Early life stress increase LPS and Poly I:C mediated inflammatory response in adult males, but not females 3343
Bibliographic record
Abstract
Abstract Description In children, stressful events or abuse disrupt the development of the immune response. While the long-term consequences of early life stress on the cortisol response are sex-specific, there is limited knowledge on the impacts of stress on development of the immune responses in males and females. To test the hypothesis that early life stress induces sex-specific alterations of lung immune response, we used a well-established rat model of early life stress: neonatal maternal separation (NMS; 3h/ day from post-natal days 3 to 12). Lung inflammatory responses to either Poly I:C or LPS were assessed in adult rats of both sexes that were subjected to NMS or control conditions; we characterized the innate and adaptive immune cell subsets from broncho-alveolar lavage (BAL) and lung tissue using flow cytometry. NMS increased total BAL cell accumulation after LPS exposure, especially in male NMS, whereas after Poly I:C exposure, there was lower cell recruitment, markedly in female NMS. Following LPS exposure, male NMS had an increased neutrophilic inflammation whereas female NMS had higher proportion of alveolar macrophages. In lungs, proportion of natural killer cells (NK) increased in male NMS whereas proportion of T cells CD4+ was higher in female NMS following Poly I:C exposure. These results indicate that inflammatory immune responses are altered by NMS in a sex-specific manner, even though corticosterone dysregulation after NMS is only observed in males. Funding Sources Funding: CIHR, FRQS, Quebec Respiratory Health Network and Fondation IUCPQ. Topic Categories Innate Immune Responses and Host Defense: Cellular Mechanisms (INC)
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".