Dietary n−3 FA modulate long and very long chain FA content, rhodopsin content, and rhodopsin phosphorylation in rat rod outer segment after light exposure
Bibliographic record
Abstract
A previous study has shown that the long and very long chain FA (VLCFA) content of the rat retina responds to changes in dietary n-6/n-3 ratio of the fat fed (1). The present study tested whether similar changes in these FA are associated with alterations in rhodopsin content and rhodopsin phosphorylation after light treatment. Weanling rats were fed diets containing 20% (w/w, 40% energy) fat with either high (4.8%, w/w) or low (1.2%, w/w) n-3 FA. After 6 wk of feeding, half of the animals in each group were exposed to light for 48 h at 350 lx or were kept in complete darkness. In the rod outer segment, the high n-3 diet treatment increased the level of 20:5n-3 and 22:6n-3 and reduced the levels of 20:4n-6 and 24:4n-6 in PC, PE, and PS. After the feeding of a high n-3 FA diet, total n-3 pentaenoic VLCFA from C24 to C34 increased in PC, whereas the n-6 tetra- and pentaenoic VLCFA decreased. No changes occurred in n-3 hexaenoic VLCFA regardless of the level of 22:6n-3 in the diet. After light exposure, animals fed a high n-3 FA diet showed reduction in 22:6n-3 as well as in n-6 and n-3 VLCFA in PC. FFA and TG fractions contained increased levels of both 20:4n-6 and 22:6n-3 after light exposure. Dark-adapted rhodopsin content and rhodopsin phosphorylation in the rod outer segment of rats fed the low n-3 FA diet were higher than in animals fed a high n-3 FA diet. After light exposure, animals fed the low n-3 FA diet lost more rhodopsin compared to animals fed the high n-3 FA diet, resulting in less phosphorylation of rhodopsin. Results indicate that the FA composition, rhodopsin content, and phosphorylation in visual cells is influenced by the dietary n-3 FA fed as well as by light exposure. The results also imply that 22:6n-3 may not be the precursor for synthesis of hexaenoic VLCFA.
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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 | 0.000 | 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 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".