Bioactive composition, antimicrobial activities and the influence of Agrocybe aegerita (Brig.) Sing on certain quorum-sensing-regulated functions and biofilm formation by Pseudomonas aeruginosa
Bibliographic record
Abstract
Agrocybe aegerita (Brig.) Sing is a basidiomycete, white rot fungus. Antimicrobial activities and the antiqourum effect on Pseudomonas aeruginosa of an A. aegerita methanolic extract were investigated. The extract showed very good antimicrobial activity against all the tested microorganisms in a dose dependent manner. Effects of the Sub-MIC, MIC and 2MIC of the A. aegerita methanolic extract regulated the virulence factors in the quorum sensing (QS) test, as well as biofilm formation on P. aeruginosa. Sub-inhibitory and inhibitory concentrations of the extract demonstrated the reduction of virulence factors such as pyocyanin production, twitching and swimming motility. The biofilm forming capability of P. aeruginosa PAO1 was also reduced in a concentration-dependent manner. Furthermore, the chemical composition of the methanolic extract was determined considering its phenolic composition. The methanolic extract of A. aegerita can be a very good source of bioactive substances. This research is of great importance due to the prevalence of drug-resistant microorganisms.
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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 | 0.001 | 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".