Evidence map›Paper›PMID 31419978›Full record

ArticleBMC complementary and alternative medicine2019

Antimicrobial characteristics of Berberine against prosthetic joint infection-related Staphylococcus aureus of different multi-locus sequence types.

Jiaqi Tan, Jin Wang, Chuang Yang, Chongzun Zhu, Geyong Guo, Jin Tang, Hao Shen

Open access · goldAbstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

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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

23 citing papers in PubMed, 63 citations in OpenAlex.

  1. Article
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  8. Review
  9. Berberine-styrene-RSC advances · 2024
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  16. Pharmacological Mechanisms of Shangke Huangshui against Skin and Soft Tissue Infection.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  17. Article
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  19. Antibacterial activity of a berberine nanoformulation.Beilstein journal of nanotechnology · 2022
    Article
  20. Article
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

7 authors at 1 institution in 1 country.

Jiaqi TanDepartment of Orthopaedics, Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai Jiao Tong University, Shanghai, 200233, China.
Jin WangDepartment of Orthopaedics, Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai Jiao Tong University, Shanghai, 200233, China.
Chuang YangDepartment of Orthopaedics, Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai Jiao Tong University, Shanghai, 200233, China.
Chongzun ZhuDepartment of Orthopaedics, Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai Jiao Tong University, Shanghai, 200233, China.
Geyong GuoDepartment of Orthopaedics, Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai Jiao Tong University, Shanghai, 200233, China.
Jin TangDepartment of Clinical Laboratory, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, 200233, China. tangjin6ph@163.com.
Hao ShenDepartment of Orthopaedics, Shanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai Jiao Tong University, Shanghai, 200233, China. shenhao7212@sina.com.ORCID http://orcid.org/0000-0002-8698-5079
Shanghai Jiao Tong University · CN

Funding

The National Natural Science Funds of China 81472108The National Natural Science Funds of China 81772364
6 · The paper itself

Abstract

backgroundStaphylococcal aureus (S. aureus) has become the leading causative pathogen of Prosthetic Joint Infection (PJI), which is the most devastating complication after arthroplasty surgeries. Due to the biofilm formation ability and emergence of multiple-drugs resistance strains of S. aureus, it has become an urgency to find new anti-staphylococcal agents to establish effective prophylaxis and treatment strategy for PJI. Extracted from a traditional Chinese herb, berberine is proved active in inhibiting S. aureus, while whether it exerts the same effect on PJI-related S. aureus remains unknown. This study aims to investigate the antimicrobial activity of berbrine against clinical derived PJI-related S. aureus and whether its inhibiting efficacy is associated with subtypes of S. aureus.

methodsEighteen PJI-associated S. aureus were collected and their Multi-locus Sequence Types (MLST) and susceptibility to berberine both in planktonic and biofilm form were investigated. Additionally, one S. aureus strain (ST1792) was selected from the group and its transcriptomic profiling in berberine incubation was performed. The statistical analyses were conducted using Student's t-test with SPSS 24.0(SPSS, IBM, USA). The data were expressed as the means ± standard deviation. Values of p < 0.05 were considered statistically significant.

resultsIt was found out that the Minimum Inhibitory Concentration values of PJI-related S. aureus varied in a broad range (from 64 to 512 μg/ml) among different MLST subtypes and the bacteria were able to regain growth after 24 h in berberine of MIC value or higher concentrations. In addition, sub-inhibitory concentrations of berberine surprisingly enhanced biofilm formation in some S. aureus strains.

conclusionTraditional medicine is utilised by a large number of individuals, which provides abundant resources for modern medical science. In our study, berberine was found bactericidal against PJI related S. aureus, however, its antibacterial property was impacted by the MLST subtypes of the bacteria, both in planktonic and biofilm growth forms.

Indexed as

Staphylococcus aureusAnti-Bacterial AgentsBerberineHumansMicrobial Sensitivity TestsMultilocus Sequence TypingProsthesis-Related InfectionsStaphylococcal InfectionsAnti-Bacterial AgentsBerberineBerberineBiofilmMulti-locus sequence typesProsthetic joint infectionStaphylococcal aureus

Identifiers

PMID31419978
PMCPMC6697971
OpenAlexW2968968811

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.