Interaction of various intracellular signaling mechanisms involved in mononuclear phagocyte toxicity toward neuronal cells
Bibliographic record
Abstract
Microglia become activated in a wide range of neurodegenerative disorders, including Alzheimer's disease. Such activation may lead to autodestruction of neurons. It is demonstrated here that activation of both human microglia and monocytic THP-1 cells by a combination of lipopolysaccharide and interferon-gamma results in secretion of neurotoxins that kill human neuronal SH-SY5Y cells. This neurotoxicity can be partially blocked by inhibitors of cytosolic phospholipase A2, cGMP-selective phosphodiesterases, or protein kinase C. When combinations of these inhibitors, or combinations of an inhibitor plus nordihydroguaiaretic acid, or the nonsteroidal anti-inflammatory drug diclofenac were tried, additive reductions in neurotoxicity were observed. It is concluded that the stimulants activated multiple intracellular pathways, and that combination therapies inhibiting these pathways might be beneficial for treating neurodegenerative 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 | 0.001 | 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".