Investigation of antimicrobial and anticancer activity of extracts obtained following UV application to Althaea officinalis L. callus cultures
Bibliographic record
Abstract
Althaea officinalis L., a plant of the Malvaceae family, is widely used in alternative medicine. The aim of this study is to cultivate the Althaea officinalis plant under in vitro conditions to create an appropriate callus regeneration protocol and investigate the antimicrobial and anticancer activities of methanol and ethyl acetate extracts of calli after UV-C application. Leaf, petiole, and root parts of A. officinalis plants germinated in a sterile environment were used as explant sources. Explants were cultured on MS medium containing different concentrations of 2,4-D (1, 2 mg/l) and BAP (0.25, 0.50, 0.75 mg/l). The most effective (100%) callus growth and callus weight (516.24±0.48 mg) was observed on petiole explants using MS medium containing 1 mg/l 2,4-D + 0.25 mg/l BAP. Calli obtained from leaf and petiole explants were exposed to UV-C treatment. Extractions of calli were carried out using methanol and ethyl acetate solutions. 1 mg/ml, 5 mg/ml, and 10 mg/ml solutions of methanol and ethyl acetate extracts were prepared and their antimicrobial activity on bacteria was investigated using the disc diffusion method for 7 different gram-positive and 9 different gram-negative bacteria. None of the three extract concentrations used had any antimicrobial activities. The anticancer activities of the extracts on SH-SY5Y human neuroblastoma cells were studied using the WST-1 viability kit. 1000, 500, 250, 125, and 62.5 µg/ml concentrations of ethyl acetate extracts of leaf and petiole calli had anticancer activity.
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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 | 0.001 |
| 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".