Inhibition of Microsomal Triglyceride Transfer Protein Expression and Apolipoprotein B100 Secretion by the Citrus Flavonoid Naringenin and by Insulin Involves Activation of the Mitogen-Activated Protein Kinase Pathway in Hepatocytes
Bibliographic record
Abstract
Microsomal triglyceride transfer protein (MTP) is necessary for hepatocyte assembly and secretion of apolipoprotein (apo)B100-containing lipoproteins. The citrus flavonoid naringenin, like insulin, decreased MTP expression in HepG2 cells, resulting in inhibition of apoB100 secretion; however, the mechanism for naringenin is independent of insulin receptor substrate-1/2. Recently, it was reported that insulin decreased MTP expression in HepG2 cells via the mitogen-activated protein kinase (MAPK)/extracellular signal-regulated kinase (ERK) (MAPK(erk)) pathway. We hypothesized that naringenin acts via a similar mechanism. Inhibition of MAPK kinase (MEK) 1/2 in HepG2 cells significantly attenuated the naringenin- and insulin-induced reduction in MTP expression. Both naringenin and insulin increased ERK1/2 phosphorylation, which was completely inhibited by MEK1/2 inhibition and enhanced by inhibition of MAPK(p38), a negative regulator of MAPK(erk) activity. Inhibition of MEK1/2 significantly attenuated both the naringenin- and insulin-induced decrease in apoB100 secretion demonstrating a direct link between MAPK(erk) activation and apoB100 secretion. Furthermore, both compounds increased MAPK(p38) activation, and therefore inhibition of MAPK(p38) amplified thenaringenin- and insulin-induced decrease in apoB100 secretion. We conclude that MAPK(erk) signaling in hepatocytes is critical for inhibition of apoB100 secretion by naringenin and insulin. Therefore, naringenin may prove useful for activating insulin-signaling pathways important for regulation of hepatocyte lipid homeostasis.
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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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".