Transcriptional and Non-transcriptional Regulation of Glucose Metabolism and Insulin Sensitivity through Vitamin D
Why this work is in the frame
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Bibliographic record
Abstract
Enormous progress in the investigation of vitamin D is currently being made from the perspective of basic science to clinical medicine. The typical view of vitamin D function limited to calcium metabolism and bone homeostasis has undergone extensive revision and it has been revealed that vitamin D receptors exist in most tissues of the body. Nowadays, one of the most popular aspects of vitamin D in research area is its role in glucose metabolism and insulin resistance. The functional mechanism of vitamin D in metabolism includes genomic and rapid non-genomic actions that are discussed in this review. Briefly, the modulatory action of vitamin D in the gene expression of insulin signaling compartments and secretion of insulin hormone may point to its role in the pathogenesis and development of type II diabetes. Vitamin D induced activation of the PI3K/AKT pathway is through PTEN-mediated AKT downregulation. Also, allelic variations in VDR and DBP might affect insulin secretion and diabetes occurrence. Vitamin D influences insulin secretion from β-cell through calcium-dependent endopeptidases, which promotes the conversion of pro-insulin to insulin; hence it can be declared that calcium and vitamin D are essential for insulin exocytosis. Hypovitaminosis D in obese individuals is also associated with higher levels of serum parathormone, through which this secondary hyperparathyroidism probably contributes to insulin resistance associated with obesity. Moreover, vitamin D is an immune modulator that may affect inflammation as a contributor to diabetes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it