α-Amylase inhibitory activity of some traditionally used medicinal species of Labiatae
Bibliographic record
Abstract
BACKGROUND: Natural α-amylase inhibitors of herbal origin are an attractive therapeutic approach to control post-prandial hyperglycemia via reducing the glucose release from starch and delaying carbohydrate absorption. These compounds are able to inhibit the activity of the carbohydrate hydrolyzing enzymes in the small intestine and potentially useful in control of diabetes. The enlarged Lamiaceae (Labiatae) family contains about 6,900 to 7,200 species worldwide and many species of this family possess medicinal properties and have been used traditionally for treatment of chronic illnesses including diabetes. METHODS: In the present study particular species of Labiatae family from the genera, Phlomis, Satureja, Salvia, Scutellarua, Stachys and Hymenocrater, which are growing wildly in Iran, selected to evaluate for possible in vitro α-amylase inhibitory activity, compared to acarbose as a positive control. RESULTS: The inhibitory activities of all the herbal extracts were varied from 1.9 to 18.6 (IC50, μg/mL). Additionally, the ethyl acetate extract of P. bruguieri (IC50 = 1.9 μg/mL) and the butanol extract of P. persica (IC50 = 3.6 μg/mL) exhibited the lowest IC50 values among all the species as the most potent herbal extracts, while the inhibitory activity of S. sahendica and S. macrosiphon (ethyl acetate extracts) as well as P. caucasica (butanol extract) on α-amylase enzyme was observed as weak and did not reach at least to the 50% of the enzyme inhibition level. CONCLUSIONS: Taking together, P. bruguieri and P. persica among the Phlomis species can be the promising sources of α-amylase inhibitors. However, P. rigida, S. bizantina and H. bituminosus that exhibited moderate activity can be stand on second level of interest.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".