Oral administration of <i>Lactobacillus salivarius</i> inhibits the allergic airway response in mice
Bibliographic record
Abstract
Asthma is recognized throughout the world as a chronic airway inflammatory disease. In this study, we investigated the effect of probiotics in response to antigen challenge in an ovalbumin (OVA)-sensitized asthma model in BALB/c mice. Lactobacillus salivarius PM-A0006 was orally administered to mice before antigen challenge. After antigen challenge, serum OVA-specific antibody levels, airway responsiveness to methacholine, influx of inflammatory cells to the lung, and cytokine levels in bronchoalveolar lavage (BAL) fluid and splenocytes were assessed. Oral treatment with live L. salivarius PM-A0006 significantly attenuated the influx of eosinophils to the airway lumen and reduced the levels of serum OVA-specific IgE and eotaxin in BAL fluid of antigen-challenged animals. Furthermore, L. salivarius PM-A0006 also decreased allergen-induced airway hyperresponsiveness and elevated the levels of IFN-gamma. These results showed that oral treatment with L. salivarius PM-A0006 could have therapeutic potential in the treatment of allergic airway disease.
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 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) | 0.001 | 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 | 0.001 | 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 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".