Abstract 369: Naringenin Supplementation to a Chow Diet Reduces Plasma Lipids and Adiposity, and Suppresses Rer In <i> Ldlr <sup>-/-</sup> </i> Mice Fed a Chow Diet
Bibliographic record
Abstract
Previously, we have shown that intervention by the addition of the citrus flavonoid naringenin to a chow diet enhances the reversal of diet-induced metabolic dysregulation, obesity, and atherosclerosis. However, the metabolic effects of naringenin in the absence of obesity and metabolic dysregulation are unknown. In the present study, we assessed the effect of naringenin supplementation to a chow diet on plasma lipids, adiposity, respiratory exchange ratio (RER), ambulatory activity and tissue lipolysis. For 8 weeks, Ldlr -/- mice were fed an isoflavone-free chow diet supplemented with or without 3% naringenin. Over 8 weeks, there was no difference in caloric intake between the two groups. Naringenin supplementation reduced plasma VLDL-cholesterol (C) (-46%; P <0.05), VLDL-triglycerides (-43%; P <0.05), and LDL-C (-27%; P <0.05) compared to mice consuming chow alone. Chow-fed mice maintained body weight, whereas mice fed chow with naringenin were ~1.4 g lighter ( P <0.05) with significantly reduced adiposity (-48%; P <0.05). Histological analysis of epididymal white adipose tissue showed naringenin supplementation reduced adipocyte size and number. Between 6 and 8 weeks of diet, mice were assessed in metabolic cages. Naringenin supplementation had no effect on food intake, ambulatory activity or energy expenditure during both the light and dark cycles. Consistently, naringenin-treated mice had significantly lower RER compared to mice fed chow alone (0.97 vs 0.99; P <0.05). This difference was driven by a significant suppression in RER during the light cycle (0.96 vs 1.00; P <0.05), but not the dark cycle (0.97 vs 0.98 N.S ), suggesting an enhanced starvation response. Triglyceride lipolysis was highest in white adipose tissue, followed by liver and muscle. Naringenin supplementation to chow increased the lipolytic rate in adipose, but not in muscle or liver, suggesting reduced adiposity was related to increased expression of ATGL or HSL. In conclusion, compared to chow alone, naringenin supplementation reduced plasma lipids and decreased body weight via increased adipose tissue lipolysis and suppressed RER, with no change in energy expenditure.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".