Cell surface glycosaminoglycans exacerbate plasma membrane perturbation induced by the islet amyloid polypeptide
Bibliographic record
Abstract
Glycosaminoglycans (GAGs) are long and unbranched anionic heteropolysaccharides that have been associated with virtually all amyloid deposits. Soluble sulfated GAGs are known for their propensity to promote the self-assembly of numerous amyloidogenic proteins and to modulate their cytotoxicity. Nonetheless, although GAGs are prevalent on the outer leaflet of eukaryotic cell plasma membrane as part of proteoglycans, their contributions in the perturbation of lipid bilayer induced by amyloid polypeptides remain unknown. Herein, we investigate the roles of GAGs in the cytotoxicity and plasma membrane perturbation induced by the islet amyloid polypeptide (IAPP), whose deposition in the pancreatic islets is associated with type II diabetes. Cellular assays using GAG-deficient cells reveal that GAGs exacerbate IAPP-induced cytotoxicity and permeabilization of the plasma membrane. Confocal microscopy and flow cytometry analyses show that IAPP sequestration at the cell surface is dependent of GAGs and of the aggregation propensity of the peptide. Using giant plasma membrane vesicles (GPMVs) prepared from GAG-deficient cells, we investigate the direct contributions of membrane-embedded proteoglycans in IAPP-induced membrane disassembly. In sharp contrast to soluble sulfated GAGs, kinetics of amyloid self-assembly expose that the presence of GAGs on GPMVs does not significantly modulate in vitro amyloid formation. Overall, this study indicates that cell surface GAGs increase the local concentration of IAPP in the vicinity of the plasma membrane, promoting lipid bilayer perturbation and cell death.
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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 | 0.001 | 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) | 0.001 | 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".