Alveolar macrophages of allergic resistant and susceptible strains of rats show distinct cytokine profiles
Bibliographic record
Abstract
Brown Norway rats are widely used as a model of asthma, whereas Sprague Dawley rats do not develop allergic reactions under the same conditions. Given the importance of alveolar macrophages (AM) in down-regulating cellular immune responses in the lung, we postulated that the different susceptibilities in the development of airway allergic reactions in these rat strains may be related to functional differences in their AM. We investigated the production of important mediators in asthma, namely tumour necrosis factor (TNF), interleukin-10 (IL-10), IL-12, IL-13, nitric oxide (NO) and macrophage inflammatory protein-1alpha (MIP-1alpha), by AM of unsensitized Sprague Dawley and Brown Norway rats. AM were purified by adherence and stimulated with OX8 (anti-CD8 antibody) or LPS. OX8 stimulation significantly increased the release of TNF, IL-10 and NO in both strains of rats, whereas MIP-1alpha and IL-12 release were increased in Brown Norway rats only. Interestingly, stimulated AM from Sprague Dawley rats released significantly more TNF and less IL-10, IL-12, IL-13, MIP-1alpha and NO compared with AM from Brown Norway rats. These differences were also observed at the mRNA level, except for TNF. Thus, AM from Brown Norway and Sprague Dawley rats are functionally different. Furthermore, LPS- and OX8-stimulated AM from Brown Norway rats produce more Th2 type cytokines (IL-10 and IL-13) than AM from Sprague Dawley rats, suggesting that these cells may play an important role in creating a cytokine milieu that may favour the development of allergic reactions.
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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".