n‐3 polyunsaturated fatty acids endogenously synthesized in fat‐1 mice are enriched in the mammary gland
Bibliographic record
Abstract
In this study, we determined the phospholipid FA composition in the mammary gland of the transgenic Fat-1 mouse. This is the first animal model developed that can endogenously synthesize n-3 PUFA. The synthesis of n-3 PUFA is achieved through the expression of the fat-1 transgene encoding for an n-3 desaturase from Caenorhabditis elegans, which utilizes n-6 PUFA as substrate. Wild-type and Fat-1 female mice were terminated at 7 wk of age and the fifth mammary gland was removed. Lipids were extracted and phospholipids were separated by TLC and converted to FAME for analysis by GC. There was no significant change in total saturated, monounsaturated, and PUFA composition. However, there was a significant increase in total n-3 PUFA and a corresponding decrease in n-6 PUFA. The major n-3 PUFA that were enriched included 20:5n-3 and 22:6n-3. The n-6 PUFA that were reduced included 20:4n-6, 22:4n-6, and 22:5n-6. Overall, these findings demonstrate that female Fat-i mice have elevated levels of n-3 PUFA in the mammary gland. Moreover, the n-3 desaturase products are the same n-3 PUFA found in fish oil, which have been shown to have chemoprotective properties against breast cancer. Therefore, this newly developed mouse model may be highly useful for investigating molecular and cellular mechanisms by which n-3 PUFA prevents and inhibits breast cancer growth.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".