ArticleMolecular biology reports2022
Expression pattern of drug-resistance genes ERG11 and TAC1 in Candida albicans Clinical isolates.
Article in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- ATR-FTIR spectroscopic markers indicating drug resistance in selected Candida strains.Scientific reports · 2025Article
- Article
- Molecular Evaluation of the mRNA Expression of theJournal of fungi (Basel, Switzerland) · 2024Article
- Antifungal Activity, Synergism with Fluconazole or Amphotericin B and Potential Mechanism of Direct Current againstAntibiotics (Basel, Switzerland) · 2024Article
- Review
- Combination of Farnesol with Common Antifungal Drugs: Inhibitory Effect againstMedicina (Kaunas, Lithuania) · 2023Article
- Anti-Biofilm Activity of Phenyllactic Acid against Clinical Isolates of Fluconazole-ResistantJournal of fungi (Basel, Switzerland) · 2023Article
- Molecular association ofFrontiers in cellular and infection microbiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCandida albicans (C. albicans) is an opportunistic fungus and the most common cause of vulvovaginal candidiasis (VVC). In recent years, the use of antifungal drugs has led to the incidence of drug-resistant C. albicans strains. The purpose of this study is twofold: to determine the pattern of drug susceptibility and the relationship between demographic factors and the incidence of drug resistance among C. albicans isolates and to investigate the expression pattern of drug-resistance genes ERG11 and TAC1 in C. albicans isolates. METHODS AND
resultsThis descriptive cross-sectional study was conducted on 50 C. albicans isolates from women with VVC. Antifungal susceptibility of the isolates was tested by M27-A3/S4 broth micro dilution method following the Clinical and Laboratory Standards Institute (CLSI) guidelines. High susceptibility rates were recorded for itraconazole and voriconazole (68%), followed by ketoconazole (46%). Fluconazole had the lowest susceptibility to C. albicans with susceptibility of 36%. The change in ERG11 and TAC1 genes expression was determined by qPCR. The mean ∆Ct values of ERG11 and TAC1genes were significantly different between fluconazole-resistant and susceptible groups (p < 0.001). Interestingly, we found that 77% of fluconazole-susceptible isolates had significantly upregulated ERG11 gene (2.9-99.0 fold). In addition, the expression of TAC1 was upregulated in 44% of fluconazole-susceptible isolates (3.86-89.8 fold).
conclusionOur finding revealed that incidence of drug resistance in C. albicans is not simply controlled by genes but is a multi-factorial phenomenon, where several factors and mechanisms are involved in the process of drug resistance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.