Evidence map›Paper›PMID 41313468›Full record

ArticleArchives of microbiology2025

Investigating in vitro antifungal mechanisms of geraniol against Candida albicans.

Jiayi Zhang, Shuang Xu, Jun Tian, Zhengkun Zhou

Abstract read
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In one paragraph

Article in Archives of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Jiayi Zhang *JSNU-UWM International Cooperation Joint Research Laboratory of Food Safety and Microbial Functional Genomics, School of Life Science, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, People's Republic of China.
Shuang Xu *JSNU-UWM International Cooperation Joint Research Laboratory of Food Safety and Microbial Functional Genomics, School of Life Science, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, People's Republic of China.
Jun TianJSNU-UWM International Cooperation Joint Research Laboratory of Food Safety and Microbial Functional Genomics, School of Life Science, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, People's Republic of China.
Zhengkun ZhouJSNU-UWM International Cooperation Joint Research Laboratory of Food Safety and Microbial Functional Genomics, School of Life Science, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, People's Republic of China. zzk114@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the antifungal mechanisms of geraniol against Candida albicans. Geraniol significantly inhibited growth and biofilm formation, with a minimum inhibitory concentration (MIC) of 0.5 µL/mL. At concentrations of 0.3, 0.45, and 0.6 µL/mL, geraniol substantially reduced biofilm biomass (P < 0.05). Microscopic analyses revealed apoptosis induction, membrane shrinkage, and structural damage. Mechanistically, geraniol disrupted cell membrane permeability, inhibited ergosterol synthesis, and downregulated the expression of key virulence genes (SAP5, SAP6, SAP7). These multifaceted mechanisms highlight geraniol as a promising antifungal candidate with potential clinical relevance in combating antifungal resistance. Future studies should include vivo validation to explore its therapeutic application.

Indexed as

Antifungal AgentsCandida albicansTerpenesAcyclic MonoterpenesBiofilmsCell Membrane PermeabilityErgosterolFungal ProteinsMicrobial Sensitivity TestsAcyclic MonoterpenesAntifungal AgentsErgosterolFungal ProteinsgeraniolTerpenesAntifungal mechanismApoptosisC. albicansGeraniol

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.