<i>Trans</i>10,<i>cis</i>15 18:2 Isolated from Beef Fat Does Not Have the Same Anti‐Adipogenic Properties as <i>Trans</i>10,<i>cis</i>12–18:2 in 3T3‐L1 Adipocytes
Bibliographic record
Abstract
During ruminal biohydrogenation of α-linolenic acid, a non-conjugated non-methylene interrupted dienoic acid is formed containing a t10 double bond, namely t10,c15-18:2. The present study was designed to examine whether t10,c15-18:2 would exert similar anti-adipogenic effects compared to t10,c12-18:2 in 3T3-L1 adipocytes. Differentiated 3T3-L1 adipocytes were treated with 35 or 70 µM of LNA, t10,c12-18:2, t10,c15-18:2, or bovine serum albumin (BSA) vehicle control for 120 h. Cellular triacylglycerol and protein were quantified using commercial colorimetric kits. Cells were analyzed for fatty acid composition and gene expression using gas chromatography and quantitative PCR, respectively. Trans10,cis12-18:2 decreased (P < 0.05) the adipocyte triacylglycerol (TAG) content, which was mainly related to a reduction in saturated fatty acids (SFA; e.g., 16:0 and 15:0) and cis monounsaturated fatty acids (c-MUFA; e.g., c9-16:1 and c9-18:1). Trans10,cis12 also decreased (P < 0.05) the expression of genes related to fatty acid synthesis (ACACA, FASN), delta-9 desaturation (SCD1), fatty acid elongation (ELOVL5), and fatty acid uptake (LPL) and upregulated (P < 0.05) the expression of the rate-liming enzyme involved in fatty acid β-oxidation (CPT1). In contrast, LNA and t10,c15-18:2 did not affect the gene expression and cellular content of the TAG, SFA, c-MUFA, or SCD1 indices in adipocytes. Our findings suggest that t10,c15-18:2, despite having structural similarity to t10,c12-18:2 (presence of a trans-10 double bond), does not exert anti-adipogenic effects in 3T3-L1 adipocytes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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; both teacher heads agree on what is shown here.
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".