Sex differences in the peripheral and central immune responses following lipopolysaccharide treatment in pubertal and adult CD‐1 mice
Bibliographic record
Abstract
Puberty is a critical developmental period that is characterized by significant brain development. Exposure to stress during this time can alter brain functioning setting the stage for long-lasting behavioural outcomes. The objective of this study was to investigate age and sex differences in the peripheral and central immune responses, along with sickness behaviour, following immune stress. The results showed that LPS treatment increased serum cytokine levels and sickness symptoms in all mice. Pubertal males displayed increased IL-1β concentrations at 2 h and increased IL-6 concentrations at 8 h post-treatment whereas increased concentrations of TNFα, IL-10, IL-12, IL-1β, IFNγ, and IL-6 persisted at 8 and 24 h in adult females. Consistent with peripheral cytokines, pubertal males displayed greater IL-1β, TNFα, and IL-6 mRNA expression in the prefrontal cortex at 2 h, whereas adult males expressed more of the aforementioned cytokines at 8 h compared to saline controls. Adult males also displayed greater IL-1β mRNA expression compared to their female counterparts, and adult females displayed greater TNFα mRNA expression compared to their male counterparts. These results not only provide a better understanding of the age and sex differences in acute immune response, but also show important region- and time-specific differences in the response to an immune challenge, and that the peripheral immune response differs from the central response. This highlights the need to examine immune markers in both the periphery and the central nervous system for an accurate depiction of acute immune response following an immune challenge.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".