Investigation of Antioxidant, Anti‐Inflammatory, Antimicrobial, and Antigenotoxic Capacities, HPLC Phenolic Profile, and Computational Study of <i>Cistus albidus</i>
Bibliographic record
Abstract
ABSTRACT Natural products from flora possess bioactive constituents. This investigation evaluated the phenolic composition of the methanolic extract of Cistus albidus (CAME) from Algeria using HPLC and assessed its bioactivity. Key components of CAME were identified as rutin (24.03%), vanillic acid (15.22%), and myricetin (5.69%). The extract demonstrated antioxidant capabilities with an IC 50 of 37.28 µg/mL in DPPH assays and an EC 50 of 53.06 mg/mL in reducing power assays. In addition, the extract exhibited in vitro anti‐inflammatory properties with an IC 50 of 98.22 µg/mL. Antimicrobial evaluations indicated inhibition zones of 15.00–26.50 mm and MICs of 0.5–12.5 mg/mL against various Gram‐negative pathogens, particularly Escherichia coli and Proteus vulgaris . The antifungal activity was variable, with DZI values ranging from 11 to 23 mm, and Saccharomyces cerevisiae 9763 displayed the highest susceptibility. Genotoxicity evaluations affirmed the extract's safety, revealing no mutagenic properties and significant antigenotoxic activity (92% inhibition at 50 µg/test). Genotoxicity assays (Ames and SOS chromotests) validated CAME's non‐mutagenic profile and considerable antigenotoxic efficacy (92% inhibition). Furthermore, molecular docking analyses indicated that rutin interacts stably with E. coli gyrase B, potentially acting as a competitive ATP inhibitor with a binding energy of −7.56 kcal/mol. Moreover, rutin demonstrated notable stability within the active site of PDE4, an enzyme associated with anti‐inflammatory activities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".