Secretion of hepatocyte apoB is inhibited by the flavonoids, naringenin and hesperetin, via reduced activity and expression of ACAT2 and MTP
Bibliographic record
Abstract
The citrus flavonoids, naringenin and hesperetin, lower plasma cholesterol in vivo. However, the underlying mechanisms are not fully understood. The ability of these flavonoids to modulate apolipoprotein B (apoB) secretion and cellular cholesterol homeostasis was determined in the human hepatoma cell line, HepG2. apoB accumulation in the media decreased in a dose-dependent manner following 24-h incubations with naringenin (up to 82%, P < 0.00001) or hesperetin (up to 74%, P < 0.002). Decreased apoB secretion was associated with reduced cellular cholesteryl ester mass. Cholesterol esterification was decreased, dose-dependently, up to 84% (P < 0.0001) at flavonoid concentrations of 200 microM. Neither flavonoid demonstrated selective inhibition of either form of acyl CoA:cholesterol acyltransferase (ACAT) as determined using CHO cells stably transfected with either ACAT1 or ACAT2. However, in HepG2 cells, ACAT2 mRNA was selectively decreased (- 50%, P < 0.001) by both flavonoids, whereas ACAT1 mRNA was unaffected. In addition, naringenin and hesperetin decreased both the activity (- 20% to - 40%, P < 0.00004) and expression (- 30% to - 40%, P < 0.02) of microsomal triglyceride transfer protein (MTP). Both flavonoids caused a 5- to 7-fold increase (P < 0.02) in low density lipoprotein (LDL) receptor mRNA, which resulted in a 1.5- to 2-fold increase in uptake and degradation of (125)I-LDL. We conclude that both naringenin and hesperetin decrease the availability of lipids for assembly of apoB-containing lipoproteins, an effect mediated by 1) reduced activities of ACAT1 and ACAT2, 2) a selective decrease in ACAT2 expression, and 3) reduced MTP activity. Together with an enhanced expression of the LDL receptor, these mechanisms may explain the hypocholesterolemic properties of the citrus flavonoids.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".