Vitamin D-binding protein is required for the maintenance of α-cell function and glucagon secretion
Bibliographic record
Abstract
ABSTRACT Vitamin D-binding protein (DBP) or GC-globulin carries vitamin D metabolites from the circulation to target tissues. DBP expression is highly-localized to the liver and pancreatic α-cells. While DBP serum levels, gene polymorphisms and autoantigens have all been associated with diabetes risk, the underlying mechanisms remain unknown. Here, we show that DBP regulates α-cell morphology, α-cell function and glucagon secretion. Deletion of DBP led to smaller and hyperplastic α-cells, altered Na + channel conductance, impaired α-cell activation by low glucose, and reduced rates of glucagon secretion. Mechanistically, this involved reversible changes in islet microfilament abundance and density, as well as changes in glucagon granule distribution. Defects were also seen in β-cell and δ-cell function. Immunostaining of human pancreata revealed generalized loss of DBP expression as a feature of late-onset and longstanding, but not early-onset type 1 diabetes. Thus, DBP is a critical regulator of α-cell phenotype, with implications for diabetes pathogenesis. HIGHLIGHTS DBP expression is highly-localized to mouse and human α-cells Loss of DBP increases α-cell number, but decreases α-cell size α-cells in DBP knockout islets are dysfunctional and secrete less glucagon DBP expression is decreased in α-cells of donors with late-onset or longstanding type 1 diabetes
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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) | 0.002 | 0.001 |
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".