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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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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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