Fatty acid metabolism in rainbow trout (<i>Oncorhynchus mykiss</i>) tissues: differential incorporation of palmitate and oleate
Bibliographic record
Abstract
Total fatty acid (FA) fluxes of teleost have been well characterized, but the tissues incorporating FA from the circulation and the metabolic fate of these FA remain unclear. Our goals were to determine (i) the relative roles of different tissues in incorporating FA, (ii) the lipid pools that include FA (phospholipids (PL) or neutral lipids (NL)), and (iii) whether saturated and monounsaturated FA behave differently. Fatty acid incorporation was measured after administration of 1- 14 C-palmitate and 9,10- 3 H-oleate in rainbow trout (Oncorhynchus mykiss). Results show that FA incorporation varies tremendously among tissues and that the dominant physiological roles of palmitate and oleate are different. For all tissues, oleate is incorporated more rapidly than palmitate into NL (ratio oleate-palmitate 2.8 ± 0.3), showing that oleate plays a prominent role in energy metabolism. However, the two FA enter tissue PL to the same extent (incorporation ratio 1.0 ± 0.2), suggesting equal contributions to membrane turnover. This study reveals a novel aspect of the dominant role played by monounsaturates in energy metabolism: their preferential incorporation in triacylglycerol reserves.
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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) | 0.000 | 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 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".