Early-life stress reduces viral lung infection severity in adult male rats, but not females 2286
Bibliographic record
Abstract
Abstract Description Impact of stress on immunity is increasingly recognized, especially in adults. Acute stress increases the innate inflammatory response, more in women than men, whereas chronic stress is linked to immunosuppression. Our group showed that early-life stress has long-term, sex-specific impacts on brain functions. However, few studies examine the long-term effects of early-life stress on adult immune response. The objective of this study was therefore to assess sex-specific impacts of neonatal stress on adult antiviral response using a neonatal maternal separation (NMS) rat model. Sprague Dawley pups were separated from their mother for 3h daily from postnatal days 3 to 12. At 8 weeks, rats were infected intranasally with Sendai virus. Viral load and acute inflammatory antiviral response was analyzed by flow cytometry at 4 days post-infection (DPI). Data from NMS rats were compared to controls. At 4 DPI, male NMS rats had lower viral loads, and recruitment of neutrophils and inflammatory macrophages than male CTRL rats and female NMS rats. Both male and female NMS rats showed lower proportions of interstitial macrophages compared to their non-stressed counterparts. Additionally, proportions of CD8+ and CD4+ T lymphocytes were higher in male CTRL rats than in female CTRL rats, and reduced in male SMN rats. Thus, early-life stress has a sex-specific impact on antiviral response later in life, while further research is needed to determine the underlying molecular mechanisms involved. Funding Sources Supported by Canadian Institutes of Health Research Topic Categories Viral Immunology (VIR)
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".