Evidence map›Paper›PMID 40119097›Full record

ArticleScientific reports2025

Emilia sonchifolia (L.) DC. inhibits the growth of Methicillin-Resistant Staphylococcus epidermidis by modulating its physiology through multiple mechanisms.

Lili An, Wei Peng, Yuqi Yang, Gongzhen Chen, Qian Tonghan Luo, Meng Ni, Xuebing Wang, Yufeng Fu, Yonghui Zhou, Xin Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Lili An *Dermatology Department, First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Wei Peng *College of Basic Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, Guizhou, China.
Yuqi YangCollege of Basic Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, Guizhou, China.
Gongzhen ChenDermatology Department, First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Qian Tonghan LuoCollege of Basic Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, Guizhou, China.
Meng NiDermatology Department, First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Xuebing WangCollege of Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Yufeng FuCollege of Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, China.
Yonghui ZhouCollege of Basic Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, Guizhou, China.
Xin LiuCollege of Basic Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, Guizhou, China. 342732230@qq.com.

Funding

Guizhou Provincial Department of Education, Young Science and Technology Talent Project Qiankehebasic-ZK [2022] General 501
6 · The paper itself

Abstract

Bloodstream infections (BSIs) are a public health concern, causing substantial morbidity and mortality. Staphylococcus epidermidis (S. epidermidis) is a leading cause BSIs. Antibiotics targeting S. epidermidis have been the mainstay of treatment for BSIs, however their efficacy is diminishing in combating with drug-resistant bacteria. Therefore, alternative treatments for antibiotic-resistant infections are urgently required. Studies have demonstrated that certain traditional Chinese medicine (TCM) exhibit notable antimicrobial activity and can help mitigate bacterial resistance. Among these, The ethanol extract of Emilia sonchifolia (L.) DC (E. sonchifolia) (10 g crude drug/1 g extract ) exhibits a noteworthy anti-methicillin-resistant S. epidermidis (MRSE) effect. This study explores antibacterial activity and underlying mechanisms of E. sonchifolia against MRSE. The antibacterial activity of E. sonchifolia against MRSE was assessed in vitro by measuring the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC). The MRSE-induced mouse BSIs model was used to evaluate the antibacterial activity of E. sonchifolia in vivo. Proteomic and transcriptomic analyses were performed to elucidate the underlying antibacterial mechanisms. The MIC and MBC values of E. sonchifolia against MRSE were 5 mg/mL and 20 mg/mL, respectively. In vivo, E. sonchifolia effectively treated MRSE-induced BSIs. Additionally, proteomic and transcriptomic analyses revealed considerable down-regulation of purine metabolism, that were associated with oxidative stress and cell wall synthesis. The enzyme linked immunosorbent assay(ELISA) results showed decreased levels of inosine monophosphate (IMP), Adenosine monophosphate(AMP) and guanine monophosphate (GMP), indicating inhibited purine metabolism. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) analysis confirmed bacterial cell wall damage. E. sonchifolia exerts antibacterial effects by inhibiting purine metabolism, promoting bacterial oxidative stress, and impairing cell wall synthesis. These findings provide novel insights into the mechanistic understanding of E. sonchifolia's efficacy against MRSE, offering potential strategies for managing MRSE infections.

Indexed as

Anti-Bacterial AgentsAsteraceaeMethicillin ResistancePlant ExtractsStaphylococcal InfectionsStaphylococcus epidermidisAnimalsMiceMicrobial Sensitivity TestsAnti-Bacterial AgentsPlant ExtractsBloodstream infectionsEmilia sonchifoliaMethicillin-resistant Staphylococcus epidermidisPurine metabolism

Identifiers

PMID40119097
PMCPMC11928732

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.