VIP reduction in the pancreas of F508del homozygous CF mice and early signs of Cystic Fibrosis Related Diabetes (CFRD)
Bibliographic record
Abstract
Vasoactive intestinal peptide (VIP), a 28-amino acid neuropeptide with potent anti-inflammatory, bronchodilatory and immunomodulatory functions, is secreted by intrinsic neurons innervating all exocrine glands, including the pancreas, in which it exerts a regulatory function in the secretion of insulin and glucagon. Cystic fibrosis-related diabetes (CFRD) is the most common co-morbidity associated with cystic fibrosis (CF), impacting approximately 50% of adult patients. We recently demonstrated a 50% reduction of VIP abundance in the lungs, duodenum and sweat glands of C57Bl/6 CF mice homozygous for the F508del-CFTR disease-causing mutation. VIP deficiency resulted from a reduction in VIPergic and cholinergic innervation, starting before signs of CF disease were observed. As VIP functions as a neuromodulator with insulinotropic effect on pancreatic beta cells, we sought to study changes in VIP in the pancreas of CF mice. Our goal was to examine VIP content and VIPergic innervation in the pancreas of 8- and 17-week-old F508del-CFTR homozygous mice and to determine whether changes in VIP levels would contribute to CFRD development. Our data showed that a decreased amount of VIP and reduced innervation are found in CF mice pancreas, and that these mice also exhibited reduced insulin secretion, up-regulation of glucagon production and high random blood glucose levels compared to same-age wild-type mice. We propose that low level of VIP, due to reduced innervation of the CF pancreas and starting at an early disease stage, contributes to changes in insulin and glucagon secretion that can lead to CFRD development.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".