Abstract 686: Intervention with Naringenin Enhances Weight Loss, Potentiates Improvements in Metabolic Dysregulation and Halts Progression of Atherosclerosis Induced by a High-Fat Diet in LDLr-/- Mice.
Bibliographic record
Abstract
Previous studies demonstrate that the addition of naringenin, a grapefruit flavonoid, to a high-fat diet prevents the development of many disorders of the metabolic syndrome and atherosclerosis in Ldlr-/- mice. Furthermore, in intervention studies, the addition of naringenin to a high-fat, high cholesterol (HFHC) diet reversed pre-established obesity, hyperlipidemia, hepatic steatosis, insulin resistance and improved atherosclerotic lesion pathology, but not lesion size. In the present intervention study, we tested the hypothesis that addition of naringenin to a chow diet would further improve pre-established metabolic dysregulation and attenuate lesion development, compared to chow alone. Ldlr-/- mice were fed a HFHC diet for 12 weeks to induce metabolic dysregulation. Subsequently, mice received one of 3 diets for another 12 weeks: 1) continuation of the HFHC diet, 2) an isoflavone-free chow diet or 3) isoflavone-free chow with 3% naringenin. At 12 weeks, the HFHC diet induced significant weight gain and increased adiposity. Intervention with chow alone reduced the weight gained during induction by 22%, whereas the addition of naringenin to chow induced a weight loss of 71%. Specifically, the reduction in adiposity was 2.75-times greater in naringenin-treated mice, compared to chow alone. The HFHC diet increased VLDL cholesterol 20-fold and LDL cholesterol 5-fold, which were reduced by intervention with both chow (>60%) and chow supplemented with naringenin (>80%). The HFHC diet induced insulin resistance and glucose intolerance. Naringenin improved insulin tolerance (plasma glucose AUC -38%) and glucose tolerance (plasma glucose AUC -58%), which was accompanied by normalization of plasma insulin and glucose. HFHC-induction promoted the development of intermediate atherosclerotic lesions. Continuation of the HFHC diet doubled lesion size. Intervention with chow alone attenuated lesion size progression by 65%. The addition of naringenin to chow slowed lesion progression by 90%, resulting in smaller lesions compared to chow intervention alone (P=0.042). We conclude that intervention with naringenin-supplemented chow enhances weight loss, improves metabolic dysregulation and halts the progression of atherosclerosis.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".