Nanoparticles and Viruses as Mitophagy Inducers in Immune Cells
Bibliographic record
Abstract
The use of nanoparticles (NPs) seems to make life easier. In medicine, for instance, nanoparticles are used for targeted treatments, either by surface targeting or by magnetic guidance. This is done by manipulating the size and characteristics of the particles while choosing the matrix constituents. Mitochondrial depolarization can induce lysosomal mitochondria alteration using a process called mitophagy. Mitophagy plays an essential role in mitochondrial homeostasis, regulating their size and quality. Mitophagy eliminates damaged mitochondria, which could be induced under diverse stress conditions including pathogens and biopersistent NPs. NPs can affect autophagy by signaling pathways or by gene/protein expression. Autophagy induction by NPs could be considered a degradation process of foreign or aberrant agents for cells, such as bacteria and virus. A better insight is also needed on how a cellular response could affect the final fate of NPs by providing a different route to transport NPs between distinct types of cell organelles.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".