterialOxacillinPenicillin-Binding ProteinsAnti-Bacterial AgentsBacterial ProteinsBerberineOxacillinPenicillin-Binding ProteinsstaphyloxanthinXanthophyllsBerberine hydrochloridefnimecAMRSAPBP2aStaphyloxanthin

Identifiers

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.