Lysosomal cysteine proteases are mediators of cell death in macrophages following exposure to amorphous silica nanoparticles
Bibliographic record
Abstract
Increasing use of nanomaterials in everyday products such as cosmetics, medicines and food packaging is of grave concern given the lack of understanding with regards the impact such materials have on biological systems. The aim of this study is to examine cell death induced by cationic amorphous silica nanoparticles and determine the involvement of lysosomal cysteine proteases in this process. We report that multiple forms of cell death including apoptosis and pyroptosis are elicited following exposure to amorphous silica nanoparticles and that lysosomal cysteine proteases are involved in both cell death pathways in macrophages. Interestingly, lysosomal cysteine protease mRNA expression and release into the extracellular environment is induced following exposure to amorphous silica nanoparticles. Previously, the determination of nanoparticle-induced toxicity has focused on cytokine readouts, but the work presented here demonstrates that changes to normal protease biology should also be considered when evaluating the molecular mechanisms by which nanoparticulate matter causes cellular inflammation and death.
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 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".