Hepatocyte Nuclear Factor-4α Involved in Type 1 Maturity-Onset Diabetes of the Young Is a Novel Target of AMP-Activated Protein Kinase
Bibliographic record
Abstract
Mutations in the HNF4alpha gene are responsible for type 1 maturity-onset diabetes of the young (MODY1), which is characterized by a defect in insulin secretion. Hepatocyte nuclear factor (HNF)-4alpha is a transcription factor that plays a critical role in the transcriptional regulation of genes involved in glucose metabolism in both hepatocytes and pancreatic beta-cells. Recent evidence has implicated AMP-activated protein kinase (AMPK) in the modulation of both insulin secretion by pancreatic beta-cells and the control of glucose-dependent gene expression in both hepatocytes and beta-cells. Therefore, the question could be raised as to whether AMPK plays a role in these processes by modulating HNF-4alpha function. In this study, we show that activation of AMPK by 5-amino-4-imidazolecarboxamide riboside (AICAR) in hepatocytes greatly diminished HNF-4alpha protein levels and consequently downregulates the expression of HNF-4alpha target genes. Quantitative evaluation of HNF-4alpha target gene expression revealed diminished mRNA levels for HNF-1alpha, GLUT2, L-type pyruvate kinase, aldolase B, apolipoprotein (apo)-B, and apoCIII. Our data clearly demonstrate that the MODY1/HNF-4alpha transcription factor is a novel target of AMPK in hepatocytes. Accordingly, it can be suggested that in pancreatic beta-cells, AMPK also acts by decreasing HNF-4alpha protein level, and therefore insulin secretion. Hence, the possible role of AMPK in the physiopathology of type 2 diabetes should be considered.
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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".