Endosomal Proteolysis of Glucagon at Neutral pH Generates the Bioactive Degradation Product Miniglucagon-(19–29)
Bibliographic record
Abstract
We have investigated the proteolytic mechanisms of glucagon degradation within hepatic endosomes at neutral pH before lumen acidification. Hepatic endosomes incubated at neutral pH rapidly degraded native glucagon into 13 intermediate products, one of which corresponded to the bioactive fragment glucagon-(19-29) (miniglucagon). The serine protease inhibitor phenylmethylsulfonyl fluoride as well as the nonspecific protease inhibitor bacitracin inhibited the endosomal degradation of glucagon at pH 7. In purified endosomal fractions, miniglucagon endopeptidase was undetectable as evaluated by immunoblotting, and immunoprecipitation with antibodies to insulin-degrading enzyme, cathepsins B and D, or furin failed to remove the endosomal neutral glucagonase activity. Incubation of endosomal fractions and [125I]iodoglucagon with the zero-length bifunctional cross-linker 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide resulted in specific labeling of a 170-kDa polypeptide. The labeling was completely inhibited by unlabeled glucagon (IC50 value, 5 x 10-7 m) and bacitracin (IC50 value, 1 microg/ml), suggesting that it may correspond to a bacitracin-sensitive glucagon-degrading enzyme. Treatment of the 125I-labeled 170-kDa cross-linked polypeptide with N-glycanase demonstrated that the cross-linked complex contained approximately 30 kDa of N-linked oligosaccharides. Specific cross-linking of the 170-kDa polypeptide was also observed using [125I]Tyr12-miniglucagon as the radioligand. Together, these data suggest that the 170-kDa glycoprotein represents a novel glucagon-degrading activity that could mediate glucagon proteolysis within endosomes before the acidification step and generate the bioactive (19-29) miniglucagon peptide.
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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) | 0.001 | 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".