Temporal–Spatial Analysis of the Immune Response in a Murine Model of Ovalbumin-Induced Airways Inflammation
Bibliographic record
Abstract
The objective of this study was to define phenotypic changes of antigen-presenting cells (APCs) and T cells in a murine model of antigen-induced airways inflammation that involves intraperitoneal sensitization with ovalbumin (OVA)/adjuvant followed by antigen aerosolization. We investigated the APC and T-cell compartments both after sensitization (primary immune response) and after challenge (secondary immune response) at the thoracic lymph nodes (initiation site) and the lung (effector site). Our findings document a major cellular expansion in the lymph nodes after both sensitization and challenge. After sensitization, this expansion was comprised mainly of B cells, a considerable proportion of which expressed B7.2. At this time, T cells were markedly expanded and activated as assessed by CD69 expression; further, although GATA-3 and signal transducer and activator of transcription-6 were expressed at this time point, expression of interleukin (IL)-4, IL-5, and IL-13 messenger RNA (mRNA) levels were marginal. However, in vitro stimulation of lymph-node cells with OVA led to cytokine production. In contrast, 24 h after challenge, but not after sensitization, there was a major expansion of dendritic cells and macrophages in the lungs. This expansion was associated with enhanced expression of both B7.1 and B7.2. We also observed expansion of activated CD3(+)/CD4(+) T cells expressing the T helper-2-associated marker T1/ST2 in the lung, most notably 5 d after challenge. Further, IL-4, IL-5, and IL-13, but not interferon-gamma mRNA were expressed at high levels 3 h after challenge. This study helps to elucidate the "geography" of immune responses generated in a conventional murine model of allergic airways inflammation.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".