Sex-related differences in allergen house dust mite-mediated changes in the lung proteome.
Bibliographic record
Abstract
<b>Introduction:</b> There are clear sex-related differences in the prevalence and severity in asthma, with women experiencing higher prevalence and severity in adults. However, sex dimorphism in allergen-mediated protein production in the lungs has not been completely defined. Therefore, in this study we comprehensively examined sex-related differences in allergen mediated protein profile using a murine model of airway inflammation. <b>Objective:</b> To characterize changes in the lung proteome in response to inhaled allergen house dust mite (HDM) in a mouse model of airway inflammation. <b>Methods:</b> Male and female BALB/c mice (7-8 weeks) were challenged with intranasal administration of 35uL of whole HDM extract (0.7mg/mL) in saline for 2 weeks. Lung tissues from naïve and HDM-challenged mice (n=5; per group per sex) collected 24h after last HDM challenge were used for quantitative proteomics with LC-MS/MS. Log2-transformed protein levels reported from mass spectrometry results were analyzed using linear models with terms for exposure, sex and their interaction. The interaction terms were then evaluated and summarized using volcano plots. <b>Results:</b> 2586 proteins were identified with high confidence by LC-MS/MS, of which 163 proteins were significantly different between males and females in response to HDM challenge. These 163 proteins provided insight into pathways that may contribute to underlying mechanisms of sex differences in asthma. <b>Conclusions:</b> HDM-mediated changes in the lung proteome reveal specific sex-related differences, which may be further targeted to unravel underlying mechanisms that contribute to sex disparity in asthma.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 teacher head, 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".