Insulin-Mediated Suppression of Apolipoprotein B mRNA Translation Requires the 5‘ UTR and Is Characterized by Decreased Binding of an Insulin-Sensitive 110-kDa 5‘ UTR RNA-Binding Protein
Bibliographic record
Abstract
Insulin has been shown to acutely regulate hepatic apolipoprotein B (apoB) secretion at both translational and post-translational levels; however, mechanisms of apoB mRNA translational control are largely unknown. Recent studies of apoB untranslated regions (UTRs) revealed a potentially important role for cis-trans interactions at the 5' and 3' UTRs. In the present paper, deletion constructs of the UTR regions of apoB revealed that the 5' UTR was necessary and sufficient for insulin to inhibit synthesis of apoB15. Metabolic radiolabeling and in vitro translation experiments in the presence of protease inhibitors confirmed that the effect of insulin on the apoB 5' UTR was translational in nature. Using the nondenaturing electrophoretic mobility shift assay (EMSA), protein-RNA complexes were detected binding to the apoB 5' and 3' UTRs. Denaturing EMSA identified a 110-kDa protein interacting at the 5' UTR. Nondenaturing EMSA determined that insulin altered binding of large protein complexes to the 5' UTR. Binding specificity was determined by competition with both specific and nonspecific competitors. Insulin treatment decreased binding of the 110-kDa protein to the 5' UTR as visualized by EMSA. Absence of insulin increased binding of this trans-acting factor to the 5' UTR by 2-fold. Analysis of the 3' UTR showed no significant insulin-mediated changes in binding of trans-acting factors. We thus propose the existence of a novel RNA-binding insulin-sensitive factor that binds to the 5' UTR and may regulate apoB mRNA translation. Perturbations in hepatic insulin signaling as observed in insulin-resistant states may alter cis-trans interactions at the 5' UTR, leading to alterations in the rate of apoB mRNA translation, thus contributing to apoB-lipoprotein overproduction.
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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) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".