Chemical Composition and <i>in vitro </i>Anti-inflammatory Activity of Wheat Germ Oil Depending on the Extraction Procedure
Bibliographic record
Abstract
ry potential using proteinase and cyclooxygenase inhibitory assays 1,5,6) .According to Salehi et al. 7) , the mixture of avocado and soybean unsaponifiable lipids (Piascledine ® 300, France) is characterized by a potent anti-inflammatory effect and is recommended for the treatment of various autoimmune diseases such as arthritis.Wheat (Triticum aestivum L) germ is an important byproduct of wheat milling and its oil content ranged from 5.2 to 15.5％ 8) .Wheat germ oil is a rich source of health promoting compounds such as the essentials fatty acids and unsaponifiable lipids including tocopherols, phytosterols and policosanols.Different studies have shown that wheat germ oil possess various therapeutic proprieties like antihyperglycemic and antioxidant effects 8,9) .In addition, Hussein et al. 10) reported that wheat germ oil protects against lipid peroxidation and oxidative stress.The extraction of oil from germ is mostly done by mechanical pressing Abstract: This study aimed to examine the chemical composition of wheat germ oil extracted by three different methods, and to evaluate its inhibitory effect on the cyclooxygenase and proteinase activities.The results showed that the contents of policosanols, tocopherols and phytosterols were affected by the extraction procedure.However, the fatty acid composition of the different oil extracts was nearly the same.Among the tested oils samples, cold pressed oil exhibited the strongest inhibitory activity against proteinase (93.4%, IC 50 =195.7 µg/mL) and cyclooxygenase 1 (80.5%,IC 50 =58.6µg/mL).Furthermore, the cold pressed oil had the highest content of octacosanol, β-sitosterol and α-linolenic acid, suggesting that those bioactive compounds could be essential for the potent ani-cyclooxygenase activity.The present data revealed that wheat germ oil contained cyclooxygenase and trypsin inhibitors, which are the promising therapeutic target for the treatment of various inflammatory diseases.Thus, wheat germ oil might be used to develop functional foods and pharmaceutic products for the human health.
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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 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".