Dietary Fatty Acid Profile Influences Circulating and Tissue Fatty Acid Ethanolamide Concentrations in a Tissue-specific Manner in Male Syrian Hamsters (P08-016-19)
Bibliographic record
Abstract
To elucidate the impact of diet on fatty acid ethanolamide (FAE) levels in seven different tissues/organs of male hamsters, with the hypothesis that dietary fatty acids (DFA) will act as precursors for FAE synthesis in golden Syrian male hamsters. A two month feeding trial was performed, wherein hamsters (n = 105) were fed various dietary oil blends; namely, C + S, 25:75 corn oil: n9 safflower oil; F + S, 25:75 flaxseed oil: n6 safflower oil; H + DHA, 85:15 high oleic canola oil: docosahexaenoic acid; H + EPA, 85:15 high oleic canola oil: eicosapentaenoic acid; HOCO, high oleic canola oil; OO, olive oil; and RC, regular canola oil. Tissue fatty acid (FA) and FAE concentrations were assessed using GC-FID and UPLC-MS/MS, respectively. Results show that DFA directly influences tissue FA and FAE levels. After C18:1n9-enriched dietary treatments, marked increases (P < 0.05) were observed in duodenal C18:1n9 and oleoylethanolamide (OEA) concentrations. Overall, a weak negative association was observed between OEA concentrations and body weight (BW) at the endpoint, (r = –0.10216; P = 0.0070). Furthermore, among all tissues; namely, adipose tissue brown (ATB), adipose tissue white (ATW), brain, heart, intestine-duodenum (I-D), intestine-jejunum (I-J), and liver a negative correlation was observed between brain OEA concentrations and BW, (r = –0.22669; P = 0.0269). DFA composition influences FA and FAE levels across all tissues. Furthermore, we summarize that brain transmits anorexic properties mediated via neuronal signalling which may contribute to the maintenance of healthy body weight and that the benefits of OEA can be enhanced by the inclusion of C18:1n9-enriched diets. The Natural Sciences and Engineering Research Council of Canada supported this research.
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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 | 0.001 | 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) | 0.001 | 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".