Epicutaneous application of house dust mite induces allergic skin inflammation and atopic march to the lung upon airway allergen challenge
Bibliographic record
Abstract
Atopic dermatitis (AD) in infants is associated with increased risk of developing other allergic diseases, including asthma. This progression is known as atopic march (AM). We established a murine AM model by first inducing AD-like skin inflammation to house dust mite (HDM) allergen. Mice were subsequently challenged with HDM delivered to the lung. Our data show that epicutaneous sensitization with HDM increased serum IgE, ear thickness, and immune cell infiltration into the skin, accompanied by an increase in CD4 + tissue-resident memory T cells (Trm) in the lung. Following pulmonary HDM challenge, eosinophil influx and T2 inflammation were increased in the lung. Together, our data suggest communication between the skin and lung, where allergen sensitization on the skin increases lung Trm and amplifies the T2 allergic response to lung allergen challenge. This clinically relevant model could help identify novel targets for local interventions to reduce the progression of AD to asthma.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".