Role of Site-Specific Asparagine Deamidation in Islet Amyloid Polypeptide Amyloidogenesis: Key Contributions of Residues 14 and 21
Bibliographic record
Abstract
Deamidation of an asparagine residue is a spontaneous non-enzymatic post-translational modification that results in the conversion of asparagine into a mixture of aspartic acid and isoaspartic acid. This chemical conversion modulates protein conformation and physicochemical properties, which could lead to protein misfolding and aggregation. In this study, we investigated the effects of site-specific Asn deamidation on the amyloidogenicity of the aggregation-prone peptide islet amyloid polypeptide (IAPP). IAPP is a 37-residue peptidic hormone whose deposition as insoluble amyloid fibrils is closely associated with type 2 diabetes. Asn residues were successively substituted with an Asp or isoAsp, and amyloid formation was evaluated by a thioflavin T fluorescence assay, circular dichroism spectroscopy, atomic force microscopy, and transmission electron microscopy. Whereas deamidation at position 21 inhibited IAPP conformational conversion and amyloid formation, the N14D mutation accelerated self-assembly and led to the formation of long and thick amyloid fibrils. In contrast, IAPP was somewhat tolerant to the successive deamidation of Asn residues 22, 31, and 35. Interestingly, a small molar ratio of IAPP deamidated at position 14 promoted the formation of nucleating species and the elongation from unmodified IAPP. Besides, using the rat pancreatic β cell line INS-1E, we observed that site-specific deamidation did not significantly alter IAPP-induced toxicity. These data indicate that Asn deamidation can modulate IAPP amyloid formation and fibril morphology and that the site of modification plays a critical role. Above all, this study reinforces the notion that IAPP amyloidogenesis is governed by precise intermolecular interactions involving specific Asn side chains.
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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".