Alacalase‐Hydrolyzed Camellia Seed Hull Inhibited Angiotensin Converting Enzyme Activity and Lowered Blood Pressure in Spontaneous Hypertensive Rats
Bibliographic record
Abstract
High blood pressure is one of the major risk factors for various diseases and angiotensin‐converting enzyme (ACE) plays a critical role in the renin‐angiotensin‐aldesterone system; specifically, ACE can elevate blood pressure by converting decapeptide angiotensin I to oxtapeptide angiotensin II, a potent vasopressor. In our study, the responsive surface methodology was adopted to establish optimal Alcalase‐hydrolysis conditions of camellia seed hull against ACE activity. The optimum conditions are hydrolysis temperature of 50.98°C, Enzyme/Substrate ratio of 2.85%, and hydrolysis pH of 7.12. In an animal feeding study, SHRs were treated with either a low or high dose of hydrolysed C. japonica seed cake over 5 weeks. Even though SBP was not statistically different, the high dose of C. japonica hydrolysate lowered DBP (106±4.4 mmHg vs. 145±5.9 mmHg) at 5 th week. A similar trend was also observed in serum ACE activity. Lipid markers, (total plasma cholesterol, total plasma triacylglycerol, and plasma HDL cholesterol) were not influenced by the C. japonica hydrolysate. Considering that this camellia seed hull is a major resource of this plant, our study provides interesting preliminary data to utilize this plant for both academic and industrial applications. Support or Funding Information This research was supported by Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education (NRF‐2014R1A1A2058119).
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 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 | 0.001 |
| 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) | 0.002 | 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".