Interactive Effects of a Social Stressor and Interleukin-6 Injection on Anxiety-Related Behaviors and Expression of Pro-Inflammatory Factors in Male CD-1 Mice
Bibliographic record
Abstract
Stressful events induce a range of neurochemical and endocrine changes as part of the brain’s adaptive response to such challenges. If the organism is repeatedly stressed, the development or exacerbation of psychopathologies, such as depression and anxiety, can ensue. A potential role for inflammatory factors in these disorders has emerged. In the present experiment, we investigated whether a challenge with interleukin (IL)-6, a pro-inflammatory cytokine commonly associated with depression, elicits anxiety-related behaviours and alters brain expression of inflammatory factors in CD-1 mice, and whether this differed based on the social stressor backdrop on which the cytokine was applied. The combination of an acute social stressor coupled with IL-6 injection enhanced expression of IL-1β, IL-6, and SOCS3 in a time- and brain region- dependent manner. The current results are consistent with the perspective that stress acts on the JAK/STAT pathway to enhance expression of certain pro-inflammatory factors, possibly leading to pathologies.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".