Caspase activation regulates the extracellular export of autophagic vacuoles
Bibliographic record
Abstract
The endothelium plays a central role in the regulation of vascular wall cellularity and tone by secreting an array of mediators of importance in intercellular communication. Nutrient deprivation of human endothelial cells (EC) evokes unconventional forms of secretion leading to the release of nanovesicles distinct from apoptotic bodies and bearing markers of multivesicular bodies (MVB). Nutrient deficiency is also a potent inducer of autophagy and vesicular transport pathways can be assisted by autophagy. Nutrient deficiency induced a significant and rapid increase in autophagic features, as imaged by electron microscopy and immunoblotting analysis of LC3-II/LC3-I ratios. Increased autophagic flux was confirmed by exposing serum-starved cells to bafilomycin A 1. Induction of autophagy was followed by indices of an apoptotic response, as assessed by microscopy and poly (ADP-ribose) polymerase cleavage in absence of cell membrane permeabilization indicative of necrosis. Pan-caspase inhibition with ZVAD-FMK did not prevent the development of autophagy but negatively impacted autophagic vacuole (AV) maturation. Adopting a multidimensional proteomics approach with validation by immunoblotting, we determined that nutrient-deprived EC released AV components (LC3I, LC3-II, ATG16L1 and LAMP2) whereas pan-caspase inhibition with ZVAD-FMK blocked AV release. Similarly, nutrient deprivation in aortic murine EC isolated from CASP3/caspase 3-deficient mice induced an autophagic response in absence of apoptosis and failed to prompt LC3 release. Collectively, the present results demonstrate the release of autophagic components by nutrient-deprived apoptotic human cells in absence of cell membrane permeabilization. These results also identify caspase-3 as a novel regulator of AV release.
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 | 0.001 |
| 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".