Study of Corylus cornuta twig extracts: antioxidant, radical scavenging, anti-enzymatic activities and cytotoxicity
Bibliographic record
Abstract
In a first attempt to better understand therapeutic uses of the forest species Corylus cornuta by Native People of Eastern Canada, antiradical/antioxidant, anti-enzymatic activities as well as cytotoxicity on Normal Human Keratinocytes (NHK) of C.cornuta twig extracts were studied and correlated with their polyphenolic composition. Polyphenolic extracts were obtained by water and ethanolic extractions using two different techniques: maceration and ultrasound-assisted extraction. Antiradical and antioxidant capacities of the extracts were evaluated against DPPH, TEAC, six ROS/RNS and peroxidation lipidic. Anti-enzymatic activities against enzymes involved in oxidation processes were evaluated towards catalase and xanthine oxidase. MTT and Neutral Red assays were used for evaluating the toxicity of the various extracts on NHK after 24 and 48h exposition times. Aqueous extracts were determined to have the highest antioxidant/antiradical capacity against two reactive species involved in inflammatory processes (superoxide anion and nitric oxide) and the lowest toxicity. Their antioxidant/antiradical activities were strongly correlated to their higher content in flavonoids. Ethanolic extracts were determined to have the highest anti-enzymatic activity correlated with their higher content in hydroxycinammic acids and proanthocyanidins. These extracts were also the most toxic, this toxicity correlating with their high level in total phenols. Given that aqueous extracts presented an elevated content in total phenols and flavonoids and showed the lowest toxicity on NHK as well as a high antiradical/antioxidant capacity, they can be considered as the most valuable extracts obtained from C.cornuta twigs, which is in harmony with traditional uses in which remedies are prepared from twig infusions.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 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".