Antidepressants and Neuroinflammation: Can Antidepressants Calm Glial Rage Down?
Bibliographic record
Abstract
Neuroinflammation is traditionally defined as the brain's innate immune response and is also considered to be a glial-cell propagated inflammation. Increasing evidence indicates that neuroinflammation plays an important role in some cases of major depression and also that antidepressants possess anti-neuroinflammatory properties. Inhibition of neuroinflammation may represent a novel mechanism of action of antidepressant treatment. In vivo studies with animal models of neurological conditions have shown that various types of antidepressants exert inhibitory effects on the expression of inflammatory mediators, including cytokines, as well as on both microgliosis and astrogliosis in the inflamed CNS. In vitro studies using pathologically activated rodent microglia or mixed glial cells have demonstrated that various types of antidepressants diminish glial generation of inflammatory molecules. One of the most plausible mechanisms of such anti-neuroinflammatory efficacy of the drugs, as well as their antidepressant actions, seems to involve elevated intracellular cAMP levels. But the exact mechanism has still to be elucidated.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".