Stress and Cytokine-elicited Neuroendocrine and Neurotransmitter Sensitization: Implications for Depressive Illness
Bibliographic record
Abstract
Stressful events, by their effects on neurotransmitter and neuroendocrine processes, are thought to favor the development or exacerbation of depressive illness. In as much as immunological challenge, may provoke stressor-like neuroendocrine and central neurochemical changes, the view was offered that immune activation essentially acts like a stressor and may contribute to the evolution of affective illness. In this respect, viral and bacterial infections appear to influence behavioral/metabolic (e.g. fever, anorexia, somnolence) and neurotransmitter functioning through the release of cytokines, which act as messengers between the immune system and brain. The present report provides a brief overview of the neurochemical consequences of proinflammatory cytokine treatments, particularly the actions of interleukin (IL)-1beta and tumor necrosis factor-alpha. As well, synergy with psychogenic and neurogenic stressors are described, as are data showing that cytokines, like stressors, may have time-dependent proactive (sensitization) effects, so that reexposure to the treatments greatly augments hypothalamic-pituitary-adrenal activity, as well as central neurochemical changes. Indeed, the neurotransmitter alterations are not restricted to hypothalamic nuclei, but occur in several extrahypothalamic sites, including various limbic regions. It is suggested that by virtue of these neurochemical changes, cytokines may have both immediate and proactive effects on mood states.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".