ALLERGIC LUNG INFLAMMATION IN OFFSPRING OF PREGNANT MICE EXPOSED TO ORGANIC DUST
Bibliographic record
Abstract
Abstract The hygiene hypothesis shows that there is a strong correlation between microbial exposures in early life and the absence of allergies and asthma. However, studies also show that these same microbial exposures in early life can cause psychiatric and behavioral problems. Lipopolysaccharide (LPS), originating from microbes, is ubiquitous in animal holding facilities such as pig barns. The influence of CD34, an adhesion protein important in development of lung inflammation, in the association between microbial exposures and asthma, are not known, nor is the association between CD34 and behavior. We studied pulmonary immune responses and behavior of male and female offspring of wild-type and CD34−/− pregnant mice exposed to pig barn air for 4 hours/day for 5 days/week for 21 period of pregnancy. The ovalbumin protocol was used to induce asthmatic responses in the offspring. All OVA-treated CD34−/− and WT mice had more AhR, leukocytes and IL-4, IL-5, IL-6, and IL-13 compared to their respective controls (P<0.05) showing development of asthmatic response. All CD34−/− asthmatic as a group had lower AhR, total leukocytes and levels of IL-4, IL-5, IL-6, and IL-13 compared to WT asthmatic mice. However, CD34−/− and WT asthmatic females compared to CD34−/− and WT males asthmatic mice had higher AhR, total leukocytes and cytokine levels. Also, in the general activity in open field the asthmatic females had lower locomotion (P < 0.05) compared to the male asthmatic mice These data show that female offspring of those exposed to LPS-contaminated environment had higher degree of asthmatic lung responses and behavioral changes compared to the males affect females more frequently than males
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".