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Record W2791128600 · doi:10.1093/mmy/myx157

The effect of melatonin on antifungal susceptibility in planktonic and biofilm forms of<i>Candida</i>strains isolated from clinical samples

2017· article· en· W2791128600 on OpenAlexaboutno aff
Özge Kılınçel, Emel ÇALIŞKAN, İdris ŞAHİN, Cihadiye Elif Öztürk, Nida Kılıç, Şükrü Öksüz

Bibliographic record

VenueMedical Mycology · 2017
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsnot available
Fundersnot available
KeywordsBiofilmFluconazoleMicrobiologyMelatoninBroth microdilutionAntifungalBiologyMinimum inhibitory concentrationAntibioticsBacteria

Abstract

fetched live from OpenAlex

In recent years, the significant increase in the isolation of antifungal resistant Candida species in presence of biofilm, have made it necessary to develop alternative agents for the treatment of these infections. In this study, the effect of antifungal susceptibility of melatonin were investigated in planktonic and biofilm forms of Candida strains isolated from the clinical samples sent to our laboratory. Biofilm formation was determined by modified microplate method. In order to determine antifungal susceptibility in biofilm-forming strains, MIC was determined by broth microdilution method in planktonic form, and MBEC values by Calgary biofilm method in biofilm form. Susceptibility tests were repeated in the presence of melatonin. Antifungal susceptibility tests repeated with antifungals combined with melatonin showed a decrease in both MIC and MBEC values; melatonin was found to be more effective especially in planktonic forms. While the most effective combination was achieved with fluconazole in the planktonic form, no statistically significant difference was found between the combinations in biofilm form. As a result, melatonin was thought to be a new alternative in the treatment of Candida infections.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.351
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2017
Admission routes1
Has abstractyes

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