Gangliosides modulate the secretion of extracellular vesicles and their misfolded protein cargo
Bibliographic record
Abstract
Gangliosides are glycosphingolipids with important roles in cell signaling and neuroprotection. While present on extracellular vesicles (EVs)—key mediators of intercellular communication—their role in EV biogenesis remains unclear. Here, we identify gangliosides as key modulators of EV biogenesis, with the specific composition of their glycan headgroup and the presence or absence of sialic acid and N -acetyl- d -galactosamine residues dictating whether they promote or inhibit EV biogenesis. GM1 and other complex gangliosides enhance EV secretion, while disruption of ganglioside synthesis impairs it. GM1 supplementation restores EV secretion in Huntington’s disease (HD) fibroblasts and cell models with ganglioside deficiency, including models of neurodegenerative diseases caused by a genetic block of ganglioside synthesis. Notably, GM1 enhances EV-mediated secretion of pathogenic misfolded proteins, including mutant huntingtin (mHTT), α-synuclein, and tau, reducing intracellular burden and providing mechanistic insight into the mHTT-lowering effects of GM1 in HD models. Our findings shed light on the neuroprotective roles of gangliosides and their therapeutic potential in misfolded protein disorders.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 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".