Tumor necrosis factor-α directly stimulates the overproduction of hepatic apolipoprotein B100-containing VLDL via impairment of hepatic insulin signaling
Bibliographic record
Abstract
Insulin-resistant states are commonly associated with both increased circulating levels of tumor necrosis factor (TNF)-alpha and hepatic overproduction of very low density lipoproteins (VLDL). Here, we provide evidence that increased TNF-alpha can directly stimulate the hepatic assembly and secretion of apolipoprotein B (apoB) 100-containing VLDL(1), using the Syrian golden hamster, an animal model that closely resembles humans in hepatic VLDL-apoB100 metabolism. In vivo TNF-alpha infusion for 4 h in chow-fed hamsters induced whole-body insulin resistance on the basis of euglycemic hyperinsulinemic clamp studies. Immunoprecipitation and immunoblotting analysis of livers from TNF-alpha-treated hamsters indicated decreased tyrosine phosphorylation of insulin receptor (IR)-beta, IR substrate-1 (Tyr), Akt (Ser(473)), p38, ERK1/2, and JNK but increased serine phosphorylation of IRS-1 (Ser(307)) and Shc. TNF-alpha infusion also significantly increased hepatic production of total circulating apoB100 and VLDL-apoB100 in both fasting and postprandial (fat load) states. Ex vivo experiments, using cultured primary hepatocytes from hamsters, also showed TNF-alpha-induced VLDL-apoB100 oversecretion, an effect that was blocked by TNF receptor 2 antibody. Unexpectedly, TNF-alpha decreased the sterol regulatory element-binding protein-1c mass and mRNA levels but significantly increased microsomal triglyceride transfer protein mass and mRNA levels in primary hepatocytes. In summary, these data provide direct evidence that TNF-alpha induces whole-body insulin resistance and impairs hepatic insulin signaling accompanied by overproduction of apoB100-containing VLDL particles, an effect likely mediated via TNF receptor 2.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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".