Processing of Pro-Islet Amyloid Polypeptide in the Constitutive and Regulated Secretory Pathways of β Cells
Bibliographic record
Abstract
Islet amyloid is a pathologic characteristic of the pancreas in type 2 diabetes comprised mainly of the beta-cell peptide islet amyloid polypeptide (IAPP; amylin). We used a pulse-chase approach to investigate the kinetics of processing and secretion of the IAPP precursor, proIAPP, in beta cells. By only 20 min after synthesis, a COOH-terminally processed proIAPP intermediate (approximately 6 kDa) was already present in beta cells. Formation of this NH2-terminally extended intermediate was not prevented by arresting secretory pathway transport at the trans-Golgi network (TGN) by either brefeldin A or temperature blockade, suggesting that this initial cleavage step occurs in the TGN before entry of (pro)IAPP into granules. Mature IAPP (approximately 4 kDa) was not detected until 60 min of chase, suggesting that NH2-terminal cleavage occurs in granules. Cells chased in low glucose without Ca2+ or with diazoxide, to block regulated release, secreted both proIAPP (approximately 8 kDa) and a partially processed form (approximately 6 kDa) via the constitutive secretory pathway. Stimulation of regulated secretion resulted in secretion primarily of mature IAPP as well as low levels of both unprocessed (approximately 8 kDa) and partially processed (approximately 6 kDa) proIAPP. We conclude that normal processing of proIAPP is a two-step process initiated by cleavage at its COOH terminus (likely by prohormone convertase 1/3 in the TGN) followed by cleavage at its NH2 terminus (by prohormone convertase 2 in granules) to form IAPP. Both proIAPP and its NH2-terminally extended intermediate appear to be normal secretory products of the beta cell that can be released via either the regulated or constitutive secretory pathways.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".