Naringenin Decreases Progression of Atherosclerosis by Improving Dyslipidemia in High-Fat–Fed Low-Density Lipoprotein Receptor–Null Mice
Bibliographic record
Abstract
OBJECTIVE: Naringenin is a citrus flavonoid that potently inhibits the assembly and secretion of apolipoprotein B100-containing lipoproteins in cultured hepatocytes and improves the dyslipidemia and insulin resistance in a mouse model of the metabolic syndrome. In the present study, we used low-density lipoprotein receptor-null mice fed a high-fat diet (Western, TD96125) to test the hypothesis that naringenin prevents atherosclerosis. METHODS AND RESULTS: Three groups (chow, Western, and Western plus naringenin) were fed ad libitum for 6 months. The Western diet increased fasting plasma triglyceride (TG) (5-fold) and cholesterol (8-fold) levels compared with chow, whereas the addition of naringenin significantly decreased both lipids by 50%. The Western-fed mice developed extensive atherosclerosis in the aortic sinus because plaque area was increased by 10-fold compared with chow-fed animals. Quantitation of fat-soluble dye (Sudan IV)-stained aortas, prepared en face, revealed that Western-fed mice also had a 10-fold increase in plaque deposits throughout the arch and in the abdominal sections of the aorta, compared with chow. Atherosclerosis in both areas was significantly decreased by more than 70% in naringenin-treated mice. Consistent with quantitation of aortic lesions, the Western-fed mice had a significant 6-fold increase in cholesterol and a 4-fold increase in TG deposition in the aorta compared with chow-fed mice. Both were reduced more than 50% by naringenin. The Western diet induced extensive hepatic steatosis, with a 10-fold increase in both TG and cholesteryl ester mass compared with chow. The addition of naringenin decreased both liver TG and cholesteryl ester mass by 80%. The hyperinsulinemia and obesity that developed in Western-fed mice was normalized by naringenin to levels observed in chow-fed mice. CONCLUSIONS: These in vivo studies demonstrate that the citrus flavonoid naringenin ameliorates the dyslipidemia in Western-fed low-density lipoprotein receptor-null mice, leading to decreased atherosclerosis; and suggests a potential therapeutic strategy for the hyperlipidemia and increased risk of atherosclerosis associated with insulin resistance.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".