Ca<sup>2+</sup> influx and cAMP elevation overcame botulinum toxin A but not tetanus toxin inhibition of insulin exocytosis
Bibliographic record
Abstract
Previous reports showed that cleavage of vesicle-associated membrane protein-2 (VAMP-2) and synaptosomal-associated protein of 25 kDa (SNAP-25) by clostridial neurotoxins in permeabilized insulin-secreting beta-cells inhibited Ca(2+)-evoked insulin secretion. In these reports, the soluble N-ethylmaleimide-sensitive factor attachment protein target receptor proteins might have formed complexes, which preclude full accessibility of the putative sites for neurotoxin cleavage. In this work, VAMP-2 and SNAP-25 were effectively cleaved before they formed toxin-insensitive complexes by transient transfection of insulinoma HIT or INS-1 cells with tetanus toxin (TeTx) or botulinum neurotoxin A (BoNT/A), as shown by immunoblotting and immunofluorescence microscopy. This resulted in an inhibition of Ca(2+) (glucose or KCl)-evoked insulin release proportionate to the transfection efficiency (40-50%) and an accumulation of insulin granules. With the use of patch-clamp capacitance measurements, Ca(2+)-evoked exocytosis by membrane depolarization to -10 mV was abolished by TeTx (6% of control) but only moderately inhibited by BoNT/A (30% of control). Depolarization to 0 mV to maximize Ca(2+) influx partially overcame BoNT/A (50% of control) but not TeTx inhibition. Of note, cAMP activation potentiated Ca(2+)-evoked secretion by 129% in control cells but only 55% in BoNT/A-transfected cells and had negligible effects in TeTx-transfected cells. These results indicate that, whereas VAMP-2 is absolutely necessary for insulin exocytosis, the effects of SNAP-25 depletion on exocytosis, perhaps on insulin granule pool priming or mobilization steps, could be partially reversed by higher levels of Ca(2+) or cAMP potentiation.
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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) | 0.001 | 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 | 0.001 |
| 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".