Hypoglycemic activity in vivo and in vitro of the Lotus (Nelumbo nucifera Gaertn.) seed skin (testa) phenolic-rich extracts
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Lotus (Nelumbo nucifera Gaertn.) seed, a traditional Chinese herbal medicine, exhibits good hypoglycemic activities. However, the bioactive components that are responsible for the biological effects and their underlying mechanisms remain obscure. This study aimed to identify the bioactive components of lotus seed skin phenolic-rich extract (LSSE) and investigate their α-glucosidase inhibitory activity. In vivo study showed that LSSE could significantly decrease the fasting blood glucose levels and the area under the curves with dose-dependent manners in diabetes mellitus mice. And the α-glucosidase activity was decreased by 39.4% after intervention with LSSE. The results also demonstrated that LSSE possessed up to 77.53% rat intestinal maltase inhibitory activity and general sucrase and isomaltase inhibitory activity. A total of 38 phenolic compounds were first quantified in LSSE. Molecular docking analysis further revealed that the bioactive components in LSSE bind with α-glucosidase by hydrogen bonding Van der Waals and hydrophobic interactions. These results indicate the potential use of LSSE for natural hypoglycemic functional foods.
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.
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 | 0.001 |
| 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) | 0.000 | 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 it