Evidence map›Paper›PMID 35552837›Full record

ArticleCurrent microbiology2022

Antimicrobial Mechanisms of Enterocin CHQS Against Candida albicans.

Qi Wang, Lei Pan, Ye Han, Zhijiang Zhou

Abstract read
PubMed Publisher
In one paragraph

Article in Current microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Microorganisms · 2026
    Review
  2. Review
  3. Review
  4. 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

4 authors at 1 institution in 1 country.

Qi WangSchool of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China.
Lei PanSchool of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China.
Ye HanSchool of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China. hanye@tju.edu.cn.
Zhijiang ZhouSchool of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China. zzj@tju.edu.cn.
Tianjin University · CN

Funding

Tianjin Key Research and Development Plan 19YFZCSN00100
6 · The paper itself

Abstract

Candida albicans is the most common fungal pathogen in hospital-acquired infections, which is extremely harmful to health. The increasing fungal infections is requiring the rapid development of novel antifungal agents. In this study, the antimicrobial activity of CHQS, an enterocin isolated from Enterococcus faecalis TG2 against C. albicans was confirmed by the minimum inhibitory concentration, minimum fungicidal concentration, and time-kill curve. Aniline blue and calcofluor white staining methods showed that CHQS remarkably affected β-1,3-glucan and chitin cell wall components and made cell wall more vulnerable. The C. albicans cell wall rupture and intracellular vacuolation were observed by TEM and SEM. Moreover, CHQS induced the accumulation of intracellular reactive oxygen species and decreased mitochondrial membrane potential. These results suggested that CHQS might have a complex multi-target antimicrobial mechanism against C. albicans. In addition, the use of CHQS combined with amphotericin B showed synergistic antimicrobial effects against C. albicans. In conclusion, enterocin CHQS, a natural product with antimicrobial effect, might has a bright future for the development of new antifungal drugs.

Indexed as

Antifungal AgentsCandida albicansAnti-Bacterial AgentsBridged-Ring CompoundsMicrobial Sensitivity TestsAnti-Bacterial AgentsAntifungal AgentsBridged-Ring Compoundsenterocin

Identifiers

PMID35552837
OpenAlexW4280557691

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.