<i>Lactobacillus rhamnosus</i> cell-free extract targets virulence and antifungal drug resistance in <i>Candida albicans</i>
Bibliographic record
Abstract
Candidiasis caused by multidrug-resistant Candida species continues to be difficult to eradicate. The use of live probiotic bacteria has gained a lot of interest in the treatment of candidiasis; however, whole-cell probiotic use can often be associated with a high risk of sepsis. Strategies manipulating cell-free methods using probiotic strains could lead to the development of novel antifungal solutions. Therefore, we evaluated the effect of three probiotic cell-free extracts (CFEs) on the growth, virulence traits, and drug efflux pumps in C. albicans. On the basis of its minimum inhibitory concentration, Lactobacillus rhamnosus was selected and assessed against various virulence traits and drug resistance mechanisms. The results showed that L. rhamnosus CFE significantly inhibited hyphae formation and reduced secretion of proteinases and phospholipases. Moreover, L. rhamnosus inhibited the drug efflux proteins in resistant C. albicans strains thus reversing drug resistance. Gene expression data confirmed downregulation of genes associated with microbial virulence and drug resistance following treatment of C. albicans with L. rhamnosus CFE. Through gas chromatography – mass spectrometry chemical characterization, high contents of oleic acid (24.82%) and myristic acid (13.11%) were observed in this CFE. Collectively, our findings indicate that L. rhamnosus may potentially be used for therapeutic purposes to inhibit C. albicans infections.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".